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Low-Rank Matrix Recovery Approach for Clutter Rejection in Real-Time IR-UWB Radar-Based Moving Target Detection

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      Abstract

      The detection of a moving target using an IR-UWB Radar involves the core task of separating the waves reflected by the static background and by the moving target. This paper investigates the capacity of the low-rank and sparse matrix decomposition approach to separate the background and the foreground in the trend of UWB Radar-based moving target detection. Robust PCA models are criticized for being batched-data-oriented, which makes them inconvenient in realistic environments where frames need to be processed as they are recorded in real time. In this paper, a novel method based on overlapping-windows processing is proposed to cope with online processing. The method consists of processing a small batch of frames which will be continually updated without changing its size as new frames are captured. We prove that RPCA (via its Inexact Augmented Lagrange Multiplier (IALM) model) can successfully separate the two subspaces, which enhances the accuracy of target detection. The overlapping-windows processing method converges on the optimal solution with its batch counterpart (i.e., processing batched data with RPCA), and both methods prove the robustness and efficiency of the RPCA over the classic PCA and the commonly used exponential averaging method.

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      Robust principal component analysis?

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        ROBPCA: A New Approach to Robust Principal Component Analysis

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          Ground Penetrating Radar

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            Author and article information

            Affiliations
            [1 ]Department of Electronics and Computer Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea; donatsabu6@ 123456gmail.com (D.S.); beyondi@ 123456jnu.ac.kr (J.Y.K.)
            [2 ]MOMED Solution, Gwangju 61008, Korea; buingocnam87@ 123456gmail.com (N.N.B.); momsolution@ 123456naver.com (K.S.S.); nayak3@ 123456naver.com (G.G.K.)
            Author notes
            [* ]Correspondence: syna@ 123456jnu.ac.kr ; Tel.: +82-10-9821-1110
            Contributors
            Role: Academic Editor
            Journal
            Sensors (Basel)
            Sensors (Basel)
            sensors
            Sensors (Basel, Switzerland)
            MDPI
            1424-8220
            01 September 2016
            September 2016
            : 16
            : 9
            27598159
            5038687
            10.3390/s16091409
            sensors-16-01409
            (Academic Editor)
            © 2016 by the authors; licensee MDPI, Basel, Switzerland.

            This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

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