摘要目标跟踪技术被广泛的应用于多个学科领域。军事上的敌我目标监控、导弹飞机拦截、地面火力引导，民用上的空中交通管制、航道船只定位、图像视频监控等都涉及到目标跟踪方面的问题。目标跟踪技术涉及范围广，随着多个领域科技手段的不断进步，尤其是计算机技术的快速发展，目标跟踪技术已经深入到更加复杂多变的环境中去。本文重点介绍卡尔曼滤波（Kalman Filter）算法，分析其结构流程，建立了双站交叉定位模型，运用Matlab软件对目标跟踪进行了仿真。28082
本文首先介绍了纯方位目标跟踪的研究背景及发展现状，然后介绍了卡尔曼滤波算法的原理，步骤化分析了算法的具体结构流程。还简要介绍了贝叶斯滤波、粒子滤波等其他不同的常用的目标跟踪滤波算法。分析了纯方位目标跟踪系统的组成部分，并且建立了目标跟踪模型。接着又介绍了交叉定位的基本原理，确定双基站交叉定位模型，分析模型的定位精度的不同的评价指标。最后阐述了利用卡尔曼滤波算法来处理双基站纯方位目标跟踪问题的方法，确定算法流程步骤，并且设置仿真场景，对具体的问题运用Matlab软件进行了模拟仿真，分析了卡尔曼滤波在静止双站交叉定位过程中所起的效果。
关键词 目标跟踪 卡尔曼滤波 交叉定位 Matlab仿真
毕业论文设计说明书外文摘要
Title Dual-radio bearings - only target tracking algorithm
Abstract
Target tracking technology is widely used in many areas. Militarily Enemy target monitoring, missile intercepting , ground fire booting, air traffic control. Civilianly, waterway vessels tracking,video surveillance are all related to target tracking. Target tracking technology involves a wide range of fields of science and technology as the means of progress, especially the rapid development of computer technology, target tracking technology has been deep into a more complex environment. This article focuses on the Kalman filter (Kalman Filter) algorithm to analyze the structure of the process, the establishment of a dual-station cross-location model, using Matlab software simulation for target tracking.
This article first introduces the principles of Kalman filter algorithm,then we analyze the structure of the flow algorithm.After that we give a brief introduction of other different target tracking algorithm like Bayesian filtering, particle filtering, and establish a target tracking model. Then introduce the basic principles of cross-positioning, dual-radio cross-location model is determined by using the positioning accuracy of different evaluation analytical model. Finally we elaborated Kalman filter, dual-radio bearings - only target tracking algorithm.In the end,I design a filter algorithm steps, and set the simulation scenarios, use Matlab to simulate the system and get the feedback image.
Keywords Target-tracking Kalman filter Cross localization Matlab
目 次
1 绪论 1
1.1 课题的研究背景及意义 1
1.2 国内外研究现状 2
1.3 论文的研究内容 4
1.4论文的章节安排 4
2 目标跟踪算法基础 5
2.1 目标跟踪模型 5
2.2典型滤波算法 8
2.3 目标跟踪评价指标 14
2.4 本章小结 16
3 双基站纯方位被动跟踪模型 17
3.1交叉定位原理 17
3.2 双基站交叉定位模型 19
3.3 交叉定位精度分析 22 静止双基站纯方位目标跟踪算法研究Matlab仿真:http://www.youerw.com/zidonghua/lunwen_22798.html