Research on ultra-wideband (UWB) indoor accurate positioning technology under signal interference

Authors:
Publisher website
Google Scholar
Abstract
At present, there have been many researches on indoor location, but due to the weak signal penetration ability in distance-based measurement, it is very easy to be blocked by obstacles, so the accuracy of location will be greatly affected in complex environments. In this paper, the problem of ultra wideband indoor precise positioning under signal interference is studied in order to improve the indoor positioning accuracy of the model under complex conditions and ensure its anti-interference. Firstly, data cleaning is performed, the missing data group is filled or deleted by using the traditional data preprocessing method, and the filtering technology is used to identify and delete outliers. Secondly, the positioning model is established, the distance between the target and the anchor is calculated by using the ranging principle based on the time of flight(TOF), and the genetic algorithm is used for optimization operation to find the target coordinates that meet the minimum absolute value difference between the distance from the target to each anchor and the actual value, so as to continuously train the positioning model. In addition, since UWB(ultra-wideband) technology is unknown whether there is signal interference in the collected data, the classification model is established by the method of amplifying the influence of outliers by means of average, which improves the accuracy of the model in judging whether there is signal interference. Thus, the positioning accuracy of the positioning model in complex situations is increased, the anti-interference of the data is improved, and the accurate positioning of the motion trajectory is realized.

This publication has 20 references indexed in Scilit: