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不完全量测下光电跟踪系统中冗余测角信息的攫取研究
引用本文:陈黎,王中许.不完全量测下光电跟踪系统中冗余测角信息的攫取研究[J].兵工学报,2011,32(7):819-826.
作者姓名:陈黎  王中许
作者单位:(63961部队, 北京 100012)
摘    要:针对由激光测距机与精密测角设备组成的光电跟踪系统,为了攫取跟踪系统的冗余测角信息以提升不完全量测下跟踪系统的估计性能,设计了基于验后置信度残差检测的联邦目标跟踪滤波器.依据物理结构将跟踪系统的位置探测通道分解为测距与测角2个探测通道,并对2个探测通道的量测数据分别进行基于验后置信度残差检测的目标状态估计.将估计结果送至...

关 键 词:飞行器控制、导航技术  状态估计  光电跟踪系统  不完全量测  冗余测角信息  联邦滤波器

Research on Data Mining of Redundant Angle Information in Optic-electric Tracking System with Intermittent Observations
CHEN Li,WANG Zhong-xu.Research on Data Mining of Redundant Angle Information in Optic-electric Tracking System with Intermittent Observations[J].Acta Armamentarii,2011,32(7):819-826.
Authors:CHEN Li  WANG Zhong-xu
Affiliation:(Unit 63961 of PLA, Beijing 100012, China)
Abstract:For mining the redundant angle information in optic-electric tracking systems composed of laser range finder and precision angle measurement device under intermittent observations,a federal filter was designed on the basis of the posterior confidence residual test algorithm.Firstly,the position detection channel in traditional optic-electric tracking system was decomposed into two independent detection channels according to physical structure.Then,the target motion states were estimated by use of the detection data of two channels respectively,and a global state estimate was obtained by fusing these two state estimates.Finally,the information sharing of the federal filter was done according to the global state estimate and the posterior confidence of detection channels.Monte Carlo simulation and measurement data show that the proposed filter can obviously improve the estimation performance of optic-electric tracking systems by mining redundant angle information without increasing any hardware cost,and its root mean square of estimate error(RMSE) is close to the average Cramer Rao low bound(CRLB) of tracking systems.
Keywords:control and navigation technology of aerocraft  state estimation  optic-electric tracking system  intermittent observation  redundant angle information  federal filter
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