Title :
Improved EM-Based H-Infinity Channel Estimator for MIMO-OFDM Systems
Author :
Xu, Peng ; Wang, Jinkuan ; Xin, Fengming
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, an H-infinity channel estimator, adopting simplified objective function, is introduced to multiple-input multiple-output with orthogonal frequency division multiplexing (MIMO-OFDM) systems. Next, the matrices inversions and multiplications are reduced by using the expectation maximum (EM) algorithm. Finally, the performance degradation due to the carrier frequency offset (CFO) is improved by using the equivalent signal model (ESM). Simulation experiments show that the proposed H-infinity estimator has almost the same performance as the MAP estimator and EM-based H-infinity estimator has obviously improvement over least square (LS) estimator with good convergence. Furthermore, EM-based H-infinity estimator based on ESM could obtain remarkable improvement under frequency mismatch circumstance.
Keywords :
MIMO communication; OFDM modulation; channel estimation; least squares approximations; matrix algebra; maximum likelihood estimation; CFO; EM algorithm; EM-based H-infinity channel estimator; ESM; LS estimator; MAP estimator; MIMO-OFDM system; carrier frequency offset; equivalent signal model; expectation maximum algorithm; frequency mismatch; least square estimator; matrix inversion; multiple-input multiple-output system; orthogonal frequency division multiplexing; Channel estimation; Frequency estimation; H infinity control; MIMO; Noise; OFDM; Wireless communication;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6036642