| 基于LMS2UKF的主/被动雷达融合算法 |
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| 引用本文： | 赵域,张剑云,毛云祥.基于LMS2UKF的主/被动雷达融合算法[J].现代防御技术,2011,39(4):133-137,148. |
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| 作者姓名： | 赵域 张剑云 毛云祥 |
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| 作者单位： | 电子工程学院,安徽合肥,230037 |
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| 摘 要： | 在主/被动雷达双传感器目标跟踪背景下,针对IMM算法的计算量大,提出一种基于变结构多模型思想的LMS2UKF分布式融合算法。该算法将LMS算法和UKF滤波算法结合进行矩阵加权融合。与IMM2UKF算法进行仿真比较,结果表明在相同情况下,本算法有较好的稳定性和较好的定位精度。
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| 关 键 词： | 机动目标跟踪 变结构多模 UT变换 主/被动雷达 可能模型集 |
Data Fusion Algorithm for Active/Passive Radars Based on UKF |
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| ZHAO Yu,ZHANG Jian-yun,MAO Yun-xiang.Data Fusion Algorithm for Active/Passive Radars Based on UKF[J].Modern Defence Technology,2011,39(4):133-137,148. |
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| Authors: | ZHAO Yu ZHANG Jian-yun MAO Yun-xiang |
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| Institution: | ZHAO Yu,ZHANG Jian-yun,MAO Yun-xiang(Electronic Engineering Institute,Anhui Hefei 230037,China) |
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| Abstract: | A data fusion algorithm using LMS-UKF is presented based on active/passive radar target tracking in allusion to the IMM's disadvantage of computation.The algorithm is integrated by arrays weighted of LMS and UKF.Compared with the simulation of IMM-UKF algorithm,the approach possesses better stability and higher locating precision in the same condition. |
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| Keywords: | maneuverable target tracking variable structure multiple-modle(VSMM) unscented transformation active/passive radars likely model set(LMS) |
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