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      Adaptive Resource Allocation Scheme for Micromotion Feature Extraction Based on Track-Before-Detect

      1 , 2 , 2 , 3 , 3 , 4 , 4
      Journal of Sensors
      Hindawi Limited

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          Abstract

          The micromotion feature extraction method based on track-before-detect (TBD) can save the radar resource and improve the real-time performance of micromotion feature extraction by implementing target detecting, tracking, and micromotion feature extraction simultaneously. Usually, multitargets will exist in different areas, and the limited radar resources should be allocated for different areas to achieve the maximal performance of radar. For single-beam phased array radar, an adaptive resource allocation optimization model is established according to the processing steps of the micromotion feature extraction method based on TBD, and an adaptive resource allocation strategy is proposed. With the method, the radar efficiency can be significantly improved. The effectiveness of the proposed method is demonstrated by simulations.

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          Most cited references15

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          Overview of NSGA-II for Optimizing Machining Process Parameters

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            Simultaneous Multibeam Resource Allocation Scheme for Multiple Target Tracking

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              Spatial Multi-Objective Optimization Approach for Land Use Allocation Using NSGA-II

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                Author and article information

                Journal
                Journal of Sensors
                Journal of Sensors
                Hindawi Limited
                1687-725X
                1687-7268
                2018
                2018
                : 2018
                : 1-13
                Affiliations
                [1 ]College of Information Engineering, Engineering University of CAPF, Xi’an 710086, China
                [2 ]Institute of Information and Navigation, Air Force Engineering University, Xi’an 710077, China
                [3 ]Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai 200433, China
                [4 ]Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583
                Article
                10.1155/2018/5301253
                e183f403-c9fe-4292-bcca-ddcbf84f7254
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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