多站纯方位目标跟踪算法研究+文献综述
关键词 纯方位 目标跟踪 非线性 扩展卡尔曼滤波 不敏卡尔曼滤波
毕业设计说明书（论文）外文摘要
Title Multi-station bearings target tracking algorithm
Abstract
Bearings-only passive tracking is an important branch of passive location tracking technology, it is a target location information to estimate the target motion parameters, implemented on the target location and tracking technology. Passive sensors such as passive radar itself does not emit electromagnetic wave, is not easy to detect enemy electronic surveillance system, which has anti-jamming, anti-radiation missile attack advantage.The article first introduces the basic principles of multi-station bearing tracking, suitable mixed-coordinate system, based on the summary of several commonly used linear and nonlinear filtering algorithms, and their respective advantages and disadvantages ofthe scope of application of the inductive analysis. Extended Kalman Filter and Unscented Kalman filtering in two typical nonlinear filtering method are analyzed and compared by numerical simulation. The results showed that: in the weakly nonlinear conditions, the estimated performance of the two algorithms is quite Unscented Kalman Filter; strongly nonlinear systems, a better estimate of the performance, while the extended Kalman filter is no longer applicable.
Keywords bearings-only Target tracking non-liner Extended Kalman Filtering Unscented Kalman Filtering
目 次
1 引言 1
1.1 研究背景及意义 1
1.2 多站纯方位目标跟踪算法研究的基础及其现状 1
1.3 目标跟踪基本原理 3
1.4 论文结构安排 4
2 多站纯方位目标跟踪方法研究 4
2.1 数据预处理 4
2.2 多站纯方位目标跟踪的定位 6
2.3 目标跟踪模型 9
2.4 本章小结 12
3 多站纯方位目标跟踪的经典滤波算法 12
3.1 被动定位问题中的系统模型 12
3.2 经典卡尔曼滤波(KF) 13
3.3 扩展卡尔曼滤波(EKF) 15
3.4 不敏卡尔曼滤波(UKF) 17
3.4 粒子滤波（PF） 20
3.5 本章小结 21
4 多站纯方位跟踪算法仿真 21
4.1 多站纯方位跟踪算法仿真流程 22
4.2 生成模拟航路 22
4.3 匀速直线运动 27
4.4 匀变速模型 34
4.5 本章小结 40
结 论 41
致 谢 43
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