基于删除的混合融合准则
doi: 10.3724/SP.J.1146.2006.00940
Censoring Based Mixed Fusion Rule
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摘要: 在融合通过Nakagami衰落信道传递到融合中心的局部传感器的决策时,文献中提出的基于信道统计量和局部传感器性能指数的似然比检验(LRT-CS)需要局部传感器的检测概率且涉及无穷级数的计算。然而,对于非合作目标而言,局部传感器的检测概率往往是先验未知的。因此,该文提出了一种基于删除的混合融合CMF准则。它不需要局部传感器的检测概率,且实现简单。仿真显示,在局部传感器的检测概率未知时,CMF具有和LRT-CS接近的性能。因而在实际中,CMF完全可以替代LRT-CS。Abstract: When fusing the decisions of local sensors transmitted via Nakagami fading channel, the Likelihood ratio test based on channel statistics (LRT-CS) proposed in the literature requires the detection probability of local sensors and involves an infinity series. However, the detection probability of local sensors generally is a priori unknown for an uncooperative target. Thus, a Censoring based Mixed Fusion (CMF) is proposed, which is simple and does not need the detection probability of local sensors. Monte Carlo simulations show that the CMF has small performance degradation in comparison with the LRT-CS for unknown detection probabilities of local sensors. Therefore, CMF can substitute LRT-CS in practice.
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