Channel Parameters Estimation Algorithm Based on the Characteristic Function under Impulse Noise Environment

被引：0
|
作者：
Xu, Zhijiang [1 ]
Wang, Kang [2 ]
Meng, Limin [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
[2] Zhejiang Police Coll, Dept Comp & Informat Technol, Hangzhou 310053, Zhejiang, Peoples R China
来源：
RADIOENGINEERING | 2013年 / 22卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Parameter estimation; impulsive noise; symmetric alpha stable distribution; characteristic function;
D O I：
暂无
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：
Under communication environments, such as wireless sensor networks, the noise observed usually exhibits impulsive as well as Gaussian characteristics. In the initialization of channel iterative decoder, such as low density parity check codes, it is required in advance to estimate the channel parameters to obtain the prior information from the received signals. In this paper, a blind channel parameters estimator under impulsive noise environment is proposed, which is based on the empirical characteristic function in MPSK/MQAM higher-order modulation system. Simulation results show that for various MPSK/MQAM modulations, the estimator can obtain a more accurate unbiased estimation even though we do not know which kind of higher-order modulation is used.
引用
收藏
页码：1034 / 1040
页数：7
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