High-Speed Target Velocity Compensation and Detection/Tracking Algorithm to Improve Detection/Tracking Accuracy for Active Protection System Radar

Kyung A Roh, Chang Hun Ha
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引用次数: 0

Abstract

The Active Protection System is a defense system that protects armored vehicles, such as tanks, from attacks by high-velocity projectiles such as anti-tank missiles, by actively neutralizing the projectile before it strikes the vehicle. Radars are essential for detecting and tracking threats approaching tanks at high speeds, and their tracking accuracy must be a few centimeters to precisely strike the target. However, when high-speed targets are tracked, range walk occurs owing to the target speed, resulting in a range tracking error proportional to the speed. In this study, we investigated a real-time speed compensation method by adjusting the NCO frequency in the signal pre-processing stage to secure the range tracking accuracy of radars suitable for active defense devices. To verify the performance of the algorithm, target signal simulation and signal processing were performed using MATLAB M&S. The final tracking performance was analyzed using CFAR and clustering for target detection and a Kalman filter-based tracking algorithm.
提高主动保护系统雷达检测跟踪精度的高速目标速度补偿与检测/跟踪算法
主动防护系统是在反坦克导弹等高速弹丸袭击装甲车辆之前,通过主动中和弹丸来保护坦克等装甲车辆的防御系统。雷达对于探测和跟踪高速接近坦克的威胁至关重要,其跟踪精度必须达到几厘米才能精确打击目标。然而,在对高速目标进行跟踪时,由于目标速度的影响,会产生距离行走,导致距离跟踪误差与速度成正比。在本研究中,我们研究了一种通过在信号预处理阶段调整NCO频率来实时补偿速度的方法,以保证适用于主动防御装置的雷达的距离跟踪精度。为了验证算法的性能,利用MATLAB M&S对目标信号进行仿真和处理。最后利用CFAR和聚类算法对目标检测和基于卡尔曼滤波的跟踪算法进行了跟踪性能分析。
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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