A Novel Double-Threshold Energy Detection Based on Correlativity
Zan Liu, Chen Xihong, Zedong Xie · 2019
Because of noises uncertainty and absent priori knowledge, double-threshold energy detection (DTED) becomes a preferred candidate for passive radar system. To overcome the detection failure of DTED, correlation coefficient of received signals is selected as the criteria, the second evaluation is further carried out. This scheme can efficiently overcome the detection confusion based on a single node, burdens on reporting channel do not increase, way to assign threshold has better generality than existing rules. Simulation results demonstrate the efficiency of the neoteric detection algorithm.