Research On Moving Target Localization Model In Complex Indoor Environment

With the comprehensive development of China’s urbanization process,a variety of large public facilities are increasing,and providing fast and accurate indoor target positioning service support is the practical demand for the effective use of these large buildings.Compared with the outdoor environment,the indoor environment is much more complex.The layout and structure of buildings,composition materials,temperature,humidity and other environmental factors will affect the effect of indoor positioning;The indoor environment is relatively small,and the actual application requires high positioning accuracy;In addition,because the pattern and target state of the indoor environment are easy to change frequently,it is required that the positioning technology must have the ability to resist the interference of environmental changes and the corresponding self-regulation or adaptability to ensure the timeliness and availability of the positioning results.The problem of indoor target positioning is very challenging,and the indoor target positioning technology has great research value and market demand.This paper studies the indoor mobile target location model based on RSSI ranging.The model is divided into two modules: RSSI ranging and target location calculation.The corresponding processing strategies are proposed respectively.The algorithm is studied in depth using the research method of theoretical analysis and simulation experiments.The main contributions of this paper are as follows:(1)In the RSSI ranging module,a strategy of introducing an artificial neural network to establish a ranging model is proposed to realize the real-time conversion between the RSSI value and the range value.This strategy can improve the dependence of the RSSI ranging model on environmental parameters,which is the innovation of this research at the level of indoor RSSI accurate ranging methods.(2)In the target location calculation module,it is proposed to model the location problem as a problem of finding the optimal solution of nonlinear equations,and introduce swarm intelligence algorithm to solve it.This strategy can obtain the optimal value of the target location,which is the innovation of this study in the level of location algorithm modeling.(3)A parking lot target positioning prototype system is designed and implemented,which can simulate the process of RSSI ranging model establishment and target positioning,and has a good supporting effect for scientific research.The research results of this paper can provide method selection and strategy guidance for indoor mobile target location based on RSSI ranging,and have considerable practical value.