Detection and estimation of Micro-motion target based on MM-CBMeMBer filter

A micro-motion target detection and parameter estimation method based on MM-CBMeMBer (Multiple Model Cardinality Balanced Multiple target Multi- Bernoulli) filter is proposed to solve the problem of missing target position information and poor real-time performance in micro-Doppler estimation of rotating target based on time- frequency analysis method. Based on the traditional target CV model CBMeMBer filter, the CV motion model of the target micro-motion component is established. The MM- CBMeMBer filter is used to recursively obtain the most suitable model and estimate it. The image processing problem in time-frequency analysis is transformed into the parameter estimation problem in Bayesian theory. Simulation and experimental data show that the micro- motion target detection and estimation method based on MM-CBMeMBer filter is significantly different from the single-mode CBMeMBer filter, which effectively solves the problem that the traditional filtering method completely loses the micro-motion information and only uses the main echo information.