在军事上,节点自身及机动目标定位与跟踪是战场感知及精确起爆控制的关键。本论文对无线传感器的节点定位问题以及机动目标跟踪问题进行研究。主要工作包括以下几个部分:
1.总结常用的目标跟踪与定位方法原理及各自的优缺点。
2.研究多节点GPS信息差分定位算法,介绍了GPS差分定位原理,阐述了五种节点自定位算法的基本原理。用matlab对五种算法进行仿真,并且分析它们的优劣。仿真结果表明DV-Hop节点自定位算法较好。
3.主要介绍各种机动目标运动模型以及卡尔曼滤波原理,并将CA模型运用到无线传感器网络中。仿真结果表明使用卡尔曼滤波算法预测的目标轨迹与加入高斯白噪声后目标实际运动轨迹非常相近。5930
关键词 GPS信息差分 精确定位 机动目标跟踪
毕业设计说明书(论文)外文摘要
Title Maneuvering target tracking positioning technology based on the network nodes
Abstract
In the military,the node itself and the positioning and tracking of maneuvering targets is the key to battlefield awareness and accurate initiation control.The thesis studied wireless sensor node positioning and maneuvering target tracking problem.The main work includes the following sections:
1.The thesis summaried on the common goal tracking and positioning methods and principles.Graduation design also studied their respective advantages and disadvantages.
2.This thesis studied multi-node GPS information algorithm in the wireless sensor networks and introduced the principle of GPS differential positioning.The thesis introduced basic principles of five kinds of nodes localization algorithm.The thesis simulated five kinds of algorithm using matlab and analysis their pros and cons.The simulation results show that the DV-hop node self-localization algorithm is better.
3.The thesis introduced a variety of maneuvering target motion model and Kalman filtering theory and the CA model is applied to wireless sensor networks.Simulation results show that the trajectory of the target by using the Kalman filter algorithm and the trajectory of the target by adding white Gaussian noise is very similar.
Keywords GPS information difference precise positioning maneuvering target tracking
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