u-DSLT : A Tag-less Location Tracking System using Radar Doppler Sensor for Dangerous Situation Recognition in Wireless Sensor Networks
Seung-Jin Moon, Hong‐Kyu Kim · 2011
In case of location tracking and recognition of dangerous situations based on voice information, TDOA (Time Difference of Arrival) technique, using CPSP (Cross Power Spectrum Phase) which is a typical established algorithms about the location tracking of speaker's, is only practicable to estimate real-time locations when it receives voice information continuously. But where there is no continuous voice information available, TDOA technique to track a moving object becomes useless because there exist no coordinates. In this paper, we proposed a system (u-DSLT), which recognizes dangerous situations based on voice information first, then is able to track the moving object reliably using TODA technique with doppler radar sensors even if voice information is no longer available. u -DSLT, which is a system based on the sensor networks, tracks on the location of a human object who is in a dangerous situation. It can perform its real-time tracking of the object with no tag attached by adopting the doppler radar sensors. u-DSLT makes it possible to track a object which does not carry a tag by using doppler radar sensors which overcomes the distortion of signal due to obstacles. In order to validate the effectiveness of the proposed system, we integrate speech recognition and doppler radar sensors into a single sensor network system and carry out simulation works. And the result shows the proposed system is capable of tracking the objects continuously in the absence of tag.