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      Steady-State Performance Analysis of Tracking Filter Using LFM Waveforms and Range-Rate Measurement

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      Mathematical Problems in Engineering
      Hindawi Limited

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          Abstract

          The steady-state performance of a moving-object tracking filter is theoretically analyzed, assuming the simultaneous measurement of the range and range-rate (RRM system), and the use of linear frequency modulated (LFM) waveforms (RRM-LFM filter). An efficient analytical steady-state performance index, called an RMS index, is derived for the RRM-LFM filter to clarify the steady-state range prediction errors, theoretically. Using the derived RMS index, the optimal performance of the RRM-LFM filter is analyzed. The performance variation due to the use of LFM waveforms is clarified for the RRM tracking system. The theoretical performance analysis verifies that the measured range-rate significantly improves the tracking accuracy, compared to the conventional range-only measuring LFM tracking filter. Furthermore, the quantitative relationships among the measurement accuracy, degree of target maneuvering, and steady-state range prediction errors are clarified to validate the effectiveness of the RRM-LFM filter.

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          Maritime Surveillance Using Multiple High-Frequency Surface-Wave Radars

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            Effects of Range-Doppler Coupling on Chirp Radar Tracking Accuracy

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              Experimental Evaluation of the Range–Doppler Coupling on HF Surface Wave Radars

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                Author and article information

                Journal
                Mathematical Problems in Engineering
                Mathematical Problems in Engineering
                Hindawi Limited
                1024-123X
                1563-5147
                December 04 2018
                December 04 2018
                : 2018
                : 1-10
                Affiliations
                [1 ]Department of Intelligent Robotics, Toyama Prefectural University, Imizu 939-0398, Japan
                Article
                10.1155/2018/9487581
                6f71ac14-3488-4332-b09f-e8320951f045
                © 2018

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

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