Title :
Classification of landmine-like metal targets using wideband electromagnetic induction
Author :
Ping Gao ; Collins, Leslie ; Geng, Norbert ; Carin, Lawrence ; Keiswette, Dean ; Won, I.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
Abstract :
Our previous work has indicated that the careful application of signal detection theory can dramatically improve detectability of landmines using time-domain electromagnetic induction (EMI) data. In this paper, classification of various metal targets via signal detection theory is investigated using a prototype wideband frequency-domain EMI sensor. An algorithm that incorporates both the uncertainties regarding the target-sensor orientation and a theoretical model of the response of such a sensor is developed. The performance of this approach is evaluated using both simulated and experimental data. The results show that this approach affords substantial classification performance gains over the traditional matched filter approach, on average by 60%
Keywords :
buried object detection; electric sensing devices; electromagnetic induction; electromagnetic interference; magnetic sensors; metals; signal classification; signal detection; classification performance; experimental data; landmine-like metal targets classification; matched filter; signal detection theory; simulated data; target-sensor orientation; time-domain EMI data; uncertainties; wideband electromagnetic induction; wideband frequency-domain EMI sensor; Electromagnetic induction; Electromagnetic interference; Landmine detection; Matched filters; Performance gain; Prototypes; Signal detection; Time domain analysis; Uncertainty; Wideband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.758404
