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A type of Robust Distributed Detection Algorithm |
Liu Xiang-yang①②; Peng Ying-ning① |
①Department of Electronic Engineering , Tsinghua University, Beijing 100084, China;
②The First Department, Xi’an Communication College, Xi’an 710106, China |
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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 k out of N 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.
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Received: 25 April 2005
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