DocumentCode
3406072
Title
Real-time measurement in compressive radar imaging based on AIC
Author
Xiao-Chun, Xie
Author_Institution
Sch. of Phys. & Electron. Inf., Gannan Normal Univ., Ganzhou, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
2113
Lastpage
2116
Abstract
Compressive sensing techniques have been shown to reduce the number of data samples beyond the Nyquist theorem, achieving perfect reconstruction of the original signal. In this paper, we implement a real-time compressive measurement operator, based on Analog-to-Information Converter (AIC). The simulation results conform that the measurement operator works well and has as well performance as random matrix.
Keywords
analogue-digital conversion; data compression; image reconstruction; radar imaging; AIC; Nyquist theorem; analog-to-information converter; compressive radar imaging; compressive sensing techniques; perfect reconstruction; random matrix; real time compressive measurement operator; Compressed sensing; Image reconstruction; Low pass filters; Radar imaging; Radar measurements; Real time systems; Analog-to-Information Converter (AIC); compression sensing; measurement operator; radar imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5655936
Filename
5655936
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