Nonlinear RLS algorithm for amplitude estimation in class A noise

被引:6
|
作者
Weng, JF [1 ]
Leung, SH [1 ]
机构
[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源
IEE PROCEEDINGS-COMMUNICATIONS | 2000年 / 147卷 / 02期
关键词
D O I
10.1049/ip-com:20000182
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An adaptive nonlinear recursive least square (RLS) algorithm for amplitude estimation in class A noise is presented. For Gaussian input signal and class A noise, its mean and mean-square behaviours are studied. It is shown that the linear RLS and nonlinear RLS algorithm with the clipper function are stable in the mean and mean square. For non-Gaussian input, amplitude estimation in CDMA communication is presented. Simulation results show that the nonlinear RLS can provide good performance close to the Cramer-Rao bound and outperform the nonlinear LMS and the conventional RLS in impulse noise.
引用
收藏
页码:81 / 86
页数:6
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