A Hierarchical Compensation Method for Near Space Target Detection

Kaina Zhang, Junzhou Zhang, Shan Wu, Chenqiang Zhao, Ge Yang
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引用次数: 0

Abstract

Near space targets have the characteristics of high velocity and high acceleration. High velocity will lead to the velocity ambiguity and range migration (RM). High acceleration will lead to the Doppler frequency migration (DFM) and RM. When the velocity ambiguity number changes many times during coherent integration, the coherent integration gain decreases. In this paper, we propose a hierarchical compensation method. The hierarchical compensation method compensates for the velocity ambiguity number with multiple variations through two-stage ambiguity velocity compensation and frequency domain compensation. Then, the second-order Keystone transform (SKT) compensates for RM and the fractional Fourier transform (FRFT) compensates for DFM. Finally, the simulation experiments prove that the proposed method is effective.
一种近空间目标检测的分层补偿方法
近空目标具有高速、高加速度的特点。高速会导致速度模糊和距离偏移(RM)。高加速度会导致多普勒频率偏移(DFM)和RM。相干积分过程中,当速度模糊数多次变化时,相干积分增益减小。本文提出了一种分层补偿方法。分层补偿方法通过两级模糊度速度补偿和频域补偿对速度模糊度数的多重变化进行补偿。然后,二阶梯形变换(SKT)补偿RM,分数阶傅立叶变换(FRFT)补偿DFM。最后,通过仿真实验验证了该方法的有效性。
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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