Clutter Polarization Estimation Based on An Adaptive Polarization Filtering Approach
Estimation of the clutter polarization has key significance if we use virtual polarization filtering approach to suppress the clutter and matain the target at the time. This paper proposes a new algorithm to estimate the clutter polarization. In this paper adaptive variable step size Least Mean Square Error (LMS) recursive function is set up based on double polarization receiving signal model. By choosing desired response signal properly, the receiving data can be estimated by using the proposed approach. The result of the estimation is used for Null Phase-Shift Instantaneous Polarization Filter (NPSPF) design and the targets amplitude and phase compensation. Here the tracking performance of this adaptive polarization filtering approach is discussed detailedly. The simulation results accordding with the above analysis shows that clutter suppression is effective.
Clutter Polarization Estimation Adaptive Polarization Filtering Least Mean Square
Liu Fang Qi Haiming Li Jianxun
Department of information science and technology Heilongjiang University Harbin, P.R. China Institute of Electronics Chinese Academy of Sciences Beijing, P.R. China Entrance Examination Committee Office of Heilongjiang Province Harbin, P.R. China
国际会议
哈尔滨
英文
4208-4211
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）