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无源跟踪观测信息的融合优化滤波算法研究
引用本文:乔耀莹,乔梁.无源跟踪观测信息的融合优化滤波算法研究[J].上海航天,2010,27(6):35-37,56.
作者姓名:乔耀莹  乔梁
作者单位:[1]中国传媒大学信息工程学院,北京100024 [2]广东金融学院,广东广州510521
摘    要:为充分利用探测设备可测得的到达时间、到达方向和多普勒频率等空域、时域与频域信息,提出了一种新的单站无源定位系统数据融合优化滤波算法。给出了算法的基本原理及其模型。仿真结果表明:与传统算法相比,该算法具更好的定位精度和收敛速度,是一种有效、可行的定位算法。

关 键 词:无源定位  数据融合  到达时间  到达角  多普勒频率  最优化

Research on Data Fusion Optimization Filtering Algorithm of Passive Tracking Measurement Information
QIAO Yao-ying,QIAO Liang.Research on Data Fusion Optimization Filtering Algorithm of Passive Tracking Measurement Information[J].Aerospace Shanghai,2010,27(6):35-37,56.
Authors:QIAO Yao-ying  QIAO Liang
Institution:1.School of Information Engineering,Communication University of China,Beijing 100024,China;2.Guangdong University of Finance,Guangzhou Guangdong 510521,China)
Abstract:To make full use of spatial and temporal information as well as frequency range information which were time of arrive(TOA),direction of arrive(DOA) and Doppler frequency measurements measured synchronously by modern electronic detecting equipment in single observer passive location and tracking system,a new fusion optimization filtering algorithm was put forward in this paper.The principle and model of the proposed algorithm were presented.The simulation results showed that this method had better accuracy and convergence rate than the conventional algorithms.
Keywords:Passive location  Data fusion  Time of arrival  Direction of arrive  Doppler frequency  Optimization
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