高频雷达机动目标的最小二乘算法

2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC) Pub Date : 2009-12-07 DOI:10.1109/ICICIC.2009.22

Jun Tang, Chengyu Hou, Yiying Shen

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引用次数: 0

摘要

本文研究了高频雷达回波频谱分布明显的机动目标(加速或转向)的运动校正算法。这种影响目标检测性能和参数估计的扩散源于回波相位的高阶时间项。利用最小二乘法对这些项进行估计，以校正多普勒谱，恢复目标的峰值。仿真和实验数据表明，该技术有助于获得更好的目标光谱和更高的检测概率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Least-Squares Algorithm for Maneuvering Targets in HF Radar

In this paper, a motion-correction algorithm for maneuvering targets (acceleration or turning) whose spectra of the HF radar echoes are significant spread is addressed. Such spreading which degrades the detection performance and parameters estimation of targets originates from the high-order time terms of the echoes' phase. The least-squares method has been used to estimate these terms to correct the Doppler spectra for restoring the targets' peaks. Simulation and experimental data results show that such technique is helpful to achieve the better targets' spectra and the higher probability of detection.

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2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)

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