摘要
针对基站定位中,终端接收的信号强度(RSSI)受多方面干扰,传统基站定位算法定位精度不高的问题,提出在最小二乘算法中引入加权与反馈的RSSI定位算法(RDOA)。旨在优化信号强度与传输距离的关系,大幅度提高基站定位精度。通过对基站信号在复杂环境下分布情况的研究,建立自适应信号强度分布模型,对定位信息进行加权与反馈,缩小误差带来的影响,综合得到定位结果。实验表明,所提出的方法相较于传统基站定位方法,在只增加少量复杂度的情况下,有更好的鲁棒性和更精确的定位结果。
For the base station positioning,the received signal strength indication( RSSI) of the terminal is interfered by multiple aspects,and the traditional base station positioning algorithm has low positioning accuracy.The received signal difference of arrival( RDOA) localization algorithm is proposed to optimize the relationship between signal strength and transmission distance,and greatly improve the positioning accuracy of the base station. By studying the distribution of base station signals in a complex environment,an adaptive signal strength distribution model is established to weight and give feedback in the positioning information. Experiments show that compared with the traditional base station location method,the proposed method has better robustness and more accurate positioning results with only a small amount of complexity.
作者
王明宇
李凌云
陈伟
WANG Ming-yu;LI Ling-yun;CHEN Wei(Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China;University of Chinese Academy of Sciences,Beijing 100049,China;Shanghai Criminal Science and Technology Research Institute,Shanghai 200050,China)
出处
《测控技术》
2020年第2期63-66,79,共5页
Measurement & Control Technology
基金
上海市刑事科学技术研究院现场物证重点实验室开放课题(2016XCWZK24)
关键词
LBS基站定位
信号强度
复杂分布
传输模型
RDOA算法
LBS base station positioning
signal strength
complex distribution
transfer model
RDOA algorithm
