基于数据融合的蜂窝无线定位算法研究

The research of cellular location algorithm based on data fusion

本文从数理统计角度,利用TOA和TDOA测量数据并结合扇区信息进行数据融合,然后通过定义可信度函数构造了一种基于移动台位置的动态定位算法,从而实现蜂窝网络定位。最后仿真结果表明这种融合算法在保证决策可靠的前提下,有效提高了决策输出的定位精度。

A TOA/TDOA data fusion model with sector auxiliary information for cellular location is developed based on mathematical statistics. Through defining confidence function, a position-based dynamic location algorithm is obtained for cellular wireless location. At last, results of this data-fusion algorithm show that it improves location precision with the presupposition of robust decision.