Research On The Layout And Power Control Method Of Common-Band Location Nodes In Complex Environment

In today’s era,5G technology is fully popularized,and communication technology has developed quite maturely,but how to achieve highprecision location services within limited frequency band resources without interfering with communication services is a very important topic,and the implicit common-band signal system based on 5G network has become a hot spot in research with its advantage of not occupying independent frequency band resources.In order to improve the positioning accuracy of indoor and outdoor scenes in the common band system area,it is of great theoretical and practical significance to study how to determine the layout scheme of indoor positioning nodes in the common band and the power control scheme of outdoor networking.The results of this paper are as follows:1.In response to the fact that signal propagation in complex indoor environments is susceptible to interference from walls and other obstructions,resulting in severe multipath effects that have a serious impact on the positioning and communication performance of common frequency band signals,this paper proposes a layout plan for common frequency band indoor positioning nodes to optimize the layout of indoor antenna nodes in common frequency band base stations to improve the accuracy of positioning and communication.In indoor scenarios,the common band base station broadcasts the common band signal through a feed line connected to the ceiling antenna.Therefore,solving the positioning node layout plan is to determine the antenna node layout plan.Firstly,the formula for evaluating the performance of positioning and communication is derived.By modeling complex indoor scenes and simulating the propagation path,amplitude,phase,and other parameters of the signal using ray tracing method,the data required for algorithm iteration is obtained.By using an improved multi-objective optimization whale algorithm to optimize the layout position of indoor antenna nodes in co band positioning,the Pareto optimal solution is obtained.The simulation results show that the average positioning error of the indoor antenna node layout algorithm proposed in this paper is 0.86m,and the AGDOP value is 0.88.Compared with the NSGA-Ⅱ algorithm,the positioning error decreases by 0.23m,the AGDOP value decreases by 0.35,the positioning error decreases by 0.27m,the AGDOP value decreases by 0.54,and the AGDOP value decreases by 0.5m,and the AGDOP value decreases by 0.77 compared with the multi-objective optimization particle swarm optimization algorithm.This proves that the method proposed in this article reduces the impact of complex indoor environments on positioning performance while ensuring communication performance.2.A common frequency band positioning outdoor networking power control scheme is proposed to address the problem of severe signal power attenuation caused by long signal propagation distance and transmission reflection caused by building wall obstruction in outdoor scenes.For a common band base station,the positioning signal is embedded in the communication signal,and the common band signal is broadcasted by high-power outdoor communication antennas.Therefore,it is necessary to first study the communication signal generation unit and its antenna placement position.By comparing several geometric configurations of the communication base station and calculating the GDOP value of the positioning base station under these geometric configurations,it is determined that the cellular layout mode is the optimal base station layout.After completing the layout research of the base station,research will be conducted on the power control methods of the base station.As a common frequency band system,power control needs to balance positioning performance and communication performance.The average squared positioning error margin(WSPEB)is selected as the evaluation index for positioning performance,and RSRP is used as the evaluation index for communication performance.To solve the multi-objective optimization problem mentioned above,the two indicators are used as the objective functions for improving the multi-objective optimization grey wolf algorithm,and the Pareto surface is obtained,Select several possible Pareto solutions on the Pareto surface as one of the power allocation schemes.The simulation results show that the WSPEB value obtained by the power control scheme proposed in this paper is 0.28,with an average positioning error of approximately 0.76m.The proportion of points with higher RSRP values to all sampling points is 95.1%.Compared to the ideal point method,the WSPEB value decreased by 0.07,the average positioning error decreased by 0.18 meters,and the proportion of points with higher RSRP values in all sampling points increased by 1.5%.Compared to the interior point method,the WSPEB value decreased by 0.1,the average positioning error decreased by 0.22m,and the proportion of points with higher RSRP values in all signal sampling points increased by 2.3%.Compared to the original power control scheme,the WSPEB value decreased by 0.14,the average positioning error decreased by 0.4m,and the proportion of points with higher RSRP values in all sampling points increased by 3.3%.It has been proven that the power control scheme proposed in this article can achieve high positioning accuracy while ensuring communication performance.3.Designed and built a common frequency band experimental verification platform using FPGA+AD9361 architecture.The test results show that the average positioning error of the proposed indoor positioning node layout scheme is 0.85m,and the communication signal coverage is 93.8%.Compared with NSGA-Ⅱ,multi-objective optimization particle swarm optimization algorithm and multi-objective optimization Firefly algorithm,the average positioning error is reduced by 0.19m,0.26m and 0.48m,and the communication signal coverage is increased by 2.9%,5.1%and 8%,respectively.The average positioning error of the co band positioning outdoor networking and power control scheme proposed in this article is 0.71m,and the proportion of points with higher RSRP values to all sampling points is 96.2%.Compared with the ideal point method,the average positioning error of the interior point method and the original power control scheme has decreased by 0.18m,0.25m,and 0.41m,respectively.The proportion of points with higher RSRP values to all sampling points has increased by 4%,5.9%,and 6.5%,respectively.The overall test results are basically consistent with the simulation experiment.In summary,in response to the urgent demand for high-precision indoor and outdoor positioning by users,this article proposes a common frequency band indoor positioning node layout scheme and an outdoor networking power control scheme,which improves the positioning and communication performance of the network in indoor and outdoor environments.The research in this article provides a theoretical basis for the construction of indoor and outdoor positioning networks in a common frequency band system,and has important guiding significance for the optimization design of the common frequency band positioning network.