摘要
多传感器组网的数据融合,可以提高目标的定位精度。文中提出了一种雷达网空中目标的空间位置融合的加权最小二乘算法,在目标位置估计Fisher信息矩阵基础上给出了目标位置估计误差的克拉美-罗下限。经蒙特卡罗仿真实验表明,该融合算法已逼近了克拉美-罗限,是一种理想的多雷达跟踪定位算法。
The target tracking location precision can be improved by multi-sensor data fusion.A multi-radar least-square method based on target location is presented.The Cramer-Rao bound is given on the basis of FIM.It was tested and verified by Monte Carlo simulation that this method can approach the Cramer-Rao bound.Experimental result shows it has good location accuracy.
出处
《现代雷达》
CSCD
北大核心
2010年第11期25-28,共4页
Modern Radar
