DocumentCode :
643595
Title :
Modified compressive sensing based receiver for impulse radio communications in UWB channels
Author :
Qi Zhang ; Jiayin Qin ; Nallanathan, Arumugam
Author_Institution :
Dept. of Electron. & Commun. Eng., Sun Yat-Sen Univ., Guangzhou, China
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
292
Lastpage :
296
Abstract :
For impulse radio communications, the coherent Rake receiver requires accurate time acquisition and channel estimation whereas the autocorrelation receiver (AcR) requires a wideband analog delay element which has high complexity. In this paper, we propose a modified compressive sensing (CS) based receiver to avoid the stringent time acquisition, channel estimation and complicated wideband analog delay element. Different from the conventional CS algorithms, the proposed receiver modifies the randomly generated base functions according to channel statistics and simplifies the ℓ1 norm minimization as to form the detection template by combining several base functions which have larger correlation coefficients with the received signal. Furthermore, the received signal is demodulated by a symbol rate sampling at the proposed receiver. Computer simulation results show that the proposed receiver outperforms the Rake receiver with 8 fingers and AcR.
Keywords :
compressed sensing; delays; minimisation; radio receivers; ultra wideband communication; wireless channels; ℓ1 norm minimization; (AcR); CS algorithms; RAKE receiver; UWB channels; autocorrelation receiver; channel estimation; computer simulation; correlation coefficients; high complexity; impulse radio communications; modified compressive sensing based receiver; received signal; stringent time acquisition; symbol rate sampling; wideband analog delay element; Bit error rate; Channel estimation; Delays; Eigenvalues and eigenfunctions; Fading; Multipath channels; Receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultra-Wideband (ICUWB), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
ISSN :
2162-6588
Type :
conf
DOI :
10.1109/ICUWB.2013.6663865
Filename :
6663865
Link To Document :
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