Methods for Detection Improvement of FMCW Radar

  • Aamna Al Teneiji

Student thesis: Master's Thesis

Abstract

Frequency Modulated Continuous Wave Radar (FMCW) is a special type of continuous wave radars. It is used to detect targets and measure their distances and velocities. Accurate target detection and high range resolution of radars are important properties in the radar field. A radar with higher range resolution can detect several objects located close to each other. Signal processing can be used to improve these properties rather than changing the hardware design or radar specifications. The goal of this thesis is to present several signal processing methods that improve the detection of the FMCW radar. Signal processing task is essential in any type of radar to achieve accurate detection. An FMCW radar was designed at ISM frequency band, simulated using MATLAB and verified by experiments. Different methods of signal processing were studied and implemented in the radar to improve the radar detection in case of single or multiple targets detection. Typically, Fast Fourier Transform is used to process the beat frequency signal and extract the targets information. However, it is not always sufficient and it needs post processing to improve the results. Consequently, windowing, zero-padding, Chirp-Z transform and Jacobsen's frequency estimator are proposed techniques to improve the single target detection. A comparison among their performances will be discussed. Furthermore, super resolution algorithms such as Multiple Signal Classification (MUSIC) and Root-MUSIC algorithms were studied and implemented to improve the detection of multiple targets. Their performances among different scenarios was evaluated. Future works of this research is also proposed
Date of AwardOct 2019
Original languageAmerican English

Keywords

  • FMCW Radar
  • signal processing
  • Range Resolution
  • FrequencyEstimation
  • MUSIC Algorithm
  • Root-MUSIC Algorithm

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