RSS-Based Localization in Obstructed Environment with Unknown Path Loss Exponent

Abstract

Received Signal Strength (RSS)-based ranging techniques have recently attracted a lot of attention because of their advantages in terms of low cost and easy implementation. The received signal strength highly depends on the path loss effect of radio wave propagation. When there is obstruction between transmitter and receiver, the signal power can drop significantly on the corresponding obstructed link, which degrades the accuracy of distance estimation. In this paper, we propose a novel RSS-based localization algorithm in obstructed environments with unknown Path Loss Exponent (PLE) based on Maximum Likelihood Estimation (MLE). The proposed algorithm canautomatically detect the obstructed links between transmitter and receiver, and reduce the localization error caused by obstruction effect. According to the simulation results, our proposed method shows higher localization accuracy in obstructed environments as compared to other existing schemes.

A Review of Underwater Localization Techniques, Algorithms, and Challenges

“…The signal power obtained mostly depends on the radio wave propagation path loss impact. If there is an obstacle between the sources of transmitter and receiver, the signal power can fall considerably on the respective obstructed connection, which is degrading the range estimate for precision [89,90]. The author has suggested an RSS-based localization algorithm based on Maximum Likelihood Estimation (MLE) for obstructed fields with unknown Path Loss Exponent (PLE).…”