Channel estimation for NC-OFDM systems based on subspace pursuit algorithm

Author

Enqing Chen ; Caihong Chu

Author_Institution

Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China

Volume

1

fYear

2012

fDate

21-25 Oct. 2012

Firstpage

88

Lastpage

91

Abstract

The Non-Contiguous Orthogonal Frequency Division Multiplexing (NC-OFDM) is a promising transmission scheme in Cognitive Radio (CR) system. In this article, we introduce a new channel estimation method based on Compressive Sensing (CS). Simulations show that when the number of pilots is equal, CS-based channel estimation can have a better performance compared with traditional Least Squares (LS) method in terms of mean square error (MSE) as well as the bit error rate (BER).

Keywords

OFDM modulation; channel estimation; cognitive radio; compressed sensing; error statistics; least squares approximations; mean square error methods; BER; CR system; CS-based channel estimation; LS method; MSE; NC-OFDM systems; bit error rate; cognitive radio system; compressive sensing; least squares method; mean square error; noncontiguous orthogonal frequency division multiplexing; subspace pursuit algorithm; transmission scheme; Cognitive Radio; LS; NC-OFDM; channel estimation; compressive sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2012 IEEE 11th International Conference on

Conference_Location

Beijing

ISSN

2164-5221

Print_ISBN

978-1-4673-2196-9

Type

conf

DOI

10.1109/ICoSP.2012.6491607

Filename

6491607