Research on model of indoor distance measurement based on receiving signal strength

Abstract

Distance measurement based on RSSI is a low-cost and low complexity of the distance measurement technique, and it is widely applied in the range-based localization of the Wireless Sensor Networks. Because t there is a non line of sight and multipath transmission effects as the indoor environment, the ranging error is relatively large. In the method of eliminating ranging error, using linear regression analysis of the RF signal transmission parameters A and n to optimize the constants obtains to meet specific environmental parameters. Proposed two kinds of filtering model for filtering collected RSSI. As the experimental results show, ranging error has been significantly improved through the parameter optimization and filtering processing.