Projects:2020s1-1231 Radar Waveform Design

From Projects
Revision as of 11:06, 19 October 2020 by A1684709 (talk | contribs) (Motivation)
Jump to: navigation, search


Abstract here

Introduction

This project will study the performance of several advanced digital binary and polyphase waveforms and compare their performance to unmodulated pulses and linear FM pulses with comparable time-bandwidth products. Comparisons will be made in terms of key performance metrics, including sidelobe levels, Doppler tolerance, resolution, performance in the presence of noise and EM interference. This study will initially be carried out using theoretical simulations, with the findings then verified using a software-defined dual channel transceiver.

Project team

Project students

  • Wong Ming Eer
  • Shalin Shah

Supervisors

  • Brian Ng
  • Dr Waddah Al-Ashwal (SRC Australia)

Advisors

Objectives

Creating radar waveform using Matlab to understand the basic principals.

Background

Radar is an acronym of Radio Detection and Ranging and the system emits EM waves. The basic principle of the radar system is to find and position a target and determine the distance between the target and transmitting antenna.

Motivation

The problem of detecting small targets is challenging especially with a heavy clutter background. We aim to exploit waveform agility by tailoring the transmit waveform to have a second look on the target location to suppress the range bins with heavy clutter. An alternative method using mismatch filter was explored and implemented on the received signal to suppress sidelobes if waveform agility is not feasible.

The agile waveform would suppress range bins with high clutter while the mismatch filter would instead be suppressing overall sidelobes. From both implementations, we would aim to decrease the false alarm rate and improve the detection performance.

Results

Conclusion

References

[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.