Micro-Doppler generated by rotation of wheels is a unique characteristic of wheeled vehicles.Extraction of micro-motion parameters of truck

etc.will offer important proof for classification and recognition of ground vehicles.Firstly

the echoes model of truck was established under narrowband signal

the mathematic expressions of Doppler induced by non-rotation scatterers and micro-Doppler induced by rotation scatterers were deduced.Secondly

corresponding dictionary bank consists of micro-motion parameters was constructed for matching pursuit

and convex optimization model under noisy condition was established for extraction of micro-motion parameters.Thirdly

for avoiding the heavy computation and storage burden induced by parameters extraction based on overcomplete dictionary

the smaller dynamic dictionary was structured after deduction of the convex function about micro-motion parameters set

the accurate and faster parameters estimation was obtained by dynamic adaptation of the dictionary and iterative approach to optimal solution under Least Square criteria.The effectiveness and robustness of the method were proved by the simulation results.