Pilot Allocation for Sparse Channel Estimation in MIMO-OFDM Systems

The frequency-selective channel-estimation problem in multi-input-multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is investigated from the perspective of compressed sensing (CS). By minimizing the mutual coherence of the measurement matrix in CS theory, two pilot allocati...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2013-09, Vol.60 (9), p.612-616
Main Authors: He, Xueyun, Song, Rongfang, Zhu, Wei-Ping
Format: Article
Language:English
Subjects:
Antennas
Bit error rate
Channel estimation
Coherence
compressed sensing (CS)
multi-input-multi-output orthogonal frequency division multiplexing (MIMO-OFDM)
mutual coherence
OFDM
pilot allocation
Resource management
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Summary:The frequency-selective channel-estimation problem in multi-input-multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is investigated from the perspective of compressed sensing (CS). By minimizing the mutual coherence of the measurement matrix in CS theory, two pilot allocation methods for the CS-based channel estimation in MIMO-OFDM systems are proposed. Simulation results show that using the pilot patterns designed by the two proposed methods gives a much better performance than using other pilot patterns in terms of the mean square error of the channel estimate as well as the bit error rate of the system. Moreover, the optimal pilot patterns obtained by the proposed second method based on genetic algorithm and shift mechanism could offer a larger performance gain than those by the first method based on minimizing the largest element in the mutual coherence set possessed by pilot patterns for all multiple antenna ports.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2013.2268433