现代雷达2012，Vol.34Issue(4)：36-39,44,5.
基于角度划分的2D传感器三维跟踪定位算法
Three-dimensional Tracking and Location Algorithm for Single 2D Sensor Based on Elevation Information
摘要
Abstract
According to the scan characteristic and observation information of 2D sensor,the observation model for three-dimensional moving target using single station was built,and an elevation parameterized extended kalman filter (EPEKF) algorithm for target in three-dimensional constant velocity was presented.Firstly,the elevation region of the sensor was divided into several subinter-vals.Then,the algorithm performs parallel absolute extended Kalman filter in each subinterval and the weights of each filter was updated according to the tracking result.Finally,the estimation from each filter was fused to obtain the final state estimation of the target.The accuracy and stability of the proposed tracking and location algorithm for the target in 3D space can be confirmed by the simulation results.关键词
单站/2D传感器/三维跟踪定位/仰角Key words
single station/2D sensor/three-dimensional tracking and location/elevation分类
信息技术与安全科学引用本文复制引用
雷雨,冯新喜,朱灿彬,李彬彬..基于角度划分的2D传感器三维跟踪定位算法[J].现代雷达,2012,34(4):36-39,44,5.基金项目
国家自然科学基金(60971100) （60971100）
