Title :
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
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;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491607
