Ambiguity Resolution for Ground-based Pulse-Doppler Radars Using Multiple Medium PRF

Khue Nguyen Dinh, Loi Nguyen Van, Thanh Nguyen Nhu, Hop Tran Vu, Viet Nguyen Hong, Duc Le Trung
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Abstract

In this paper, we propose an adaptive method to resolve ambiguities and a ghost target removal process to extract targets detected by a ground-based pulse-Doppler radar using medium pulse repetition frequency waveforms. The ambiguity resolution method is an adaptive implementation of the coincidence algorithm, which is implemented on a two-dimensional (2D) range-velocity matrix to resolve range and velocity ambiguities simultaneously, with a proposed clustering filter to enhance the anti-error ability of the system. Here we consider the scenario of multiple target environments. The ghost target removal process, which is based on the power after Doppler processing, is proposed to mitigate ghosting detections to enhance the performance of ground-based radars using a short PRF schedule in multiple target environments. Simulation results on a ground-based pulsed Doppler radar model will be presented to show the effectiveness of the proposed approach.
基于多介质PRF的陆基脉冲多普勒雷达模糊度分辨率研究
本文提出了一种自适应模糊消除方法和一种幽灵目标去除过程,用于提取地基脉冲多普勒雷达检测到的中脉冲重复频率波形目标。模糊度解决方法是重合算法的自适应实现,该方法在二维距离-速度矩阵上实现距离和速度模糊度的同时解决,并提出了一种聚类滤波器来增强系统的抗误差能力。这里我们考虑多目标环境的场景。提出了一种基于多普勒处理后功率的鬼影目标去除方法,以减轻鬼影检测,提高地基雷达在多目标环境下的性能。最后给出了基于地面脉冲多普勒雷达模型的仿真结果,以验证该方法的有效性。
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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