DocumentCode :
3047317
Title :
Pilot pattern optimization for compressed sensing based sparse channel estimation in OFDM systems
Author :
He, Xueyun ; Song, Rongfang
Author_Institution :
Sch. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
5
Abstract :
The frequency selective channel estimation problem in orthogonal frequency division multiplexing (OFDM) systems is investigated using compressed sensing (CS). Based on minimizing mutual coherence of the measurement matrix in CS theory, a criterion of optimizing the pilot pattern for the CS-based channel estimation is proposed. Simulation results show that using the pilot pattern designed according to the proposed optimization criterion 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.
Keywords :
OFDM modulation; channel estimation; error statistics; mean square error methods; optimisation; OFDM systems; bit error rate; compressed sensing; frequency selective channel estimation; mean square error; optimization criterion; orthogonal frequency division multiplexing; pilot pattern optimization; sparse channel estimation; Bit error rate; Channel estimation; Compressed sensing; Delay; Matching pursuit algorithms; OFDM; Optimization; OFDM; channel estimation; compressed sensing; mutual coherence; pilot pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4244-7556-8
Electronic_ISBN :
978-1-4244-7554-4
Type :
conf
DOI :
10.1109/WCSP.2010.5633478
Filename :
5633478
Link To Document :
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