Abstract
An adaptive blind presence detection algorithm for burst signals was proposed in this paper.A spectral variance function was chosen as the detection function the change of background noise was tracked by establishing a noise function set with the threshold adjusted adaptively in real time.Then the length of control and a stat-transition mechanism were used to mitigate the effect of dithering of detection function on the decision results.The simulation results show that the proposed method has a better robustness and a higher detection probability for burst signals compared with short-time energy method and spectral entropy method.
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