Enhanced fusion hybrid (FH+) architecture for indoor and outdoor victim localization

In this paper, we present a hybrid victim localization system for outdoor/indoor. The system combines radio signal sources of GPS, GSM, and Wi-Fi to enhance the localization accuracy. The proposed enhanced fusion hybrid (FH+) algorithms allow seamless automatic switching of radio signal sources according to the received signal strength. This is vital for search and rescue operation when the victim is moving from outdoor to indoor environment or vice versa. This modified hybrid algorithm essentially enables the signal source selections based on dynamic weightings and without changes to the existing infrastructures. The proposed adaptive signal thresholding (AST) algorithm can contribute to determine the acceptable signal threshold for indoor and outdoor environments. Simulation and tests results showed that the proposed enhanced fusion hybrid can provide highly accurate performance of 2m tolerance for both indoor and outdoor environments.