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      An Anti-FOD Method Based on CA-CM-CFAR for MMW Radar in Complex Clutter Background

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          Abstract

          Traditional constant false alarm rate (CFAR) methods have shown their potential for foreign object debris (FOD) indication. However, the performance of these methods would deteriorate under the complex clutter background in airport scenes. This paper presents a threshold-improved approach based on the cell-averaging clutter-map (CA-CM-) CFAR and tests it on a millimeter-wave (MMW) radar system. Clutter cases are first classified with variability indexes (VIs). In homogeneous background, the threshold is calculated by the student-t-distributed test statistic; under the discontinuous clutter conditions, the threshold is modified according to current VI conditions, in order to address the performance decrease caused by extended clutter edges. Experimental results verify that the chosen targets can be indicated by the t-distributed threshold in homogeneous background. Moreover, effective detection of the obscured targets could also be achieved with significant detectability improvement at extended clutter edges.

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          Most cited references 40

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          Intelligent CFAR processor based on data variability

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            Clutter-map CFAR detection for range-spread targets in non-Gaussian clutter. I. System design

             E. Conte,  M. Lops (1997)
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              Clutter Map CFAR Analysis

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                14 March 2020
                March 2020
                : 20
                : 6
                Affiliations
                [1 ]Graduate School, National University of Defense Technology, Changsha 410073, China; yangxiaoqinudt@ 123456sina.com
                [2 ]College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China; sujianwei99@ 123456hotmail.com (J.S.); zhangxinyu9011@ 123456163.com (X.Z.); jwd2232@ 123456vip.163.com (W.J.)
                Author notes
                [* ]Correspondence: huokai2001@ 123456163.com ; Tel.: +86-138-7487-5449
                Article
                sensors-20-01635
                10.3390/s20061635
                7146223
                32183386
                © 2020 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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