Title :
Through-the-wall location of a pulsed EM-source by using Artificial Neural Network: Preliminary results
Author :
Caorsi, Salvatore ; Lenzi, Claudio ; Viero, Paolo
Author_Institution :
Dept. of Ing. Ind. e dell´Inf., Univ. of Pavia, Pavia, Italy
Abstract :
Radiant EM source detection as found important application both in the civil and the military field. In the last few decades this issue has received particular attention and some techniques have been suggested. This paper presents an innovative approach to localize an EM pulsed source, operating beyond a wall. Such a technique is based on the processing, by means of Artificial Neural Networks (ANNs), of the TDOA and of the amplitudes detected by a small probe made up of 2 or 3 antennas placed at a small distance.
Keywords :
antennas; neural nets; radionavigation; signal detection; time-of-arrival estimation; ANN; TDOA; antennas; artificial neural network; pulsed EM-source; radiant EM source detection; through-the-wall location; Antenna measurements; Artificial neural networks; Probes; Receiving antennas; Training; Training data; Artificial Neural Network; EM source location; Through-the-wall EM-source detection;
Conference_Titel :
Microwave Symposium (MMS), 2014 14th Mediterranean
Print_ISBN :
978-1-4799-7390-3
DOI :
10.1109/MMS.2014.7088945
