基于泰勒级数展开的蜂窝TDOA定位算法

基于用户位置的应用已经成为移动数据业务的重要组成部分,使得蜂窝系统用户定位技术成为蜂窝移动通信领域的研究热点。泰勒级数展开算法因为具有精度高和顽健性强等特点而在求解非线性定位方程组中得到了广泛的应用,但它对初始值有很强的依赖性。本文使用最小二乘方法估计用户位置的初始值并使用泰勒级数展开算法确定用户坐标。通过对算法的仿真分析,结果表明本算法具有近似于基于真实值的泰勒级数展开算法的性能。

A new TDOA algorithm based on Taylor series expansion in cellular networks

Applications based on subscriber position have appeared these years, which make radio location techniques one of the most popular research areas of cellular network. Taylor series expansion method has been widely used in solving nonlinear equations for its high accuracy and good robustness. Since the performance of Taylor algorithm depends highly on the initial estimation, a new algorithm based on least squares is proposed to estimate the initial value and then subscribers position can be estimated by Taylor series expansion method. The proposed algorithm and several other algorithms are simulated and the results show that its performance is comparable to the taylor series expansion method based on the true position.