Matthew B. Heintzelman;Daniel B. Herr;Charles A. Mohr;Shannon D. Blunt;Cenk Sahin;Andrew Kordik
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Separability Analysis of Random FM Radar Waveforms
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.
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