In real or complex LFMCW 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 netwrok. Simulation results show that neural network algorithm has higher resolution and lower SNR threshold in both systems, is suitable to LFMCW application.
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