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带反馈信息的纯方位水下分布式融合算法
引用本文:关欣,何友,衣晓.带反馈信息的纯方位水下分布式融合算法[J].系统仿真学报,2003,15(7):947-949.
作者姓名:关欣  何友  衣晓
作者单位:海军航空工程学院信息融合技术研究所,烟台,264001
基金项目:全国优秀博士学位论文作者专项基金资助项目(200036)
摘    要:针对水下被动目标跟踪的特点,为了改善跟踪性能,本文研究纯方位水下分布式模型中多传感器的状态估计技术。参照雷达系统中的反馈机制,在观测平台有效机动的情况下,利用多传感器量测的方位序列进行状态估计融合。仿真结果表明,融合中心能够完成对目标的状态估计,且引入反馈机制可以明显改善局部传感器的估计精度。这为水下被动目标跟踪的实现,提供了工程应用参考。

关 键 词:纯方位跟踪  状态估计  反馈机制  分布式融合
文章编号:1004-731X(2003)07-0947-03
修稿时间:2002年9月9日

Bearings-only Underwater Distributed Fusion Algorithm with Feedback Information
GUAN Xin,HE You,YI Xiao.Bearings-only Underwater Distributed Fusion Algorithm with Feedback Information[J].Journal of System Simulation,2003,15(7):947-949.
Authors:GUAN Xin  HE You  YI Xiao
Abstract:According to the characteristics of underwater passive target tracking, the technology of multi-sensor state estimation in bearings-only underwater distributed model is studied in this paper in order to improve tracking performance. According to the feedback mechanism in radar systems, state estimation from multi-sensors bearing sequences is fused on condition that observer platform makes efficient maneuvers. The simulation results show that the multi-sensor data fusion can not only complete the state estimation but also greatly improve the tracking performance of local sensors by using feedback mechanism. It offers reference to underwater passive target tracking.
Keywords:bearings-only tracking  state estimation  feedback mechanism  distributed fusion
本文献已被 CNKI 维普 万方数据 等数据库收录!
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