Modified linear predictive coding approach for moving target tracking by Doppler radar

Yipeng Ding; Xiaoyi Lin; Ke-Hui Sun; Xue-Mei Xu; Xi-Yao Liu

doi:10.1117/1.JRS.10.035020

8 September 2016 Modified linear predictive coding approach for moving target tracking by Doppler radar

Yipeng Ding, Xiaoyi Lin, Ke-Hui Sun, Xue-Mei Xu, Xi-Yao Liu

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 3, 035020 (September 2016). https://doi.org/10.1117/1.JRS.10.035020

Abstract

Doppler radar is a cost-effective tool for moving target tracking, which can support a large range of civilian and military applications. A modified linear predictive coding (LPC) approach is proposed to increase the target localization accuracy of the Doppler radar. Based on the time-frequency analysis of the received echo, the proposed approach first real-time estimates the noise statistical parameters and constructs an adaptive filter to intelligently suppress the noise interference. Then, a linear predictive model is applied to extend the available data, which can help improve the resolution of the target localization result. Compared with the traditional LPC method, which empirically decides the extension data length, the proposed approach develops an error array to evaluate the prediction accuracy and thus, adjust the optimum extension data length intelligently. Finally, the prediction error array is superimposed with the predictor output to correct the prediction error. A series of experiments are conducted to illustrate the validity and performance of the proposed techniques.

Citation Download Citation

Yipeng Ding, Xiaoyi Lin, Ke-Hui Sun, Xue-Mei Xu, and Xi-Yao Liu "Modified linear predictive coding approach for moving target tracking by Doppler radar," Journal of Applied Remote Sensing 10(3), 035020 (8 September 2016). https://doi.org/10.1117/1.JRS.10.035020

Published: 8 September 2016

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