Modified Kalman Filters for Channel Estimation in Orthogonal Space-Time Coded Systems

被引：20
|
作者：
Loiola, Murilo B. [1 ]
Lopes, Renato R. [2 ]
Romano, Joao M. T. [2 ]
机构：
[1] Univ Campinas Unicamp, Sch Elect & Comp Engn, Campinas, Brazil
[2] Univ Estadual Campinas, Sch Elect & Comp Engn, BR-13083852 Campinas, Brazil
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2012年 / 60卷 / 01期
基金：
巴西圣保罗研究基金会;
关键词：
Channel estimation; Kalman filters; MIMO; Riccati equations; space-time codes; state estimation; BLOCK-CODES;
D O I：
10.1109/TSP.2011.2170682
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：
We derive and analyze two modified Kalman channel estimators (KCE) for time-varying, flat, spatially correlated MIMO channels in systems employing orthogonal space-time block codes: the steady-state KCE, which is less complex than the KCE, and the fading memory KCE, which is more robust to model mismatch.
引用
收藏
页码：533 / 538
页数：7
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