基于凸组合和Bar-Shalom-Campo的航迹融合算法研究

计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (2): 49-53.

基于凸组合和Bar-Shalom-Campo的航迹融合算法研究

刘卫东1，2，刘洋1，高立娥1，2

1.西北工业大学航海学院，西安 710072
2.水下信息与控制重点实验室，西安 710075

出版日期:2014-01-15 发布日期:2014-01-26

Research of track fusion based on convex combination and Bar-Shalom-Campo

LIU Weidong1，2, LIU Yang1, GAO Li’e1，2

1.College of Marine, Northwestern Polytechnical University, Xi’an 710072, China
2.Key Laboratory of Science and Technology on Underwater Information and Control, Xi’an 710075, China

Online:2014-01-15 Published:2014-01-26

摘要/Abstract

摘要： 在“当前”统计模型的基础上建立了匀加速运动模型，设定了目标的运动过程，考虑到实际应用的局限，利用自适应扩展卡尔曼滤波（AEKF）对目标的运动状态进行估计。为得到更加精确可靠的信息，利用凸组合融合算法和Bar-Shalom-Campo融合算法对目标航迹进行融合估计，并利用这三种方法对设定目标的运动情况进行仿真估计，给出仿真结果。

关键词: 匀加速运动模型, 自适应扩展卡尔曼滤波, 凸组合融合算法, Bar-Shalom-Campo融合算法

Abstract: On the basis of the “current” statistical model uniformly accelerated motion model is established. It sets the target movement process, considers the limitation of practical application, uses adaptive extended Kalman filtering to estimate target motion state. To obtain a more accurate and reliable information, by using convex combination fusion algorithm and Bar-Shalom-Campo fusion estimation of target track fusion algorithm, it sets a goal of movement simulation by using these three methods, estimates the simulation and shows the results.

Key words: uniformly accelerated motion model, adaptive extended Kalman filtering, convex combination fusion algorithm, Bar-Shalom-Campo fusion algorithm

刘卫东1，2，刘洋1，高立娥1，2. 基于凸组合和Bar-Shalom-Campo的航迹融合算法研究[J]. 计算机工程与应用, 2014, 50(2): 49-53.

LIU Weidong1，2, LIU Yang1, GAO Li’e1，2. Research of track fusion based on convex combination and Bar-Shalom-Campo[J]. Computer Engineering and Applications, 2014, 50(2): 49-53.