Performance comparison of super-resolution estimation algorithms used in real or complex LFMCW systems

Abstract

In real or complex linear FMCW (LFMCW) radar systems, employing algorithms with super-resolution capability and low SNR threshold can mitigate the system demands for power and bandwidth, and reduce system cost. In this paper, a comparative study among three typical algorithms is carried out on statistical SNR and resolution performance: MUSIC, AR, and neural network. Simulation results show that the neural network algorithm, having higher resolution and lower SNR threshold in both systems, is suitable for LFMCW applications.