终端区及场面多点定位中TSOA与TDOA算法性能分析

首先从算法原理、计算量、定位误差及模糊度等方面比较分析了多点定位中几种典型算法性能，综合比较得出Taylor算法定位性能最佳；其次，从模糊点数量及分布方面证明到达时间和（Time sum of arrival, TSOA）算法的定位性能要比到达时间差（Time difference of arrival, TDOA）算法差；最后，分析了基站数量、布局、目标高度、时间和测量误差及基线长度等参数，依据几何精度因子的变化状态证明了TSOA定位算法的性能优势。仿真结果证明，理论上TSOA算法的综合定位性能优于TDOA算法。

TSOA and TDOA Positioning Algorithms of Multilateration in Terminal Area and Airport Surface

Firstly, the performance of the several typical positioning algorithms is analyzed in principle, computational quantity, positioning error and ambiguity, and the comparison results show that the Taylor algorithm is the best. Secondly, it is proved that the positioning performance of the time difference of arrival(TDOA) algorithm is better than the time sum of arrival(TSOA) algorithm in the quantity and distribution of the ambiguity points. Finally, changing the location parameters,such as the base station number, layout, target height, measurement error of the time sum and the length of baseline, it is proved that the location performance of the TSOA algorithm is better than that of the TDOA algorithm according to the geometric dilution of precision (GDOP). Simulation results show that the location performance of the TSOA algorithm is better than that of the TDOA algorithm.