作者: Weijian Liu , Jun Liu , Xiaoqin Hu , Zhikai Tang , Lei Huang
关键词: Computer science 、 Algorithm 、 False alarm 、 Jamming 、 Detector 、 Statistics 、 Monte Carlo method 、 Noise
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.