Enhanced maneuvering targets detection via polynomial phase modeling in over-the-horizon radars

Kun Lu, Xingzhao Liu
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引用次数: 2

Abstract

This paper describes a processing algorithm based on polynomial phase modeling scheme that increases visibility of maneuvering targets in HF over-the-horizon radar (OTHR). For the presence of the echo backscattered by the target that has significantly varying radial velocity within a coherent integration time (CIT), it is difficult for traditional coherent processing to centralize energy and peak in Doppler spectrum. Due to the polynomial property of the phase of maneuvering target radar echo, a polynomial phase signal (PPS) is introduced to model the complex Doppler variation of maneuvering targets. As an effective method to estimate the parameters of PPS, a high-order ambiguity function (HAF) based algorithm is applied. And a compensation process follows to eliminate the coherent processing loss (CIL) caused by irregular motion of targets. The experimental results are given to illustrate the validity and efficiency of the proposed method.
基于多项式相位建模的超视距雷达机动目标检测
提出了一种基于多项式相位建模的高频超视距雷达机动目标可见性处理算法。对于在相干积分时间(CIT)内径向速度变化较大的目标产生的回波后向散射,传统的相干处理方法难以实现多普勒频谱的能量集中和峰值集中。利用机动目标雷达回波相位的多项式特性,引入多项式相位信号(PPS)来模拟机动目标的复杂多普勒变化。作为一种有效的PPS参数估计方法,采用了基于高阶模糊函数(HAF)的算法。为了消除目标的不规则运动引起的相干处理损失,进行了相应的补偿处理。实验结果表明了该方法的有效性和有效性。
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