一种改进的LOS环境下TDOA定位算法

Qu Baoping, Shao Gang, Jing Zhanrong
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引用次数: 7

摘要

传统的基于TDOA的定位算法主要针对地面移动基站。本文以低空飞行器为研究对象,将Chan算法扩展到三维空间,并利用飞机上的惯性导航系统(INS)进行实时组合导航。该定位算法的主要思想是利用CDMA蜂窝网络导频信号的到达时间差(TDOA)进行二次加权最小二乘,吸收泰勒算法的递归思想得到飞行器的定位解,并利用惯性导航系统的原始信息消除模糊,最终得到飞行器的实时定位解。仿真结果表明,在相同条件下,与其他经典算法相比,该算法速度快、精度高,均方误差接近Cramer-Rao下界(CRLB)。该算法对低空飞行器定位具有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved TDOA Location Algorithm in LOS Environment
Chan classic position algorithm based on TDOA is primarily intended for mobile base station on the ground. This paper focuses on low altitude aircraft, and extend Chan algorithm to three dimensions space and inertial navigation system(INS) on the aircraft is used for real time integrated navigation. Main idea is that the location algorithm is using time difference of arrival(TDOA) of CDMA cellular network pilot signals to make twice weighted least squares and absorbing recursive thought of Taylor algorithm and get location solutions of vehicle and taking use of the original information of INS to eliminate fuzzy, finally we obtain aircraft real time location solution. Simulation show that compared with other classical algorithm under the same conditions, the algorithm is of high speed and high precision and the mean square error approach Cramer-Rao Lower Bound(CRLB).The algorithm have some reference value low altitude aircraft location.
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