DISTRIBUTED DECISION FUSION IN THE PRESENCE OF NETWORKING DELAYS AND CHANNEL ERRORS
DISTRIBUTED DECISION FUSION IN THE PRESENCE OF NETWORKING DELAYS AND CHANNEL ERRORS
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DOI：
10.1016/0020-0255(92)90089-q
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发表时间：
1992-12-01
影响因子：
8.1
通讯作者：
LEI, Z
中科院分区：
文献类型：
--
作者：
THOMOPOULOS, SCA;LEI, Z
研究了传输延迟和信道错误对分布式传感器系统性能的影响。在给定时刻的分布式传感器网络中，由于网络和传输延迟，某些传感器的决策可能无法在融合中心获得。假设融合中心必须根据来自其余传感器的数据做出决策，假设已收到至少一个外围决策，则表明，使融合中心固定误报概率的检测概率最大化的最优决策规则是融合中心和传感器处的内曼-皮尔逊检验。此外，结果表明，在有噪声信道的情况下，每个传感器做出的决策取决于相应传输信道的可靠性。此外，融合时误报的概率受到信道误差的限制。对于给定的决策规则，任何通道出错的概率必须保持在一定水平，以实现融合时误报的期望概率。开发了一种次优但计算高效的算法来依次求解传感器和融合阈值。提供数值结果来证明次优算法获得的解与最优解的接近程度。
The effects of transmission delay and channel errors on the performance of a distributed sensor system are studied. In a network of distributed sensors at a given time instant, the decisions from some sensors may not be available at the fusion center owing to networking and transmission delays. Assuming that the fusion center has to make a decision on the basis of the data from the rest of the sensors, provided that at least one peripheral decision has been received, it is shown that the optimal decision rule that maximizes the probability of detection for fixed probability of false alarm at the fusion center is the Neyman-Pearson test at the fusion center and the sensors as well. Furthermore, it is shown that, in the case of noisy channels, the decision made by each sensor depends on the reliability of the corresponding transmission channel. Moreover, the probability of false alarm at the fusion is restricted by the channel errors. For a given decision rule, the probability of any channel being in error must be kept at a certain level to achieve a desired probability of false alarm at the fusion. A suboptimal but computationally efficient algorithm is developed to solve for the sensor and fusion thresholds sequentially. Numerical results are provided to demonstrate the closeness of the solutions obtained by the suboptimal algorithm to the optimal solutions.