A Research Towards 5G Massive Mimo Angular Positioning Method

With the rise of the local living industry,location services have been widely used in all aspects of residents' daily life.However,due to the increasing complexity of the urban environment,positioning performance is affected by quite a lot factors such as multipath,non-line-of-sight,near-fields and far fields problem,and insufficient location sources.In order to improve the positioning performance and efficiency,this article focuses on the representative large-scale antennas multiple-input multiple-output technology in 5G,explores its ability to improve positioning,and provides new location service solutions for indoor and outdoor complex scenarios.According to the main problems affecting positioning,we divide the main research work of the paper into the following parts:1.To solve the problem of difficult positioning of 5G complex areas,this article begins with the analysis of new 5G technologies,and uses large-scale antenna angle measurement technology and multi-base station angle positioning as breakthrough method.Further more,we subdivide complex scenes into two parts:outdoor scenes and indoor scenes.By analyze its characteristics,we finally determine the relevant solution ideas and required research basis,which make corresponding preparations for the proposed algorithm;2.In view of the severe multipath and non-line-of-sight phenomena in outdoor complex scenes,near-field problems and base station selection brought by ultra-dense networking,this paper proposes a large-scale antenna direct positioning method which combines far fields and near fields.First of all,according to the characteristics of 5G heterogeneous networking,initial positioning and base station selection are performed to avoid multipath non-line-of-sight problems;then,in order to solve multipath,far-field and near-field problems and avoid cumulative errors,this paper introduces a fourth-order cumulant to achieve far-field and near-field integration.According to simulation,the method can obtain sub-meter level positioning results.Compared with other algorithms,the positioning accuracy and stability are both improved;3.For indoor scenes where only a few base stations are line-of-sight and most of them lack of source dimensions,this paper proposes a Co-band MIMO combined positioning method.First,we introduce Co-band signals for initial positioning,excluding some non-line-of-sight base stations.Then,we propose a Co-band multi-antenna positioning algorithm that reduces the dimensionality of the correlation matrix through Co-band coupling and optimizes the angular positioning results while reducing Computational complexity.Through simulation analysis,it can be obtained that this algorithm can reach better positioning results compared to traditional algorithms,and finally achieve indoor high-precision positioning coverage.Through the analysis of the above two scenarios and the corresponding algorithms,the positioning accuracy and efficiency have been improved in different indoor and outdoor environments.Moreover,the algorithm proposed in this paper is compatible with the 5G communication technology and has practical application significance.All in all,this research provides a new solution to the indoor and outdoor complex scene positioning problem,which is conducive to improving the location service capabilities of urban hotspots and makes contribution to achieve seamless positioning in all time and space.