A Joint Blind Channel Order Estimation Algorithm

被引：1
作者：
Wang, Yuhong [1 ]
Jin, Liang [2 ]
机构：
[1] Air Def Force Acad, Zhengzhou, Peoples R China
[2] Technol Res Ctr, Natl Digital Switching Syst Engn, Zhengzhou, Peoples R China
来源：
2014 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS | 2014年
关键词：
blind channel order estimation; single-input multiple-outputs; subspace method; extreme eigenvalue cost function; least squares equalization; ANTENNA-ARRAYS; EQUALIZATION; IDENTIFICATION;
D O I：
10.1109/CICN.2014.242
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A joint order estimation criterion by combination extreme eigenvalue cost function (deduced from subspace identification) and least squares equalization is proposed, this new criterion ensures the global minimum at the correct and/or effective channel order in noiseless case. For low or moderate SNRs, the joint order estimation algorithm is able to work with short samples and ill-conditioned channels. Simulation results also demonstrate the superiority of this algorithm over other existing methods.
引用
收藏
页码：1158 / 1162
页数：5
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