Compressed Sampling based on Circulant Matrix for Analog Signals

Yanwei Xiong; Jianhua Zhang; Ping Zhang

8th International Conference on Communications and Networking in China

Research Article

Compressed Sampling based on Circulant Matrix for Analog Signals

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/ChinaCom.2013.6694673,
    author={Yanwei Xiong and Jianhua Zhang and Ping Zhang},
    title={Compressed Sampling based on Circulant Matrix for Analog Signals},
    proceedings={8th International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2013},
    month={11},
    keywords={compressed sensing (cs) analog-to-information conversion (aic) circulant matrix},
    doi={10.1109/ChinaCom.2013.6694673}
}

Yanwei Xiong
Jianhua Zhang
Ping Zhang
Year: 2013
Compressed Sampling based on Circulant Matrix for Analog Signals
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694673

Yanwei Xiong^,*, Jianhua Zhang¹, Ping Zhang¹

1: Beijing University of Posts and Telecommunications

*Contact email: cherryxiong86@gmail.com

Abstract

In order to implement the high-speed data transmission in wireless communication system, the signal bandwidth becomes wider. However this results in high Nyquist sampling rate which will beyond the capacity of the hardware device. The analog-to-information conversion (AIC) based on compressed sensing (CS) is proposed to sample signals at a sub-Nyquist rate. The circulant matrix (CM) instead of the random Bernoulli matrix is used as the measurement matrix in this paper. Compared with the structure based on random Bernoulli matrix, this CM based architecture, in a certain extent, can reduce system complexity. Simulations which show the efficiency of the proposed approach are also presented.

Keywords: compressed sensing (cs) analog-to-information conversion (aic) circulant matrix

Published: 2013-11-14
Publisher: IEEE

: http://dx.doi.org/10.1109/ChinaCom.2013.6694673