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通信受限下分布式多传感器协同跟踪算法
引用本文:赵猛,左燕,李明地,郭宝峰.通信受限下分布式多传感器协同跟踪算法[J].火力与指挥控制,2017,42(6).
作者姓名:赵猛  左燕  李明地  郭宝峰
作者单位:杭州电子科技大学通信信息传输与融合技术国防重点学科实验室,杭州,310018
基金项目:国家自然科学基金,浙江省自然科技基金资助项目
摘    要:在分布式多传感器目标跟踪系统中,由于局部融合中心(LFC)的物理限制(如:有限的频率信道、处理器容量有限等),只能接收有限个传感器的传送数据。此外,信息传输的方式也将影响传感网的使用寿命,因此,研究了通信受限下的分布式多传感器目标协同跟踪问题。首先对监视区内分布的传感器进行聚类分簇形成若干个子网,接着从通信能耗的角度出发,对传感器采集信息的传递路径进行最优路径规划;进而对子网局部状态进行估计,在子网信息融合中,分别采用最大距离和、最大化信息增量两种准则进行最佳传感器选择,最后通过各子网全局航迹融合实现分布式多传感器协同跟踪。仿真验证了算法的有效性。

关 键 词:分布式  通信受限  最短路径规划  聚类分簇  航迹融合

Distributed Multi-sensor Target Collaborative Tracking Algorithm under Communication Constraints
ZHAO Meng,ZUO Yan,LI Ming-di,GUO Bao-feng.Distributed Multi-sensor Target Collaborative Tracking Algorithm under Communication Constraints[J].Fire Control & Command Control,2017,42(6).
Authors:ZHAO Meng  ZUO Yan  LI Ming-di  GUO Bao-feng
Abstract:In a distributed multi-sensor target tracking system,the physical limitation of the local fusion center (LFC)(limited frequency channel,limited processor capacity) is considered,which can only receive the transmission data of a finite number of sensors.In addition,the way of information transmission will affect the service life of the sensor network,so this paper studies the distributed multi-sensor target tracking problem under communication constraints. In this paper,the distributed sensors in the monitoring area are firstly combined to a number of sub-networks,and then the optimal transmission path of sensor data is determined by minimizing the communication consumption costs. Moreover the local state of each sub-network is estimated. In the local fusion center,the sensor is selected based on the maximum distance and the maximum information increment. Finally the multi-sensor collaborative tracking is implemented by the global track fusion. Simulation results show the effectiveness of the proposed algorithm.
Keywords:distributed  limited communication  shortest path planning  cluster  track fusion
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