DocumentCode :
3455908
Title :
Channel estimation for OFDM systems with subspace persuit algorithm
Author :
Wu, Wen-Rong ; Chiueh, Ruey-Ching ; Tseng, Fan-Shuo
Author_Institution :
Inst. of Commun. Eng., Nat. Chiao-Tung Univ., Hsinchu, Taiwan
fYear :
2010
fDate :
21-23 June 2010
Firstpage :
269
Lastpage :
272
Abstract :
Signal recovery techniques for compressive sampling, such as matching pursuit (MP), orthogonal MP (OMP), and linear programming (LP), have been developed and applied to the spare channel estimation problem in orthogonal-frequency-division-multiplexed (OFDM) systems. In this paper, we first propose using a newly developed algorithm, subspace pursuit (SP), for the channel estimation problem. It is shown that the SP algorithm can outperform the MP, OMP, and LP algorithms. However, the SP algorithm will fail if the number of the pilots is small. We then propose a decision-feedback method, referred to as the pseudo-pilot assisted (PA) SP, which can be used in low pilot-density scenarios. Simulations show that the proposed PASP can significantly improve the performance of channel estimation when the number of pilots is small.
Keywords :
OFDM modulation; channel estimation; decision feedback equalisers; linear programming; signal reconstruction; signal sampling; time-frequency analysis; OFDM system; compressive sampling; decision-feedback method; linear programming; matching pursuit; orthogonal MP; orthogonal frequency division multiplexed system; pseudopilot assisted SP algorithm; signal recovery technique; sparse channel estimation; subspace persuit algorithm; Bandwidth; Channel estimation; Computational complexity; Delay; Linear programming; Matching pursuit algorithms; OFDM; Pursuit algorithms; Sampling methods; Wireless communication; compressive sampling (CS); matching pursuit (MP); orthogonal MP (OMP); orthogonal frequency division multiplexed (OFDM); sparse channel estimation; subspace pursuit (SP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Circuits and Systems (ICGCS), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6876-8
Electronic_ISBN :
978-1-4244-6877-5
Type :
conf
DOI :
10.1109/ICGCS.2010.5543056
Filename :
5543056
Link To Document :
بازگشت