车载网的新型定位算法

摘要

The real-time is poor in the vehicle Ad hoc network. In order to solve this problem, this paper proposes a kind of a single station positioning algorithm which combines azimuth angle and time of arrival. It uses them to set up vehicle location tracking model, and then utilizing SUKF filtering algorithm for it. Simulation results indicate that SUKF filtering algorithm not only reduces the computation but also greatly improve the real-time of the system.%针对目前车载定位实时性差等缺点,提出了一种单基站.方位时差联合定位算法.该算法利用方位角和信号到达时间差建立车载定位跟踪模型,然后采用SUKF算法对车载定位跟踪模型进行滤波.仿真结果表明,SUKF滤波算法不但降低了运算量,而且极大地提高了系统的实时性,可应用于车载网的定位.