摘要
多平台的被动传感器交会 (融合 )跟踪系统的功能就是将呈网状分布的多被动传感器测量到的目标的角度量测信息进行融合 ,以得出目标的运动状态 .本文基于无偏估计的Cramer Rao不等式 ,分析了运动平台上的双被动雷达交会跟踪目标时不同通信带宽情况下的估计精度问题 ,并且建立了对机动目标交会跟踪的扩展卡尔曼滤波(EKF)跟踪算法 .
A multi-platform angle-only tracking system combines the angular measurements from distributed networked sensors.This paper investigates the effect of communication bandwidth on track quality in a system which receives angle-only measurements from two networked radars installed on two moving platforms in order to estimate the full kinematic target state.The investigation is based on Cramer-Rao lower bound of the mean-square range error,and applies the extended Kalman filter (EKF) to track maneuvering target.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2003年第3期471-474,共4页
Acta Electronica Sinica
