[1]陈昊,杨峰,王永齐,等.一种天波超视距雷达多路径融合算法[J].深圳大学学报理工版,2014,31(2):130-137.[doi:10.3724/SP.J.1249.2014.02130]
 Chen Hao,Yang Feng,Wang Yongqi,et al.An over-the-horizon radar multipath fusion algorithm[J].Journal of Shenzhen University Science and Engineering,2014,31(2):130-137.[doi:10.3724/SP.J.1249.2014.02130]
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一种天波超视距雷达多路径融合算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第31卷
期数:
2014年第2期
页码:
130-137
栏目:
电子与信息科学
出版日期:
2014-03-20

文章信息/Info

Title:
An over-the-horizon radar multipath fusion algorithm
文章编号:
20140204
作者:
 陈昊杨峰王永齐潘泉
西北工业大学自动化学院, 西安 710129
Author(s):
Chen Hao Yang Feng Wang Yongqi and Pan Quan
School of Automation, Northwestern Polytechnical University, Xi’an 710129, P.R.China
关键词:
信息融合天波超视距雷达多路径混合高斯概率假设密度不敏卡尔曼滤波复杂环境
Keywords:
information fusion sky-wave over-the-horizon radar multipath Gaussian mixture probability hypothesis density (GMPHD) unscented Kalman filter complex environment
分类号:
TP 273
DOI:
10.3724/SP.J.1249.2014.02130
文献标志码:
A
摘要:
针对天波超视距雷达(over-the-horizon radar, OTHR)多目标跟踪所面临的多路径和低检测概率问题,结合混合高斯概率假设密度(Gaussian mixture probability hypothesis density, GMPHD)滤波器免数据关联以及计算耗费低的优点,提出多路径不敏卡尔曼混合高斯概率假设密度(multipath unscented Kalman-Gaussian mixture probability hypothesis density, MPUK-GMPHD)融合框架.该框架将多路径效应等效为多传感器,构建面向OTHR的多传感器意义下的概率假设密度(probability hypothesis density, PHD)融合算法. 通过多路径信息的有效融合避免多路径独立量测更新带来PHD目标数过估问题,并采用不敏卡尔曼滤波处理量测模型非线性问题.仿真结果表明,在OTHR多目标跟踪的复杂环境下,MPUK-GMPHD融合算法能够较准确地估计目标状态和目标数,缓解了直接利用GMPHD滤波器处理带来的目标数过估和较大计算量的问题.
Abstract:
Sky wave over-the-horizon radar (OTHR) usually suffers from multipath propagation effects and low detection probabilities when tracking multiple targets. In this paper we present a multipath unscented Kalman-Gaussian mixture probability hypothesis density (MPUK-GMPHD) fusion framework to overcome these defects. The GMPHD filter is capable of avoiding data associations while maintaining low computational complexity. A probability hypothesis density fusion algorithm is proposed for OTHR, wherein multipath propagation effects are analyzed using a multi-sensor model. Particularly, the target number over-estimation problem is effectively avoided by fusing the multipath information, and an unscented Kalman filter is utilized to solve the nonlinear problem in measurement model. Simulation results show that the proposed MPUK-GMPHD framework estimates target state and number more accurately than conventional methods in complex environments, e.g. OTHR multi-target tracking. It overcomes the target number over-estimation and high computational complexity problems in existing GMPHD filter based algorithms.

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备注/Memo

备注/Memo:
Received:2013-10-09;Revised:2013-12-24;Accepted:2014-01-23
Foundation:National Natural Science Foundation of China (61135001, 610741179)
Corresponding author:Associate professor Yang Feng. E-mail: yangfeng@nwpu.edu.cn
Citation:Chen Hao, Yang Feng, Wang Yongqi, et al. An over-the-horizon radar multipath fusion algorithm[J]. Journal of Shenzhen University Science and Engineering, 2014, 31(2): 130-137.(in Chinese)
基金项目:国家自然科学基金资助项目(61135001, 610741179)
作者简介:陈昊(1992-),男(汉族),安徽省滁州市人,西北工业大学硕士研究生. E-mail: 710276588@mail.nwpu.edu.cn
引文:陈昊,杨峰,王永齐, 等. 一种天波超视距雷达多路径融合算法[J]. 深圳大学学报理工版,2014,31(2):130-137.
更新日期/Last Update: 2014-03-20