NDLI: Blind multi-path elimination by sparse inversion in Through-The-Wall-Imaging

Content Provider	IEEE Xplore Digital Library
Author	Mansour, H. Dehong Liu
Copyright Year	2013
Description	Author affiliation: Mitsubishi Electr. Res. Labs., Cambridge, MA, USA (Mansour, H.; Dehong Liu)
Abstract	In this paper, we propose a multi-path elimination by sparse inversion (MESI) algorithm that removes the clutter induced by internal wall reflections in a Through-the-Wall-Imaging (TWI) system without prior knowledge of the scene geometry. Our approach iteratively recovers the time-domain primary impulse responses of targets behind the front wall then finds a delay convolution operator that best maps the primary impulse response of each target to the multi-path reflections available in the received signal. Since the number of targets and the number of reflecting surfaces is typically much smaller than the downrange extent of the scene, we employ $ℓ_{1}$ regularized sparse recovery in both the target detection and reflection-operator estimation. Moreover, we specify extensions of the MESI algorithm that allow for the detection of targets directly in the image domain even from randomly subsampled arrays and compensate for the distortion of the source waveform due to the front wall propagation. We present numerical simulations that demonstrate the effectiveness of MESI in locating targets inside a room with unknown dimensions or wall parameters and highlight the robustness of our scheme to severe measurement noise.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	256
Ending Page	259
File Size	424893
Page Count	4
File Format	PDF
e-ISBN	9781467331463
DOI	10.1109/CAMSAP.2013.6714056
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	compressed sensing Noise Receivers Radar imaging sparse recovery Delays Through-the-wall-imaging Time-domain analysis multi-path elimination Antenna arrays blind deconvolution
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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