GM-PHD
所属分类：图形图像处理
开发工具：matlab
文件大小：13KB
下载次数：328
上传日期：2013-10-21 13:56:43
上 传 者：
king_2
说明： 内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。
(This algorithm is extended to accommodate mildly nonlinear target
dynamics using approximation strategies from the extended and
unscented Kalman filters.)
文件列表:
GM-PHD (0, 2013-10-21)
GM-PHD\1 (0, 2013-10-21)
GM-PHD\1\extendedTargetPHDfilter.m (6084, 2013-09-12)
GM-PHD\1\extendedTargetTrackingPHD.m (5681, 2013-09-11)
GM-PHD\1\extendedTargetTrackingPHD_mulitpleTargets.m (6965, 2010-05-19)
GM-PHD\1\generateClutter.m (488, 2010-03-08)
GM-PHD\1\generateExtendedMeasurements.m (912, 2013-09-11)
GM-PHD\1\initParameters_project.m (1113, 2010-05-19)
GM-PHD\1\partitionMeasurementSet_4.m (4807, 2013-09-12)
GM-PHD\1\phdFilter.m (3715, 2010-05-19)
GM-PHD\1\phdPruning.m (1036, 2010-05-19)
GM-PHD\1\phdStateExtraction.m (266, 2010-05-19)
GM-PHD\1\plotPHDsurface.m (951, 2010-05-19)
GM-PHD\1\Sigmacircle.m (245, 2010-05-19)
This Matlab code is provided along with the paper
@Inproceedings{GranstromLO:2010,
author = {Granstr\"{o}m, K. and Lundquist, C. and Orguner, U},
title ={A Gaussian Mixture PHD filter for Extended Target Tracking},
year = {2010},
%pages = {},
booktitle = Proceedings of the International Conference on Information Fusion,
month = jul,
address = {Edinburgh, UK}
}
If you use the code for research, you must cite the paper using the above provided BibItem.
To reproduce the simulations in Section 5.2 of the paper, run extendedTargetTrackingPHD.m
To reproduce the simulations in Section 5.3 of the paper, run extendedTargetTrackingPHD_multipleTargets.m
Karl Granstrm
karl@isy.liu.se
Version
2010-05-24
近期下载者：
相关文件：
收藏者：