摘要
该文主要研究了非线性系统中多传感器远距离目标跟踪问题，提出了分布的转换坐标卡尔曼滤波算法（ＣＭＫＦＡ），给出了当多传感器不在同一位置时融合中心的状态估计组合公式。分析了在非线性系统中多传感器和目标的相对位置对远距离目标跟踪精度的影响。通过理论分析和仿真发现，在非线性系统中合理放置多传感器可在节省传感器资源的条件下提高对目标的跟踪精度，并给出了二维平面上多传感器的合理布站方案。
This paper mainly discusses the multisensor for a longrange target tracking in nonlinear systems.The Distributed Converted Measurement Kalman Filtering Algorithm (CMKFA) is proposed and the state evaluation equations in fusion center are deduced on the condition that sensors are fixed at different position.Then it is analyzed that the sensorstarget geometry has a great influence on the tracking accuracy.From the theoretical analysis and the simulation results,it can be proved that depositing sensors rationally in nonlinear systems can raise the target tracking accuracy.A method for depositing the sensors rationally is given on 2dimensional plane.
出处
《南京理工大学学报》
EI
CAS
CSCD
1999年第3期241-244,248,共5页
Journal of Nanjing University of Science and Technology
关键词
数据融合
目标跟踪
多传感器
远距离目标跟踪
data fusion,Kalman filtering,target tracking
distributed estimation algorithm
