摘要
在室内环境下,移动台精确定位面临的主要问题是非视距(NLOS)和多径的影响.在非视距距离比例缩放(NLOS-Range-Scaling)算法的基础上,利用更多基站的信息,提出了适合室内情况的NLOS-Range-Scaling算法(ENRSA),研究了ENRSA算法在不同NLOS误差下的表现,结果表明该算法能更有效的降低NLOS误差的影响,定位精度比其他算法有显著提高.
In indoor environment, the key obstacle to high accuracy mobile location is the NLOS transmission of signal and multipath. Based on the NLOS-Range-Scaling Algorithm, utilizing more Base- Station information, a new NLOS-Range-Scaling Algorithm fitting indoor environment is presented. Different NLOS error is utilized to research the performance of this approach. Results show that the ENRSA algorithm Can efficiently reduce the influence of the NLOS error, and the location accuracy has been improved compared with other algorithms.
出处
《四川大学学报（自然科学版）》
CAS
CSCD
北大核心
2008年第6期1382-1386,共5页
Journal of Sichuan University(Natural Science Edition)
基金
国家自然科学基金(60472091)
广西自然科学基金(桂科自0447093
0640168)
