深圳大学学报（理工版）Issue(2)：130-137,8.DOI:10.3724/SP.J.1249.2014.02130
一种天波超视距雷达多路径融合算法
An over-the-horizon radar multipath fusion algorithm
摘要
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 mul-tipath 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 accu-rately 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.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Key words
information fusion/sky-wave over-the-horizon radar/multipath/Gaussian mixture probability hypothe-sis density ( GMPHD)/unscented Kalman filter/complex environment分类
信息技术与安全科学引用本文复制引用
陈昊,杨峰,王永齐,潘泉..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,(2):130-137,8.基金项目
国家自然科学基金资助项目(61135001,610741179)@@@@National Natural Science Foundation of China (61135001,610741179) （61135001,610741179）
