首页> 外文会议>Radar Conference, 2004 >Comparison of the radar clutter cancellation performance of post- and pre-Doppler STAP for ground moving target identification from an experimental airborne surveillance radar
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Comparison of the radar clutter cancellation performance of post- and pre-Doppler STAP for ground moving target identification from an experimental airborne surveillance radar

机译:后多普勒STAP雷达杂波消除性能的比较,用于从实验机载监视雷达识别地面移动目标

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Within this paper we report our study that compared the performance of pre-Doppler and post-Doppler STAP processing algorithms applied to the same radar trials data, collected by QinetiQ's Enhanced Surveillance Radar. The performance of these algorithms was quantified by clutter cancellation ratios and target signal improvement factors (the ratio of the signal to clutter plus noise ratios with and without STAP processing). We have shown that pre-Doppler and post-Doppler STAP may be tuned to give the same level of clutter cancellation. We present results in which bright target signatures are seen to affect the STAP processors and reduce the overall clutter cancellation. We have found that for our two phase center trials radar data, PRI staggered post-Doppler STAP gives greatly enhanced clutter cancellation compared to the simple fixed window post-Doppler STAP. The application of either moving window or auxiliary bin post-Doppler STAP was found to degrade the processor output. The importance of normalizing the final range Doppler map to prevent the amplification of thermal noise and remove the weight-norm variation as a function of Doppler is shown to be a critical step to allow interpretation and application of detection algorithms after STAP processing.
机译:在本文中,我们报告了我们的研究,该研究比较了QinetiQ增强监视雷达收集的应用于同一雷达试验数据的多普勒前和多普勒后STAP处理算法的性能。这些算法的性能通过杂波消除率和目标信号改善因子(带和不带STAP处理的信号与杂波之比加上噪声比)进行量化。我们已经表明,可以对多普勒前STAP和后多普勒STAP进行调整,以提供相同水平的杂波消除。我们提出的结果中,明亮的目标信号被认为会影响STAP处理器并减少总体杂波消除。我们发现,对于我们的两阶段中心试验雷达数据,与简单的固定窗口后多普勒STAP相比,PRI交错式多普勒后STAP大大增强了杂波消除。发现移动窗口或辅助仓后多普勒STAP的应用都会降低处理器输出。归一化最终范围多普勒图以防止热噪声放大并消除作为多普勒函数的权重范式变化的重要性被证明是允许在STAP处理之后解释和应用检测算法的关键步骤。

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