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STAP based Ground Moving Target Detectability in the Airborne/Spaceborne Array Radar

机译:机载/星载阵列雷达中基于STAP的地面移动目标可检测性

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A space-time adaptive processing (STAP) can be effective in detecting the ground moving targets from the airborne/spaceborne moving platform in the severe ground clutter and jammer environments. In this paper, the characteristics of target, ground clutter and jammer signal are analyzed and designed the adaptively weighted clutter notch filter in two dimensional spatial and temporal azimuth angle-Doppler domains. The simulation is performed for ground moving target detection by rejecting both clutter and jammer simulateously through the STAP processing. The probability of target detection is investigated depending on the SNR and the minimum detectable velocity (MDV) in the given false alarm rate. The simulation results show that the MDV can be ideally achieved up to 2m/s ~ 3m/s at the 90 % of detecton probability in the given false alarm rate of 10~(-3) and 10~(-6). This technique may be applied for the surveillance and traffic monitoring of moving vehicle on the road.
机译:时空自适应处理(STAP)在严峻的地面杂波和干扰环境中可以有效地检测来自机载/星载移动平台的地面移动目标。本文分析了目标,地物杂波和干扰信号的特性,设计了二维时空方位角多普勒域中的自适应加权杂波陷波滤波器。通过STAP处理模拟地排除杂波和干扰,从而进行地面移动目标检测的模拟。在给定的虚警率下,将根据SNR和最小可检测速度(MDV)来研究目标检测的概率。仿真结果表明,在给定的误报率为10〜(-3)和10〜(-6)的情况下,在90%的检测概率下,MDV可以理想地达到2m / s〜3m / s。该技术可以用于道路上行驶中的车辆的监视和交通监视。

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