Analysis of Distributed Detection Fusion under the Situation of Same Level Probability

Distributed detection can increase the performance of the whole sensor network,however,it can not ensure to achieve optimum performance by only taking one specific fusion rule in any situations.The detection probability and false alarm probability of single node as well as the node number should also be considered for determining the fusion rule.An analysis of fusion rule for distributed detection is introduced under the assumption that all the sensors are similar and operate at the same level of false alarm probability and detection probability.These properties and conditions can be used to increase the detection probability and to lower the false alarm probability.Finally a computation example is given for further justification.