Abstract
Traditional passive radar systems with a noisy reference signal use the cross-correlation (CC) statistic for detection. However, owing to the composite nature of this hypothesis testing problem, no claims can be made about the optimality of this detector. Further, most modern day commercial digital illuminators and non-cooperative radar transmit signals which have an inherent low-rank structure. Therefore, exploiting this low-rank structure of most passive radar illuminators, we recently proposed singular value decomposition (SVD) based detector that outperforms the CC detector while offering “near CFAR” behavior with respect to varying signal strengths on the reference channel. In this paper, we compare these detectors using measured data collected from experiments in a controlled laboratory setting. We demonstrate the improved performance offered by the SVD detector when compared to the traditional CC detector while transmitting LFM as well as pseudo noise waveforms.
Published Version
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