摘要
移动台的精确定位面临的一个主要问题就是信号的非视距(NLOs)传输。小文在TOA测量距离的基础上,利用基站和测量值之间的几何关系、信号的损耗模型和信号强度信息,提出了置信因子定位算法(BFA)。研究了BFA算法在不同类型NLOS误差下的表现,结果表明该算法能够有效地降低NLOS误差的影响,定位精度比其它算法有显著提高,而且在不同分布的NLOS误差下表现稳定。
A key obstacle to high accuracy mobile location is the None Line of Sight (NLOS) transmission of signal. This paper presents a new radio location algorithm-believable factor algorithm (BFA), based on the time of arrival (TOA) range measurements, using the geometric relationship between the base station and measurements, the path loss model and received signal strength. Different distributed NLOS error is utilized to research the performance of this approach. Results show that the BFA algorithm can efficiently reduce the influence of the NLOS error, and is robust to different distributed NLOS error. The location accuracy has been improved greatly compared with other algorithms.
出处
《电子与信息学报》
EI
CSCD
北大核心
2005年第3期373-376,共4页
Journal of Electronics & Information Technology
关键词
移动通信
定位算法
置信因子
NLOS误差
Mobile communication, Location algorithm, Believable factor, NLOS error
