DocumentCode :
460510
Title :
A Low-Complexity Channel Estimator for MIMO-OFDM Systems
Author :
Hwang, Yin-Tsung ; Peng, Sheng-Chi ; Lain, Jenn-Kaie
Author_Institution :
Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung
Volume :
2
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
1021
Lastpage :
1025
Abstract :
In this paper, a low complexity channel estimator for MIMO OFDM systems is proposed. A frequency domain filtering scheme based on the concept of temporal windowing for noise power reduction outside the window is developed to enhance the performance of the simple least square estimator. This approach can eliminate the extra FFT/IFFT operations required in the conventional time domain scheme. A temporal Hamming window is adopted to further reduce the computing complexity of the frequency domain filtering. Simulation results indicate the proposed scheme can significantly improve both the NMSE and BER performance of the LS channel estimator. Compared with the time domain most significant tap (MST) scheme, the proposed scheme has comparable performance but requires much less computing complexity. The proposed scheme also has the advantage in hardware implementation over the MST scheme
Keywords :
MIMO communication; OFDM modulation; channel estimation; error statistics; filtering theory; frequency-domain analysis; least squares approximations; BER performance; MIMO-OFDM system; bit error rate; channel estimator; frequency domain filtering scheme; least square estimator; multiple input multiple output system; temporal Hamming window concept; Bit error rate; Computational modeling; Filtering; Frequency domain analysis; Frequency estimation; Hardware; Least squares approximation; MIMO; Noise reduction; OFDM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
Type :
conf
DOI :
10.1109/ICCCAS.2006.284822
Filename :
4064063
Link To Document :
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