Astudy Of Indoor Positioning Algorithms Based On RSSI

In the modern times,with the rapid development of wireless communication technology,the fullcoverage of Wireless positioning technology has brought much convenience to our social life inthe outdoor environment,even promoting a new round of reform in all all aspects of life andproduction. Global Positioning System has highlighted its unique advantages in so manyfields,such as route planning, vehicle navigation and real-time rescue.But GPS is more used inoutdoor environment,for complex indoor environment,GPS technology has great limitations.Inorder to realize the demand of indoor and outdoor seamless positioning for people,indoorpositioningtechnology has been get rapid development and wide application. Due to thespecialcomplexity characteristics of indoor space environment,such as with largedisturbance,reflection, diffractionand scattering caused bymultipath effect,and other factors,suchas indoor personnel frequently and no rule walking,and electromagnetic devices interference,Signal fading phenomenon is very serious. If you want to achieve real-time and precision indoorpositioning, the coefficient of difficulty is relatively large.So,how to properly solve thecomplexindoorenvironment and human factors for indoor positioning so as to obtain the unknown object orperson’s location is the the key problem and difficuity.And it has very important practicalsignificance for improving the indoorpositioning technology and localization accuracy.In order to solve the above problems, based on the deep analysis and studyrelatedtechnology,such as Received Signal Strength Indictor(RSSI) ranging technology and classicallocalization algorithm,the paper proposesWeighted Multi-Centroid Algorithm. The algorithm is animprovement on the Weighted Centroid Algorithm,it has the advantages of centroid localizationalgorithm and RSSI ranging technology,having two kinds of characteristics of good adaptabilityand high positioning accuracy.Firstly, the wireless signal path losspropagation of the simplifiedmodel is improved,using the least squares fitting methodto determine the model parameters,A andn;In order to solve the noise signal, using filtering algorithm based on constant velocity to processRSSI data,getting close to the theory RSSI value and further improve the positioningaccuracy.Finaly, the simulation experiment.Getting the error statistical comparison data in thedifferent simulation conditions and the actual comparison chart of two different localizationalgorithm. The simulation results show that,compared with the originalWeighted CentroidAlgorithm, WMCAalgorithm has positioning accuracy.