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Journal of Applied Remote Sensing

Modified linear predictive coding approach for moving target tracking by Doppler radar
Author(s): Yipeng Ding; Xiaoyi Lin; Ke-Hui Sun; Xue-Mei Xu; Xi-Yao Liu
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Paper 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.

Paper Details

Date Published: 8 September 2016
PDF: 16 pages
J. Appl. Rem. Sens. 10(3) 035020 doi: 10.1117/1.JRS.10.035020
Published in: Journal of Applied Remote Sensing Volume 10, Issue 3
Show Author Affiliations
Yipeng Ding, Central South Univ. (China)
Xiaoyi Lin, Central South Univ. (China)
Ke-Hui Sun, Central South Univ. (China)
Xue-Mei Xu, Central South Univ. (China)
Xi-Yao Liu, Central South Univ. (China)

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