摘要
为了实现组网雷达系统误差修正,在研究雷达误差特性的基础上,分析了2种坐标系统下误差修正的原理,给出了利用最小二乘算法和广义最小二乘算法进行误差修正的公式。通过仿真实验,对实时质量控制算法、最小二乘算法、广义最小二乘算法和扩展卡尔曼滤波算法实现误差配准进行分析,并比较了这些算法在工程应用中的复杂性和估计精度,同时给出各种算法在工程应用方面的适用条件。
In order to implement system error correction, we analyse the theory of error correction in two kinds of coordinates sys- tems. Based on analysis of error characteristics, we present formulation of least square and general least square methods to correct the error. The registration methods of real time quality control algorithm, least square, general least square and extended Kalman filter algorithms are compared in terms of complexity and precision by extensive simulations. Simultaneously, every method＇s appli- cability conditions in engineering applications are proposed.
出处
《现代雷达》
CSCD
北大核心
2009年第5期39-42,共4页
Modern Radar
关键词
雷达组网
误差配准
最小二乘法
广义最小二乘法
扩展卡尔曼滤波
radar network system
error registration
least square （LS） algorithm
general least square （GLS） algorithm
extended Kalman filter（EKF）
