Multiple symbols soft-decision metrics for coded frequency-shift keying signals  

作　　者：MA Zheng PERSSON Danie LARSSON Erik G. FAN PingZhi 

机构地区：[1]Provincial Key Lab of Information Coding and Transmission, Southwest Jiaotong University [2]National Mobile Communications Research Laboratory, Southeast University [3]Department of Electrical Engineering, Linkping University

出　　处：《Science China(Information Sciences)》2013年第2期44-51,共8页中国科学（信息科学）（英文版）

基　　金：supported by National Basic Research Program of China (973 Pro-gram) (Grant No. 2012CB316100);National Natural Science Foundation of China (Grant Nos. 60902022,61028002/F0102, 60872013);Fok Ying Tung Education Foundation (Grant No. 122001);Program for New Century Excellent Talents in University (Grant No. NECT-10-0705);China Scholarship Council Funding, 111 Project Foundation (Grant No. 111-2-14);Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (Grant No. 2011D16);Fundamental Research Funds for the Central Universities (GrantNos. SWJTU11CX147, SWJTU12ZT02, SWJTU11CX040);Key Grant Project of Chinese Ministry of Education (Grant No. 311031100);Young Innovative Research Team of Sichuan Province (Grant No. 2011JTD0007);sponsored by Security Link;supported by VINNOVA;Swedish Research Council (VR);Swedish Foundation for Strategic Research (SSF);supported by a grant from the Knut and Alice Wallenberg Foundation

摘　　要：This paper derives a novel multiple symbols soft-decision metrics for frequency-shift keying signals which are affected by additive symmetric α -stable （S α S） noise and fading. The approximate metric, which is for the case where channel state information （phases, amplitudes, and noise dispersion parameter） is unknown is obtained based on a generalized-likelihood ratio （GLR） approach. The metric is obtained in closed form and proved to be effective. The performances of the multiple symbols soft-decision metrics are compared numerically for a turbo-coded system. The proposed multiple symbols metric provides substantial improvement over earlier single-symbol metrics.This paper derives a novel multiple symbols soft-decision metrics for frequency-shift keying signals which are affected by additive symmetric α -stable （S α S） noise and fading. The approximate metric, which is for the case where channel state information （phases, amplitudes, and noise dispersion parameter） is unknown is obtained based on a generalized-likelihood ratio （GLR） approach. The metric is obtained in closed form and proved to be effective. The performances of the multiple symbols soft-decision metrics are compared numerically for a turbo-coded system. The proposed multiple symbols metric provides substantial improvement over earlier single-symbol metrics.

关 键 词：multiple symbols detection generalized likelihood ratio （GLR） symmetric α -stable （S α S） noise fading channel 

分 类 号：TN911.2[电子电信—通信与信息系统]