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基于多目标的雷达组网传感器资源管理算法
引用本文:王成伟,陈霄,薛安克.基于多目标的雷达组网传感器资源管理算法[J].火力与指挥控制,2016(5):89-92.
作者姓名:王成伟  陈霄  薛安克
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(61104049);国家自然科学基金重点资助项目(61333009)
摘    要:在雷达组网系统的多目标跟踪过程中,当目标数量过多时,由于传感器资源不足,无法使用传统传感器的管理方法进行资源分配,且运算时间过长,不满足工程实际需求。针对以上问题,提出了一种新的多传感器多目标跟踪任务快速分配算法,该算法将跟踪目标个数和跟踪目标精度作为优化目标,首先按照设定的分配准则对传感器进行一次分配,最大化跟踪目标个数;然后利用一种基于传感器排序的启发式传感器分配方法进行二次分配,通过控制跟踪目标的协方差水平,使目标的跟踪精度尽量接近期望值。仿真结果表明,该算法能够在较短的时间内对多传感器进行有效快速地分配,既跟踪了更多的目标,又达到了期望目标的跟踪精度,并且在一定程度上控制资源消耗,减少系统的总耗能。

关 键 词:协方差控制  传感器管理  信息增益  快速启发式

New Multi-sensor Resource Management Algorithm of Radar Networking Based on Multi-targets Tracking
Abstract:For the multi-sensor in the radar networking management in the process of multi-targets tracking task problem,when a lot of targets appear,as for the lack of sensor resources,it is unable to use traditional sensor management method. In the meanwhile,the operation time is too long to demand of practical engineering. To solve above problems,this paper presents a new radar networking multi-sensor fast tracking task allocation algorithm. This algorithm regards the numbers of tracking targets and tracking accuracy as the optimization goal,the first step in the decision-making to ensure maximum number of radar tracking target. Secondly,for the advantages of covariance control and information gain,using multi-targets tracking task fast allocation heuristics method is made decision. Make the target tracking accuracy close to expectations as far as possible. The simulation results show that the algorithm can both track more targets and track multi-targets with accuracy and timeliness while controlling resource consumption and reducing the total energy consumption of the system.
Keywords:covariance control  sensor-management  information gain  fast heuristics method
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