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基于最小二乘拟合的机动目标运动补偿算法
Motion-correction Algorithm for Maneuvering Target Based on Least-squares Fitting
【摘要】 在高频雷达探测中,目标机动通常会造成多普勒谱的展宽,严重影响了目标的探测与跟踪。针对该现象,文中推导了机动目标瞬时径向速度表达式,发现机动目标回波相位可以用时间的多项式描述,进而提出了基于最小二乘拟合的运动补偿算法。仿真处理和实验数据均验证了理论分析的结果,又表明在变速、转弯等机动情况下,该运动补偿算法都能有效地改善目标谱质量,提高雷达目标探测与跟踪性能。
【Abstract】 Target maneuver,such as its acceleration or turning,always produces significant spreading of the spectrum of the HF radar echoes.That degrades the detection performance and parameter estimation of targets.Such spectrum spreading originates from high-order time terms of the echo phase.By least-squares fitting,these terms can be estimated.Then the estimations could be used to correct the Doppler spectra to restore the targets parameters.Examples of simulation and experimental data demonstrate this algorithm can achieve better target spectra and higher probability of detection.
【Key words】 maneuvering target detection; motion-correction algorithm; least square fitting;
- 【文献出处】 现代雷达 ,Modern Radar , 编辑部邮箱 ,2009年01期
- 【分类号】TN957.51
- 【被引频次】7
- 【下载频次】228