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基于无源时差定位系统的机动目标跟踪算法
引用本文:陈莹莹,谢坚. 基于无源时差定位系统的机动目标跟踪算法[J]. 电子科技, 2012, 25(7): 61-65
作者姓名:陈莹莹  谢坚
作者单位:西安电子科技大学电子工程学院,陕西西安,710071
摘    要:研究了三维情况下IMM算法在无源时差定位系统中的应用。由于CV和Singer模型及CT模型状态变量维数不一致,导致IMM算法中数据无法有效地交互与融合。文中对CV和CT模型进行扩维改进,找到适合对三维机动目标进行跟踪的CV—Singer模型.通过与CV—nCT模型的跟踪效果仿真比较验证了其优越性。

关 键 词:无源时差定位  IMM算法  机动目标跟踪

Research on Maneuvering Target Tracking Based on the TDOA Location System
CHEN Yingying,XIE Jian. Research on Maneuvering Target Tracking Based on the TDOA Location System[J]. Electronic Science and Technology, 2012, 25(7): 61-65
Authors:CHEN Yingying  XIE Jian
Affiliation:(School of Electronic Engineering,Xidian University,Xi’an 710071,China)
Abstract:The IMM algorithm for the three-dimensional(3-D) TDOA passive location system is presented.The interaction and fusion of data can not be achieved directly by the IMM algorithm as a result of the inconsistent state variable dimensions among CV,Singer and CT model.A dimensional extension on the CV and CT model is introduced in this paper.Besides,a CV-Singer model suitable for 3-D Maneuvering Target Tracking is established.According to the simulations,the CV-Singer model performs better than the CV-nCT model.
Keywords:TDOA location  IMM algorithm  maneuvering target tracking
本文献已被 CNKI 维普 万方数据 等数据库收录!
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