目标匹配滤波器分集分析用于脱模检测

R. Hersey, W. Melvin, E. Culpepper
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引用次数: 1

摘要

未来的先进雷达系统必须在低径向速度下探测雷达截面(RCS)减小的目标,包括探测下马。目前,合成孔径雷达(SAR)的固定目标指示能力与低地面轨道速度车辆的地面运动目标指示(GMTI)的时空自适应处理(STAP)之间存在着雷达探测性能的不足。在本文中,我们建立了一个扩展驻留的STAP处理模型,并应用该模型分析了具有不同速度和加速度的目标的固有多样性。这种多样性显示了新的匹配滤波技术的潜力,可以更好地实现慢速运动、低rcs目标检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of target-matched-filter diversity over extended dwells for the detection of dismounts
Future advanced radar systems must detect targets of diminishing radar cross section (RCS) at low radial velocity, including the detection of dismounts. Presently, a deficiency in radar detection performance exists between the capabilities of synthetic aperture radar (SAR) for fixed target indication and space-time adaptive processing (STAP) for ground moving target indication (GMTI) of vehicles with low ground track velocity. In this paper, we develop a model for STAP processing over extended dwells and apply this model to analyze the inherent diversity of targets with varying velocities and accelerations. This diversity shows potential for new matched filtering techniques leading to better slow-moving, low-RCS target detection.
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