Modified linear predictive coding approach for moving target tracking by Doppler radar
Modified linear predictive coding approach for moving target tracking by Doppler radar
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DOI：
10.1117/1.jrs.10.035020
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发表时间：
2016-07
影响因子：
1.7
通讯作者：
Yipeng Ding;Xiaoyi Lin;K. Sun;Xuemei Xu;Xiyao Liu
中科院分区：
文献类型：
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作者：
Yipeng Ding;Xiaoyi Lin;K. Sun;Xuemei Xu;Xiyao Liu
摘要。多普勒雷达是一种具有成本效益的移动目标跟踪工具，可以支持大范围的民用和军事应用。为了提高多普勒雷达的目标定位精度，提出了一种改进的线性预测编码（LPC）方法。该方法在对接收到的回波进行时频分析的基础上，首先实时估计噪声统计参数，并构造自适应滤波器对噪声干扰进行智能抑制。然后，利用线性预测模型对现有数据进行扩展，提高目标定位结果的分辨率。与传统LPC方法经验确定可扩展数据长度相比，该方法通过误差数组来评估预测精度，从而智能地调整最佳可扩展数据长度。最后，将预测误差数组与预测器输出叠加，对预测误差进行校正。通过一系列实验验证了所提技术的有效性和性能。
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.