In order to optimize the system performance, the fusion rule and the sensor decision rules must be optimized jointly.
为了使系统检测性能达到最优，需要对融合规则及各部传感器的判决规则进行全局最优化。
To optimize the system performance, the fusion rule at fusion center and the decision rules at all the sensors must be globally optimized.
为了使系统性能达到最优，需要对融合中心的融合规则及各部传感器的判决规则进行全局最优化。
The basic concepts, association rules, process, standard of decision and theory of D-S evidence reasoning applied to data fusion are analyzed in detail.
阐述了D - S证据理论用于多传感器数据融合的基本概念、合成法则、一般步骤及决策准则。
The global optimal multi-sensor data fusion system and the local optimal decision rules are studied, respectively.
研究了全局最优融合系统以及局部传感器的最优判决准则。
It is proved by theoretical derivation that under the N-P criterion, the system fusion rules and the sensor decision rules are still the likelihood ratio threshold decision rules.
通过理论推导，证明了在N - P准则下，融合系统的融合规则和传感器的判决规则是似然比门限判决。
Recently, the detect fusion rules by considering the channel condition are researched, it is called channel aware decision fusion.
近年来，有学者将信道的影响因素考虑进了分布式检测系统的融合处理中，称为信道敏感性检测融合。
Recently, the detect fusion rules by considering the channel condition are researched, it is called channel aware decision fusion.
近年来，有学者将信道的影响因素考虑进了分布式检测系统的融合处理中，称为信道敏感性检测融合。
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