Separability Analysis of Random FM Radar Waveforms

Matthew B. Heintzelman;Daniel B. Herr;Charles A. Mohr;Shannon D. Blunt;Cenk Sahin;Andrew Kordik
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Abstract

This work seeks to elucidate the relationship between interfering frequency-modulated (FM) radar waveforms and their observed separability. A statistical and analytical framework is developed through which the average separability is determined as a function of the mutual time–bandwidth product between the interfering waveforms. The analytically derived predictor for waveform separability is then compared to a long-observed heuristic. Since random waveforms exhibit stochastic cross correlations, the maximum deviation above the analytically derived predictor is also examined. High-dimensional Monte Carlo simulations are used to numerically validate the analytical results.
随机调频雷达波形的可分性分析
这项工作旨在阐明干扰调频(FM)雷达波形与观测到的可分性之间的关系。建立了一个统计和分析框架,通过该框架确定平均可分性作为干扰波形之间相互时间带宽积的函数。然后,将解析导出的波形可分性预测器与长期观察到的启发式进行比较。由于随机波形表现出随机相互关系,因此还检查了解析导出的预测器上面的最大偏差。采用高维蒙特卡罗模拟对分析结果进行了数值验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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