NDLI: Multi-channels wideband digital reconnaissance receiver based on compressed sensing

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Multi-channels wideband digital reconnaissance receiver based on compressed sensing

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Multi-channels wideband digital reconnaissance receiver based on compressed sensing

Content Provider	IET Digital Library
Author	Nan, Yu hui, Qi Xiao lin, Qiao Xiao
Abstract	In order to meet the bandwidth need of modern wideband digital reconnaissance receiver, an implementation based on compressed sensing is proposed. The compressed sensing method is directly used to sample and reconstruct multi-band RF signal in this receiver. The original signal is mixed with Bernoulli random signal, and then filtered by low-pass filter. As completing the multiple narrow-band signals recovery within broadband range, the sampling signal is reconstructed in the digital domain. In this study, a novel reconstruction algorithm is proposed, which is adaptive conjugate gradient pursuit multiple measurement vectors (ACGPMMV), to overcome the drawback of orthogonal matching pursuit multiple measurement vectors (OMPMMV). Meanwhile, how to reduce the channel number of system required is also analysed, which will be reduce hardware costs. The shortcoming of limitation of sampling chip's analogue bandwidth in the parallel alternating sampling system is overcame, and the requirement of receiver bandwidth is achieved by using the lower rate sampling. In this study, the study is carried out by means of numerical simulations of multi-signals in the different system model. The conclusions illuminate the algorithm can get well-signal reconstruction results under the conditions of less channel and low sampling rate, and well-noise stability.
Starting Page	731
Ending Page	742
Page Count	12
ISSN	17519675
Volume Number	7
e-ISSN	17519683
Issue Number	Issue 8, Oct (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/7/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2012.0086
Journal	IET Signal Processing
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ACGPMMV Bernoulli Random Signal Broadband Range Channel Number Reduction Compressed Sensing Compressed Sensing Method Digital Radar Reconnaissance Receiver Filtering Method in Signal Processing Hardware Cost Reduction Low-pass Filter Military Radar Military System Multiband RF Signal Reconstruction Multiband RF Signal Sampling Multichannel Wideband Digital Reconnaissance Receiver Multiple-narrow-band Signal Recovery Numerical Simulation OMPMMV Parallel Alternating Sampling System Reconstruction Algorithm Sampling Chip Analogue Bandwidth Signal Reconstruction Signal Sampling Well-noise Stability
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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