Statistical Performance Analysis of the Adaptive Orthogonal Rejection Detector

作者: Weijian Liu , Jun Liu , Xiaoqin Hu , Zhikai Tang , Lei Huang

DOI: 10.1109/LSP.2016.2550495

关键词: Computer scienceAlgorithmFalse alarmJammingDetectorStatisticsMonte Carlo methodNoise

摘要: Besides noise and potential targets, there usually exists jamming, which can significantly degrade detection performance of a detector. In this letter, we analyze the statistical adaptive orthogonal rejection detector (AORD), recently proposed for case completely unknown jamming. We derive closed-form expressions probabilities false alarm show how jamming affects performance. The theoretical results are verified by Monte Carlo (MC) simulations.

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