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      A FOD Detection Approach on Millimeter-Wave Radar Sensors Based on Optimal VMD and SVDD

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          Abstract

          Foreign object debris (FOD) on airport runways can cause serious accidents and huge economic losses. FOD detection systems based on millimeter-wave (MMW) radar sensors have the advantages of higher range resolution and lower power consumption. However, it is difficult for traditional FOD detection methods to detect and distinguish weak signals of targets from strong ground clutter. To solve this problem, this paper proposes a new FOD detection approach based on optimized variational mode decomposition (VMD) and support vector data description (SVDD). This approach utilizes SVDD as a classifier to distinguish FOD signals from clutter signals. More importantly, the VMD optimized by whale optimization algorithm (WOA) is used to improve the accuracy and stability of the classifier. The results from both the simulation and field case show the excellent FOD detection performance of the proposed VMD-SVDD method.

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          Most cited references30

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          Variational Mode Decomposition

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            One or Two Frequencies? The Empirical Mode Decomposition Answers

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              A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                02 February 2021
                February 2021
                : 21
                : 3
                : 997
                Affiliations
                School of Electrical Engineering, Sichuan University, Chengdu 610000, China; zhongjun55@ 123456163.com (J.Z.); GX199666@ 123456163.com (X.G.); liuxing4@ 123456126.com (X.L.); zengqi1982@ 123456163.com (Q.Z.)
                Author notes
                [* ]Correspondence: shuqin@ 123456scu.edu.cn ; Tel.: +86-186-0800-6161
                Author information
                https://orcid.org/0000-0003-0814-8192
                Article
                sensors-21-00997
                10.3390/s21030997
                7867293
                33540656
                d0ba0a03-07cb-407f-b278-fccf334a7742
                © 2021 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/).

                History
                : 10 December 2020
                : 29 January 2021
                Categories
                Article

                Biomedical engineering
                fod detection,mmw radar sensor system,svdd classifier,the optimal vmd
                Biomedical engineering
                fod detection, mmw radar sensor system, svdd classifier, the optimal vmd

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