①Department of Electronic Engineering , Tsinghua University, Beijing 100084, China;
②The First Department, Xi’an Communication College, Xi’an 710106, China
Abstract:It is possible that the input signal-to-noise ratio of different radars may be different and their reliable estimation may be impossible in practical multiradar distributed detection scenario. So the most robust fusion rule is 1 out of N, which has severe signal-to-noise ratio loss comparable with the whole detection scheme’s potential. A new type of quarternary local decision based distributed detection algorithm is presented where the fusion center firstly perform three kinds of kout ofN fusion and then fuses the obtained decision. Monte Carlo simulation revealed that the proposed algorithm has better detection performance than 1 out of N based scheme and can work well when the input SNRs change violently. So it is a robust distributed detection algorithm.