摘要
针对单站定位理论模型对方位角的测量精度要求较高,现有测量技术很难达到,提出从改进观测角误差着手,建立目标观测角函数优化模型。利用函数拟合和卡尔曼滤波算法对观测值进行预处理,有效的减小观测系统误差对定位的影响。仿真结果表明该模型具有较好的收敛性,在方位估算精度为0.5°时,被动定位能与主动方式媲美。该结果对水下运动目标被动定位的研究具有重要的参考价值。
According to the theoretical model of single station location, required high measuring accuracy of azimuth, and that poor application performance, the paper proposed to use the function relation between distance and azimuth angle between two targets,and established the optimization model of target observation angle, so that reduced the influence of observation system error on the location.Simulation results indicate that the passive tracking performance can be equivalent to the active tracking performance at the azimuth estimation accuracy of 0.5°.
出处
《机电工程技术》
2015年第7期96-99,182,共5页
Mechanical & Electrical Engineering Technology
关键词
单站被动目标定位
观测角优化
函数拟合
卡尔曼滤波
single station passive target positioning
observation angle optimization
function fitting
Calman filter
