机载多传感器系统的协同跟踪与调度研究

发布时间：2018-01-14 21:16

本文关键词：机载多传感器系统的协同跟踪与调度研究　出处：《浙江大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着科学技术的不断发展,传感器性能逐渐提升,传感器数量与种类的增加,为现代作战系统带来了新的变化与思考。单一传感器信息获取已不能满足作战需要,为获得最佳作战效果,多种传感器的合作不可或缺。为解决多传感器系统的协同跟踪与智能调度问题,本文结合实际机载环境与目标特性对系统的融合滤波算法与智能调度方案做出了一些改进。首先,以机载红外传感器与机载相控阵雷达为对象,结合最小二乘时间配准技术、基于最小均方误差估计的异质观测融合技术和无迹交互式多模型滤波算法,提出了一种面向机动目标的异步异质多传感器融合跟踪技术,仿真验证了该算法在异步非线性跟踪融合时具有比降频融合和普通的扩展交互多模型滤波算法更为优越的跟踪精度,可以满足机动目标的跟踪要求。其次,针对资源有限条件下的多传感器调度问题,综合考虑了环境条件、任务要求、目标状态与传感器特性,提出了一种基于修正的效能函数的多传感器管理算法。该算法实现了机载传感器在环境和资源有限约束条件下的面向跟踪精度的自适应调度。并以机载PAR、IRST和ESM为背景,仿真验证了该调度方法的有效性。
[Abstract]:With the development of science and technology, the performance of sensors is gradually improved, and the number and types of sensors increase. It has brought new changes and thoughts to the modern combat system. The single sensor information acquisition can no longer meet the operational needs, in order to obtain the best combat results. The cooperation of multiple sensors is indispensable to solve the problems of cooperative tracking and intelligent scheduling in multi-sensor systems. In this paper, the fusion filtering algorithm and intelligent scheduling scheme of the system are improved by combining the actual airborne environment and target characteristics. Firstly, the airborne infrared sensor and airborne phased array radar are taken as the object. Combining the least square time registration technique, the heterogeneous observation fusion technique based on the least mean square error estimation and the unscented interactive multi-model filtering algorithm are proposed. An asynchronous heterogeneous multi-sensor fusion tracking technique for maneuvering targets is proposed. The simulation results show that the algorithm has better tracking accuracy than frequency reduction fusion and extended interactive multi-model filtering algorithm in asynchronous nonlinear tracking fusion. It can meet the tracking requirements of maneuvering targets. For the multi-sensor scheduling problem with limited resources, the environmental conditions, task requirements, target state and sensor characteristics are comprehensively considered. A multi-sensor management algorithm based on modified efficiency function is proposed, which realizes the adaptive scheduling of airborne sensors for tracking accuracy under the condition of limited environment and resource constraints, and uses airborne PAR. Based on IRST and ESM, the effectiveness of the proposed scheduling method is verified by simulation.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212

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