Estimating Signal Parameters in Strong Clutter Using SVM-Based Chaos Synchronization  

作　　者：HE Di 

机构地区：[1]Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200250, China

出　　处：《Chinese Journal of Electronics》2011年第1期91-97,共7页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.60802058 and No.60832009）, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry of China.

摘　　要：In this paper, a novel approach for estimating signal parameters in strong clutter using chaos synchronization based on Support vector machine （SVM） is proposed. Assuming that the clutter process is chaotic, chaos synchronization is found to be able to extract the weak signal even when the signal is totally embedded inside the clutter spectrum. When the dynamics of the chaotic system is unknown, an SVM-based chaos synchronization is proposed to estimate the signal parameters. The unbiasedness and efficiency of the proposed approach are evaluated theoretically. Computer simulations on estimating sinusoidal frequencies confirm that the weak target frequencies can be estimated accurately. The proposed method is shown to have a better Mean square error （MSE） performance than the conventional techniques. Apply the proposed method to the narrowband interference cancellation problem in a Spread spectrum （SS） communication system and it is demonstrated that the proposed method can effectively suppress the narrowband interference.

关 键 词：Chaos synchronization Clutter  Parameter estimation  Support vector machine （SVM）  Interference cancellation  Spread spectrum （SS） 

分 类 号：TN957.51[电子电信—信号与信息处理] O415.5[电子电信—信息与通信工程]