DocumentCode :
717529
Title :
A Multi-Bit Pseudo-Random Measurement Matrix Construction Method Based on Discrete Chaotic Sequences in an MWC Under-Sampling System
Author :
Xinyu Wang ; Min Jia ; Qing Guo ; Xuemai Gu
Author_Institution :
Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
fYear :
2015
fDate :
11-14 May 2015
Firstpage :
1
Lastpage :
5
Abstract :
Modulated wideband converter system offers an under- sampling method aiming at the issue that sparse wideband signals require high sampling rates. In this paper, we propose a multi-bit pseudo-random measurement matrices construction method based on discrete chaotic sequences since Bernoulli random measurement matrix currently used in an MWC system is difficult to be implemented by hardware. Simulation results show that an MWC system can still perform sub-Nyquist sampling and achieve exact recovery with overwhelming probability while adopting the proposed pseudo-random sequences as measurement matrices. Thus our method is able to save system resources greatly on condition that the reconstruction performance hardly changes compared with Bernoulli matrix.
Keywords :
compressed sensing; probability; random sequences; signal reconstruction; signal sampling; sparse matrices; MWC undersampling system; discrete chaotic sequence; multibit pseudorandom measurement matrix construction method; overwhelming sampling; probability; signal reconstruction; sparse wideband signal sampling; Chaos; Hardware; Logistics; Mathematical model; Matrix converters; Sparse matrices; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location :
Glasgow
Type :
conf
DOI :
10.1109/VTCSpring.2015.7145624
Filename :
7145624
Link To Document :
بازگشت