Performance Analysis of EM-Based Iterative SNR Estimation for Coded Signals

被引：0
|
作者：
Ke Jing [1 ]
Xu Hua [1 ]
Wang Ai-fen [1 ]
机构：
[1] Air Force Engn Univ, Informat & Nav Inst, Xian 710077, Peoples R China
来源：
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年
关键词：
SNR estimation; iterative LDPC decoding; EM algorithm; MAXIMUM-LIKELIHOOD;
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：
This paper considers signal-to-noise ratio (SNR) estimation in transmission systems with an iteratively decodable low-density parity-check (LDPC) code by means of the expectation-maximization (EM) algorithm. We present a simplified version of the code-aided (CA) estimation algorithm by introducing the embedded estimation technique to reduce the computational complexity related to the iterative process of the estimator. And we also show that the conventional non-data-aided (NDA) estimators can be interpreted as a special case of the CA estimator. Computer simulations show that the improve CA approach can achieve good estimates at low SNR with significantly less computation.
引用
收藏
页码：1384 / 1387
页数：4
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