Title :
Real-time measurement in compressive radar imaging based on AIC
Author_Institution :
Sch. of Phys. & Electron. Inf., Gannan Normal Univ., Ganzhou, China
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;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655936