A portable real-time digital noise radar system for through-the-wall imaging

Pin Heng Chen; Mahesh C. Shastry; Chieh Ping Lai; Ram M. Narayanan

doi:10.1109/TGRS.2012.2188411

A portable real-time digital noise radar system for through-the-wall imaging

Pin Heng Chen, Mahesh C. Shastry, Chieh Ping Lai, Ram M. Narayanan

Research output: Contribution to journal › Article › peer-review

62 Scopus citations

Abstract

We present the design and implementation of a portable, digital, real-time random noise radar system operating in the ultrahigh frequency range for through-the-wall detection and imaging. Noise radar technology is combined with modern digital signal processing approaches to architect a system to covertly perform range imaging of obscured stationary and moving targets as well as to detect the presence of humans via micro-Doppler detection combined with empirical mode decomposition. We model the propagation and sampling nonidealities in the system and propose techniques to overcome the effect of these nonidealities. Experimental results demonstrate the system's capability to image target scenes and characterize human activity from different stand-off distances.

Original language	English (US)
Article number	6178010
Pages (from-to)	4123-4134
Number of pages	12
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	50
Issue number	10 PART2
DOIs	https://doi.org/10.1109/TGRS.2012.2188411
State	Published - 2012

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Earth and Planetary Sciences(all)

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10.1109/TGRS.2012.2188411

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title = "A portable real-time digital noise radar system for through-the-wall imaging",

abstract = "We present the design and implementation of a portable, digital, real-time random noise radar system operating in the ultrahigh frequency range for through-the-wall detection and imaging. Noise radar technology is combined with modern digital signal processing approaches to architect a system to covertly perform range imaging of obscured stationary and moving targets as well as to detect the presence of humans via micro-Doppler detection combined with empirical mode decomposition. We model the propagation and sampling nonidealities in the system and propose techniques to overcome the effect of these nonidealities. Experimental results demonstrate the system's capability to image target scenes and characterize human activity from different stand-off distances.",

author = "Chen, {Pin Heng} and Shastry, {Mahesh C.} and Lai, {Chieh Ping} and Narayanan, {Ram M.}",

note = "Funding Information: Manuscript received June 9, 2011; revised November 14, 2011 and February 2, 2012; accepted February 5, 2012. Date of publication April 5, 2012; date of current version September 21, 2012. This work was supported in part by the Air Force Office of Scientific Research (AFOSR)/Air Force Research Laboratories (AFRL) through Intelligent Automation, Inc. under contract FA9550-07-C-0066.",

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N1 - Funding Information: Manuscript received June 9, 2011; revised November 14, 2011 and February 2, 2012; accepted February 5, 2012. Date of publication April 5, 2012; date of current version September 21, 2012. This work was supported in part by the Air Force Office of Scientific Research (AFOSR)/Air Force Research Laboratories (AFRL) through Intelligent Automation, Inc. under contract FA9550-07-C-0066.

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AB - We present the design and implementation of a portable, digital, real-time random noise radar system operating in the ultrahigh frequency range for through-the-wall detection and imaging. Noise radar technology is combined with modern digital signal processing approaches to architect a system to covertly perform range imaging of obscured stationary and moving targets as well as to detect the presence of humans via micro-Doppler detection combined with empirical mode decomposition. We model the propagation and sampling nonidealities in the system and propose techniques to overcome the effect of these nonidealities. Experimental results demonstrate the system's capability to image target scenes and characterize human activity from different stand-off distances.

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A portable real-time digital noise radar system for through-the-wall imaging

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