中继神经元径向自动控制算法及在WSN节点定位中的应用

Relay Neurons Radial Automatic Control Algorithm and Application in WSN Nodes Localization

提出一种改进的中继神经元径向自动控制算法,提高对被控对象的不确定性和外部扰动的抑制能力,实现WSN节点的自组织定位.设计中继神经元径向控制律,把系统的初始化状态固定到中继神经元上,最后采用扩展卡尔曼滤波器监控WSN节点MIMO行为,实现对WSN节点的定位和数据监测.仿真实验表明,改进的自动控制算法能有效提高自动控制增益,保证在低信噪比条件下对WSN节点的准确定位,提高WSN网络稳定性.

Wireless sensor network (WSN) node distribution has great uncertainty .In the low SNR and single receiving node and single modulation , the accurate localization is difficult with node redundancy and increased spending .The traditional method uses self organizing neural network control method for WSN node localization recognition ,due to the destruction of neurons of basal neural network in the discharge of nuclear input relay capability ,resulting in WSN node positioning is inaccurate ,and an improved relay neurons radial automatic control algorithm is proposed to improve the disturbance rejection capability .The WSN nodes self organization is realized . Relay neurons radial control law is designed ,the extended Kalman filter is used to monitor the WSN node MIMO behavior ,the WSN node location and data monitoring is obtained .Simulation results show that the automatic control algorithm can effectively improve the automatic gain control and ensure the accurate localization of nodes in low SNR ,the stability of WSN network is improved .