基于时间差和角度的数据融合定位算法研究

定位系统中大部分现在存在的算法通常没有考虑综合利用空域、时域信息,而只选择了少量的测量信息.为了克服这个缺陷,提出了一种新的TDOA/AOA数据融合定位算法,这种算法充分利用了来自多个传感器的冗长信息,其中包括到达时间、到达方向.仿真实验结果表明与传统的算法相比,这种算法具有更好的定位精度和收敛速度,进一步改进了系统的可靠性,是一种有效、可行的定位算法.

Research on data fusion location arithmetic based on TDOA and AOA information

Most currently existing algorithms in location system usually select single parameter measurement, which means that they do not consider and make full use of spatial and temporal information. In order to overcome this drawback, a new TDOA/AOA fusion algorithm is presented, this algorithm can fully utilize the redundant information coming from many sensors, which includes TDOA and AOA measurements. The simulation results show that the proposed method has better accuracy and convergence rate than conventional algorithms and can improve further the reliability of the system, which indicates the effectiveness and feasibility of this algorithm.