5G信道状态信息信号质量及指纹定位性能分析

5G channel state information signal quality and positioning performance analysis

5G信道状态信息(channel state information,CSI)具有丰富的特征信息,是一种理想的指纹定位信号,但信号质量易受环境干扰,对定位性能影响较大.为了分析不同因素对5G信号质量和定位性能的影响程度,本文首先阐述了5G信号特征和基于支持向量回归(support vector regression,SVR)的定位算法,分析了数据采集时终端的高度、方向、人体遮挡等因素对信号质量的影响,测试了廊厅、小办公室和中型会议室三种场景下的定位性能.结果表明:5G信号质量受周围环境影响较大,在干扰较小的情况下,基于5G CSI的位置指纹定位算法在三种场景下的定位精度分别为0.93 m、1.46 m和1.94 m,能够满足大多数室内定位应用需求.

5G channel state information(CSI)has rich feature information,but it is greatly affected by environmental information,which directly affects the fingerprint positioning performance.In order to analyze the degree of influence of different factors on 5G signal quality and positioning performance,this paper first expounds the 5G signal characteristics and positioning algorithm based on support vector regression(SVR),analyzes the influence of terminal height,direction,human body occlusion and other factors on signal quality during data acquisition,and tests the positioning performance in three scenarios:hallway,small office and medium-sized conference room.The results show that the 5G signal is greatly affected by the surrounding environment,and the positioning accuracy of the location fingerprint localization algorithm based on 5G channel state information has positioning accuracy of 0.93 m,1.46 m and 1.94 m respectively in three scenarios,which can meet the needs of most indoor positioning applications.