Analyzing space-time adaptive processors using measured data

B. Himed, W. Melvin
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引用次数: 56

Abstract

We use monostatic data obtained from the Multichannel Airborne Radar Measurements (MCARM) program to conduct a comparative analysis of various space-time adaptive processing techniques. Specifically, we consider reduced-dimension and reduced-rank methods. The measured data analysis shows the significance of training sample selection, effects of nonhomogeneity in the clutter data, sensitivity of certain classes of adaptive filters to the rank of the measured clutter signal and suitability of the various approaches.
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利用实测数据分析时空自适应处理器
我们使用从多通道机载雷达测量(MCARM)程序获得的单站数据对各种时空自适应处理技术进行比较分析。具体来说,我们考虑了降维和降秩方法。实测数据分析显示了训练样本选择的重要性、杂波数据非均匀性的影响、某类自适应滤波器对实测杂波信号秩的敏感性以及各种方法的适用性。
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