Improvement And Implementation Of An Key Algorithm For Indoor Wireless Location

With the development of society rapidly,people's life and work is increasingly dependent on location technology.The typical outdoor positioning technology can get a better positioning accuracy,such as GPS positioning technology.But it's signals will be easily affected by the weather and other external factors,and has a poor performance of penetration.Therefore,in order to realize accurate indoor positioning also need other feasible scheme.Because,the indoor positioning technology is on research and become one of the most hot-point these years.Among them,the wireless location positioning technology due to its non-contact,non line-of-sight,transmission range,high performance and cheap price get the favor of people.Based on this,studied and analysis the indoor wireless location technology.Firstly,analyzed the researching background and the demand of wireless location technology,and introduces the basic situation and the application situation of the positioning technology at in domestic and abroad,with the current development of positioning technology,introduce the mainstream wireless location technology simply,then analyses the working principle,job structure and methods of wireless positioning technology we research,also the factors affecting the accuracy of positioning is analyzed,and given some evaluation criteria for positioning information parameter.The common algorithm's analysis.Deeply analysis and experiment simulation on LADNMARC and VIRE.Judge the algorithm's performance compared by Root mean square error.According to the result of simulation,the VIRE has the better adaptive compared to LANDMARC.The analysis of improvement algorithm.For the shortcomings of VIRE.Improve the VIRE algorithm by.The least squares support vector machine,Monte Carlo simulation and The RBF neural network.The improvement of algorithm improve the 27% precision compared to traditional algorithm by simulation.The scaffolding of the experimental platform.The improvement algorithm was analyzed based on the design of the system.According to the measured data,the improvement algorithm improve the 18% precision compared the traditional algorithm.