Research On Indoor Single Base Station Postioning Based On Co-band Postioning System

With the progress of the times and the development of science and technology,the people’s demand for location information in indoor scenes in daily life has gradually increased.However,due to the limitations of the complex indoor environment,the multi-base station positioning solution method has the problems of high base station deployment cost and strict positioning conditions.The application of 5G mobile communication network has brought new vitality to the field of indoor positioning.Based on the common band conductance fusion indoor positioning system,combined with the characteristics of 5G mobile communication networking,this paper uses the goniometric ability of large-scale antenna array and the ranging capability of the co-band positioning system to realize the indoor positioning system of single base station with high accuracy in the scenario that does not meet the positioning conditions of multiple base stations.Aiming at the main factors affecting the positioning accuracy in the indoor positioning process of a single base station,the main work of this paper includes:1.According to the characteristics of 5G mobile communication network,this paper analyzes its improvement in the field of indoor positioning,expounds the advantages of single-base station positioning system,and analyzes the factors affecting the indoor positioning accuracy of single-base station,so as to lay a foundation for further research in the following article.2.Aiming at the situation that the user may be in the far field or near field of the antenna array in indoor scenarios,a far and near field signal arrival angle estimation algorithm is proposed,which constructs a receiving model of far and near field signals,and uses the symmetric nature of high-order accumulation to eliminate the nonlinear amount introduced by the near field source due to distance factors,and realizes the estimation of low complexity and high accuracy of the arrival angle of far and near field signals.Simulation experiments are designed and completed,the usability of the proposed method is verified and the performance of the proposed algorithm is analyzed,which provides key angle parameter support for the indoor single-base station positioning system.3.Aiming at the problem that the process noise and observation noise statistics of pedestrians during the movement process are unknown,resulting in the degradation of nonlinear Kalman filter positioning solution performance in indoor scenes,an indoor single-base station positioning method based on LSTM network to improve nonlinear Kalman filter is proposed,and the nonlinear Kalman filter improved by the long short-term memory network is used to calculate the Kalman filter gain when the statistical information of noise is unknown,so as to ensure the performance in the positioning process.The indoor single-base station positioning accuracy at the submeter level has been achieved,and the research on indoor single-base station positioning technology based on common-band positioning system has been completed.