Comparative of signal processing techniques for micro-Doppler signature extraction with automotive radar systems

Berta Rodriguez-Hervas; Michael Maile; Benjamin C. Flores

doi:10.1117/12.2053323

29 May 2014 Comparative of signal processing techniques for micro-Doppler signature extraction with automotive radar systems

Berta Rodriguez-Hervas, Michael Maile, Benjamin C. Flores

Author Affiliations +

Proceedings Volume 9077, Radar Sensor Technology XVIII; 90771A (2014) https://doi.org/10.1117/12.2053323
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

In recent years, the automotive industry has experienced an evolution toward more powerful driver assistance systems that provide enhanced vehicle safety. These systems typically operate in the optical and microwave regions of the electromagnetic spectrum and have demonstrated high efficiency in collision and risk avoidance. Microwave radar systems are particularly relevant due to their operational robustness under adverse weather or illumination conditions. Our objective is to study different signal processing techniques suitable for extraction of accurate micro-Doppler signatures of slow moving objects in dense urban environments. Selection of the appropriate signal processing technique is crucial for the extraction of accurate micro-Doppler signatures that will lead to better results in a radar classifier system. For this purpose, we perform simulations of typical radar detection responses in common driving situations and conduct the analysis with several signal processing algorithms, including short time Fourier Transform, continuous wavelet or Kernel based analysis methods. We take into account factors such as the relative movement between the host vehicle and the target, and the non-stationary nature of the target’s movement. A comparison of results reveals that short time Fourier Transform would be the best approach for detection and tracking purposes, while the continuous wavelet would be the best suited for classification purposes.

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Berta Rodriguez-Hervas, Michael Maile, and Benjamin C. Flores "Comparative of signal processing techniques for micro-Doppler signature extraction with automotive radar systems", Proc. SPIE 9077, Radar Sensor Technology XVIII, 90771A (29 May 2014); https://doi.org/10.1117/12.2053323

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KEYWORDS

Radar

Signal processing

Time-frequency analysis

Wavelets

Fourier transforms

Doppler effect

Chromium

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