Micro-Doppler and Micro-Range Detection via Doppler-resilient 802.11ad-Based Vehicle-to-Pedestrian Radar

Abstract

We present a vehicle-to-pedestrian (V2P) link based on IEEE 802.11ad protocol for enhanced micro-Doppler and micro-range detection of targets such as pedestrians and cars. The 802.11ad preamble encapsulates complementary Golay sequences whose perfect autocorrelation property has been exploited recently for target localization in joint radar-communications systems. However, this property is perturbed by non-zero Doppler phase shifts introduced by moving targets. In this work, we propose embedding the 802.11ad packets with the Doppler-resilient waveforms based on the Prouhet-Thue-Morse sequence to improve the V2P target detection and recognition. We use analytical and animation models to generate the range-Doppler, range-time and Doppler-time radar signatures and compare them for standard and Doppler-resilient 802.11ad waveforms. Our numerical experiments for a pedestrian and a car show very detailed features with 20 dB improvement in sidelobe levels for a Doppler-tolerant link when compared with a standard 802.11ad protocol.