Human Micro-Doppler Frequency Estimation Using CESP-Based Viterbi Algorithm

Accurate acquisition of human micro-Doppler (m-D) frequencies remains a challenging task, which can help us to identify the target of interest and provide valuable information about its motion dynamics. In this letter, a novel theoretical method to estimate the m-D frequencies of human specific scattering parts from continuous-wave radar echo is proposed with a united application of a modified Viterbi algorithm and a nonlinear prediction technology. Although the proposed algorithm achieves a limited improvement in the estimation accuracy and produces better human m-D frequency curves, this algorithm suppresses the frequency ambiguity effectively. The employed search method enhances upon traditional ones and improves the efficiency of finding the optimal paths considerably. Experimental results demonstrate the superior performance of the proposed method.