Improved Whitening Method of Linear AR Colored Noise in Stable Distribution Environments

被引：0
|
作者：
Xiong, Meiying [1 ]
Zha, Daifeng [1 ]
Jiang, Jinlong [1 ]
机构：
[1] Jiujiang Univ, Coll Elect Engn, Jiujiang, Peoples R China
来源：
NSWCTC 2009: INTERNATIONAL CONFERENCE ON NETWORKS SECURITY, WIRELESS COMMUNICATIONS AND TRUSTED COMPUTING, VOL 1, PROCEEDINGS | 2009年
关键词：
alpha-stable distribution; covariation sequence; covariation spectrum; covariation function; whitening;
D O I：
10.1109/NSWCTC.2009.132
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The whitening problem of colored noise had been resolved for Gaussian white noise through linear system, but other inputs through other systems had not been resolved which includes non-Gaussian white noise through linear or nonlinear system. This paper briefly proposed an improved iteratively reweighted least P norm (IIRLP) algorithm for whitening in alpha-stable environments. And the parameters in linear model of stable colored noise were estimated, and the whitening method was explored. Simulation and analysis show that the method is more robust and solid than the methods before.
引用
收藏
页码：330 / 333
页数：4
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