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机构地区:[1]国防科学技术大学机电工程与自动化学院,湖南长沙410073
出 处:《系统工程与电子技术》2011年第6期1397-1402,共6页Systems Engineering and Electronics
摘 要:提出了一种到达时间(time of arrival,TOA)模式下总体最小二乘(total least square,TLS)辅助泰勒级数展开的蜂窝定位新算法。该算法针对泰勒级数展开对初始迭代参考点依赖性强的问题,综合考虑观测量误差和观测站位置误差,利用TLS估计初始参考点,然后在估计值处对观测方程组实施泰勒级数展开,并使用加权最小二乘进行多次迭代运算,实现对移动终端的高精度定位。仿真结果表明,该算法在平均迭代次数和定位精度方面具有接近基于真实位置的泰勒级数展开算法的性能,并且在不同的几何精度因子(geometrical dilution ofprecision,GDOP)下,均具备良好的抗观测量误差和观测站位置误差的特性。Aiming at the strong dependence problem of Taylor series expansion on initial iteration reference point,a new cellular location algorithm based on total least square(TLS) and Taylor series expansion in time of arrival(TOA) mode is proposed.The algorithm utilizes TLS to estimate the initial reference point considering both measurement error and observation station position error,and then uses weighted least square iteration several times to achieve a high-precision location of mobile terminals after implementation of observation equation Taylor series expansion with previous estimation.Simulation results show that the proposed algorithm's performance in average number of iterations and location accuracy is close to the Taylor series expansion algorithm based on real position,and has a good anti-measurement error and position error's characteristic under different geometrical dilution of precision(GDOP) conditions.
分 类 号:TN92[电子电信—通信与信息系统]
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