事件触发SRCIF算法及在水下传感网络纯方位跟踪系统中的应用

The Event-triggered SRCIF Algorithm and Its Application to The Underwater Sensor Network Bearing-only Tracking System

针对水下传感网络中的被动目标跟踪中的目标运动状态估计问题,基于现有成果,运用均方根容积信息滤波算法来解决这一问题。并针对其中各水下传感器节点与融合中心间通信量过大的问题,提出了一种事件触发机制,推导了相应的事件触发均方根容积信息滤波算法。仿真结果表明:所提算法及事件触发机制,可在保证融合中心估计精度及收敛性的同时,降低水下传感网络的能耗,增强其工程应用的可行性。

This paper investigates the problem of target state estimation of the bearing-only target tracking of the underwater sensor network.Based on the existing research results,the SRCIF algorithm is introduced to tackle with this problem.And an event-triggered mechanism is designed to deal with the problem of the too much communication amount between sensor nodes and the fusion center.The corresponding state estimation algorithm is derived in this article.The simulation results show that the algorithm and the event-triggered mechanism proposed in this paper can reduce the communication amount,while ensuring the estimation accuracy and the convergence of the fusion center.This enhances the feasibility of the event-triggered mechanism in practical engineering application.