Design and implementation of adaptive noise canceler based on RLS algorithm

被引：0
|
作者：
Wang, CX [1 ]
Zhang, XG [1 ]
Yan, CJ [1 ]
Liu, Y [1 ]
机构：
[1] Ocean Univ Qingdao, Ocean Remote Sensing Inst, Qingdao 266003, Peoples R China
来源：
ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings | 2005年
关键词：
adaptive canceller; RLS; algorithm;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Adaptive noise canceller is an evolution form of adaptive filter It is based on the cross correlation of auxiliary input (mainly noise, supposed as v(n)) between noise v(n) in primary input signal (s) over cap (n) + v(n) design an adaptive filter whose ideal output is v(n) while its input is v(n), then its Output (v) over cap (n) will be the most optimum estimate Of v(n), therefore output (s) over cap (n) of adaptive noise canceller will be the optimum estimate of signal s(n) while (n) is subtracted from auxiliary input. Recursive Least Square (RLS) algorithm is adopted in the adaptive filter and intensive data simulations are performed. The canceller is practical in the case of lacking preliminary knowledge for signal 5(n).
引用
收藏
页码：2530 / 2533
页数：4
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