A Novel Low-Complexity Joint Range-Azimuth Estimator for Short-Range FMCW Radar System

Abstract

Aiming at the problem of high complexity of the conventional parameter joint estimation algorithm and the more clutter interference in the measured data. This paper proposes a novel joint range and azimuth estimator using multi-chirp coherent accumulation (MCA) for short-range frequency modulated continuous wave (FMCW) radar. Specifically, we combine fast Fourier transform (FFT) and multiple signal classification (MUSIC) using MCA to estimate range and angle. We verify the performance of the proposed algorithm by measured data, and the results show that our algorithm greatly improve the accuracy of measured data estimation and reduce the complexity.