In order to improve the precision and robustness of parameter estimation

the multi-aspect SAR data is applied to estimate model parameter of attributed scattering center.We consider the parameter estimation as a sparse signal reconstruction problem

and propose parameter-sequential algorithm to relieve the computational complexity.Two factors are studied.First

the aspect and frequency diversity can improve the performance of dictionary matrix.Second

in order to reduce the algorithm complexity

the parameter estimation procedure is realized sequentially.The initial imagery is reconstructed by dictionary matrix which is built up by the ideal point scattering model.The model order

location and type of scattering center are established primarily by energy segment of initial imagery.Then all parameters are estimated over again based on the dictionary matrix which is built up by the prior estimation.The feasibility and robustness of algorithm is validated by numeric simulation.