Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing

Abstract EN

When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem.

In this paper, we propose a novel method based on compressed sensing (CS) to solve micro-Doppler ambiguity.

According to the RIP requirement, a sparse probing pulse train with its transmitting time random is designed.

After matched filtering, the slow-time echo signals of the micromotion target can be viewed as randomly sparse sampling of Doppler spectrum.

Select several successive pulses to form a short-time window and the CS sensing matrix can be built according to the time stamps of these pulses.

Then performing Orthogonal Matching Pursuit (OMP), the unambiguous micro-Doppler spectrum can be obtained.

The proposed algorithm is verified using the echo signals generated according to the theoretical model and the signals with micro-Doppler signature produced using the commercial electromagnetic simulation software FEKO.