Application research of adaptive two-path updating algorithm in echo interference suppression

被引:1
|
作者
Cai Wenlong [1 ]
机构
[1] North China Inst Aerosp Engn, Dept Elect, Langfang 065000, Hebei, Peoples R China
来源
PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015) | 2015年
关键词
self-adaption; interference suppression; echo return loss enhancement; error power;
D O I
10.1109/ICICTA.2015.61
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Two-path FIR filter updating structures can correctly distinguish both-way communication and channel mutation. In order to improve two-path updating algorithm efficiency, an improved updating logic based on echo return loss enhancement (ERLE) is designed to control the updating of foreground FIR filter. Specifically, such updating logic aims at comparing ERLE of the foreground FIR filter and the background FIR filter so as to determine whether to update the foreground FIR filter. This improved updating logic can correctly distinguish both-way communication and channel mutation, and improve algorithm convergence rate, as well as reduce storage resource and calculation complexity. Meanwhile, the simulation has verified the effectiveness of this algorithm.
引用
收藏
页码:213 / 216
页数:4
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