Algorithms of Channel SVD Estimation in MIMO-OFDM Systems: Evaluation and Comparison

被引：0
|
作者：
Moghaddari, M. [1 ]
Zamiri-Jafarian, H. [2 ]
机构：
[1] Ferdowsi Univ Mashhad, Commun & Comp Res Ctr, Mashhad, Iran
[2] Ferdowsi Univ Mashhad, Dept Elect Engn, Mashhad, Iran
来源：
2008 INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS, VOLS 1 AND 2 | 2008年
关键词：
first-order perturbation-based algorithm; linear constrained LMS-based algorithm; MIMO; OFDM; SVD;
D O I：
10.1109/ISTEL.2008.4651335
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：
The previously proposed first-order perturbation-based algorithm and linear constrained least mean square (LMS) based algorithm for channel matrix singular value decomposition (SVD) in multiple - input multiple - output (MIMO) orthogonal frequency division multiplexing (OFDM) systems are evaluated and compared in this paper from orthogonality, signal to noise plus interference ratio (SINR) and bit error rate (BER) view points. Due to approximations made in the perturbation-based algorithm to reduce its complexity, studies show that the estimates of the right and left singular matrices do not become unitary in this algorithm. This phenomenon causes more spatial interference and therefore the perturbation-based algorithm has less performance in comparison with the LMS-based algorithm at high SNRs.
引用
收藏
页码：399 / +
页数：2
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