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

机译:使用LFM波形和量程比测量的跟踪滤波器稳态性能分析

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摘要

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.
机译:从理论上分析了运动对象跟踪滤波器的稳态性能,假设同时测量范围和范围速率(RRM系统),并使用线性调频(LFM)波形(RRM-LFM滤波器)。理论上,为RRM-LFM滤波器推导了一种有效的分析稳态性能指标,称为RMS指标,以阐明稳态范围预测误差。使用得出的RMS指数,分析了RRM-LFM滤波器的最佳性能。对于RRM跟踪系统,已阐明了由于使用LFM波形而导致的性能差异。理论性能分析证明,与传统的仅测距LFM跟踪滤波器相比,测得的测距率显着提高了跟踪精度。此外,阐明了测量精度,目标操纵程度和稳态范围预测误差之间的定量关系,以验证RRM-LFM滤波器的有效性。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2018年第16期|9487581.1-9487581.10|共10页
  • 作者

    Saho Kenshi;

  • 作者单位

    Toyama Prefectural Univ Dept Intelligent Robot Imizu Toyama 9390398 Japan;

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  • 原文格式 PDF
  • 正文语种 eng
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