DocumentCode
2806490
Title
Performance analysis of blind adaptive MIMO receivers
Author
Balasingam, B. ; Bolic, M. ; Shahbazpanahi, S. ; Kirubarajan, T.
Author_Institution
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
fYear
2010
fDate
14-19 March 2010
Firstpage
3438
Lastpage
3441
Abstract
In this paper, we derive a theoretical performance evaluation scheme of Kalman filter based channel tracking and data decoding for multiple-input multiple-output orthogonal frequency division multiplexed (MIMO-OFDM) communication systems that are based on orthogonal space-time block codes. The derivation is approximate, however, it is novel and demonstrated accurate for practical scenarios. Assuming a prior distribution for the initial channel we have derived the instantaneous signal to interference and noise ratio (SINR) for consecutive transmission blocks in the absence of training by exploiting Kalman filtering to track the channel. A theoretical estimation of BER is then derived based on such instantaneous SINR values. The resulting analysis is able to study the effect of different parameters of the system such as the number of antennas, number of sub-carriers, mobile velocity and the assumed channel length on the BER performance of the system. Numerical examples confirm the validity of the theoretical analysis.
Keywords
Kalman filters; MIMO communication; OFDM modulation; decoding; error statistics; receivers; space-time codes; BER performance; Kalman filter based channel tracking; MIMO-OFDM communication system; SINR; blind adaptive MIMO receiver; data decoding; multiple input multiple output orthogonal frequency division multiplexing; orthogonal space time block code; performance analysis; signal to interference and noise ratio; Bit error rate; Block codes; Communication systems; Decoding; Frequency division multiplexing; Interference; Kalman filters; MIMO; Performance analysis; Signal to noise ratio; Channel tracking; Kalman filtering; MIMO-OFDM systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495966
Filename
5495966
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