Performance Analysis of the DD ML MIMO Channel Tracking Algorithm

被引：0
|
作者：
Karami, Ebrahim [1 ]
机构：
[1] Univ Oulu, CWC, FIN-90014 Oulu, Finland
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-8 | 2009年
关键词：
Bias factor; semiblind; channel tracking; DD; decision error rate; MIMO; ML; MMSE; MSE; training;
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：
In this paper, performance analysis of the decision directed (DD) maximum likelihood (ML) Multiple-Input Multiple-Output (MIMO) channel tracking algorithm is presented. The ML channel tracking algorithm presents efficient performance especially in the DD mode of the operation. Because of the nonlinear decision device, analysis of the DD based algorithms is very difficult. In this paper, first the decision error rate is computed for the known channel tracking error and then the channel tracking error is evaluated for the known decision error rate. The presented analysis is compared with the simulation results for different Doppler frequency shifts and SNRs, and it is shown that the analysis and simulation results are in a good match even for high rank MIMO channels and high Doppler shifts.
引用
收藏
页码：3830 / 3835
页数：6
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