Optimal Steady-State Range Prediction Filter for Tracking with LFM Waveforms
Department of Intelligent Systems Design Engineering, Toyama Prefectural University, Imizu, Toyama 939-0398, Japan
Received: 31 October 2017 / Revised: 13 December 2017 / Accepted: 20 December 2017 / Published: 23 December 2017
This communication proposes a gain design method of an
filter with linear frequency-modulated (LFM) waveforms to achieve optimal range prediction (tracking) of maneuvering targets in steady-state. First, a steady-state root-mean-square (RMS) prediction error, called an RMS-index, is analytically derived for a constant-acceleration target. Next, a design method of the optimal gains that minimizes the derived RMS-index is proposed. Numerical analyses demonstrate the effectiveness of the proposed method, as well as producing a performance improvement over the conventional Kalman filter-based design method. Moreover, the theoretical relationship between range tracking performance and a coefficient for range-Doppler coupling of LFM waveforms is clarified. Numerical simulations using the proposed method demonstrate LFM radar tracking of maneuvering targets and prove the method’s effectiveness.
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Saho, K. Optimal Steady-State Range Prediction Filter for Tracking with LFM Waveforms. Appl. Sci. 2018, 8, 17.
Saho K. Optimal Steady-State Range Prediction Filter for Tracking with LFM Waveforms. Applied Sciences. 2018; 8(1):17.
Saho, Kenshi. 2018. "Optimal Steady-State Range Prediction Filter for Tracking with LFM Waveforms." Appl. Sci. 8, no. 1: 17.
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