Neural networks adaptive radio fuse noise canceller

被引：0
|
作者：
Zheng, J [1 ]
Huang, SQ [1 ]
Wang, JQ [1 ]
机构：
[1] Xian Res Inst Hitech, Xian 710025, Peoples R China
来源：
ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS | 2003年
关键词：
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：
A novel nonlinear adaptive filter that is adaptive to cancel radio fuse noise is provided in this paper. It is a Fully Adaptive Normalized Nonlinear Gradient Descent (FANNGD) algorithm for neural networks adaptive filter. FANNGD algorithm and neural networks filter structure are investigated, and neural networks adaptive radio fuse noise canceller is realized. FANNGD algorithm has faster convergence speed, so neural networks canceller can quickly and effectively cancel correlative noise of radio fuse. The goal is reached to cancel dummy signal of fuse signal, to filter interference signal and to improve measurement precision. This idea is practicable according to the results of the computer simulations experiments.
引用
收藏
页码：1153 / 1156
页数：4
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