传感器自适应跟踪算法研究及仿真系统实现

Research on sensor adaptive tracking algorithm and implementation of simulation system

摘要:

雷达和红外作为目标跟踪常用的两种探测手段，各有其优缺点，利用雷达高精度的距离测量和红外高精度的角度测量，通过信息融合技术充分实现二者的优势互补，并结合交互式多模型(IMM)跟踪思想，给出对目标位置的精确估计；设计基于雷达/红外多传感器跟踪平台的自适应融合跟踪算法，实现根据目标不同运动特性进行跟踪模型灵活、合理切换的自适应目标跟踪，改善对目标的综合识别，达到更好的跟踪效果；选取当前工程实践中广泛应用的目标运动模型，设计基于VC++环境的目标跟踪仿真系统软件，并利用MFC界面制作技术创建可视化目标跟踪仿真软件平台，对跟踪算法性能进行验证。

Abstract:

As commonly used target tracking means, radar and infrared each have their own advantages and disadvantages. An adaptive fusion tracking algorithm based on radar/infrared multi-sensor tracking platform is designed, which takes full advantages of high-precision distance measurement of radar and high-precision angle measurement of infrared through information fusion technology, and gives accurate estimation of target location by combining the interactive multiple model (IMM) tracking idea. The algorithm can switch tracking models according to different maneuvering characteristics of targets, which improves the comprehensive recognition of the target and achieve better tracking effect. Meanwhile, a target tracking simulation system based on VC++ environment is designed, which selects the target motion model that is widely used in the current engineering practice. The simulation software creates a visual target tracking simulation platform by using MFC interface technology, and verifies the performance of the tracking algorithm.