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Application of STAP For Detection of Target In The Presence of Ground Clutter

机译:STAP在地面杂波存在下目标检测中的应用

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For Airborne radars it is necessary to suppress the levels of the interferers well below the weak desired signal. The problem is complicated due to the motion of the radar platform as the ground clutter received by airborne radar is spread out in range, angle and over Doppler. Space-Time adaptive processing (STAP) is a technique, which helps to detect small signal of interest in such a noisy environment. This paper considers a generic clutter model. The simulations clearly bring out the 2-D nature of ground clutter and give an insight into the noisy environment in which the target is detected.
机译:对于机载雷达,有必要将干扰源的电平抑制在远低于所需的微弱信号之下。由于机载雷达接收到的地面杂波分布在范围,角度和多普勒上方,因此雷达平台的运动使问题变得复杂。时空自适应处理(STAP)是一种技术,可帮助在这种嘈杂的环境中检测到感兴趣的小信号。本文考虑了一个通用的杂波模型。这些模拟清楚地揭示了地面杂波的二维特性,并深入了解了检测目标的嘈杂环境。

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