摘要
在多传感器被动定位过程中,借助传感器之间的几何位置关系,可得到传感器和目标之间的三角函数约束。然后通过最优化方法计算各个传感器的测量误差,并用该误差修正测量值。由于最优化方法结果往往是局部最优值或者是近似最优值,导致在交叉定位过程中仍然会存在多个不重合的交叉点。本文考虑到目标定位误差不但受到传感器性能的影响,而且也受到目标和传感器之间径向距离的影响,将传感器性能和径向距离作为参数计算各个交叉点的权值,然后对交叉点加权求和,从而获得了较好的定位效果。仿真实验表明改进算法的有效性。
In the localization process of multiple passive sensors, constraint formulas of trigonometric functions are given by means of the relationship about sensors. Measurement errors can be obtained by optimization method. Most cross points do not overlap because the results are the local optimal or approximation optimal. Not only the sensor＇s performance but also the radial range influences the target localization error, so the two factors are considered in this paper. The sensor＇s performance and radial range are regarded as parameters. Each cross point weight is calculated, weighted sum of cross points is given, and then better localization results are obtained. Simulation results show the modified algorithm is efficient.
出处
《光电工程》
CAS
CSCD
北大核心
2010年第2期16-21,共6页
Opto-Electronic Engineering
基金
国家自然科学基金资助项目(60832005
60702061)
关键词
几何约束定位
无源定位
最小二乘
数据融合
geometric constraint localization
passive localization
least squares
data fusion
