一種穩(wěn)健的分布式檢測算法
A type of Robust Distributed Detection Algorithm
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摘要: 在多雷達分布式檢測系統(tǒng)中各個雷達的信噪比各不相同且沒有辦法對實際的信噪比進行有效估計時，基于N選k融合的分布式檢測策略最穩(wěn)健的方法就是選擇N選1融合，但是這種方法相對于系統(tǒng)所能達到的檢測性能有很大的損失，該文提出了一種基于4元局部判決的方法，融合中心作3種N選k融合，然后將3種融合結果進行或運算以得到最終判決結果。仿真表明該方法比N選1融合具有更好的檢測性能，能適應各個雷達輸入信噪比劇烈變化的情況，是一種穩(wěn)健的多傳感器分布式檢測方法。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 schemes 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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Varshney P K. Distributed Detection and Data Fusion[M]. New York, springer-Verlag Inc. 1997，36-251.[2]Al-Hussaini E K, Al-Bassiouni A M, El-Far Y A. Decentralized CFAR signal detection[J].Signal Processing.1995, 44(3):299-304[3]Ansari N, Chen J G, Zhang Y Z, Adaptive decision fusion for unequiprobable sources[J], IEE Proceedings of Radar sonar and Navigation. 1997, 144(3): 105-111.[4]Hansen V G, Olsen B A, Nonparametric radar extraction using a generalized sign test[J], IEEE Trans. on AES, 1971, 7(5): 942-950. -
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