NLOS环境下无线通信网络中的TDOA/AOA混合定位算法

TDOA/AOA hybrid wireless location algorithm in cellular networks with NLOS condition

为了提高在NLOS条件下无线定位的精度,采用多种测量值混合定位的方式,提出了一种TDOA/AOA最速下降混合定位算法.该算法以加权残差平方和为目标函数,以最速下降算法为最优化方法.然后,以几何结构的单反射圆盘模型进行仿真,分别利用TDOA/AOA最速下降混合定位算法、TDOA/AOA泰勒级数混合定位算法以及单纯的TDOA泰勒级数经典算法对无线通信网络中不同的定位环境进行了仿真计算.仿真结果表明,当参与定位的基站数目分别为3,4,5,6,7,反射圆盘半径分别为200,300,400,500,600,700m时,与后2种算法相比,TDOA/AOA最速下降混合定位算法的均方差、平均误差及最大误差均较小,即该混合定位算法具有更高的定位精度,且参加定位的基站数目越多,这种优势越明显.

To achieve enough accuracy under complex wireless environment,especially under the NLOS（none line of sight） condition,a hybrid location algorithm based on TDOA（time difference of arrival） and AOA（angle of arrival） is proposed.In this algorithm,the weighted residual sum of squares is defined as the objective function,and the steepest descent method is used as the optimization method.Then,a geometrically based single bounce disk of scatters model is taken as an simulator.And the TDOA/AOA hybrid location algorithm,the TDOA/AOA hybrid Taylor series algorithm and the TDOA Taylor series algorithm are used for calculation in different environments in cellular networks.The simulation results show that when the number of the involved base stations are 3,4,5,6,7,and the radius of the scatter disk are 200,300,400,500,600,700m,respectively,the root mean squared error,the mean error and the maximum error of the TDOA/AOA hybrid location algorithm are smaller than those of the latter two algorithms,indicating that the former algorithm can achieve higher accuracy.The greater the number of the involved base stations is,the more obvious the predominance is.