基于WSN的智能雷场通道检测算法研究

Research on Channel Detection Algorithm of Intelligent Minefield Based on WSN

以网络化、智能化为特征的第四代智能雷场系统是现代地雷发展的必然趋势。美国等发达国家10年前就开展了网络化智能雷场的研制工作,并已经初步列装部队。针对基于无线传感器网络的智能雷场的通道检测问题进行研究,建立了雷场网络化模型,定义了雷场内部通道和边缘通道的概念,并证明雷场中存在通道是机动车辆可以通过雷场的必要条件。同时设计了两种通道的检测算法,为网络化智能雷场的通道检测以及后续的雷场自愈提供了理论基础和技术实现途径。

The fourth generation of intelligent minefield system characterized by network and intelligence is an inevitable trend in the development of modern mines.The United States and other developed countries have carried out the development work of networked intelligent minefields a decade ago and have initially put it into armed forces.In this paper,we carried on research in allusion to the channel detection problem of intelligent minefields based on the wireless sensor network,established minefields networked model,defined the concepts of internal channel and edge channel of minefields and proved that channels exist in the minefield is the necessary condition for the motor vehicle to pass minefields.Meanwhile,detecting algorithm was designed respectively for two kinds of channels and this provides both theoretical basis and technical implementation approach for channel detection of networked intelligent minefields and the subsequent minefield self-healing.