A new real-time location tracking techniques using Doppler radar and bio-sensors in WSN

Abstract

When recognizing the dangerous situations and performing the location tracking based on the voice information, the speaker's continuous voice information should be received to make the location estimation possible for TDOA (Time Difference Of Arrival) using CPSP (Cross Power Spectrum Phase), a typical existing algorithm for the speaker location estimation. If there is no voice information of the speaker, the continuous location tracking is not possible using TDOA technique, which is a disadvantage. In this paper, we proposed a system (u-DSLT) that enables reliable TDOA estimation even if the speaker's voice is disconnected, recognizing dangerous situations based on the voice information of the speaker and using the Doppler radar sensor for location tracking. In order to verify the validity of the proposed system, the dangerous situation recognition sensors for voice recognition analysis and Doppler radar sensors are integrated into a single sensor network environment. As the results of the comparison experiments for the system applied in the real environment, we verified that the proposed system can perform continuous location tracking for the tag-less object in the dangerous situations.