Projects - User contributions [en]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T15:33:40Z

A1655714: /* Multilateration */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

Each curve is characterised by this equation, where '''t''' is the time for the sound to reach each microphone and '''r''' is the converted distance. The constant 'r' is the same if you take the distance from any point to each sensor pair and then find the difference that will be '''r'''.

[[File:y9rs4edg.png|140px]]

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T13:41:57Z

A1655714: /* Multilateration */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

Each curve is characterised by this equation, where t is the time for the sound to reach each microphone and r is the converted distance.

[[File:y9rs4edg.png|132px]]

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T13:37:00Z

A1655714: /* Multilateration */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

Each curve is characterised by this equation, where t is the time for the sound to reach each microphone and r is the converted distance.

[[File:y9rs4edg.png]]

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T13:34:07Z

A1655714: /* Multilateration */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

Each curve is characterised by this equation, where t is the time for the sound to reach each microphone and r is the converted distance.
[[File:y9rs4edg.png]]

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T13:33:04Z

A1655714: /* Multilateration */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

Each curve is characterised by this equation, where t is the time for the sound to reach each microphone and r is the converted distance.

[File:y9rs4edg.png]

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

File:Y9rs4edg.png

2017-08-30T13:31:47Z

A1655714: hyperbola_t

hyperbola_t

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T13:19:54Z

A1655714: /* Multilateration */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

Each curve is characterised by this equation, where t is the time for the sound to reach each microphone and r is the converted distance.

[http://mathurl.com/y9rs4edg.png]

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T13:18:16Z

A1655714: /* Multilateration */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

Each curve is characterised by this equation, where t is the time for the sound to reach each microphone and r is the converted distance
http://mathurl.com/y9rs4edg.png

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T12:14:31Z

A1655714: /* Time Difference Of Arrival */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Estimator Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-08-30T12:11:27Z

A1655714: /* Time Difference Of Arrival */

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Method
* Adaptive Eigenvalue Decomposition

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-05-20T05:17:21Z

A1655714:

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|border|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Method
* Parameter Estimation

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-05-20T04:13:32Z

A1655714:

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==
The original project title still remains for the page but we have been working by the title of: 

==== Sound Multilateration for Positioning of the Sound Source ====

as Multilateration is the more correct term. 

=== Objectives ===
The primary objective of the project is to devise a system to successfully locate and generate relative coordinates in a 2D plane of a stationary acoustic sound source in an *ideal space with known microphone sensor positions.

Subsequent goals are to: 
* Track a moving source.
* Develop the system further by increasing the system capability, and to successfully apply it to a less controlled environment where we need to account for background noise and spaces with different levels of reverberation.

(*) Note: Ideal is defined as anechoic, with minimal level noise, and limited to a predefined coverage area. The speed of sound will be approximated for the measured ambient temperature as applied to dry air.

=== Motivation ===

Some applications that have been suggested would be for:

* automatic control of camera angle for conferences with many speakers in seated positions.
* For pinpointing gun fire or loud transient sounds in wider areas.
* To focus lighting in large rooms or on stages.

== Background ==

=== Multilateration ===
[[File:Intersecting_hyps_01.png|right|600px]]

Multilateration is a navigation technique that uses the Time Difference of Arrival method or '''TDOA''' to find a transmitter (ie. sound) from an array of receivers (ie. microphones). Its a geometric algorithm which finds the estimated position from intersecting hyperbola equations that are centred at discrete pairs of receivers. This gives a range of solutions that then need to be reduced by another method.

The image to the right shows how the hyberbolic curves interact in relation to the emitter and receivers. Each different colour curve is related to one discrete pair of receivers.

===Time Difference Of Arrival===
This information is arguably the most important part of the whole equation as the method to find the coordinates relies heavily on this to be accurate. There are a variety of ways to estimate the '''TDOA''' and some are more reliable than others. For example:

* Cross Correlation
* Generalised Cross Correlation (GCC)
* The Least Squares Method
* Parameter Estimation

===Positioning===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]

File:Intersecting hyps 01.png

2017-05-20T03:44:41Z

A1655714: Intersecting hyperbolas based on the location of the emitter in relation to the 3 receivers

Intersecting hyperbolas based on the location of the emitter in relation to the 3 receivers

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-03-29T09:44:59Z

A1655714: /* General Principle */

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-03-29T09:10:00Z

A1655714: /* Motivation */

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-03-29T09:03:02Z

A1655714: /* Objectives */

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-03-29T09:01:18Z

A1655714:

Projects:2017s1-127 Sound Trilateration for Positioning of the Sound Source

2017-03-21T08:18:07Z

A1655714: Created page with " == Supervisors == *Dr Brian Ng *Dr Withawat Withayachumnankul == Students == *Scott Morphett *Jessica Pisaniello == Introduction == === Objectives === === Motivation ===..."

== Supervisors ==
*Dr Brian Ng
*Dr Withawat Withayachumnankul

== Students ==
*Scott Morphett
*Jessica Pisaniello

== Introduction ==

=== Objectives ===

=== Motivation ===

== Background ==

=== General Principle ===

== Design ==

== Results ==

== Conclusion ==

== References ==
[1]

[2]

[3]

[4]