UKF-based underground intrusion localization algorithm for optical-fibre sensing perimeter protection
Hua Zhang1, Xiaoping Jiang1, Chenghua Li1
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(3) 33-38
1 College of Electronics and Information Engineering, Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, 182 Minzu Road, Wuhan, Hubei, China
To improve the precision of the underground intrusion localization in the optical-fibre sensing perimeter protection application, an intrusion localization algorithm based on the Unscented Kalman Filter (UKF) is presented. The geometrical relationships of the sensors and the intruder are analysed and the state equation and the measurement model are deduced. Then the UKF algorithm is used to estimate and track the location of the intruder. The simulations demonstrate that the algorithm improves the intrusion localization precision and the intruder can be tracked even if no enough sensors detect the intrusion signal.