Regional Blockade Submunitions Quickly Enter The Network And Research On Coordinated Detection Technology

The networking of area denial submunition enables submunition nodes to not only collect regional information but carry out tactical tasks,which has a better application prospect.In the research field,fast networking of isolated nodes and target detection technologies are the two key ones,some problems of which still need to be solved.The research of the thesis mainly focuses on the two technologies.In the application of networking area denial submunition,harsh environmental conditions or tactical requirements may result in the loss of parent nodes in the network,which would leave a large number of isolated nodes.In terms of fast networking of isolated nodes,the problems of present networking mechanism are analyzed form the perspective of the causes of isolated nodes,wherein the elapsed time is mainly emphasized,to propose an improvement strategy of networking mechanism.The improvement strategy mainly includes shortening the channel scanning time,omitting the decision of the isolation state and optimizing the sensor network address space to reduce the networking time of isolated nodes.Numerical simulation and experimental results show that 2.1s is saved for the networking time of isolated nodes at a relatively low node saturation;when the node saturation reaches more than 80%,the optimization of sensor network plays a certain role in reducing the networking time of isolated nodes.Target detection technology is the basis of the practical application of area denial submunition,playing a decisive role in tactics of precision strike.In the thesis,a collaborative target detection algorithm for multi-sensor nodes is designed to fit the application of area denial submunition.In terms of the influence on the accuracy of target detection by the failure of the constant threshold of single node to filter the ambient interfering noise,an adaptive threshold iteration algorithm of single node suitable for embedded platform is introduced based on the analysis of classic N-P optimal fusion in order to achieve a target detection algorithm with robust design to ambient interfering noise.The numerical simulation and experimental results show that the proposed algorithm can effectively suppress the false-alarm rate of single-node target detection considering the single-node detection performance;from a overall perspective,the proposed algorithm plays a certain role in improving the target detection performance of the system.