摘要
多站电视测量自动交会定位应用中,目标误检或不同将导致定位误差变大。在最小二乘估计基础上,融合多传感器测角数据,对不同目标测量信息进行自动检择与分组,避免错误数据参与交会而引入超大误差,实现多目标快速交会定位。与常用最小二乘交会法相比,该方法无迭代运算,计算量可减少一半以上。模拟实测数据的仿真实例验证了该多测站交会定位方法的有效性。
The positioning error induced by false detection or disuniform of targets will become more remarkable in the applications of auto-intersection locating via multi-stations TV measurement. To meet the fast intersection locating demand, a method based on least square estimation is presented, which can repartition all stations＇ goniometric data, and improve the precision of positioning by eliminating false information automatically. Comparing with common least square methods, it reduces the workload of calculate to half by avoiding iterative operation. The simulation instance illuminates the procedure that repartition the goniometric data, and verifies this means of intersection locating.
出处
《电视技术》
北大核心
2014年第11期219-223,共5页
Video Engineering
关键词
交会定位
自动检择
最小二乘法
电视测量
intersection locating
automatic data inspecting
least square method
TV measurement
