NDLI: Quadrature compressive sampling of multiband radar signals at sub-Landau rate

Content Provider	IEEE Xplore Digital Library
Author	Shengyao Chen Feng Xi Zhong Liu Bocheng Bao
Copyright Year	2015
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Changzhou Univ., Changzhou, China (Bocheng Bao) \|\| Dept. of Electron. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China (Shengyao Chen; Feng Xi; Zhong Liu)
Abstract	Sampling multiband radar signals is an essential issue of multiband/multifunction radar. This paper proposes a multiband quadrature compressive sampling (MQCS) system to perform the sampling at sub-Landau rate. The MQCS system randomly projects the multiband signal into a compressive multiband one by modulating each subband signal with a low-pass signal and then samples the compressive multiband signal at Landau-rate with output of compressive measurements. The compressive inphase and quadrature (I/Q) components of each subband are extracted from the compressive measurements respectively and are exploited to recover the baseband I/Q components. As effective bandwidth of the compressive multiband signal is much less than that of the received multiband one, the sampling rate is much less than Landau rate of the received signal. Simulation results validate that the proposed MQCS system can effectively acquire and reconstruct the baseband I/Q components of the multiband signals.
Starting Page	234
Ending Page	238
File Size	123040
Page Count	5
File Format	PDF
ISSN	21653577
e-ISBN	9781479980581
DOI	10.1109/ICDSP.2015.7251866
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar Bandwidth Baseband Demodulation Dictionaries Band-pass filters Noise analog-to-information conversion multiband radar signal compressive sampling quadrature sampling
Content Type	Text
Resource Type	Article

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