摘要
研究了快速极大似然(Fast Maximum Likelihood,FML)算法在旁瓣对消系统中的应用,采用前后向平均技术和FML算法相结合的方法,解决相关干扰的抑制问题,与传统的采样矩阵求逆(Sample MatrixInversion,SMI)方法相比,该方法具有收敛速度快,运算量小的特点,理论分析和仿真结果表明了该算法的有效性.
This paper studies the application of FML（Fast Maximum Likelihood,FML）algorithm to the sidelobe cancellation system.A new approach,which combines the Forward/Backward averaging technique and the FML method,is used to cancel the correlated jamming.Compared with the traditional SMI（Sample Matrix Inversion,SMI）,this method has advantages of fast convergence and low computation.Theoretical analysis and simulation results are presented to demonstrate its effectiveness.
出处
《测试技术学报》
2010年第5期431-435,共5页
Journal of Test and Measurement Technology
关键词
自适应旁瓣对消
快速极大似然算法
前后向平均
相关干扰
adaptive sidelobe cancellation
fast maximum likelihood algorithm
forward/backward averaging
correlated jamming
