基于最小二乘的多雷达观察精度分析  

Radar Observation Accuracy Based on Least Squares Analysis

作　　者：纪祥鲲[1] 金裕红[1] 

机构地区：[1]海军工程大学理学院应用数学系,武汉430033

出　　处：《计算机与数字工程》2013年第8期1264-1265,共2页Computer & Digital Engineering

摘　　要：多传感器数据融合是目前指控系统获取目标真实信息的重要途径。雷达作为一种重要的传感器,其对目标的观察精度分析是数据融合的重中之重,而对于观察同一目标的多雷达精度分析尤为重要。论文通过建立外推估算法精度估计模型和基于最小二乘的离散优化多雷达精度排序模型给出了多雷达对目标观察精度的排序分析。The multi-sensor data {uion is an important way for the current command and control system access to the real information of the target. Radar sensor as an important target observation accuracy analysis is the most important data fusion, and observed the same tar- get multiradar accuracy analysis is particularly important. Through established outside estimation algorithm accuracy estimation model based on least squares the discrete optimization multiradar accuracy Sort model gives a sort of multi-radar target observation precision analysis.

关 键 词：传感器 多雷达精度分析 最小二乘法 

分 类 号：O156.2[理学—数学]