卡尔曼滤波和最小二乘法结合的机动目标轨迹仿真  

Simulation for maneuvering target trajectory based on Kalman filter and least square methods

作　　者：王辂[1] 郑宏兴[1] 邓东民 万小凤[1] 

机构地区：[1]天津职业技术师范大学天线与微波技术研究所,天津300222

出　　处：《天津职业技术师范大学学报》2016年第1期10-13,共4页Journal of Tianjin University of Technology and Education

基　　金：国家自然科学基金资助项目(61371043)

摘　　要：为有效处理雷达系统采集的机动目标数据,利用旋转矩阵建立地球坐标系与雷达坐标系之间的转换关系,将卡尔曼滤波法与最小二乘法相结合,得到实时可靠的目标运动轨迹。应用数据关联算法,准确分离单个雷达测量的不同机动目标信息,分别得到每个目标的轨迹曲线及运动状态,实现对目标的实时监测。In order to process the data collected by radar system from maneuvering target effectively, a conversion relation between the earth and radar coordinate systems is set up by using rotation matrix. By combining Kalman filtering method with least square method, a real-time and reliable target trajectory has been obtained. Two different maneuvering target′s information measured by single radar has been separated accurately by using data association algorithm. Trajectory curve and motion state of each target is obtained. These methods are convenient for real-time monitoring of targets.

关 键 词：旋转矩阵 卡尔曼滤波 最小二乘法 数据关联算法 

分 类 号：TN953[电子电信—信号与信息处理]