A new broadband electromagnetic induction (EMI) array sensor, GEM-5, for detecting and characterizing Unexploded Ordnance (UXO) has been developed in order to provide high production rates for EMI surveys. The sensor consists of a single rectangular loop transmitter around a linear array of seven pairs of coaxial receiver coils, with each coil in a pair located at the same vertical distance above and below the loop transmitter. The coil pairs are wired in an inverted series so that the signal consists of the difference between the voltage induced in the upper and lower coils. This particular configuration provides a high degree of primary field cancellation, dense spatial sampling rate due to simultaneous and continuous operation of all sensors, suppression of motion-induced and environmental noise, and strong source fields at typical UXO burial depths providing deep detection range. Our prototype tests indicate that the array yields a lower static and motion-induced noise over the critical low frequencies than that of existing sensors, and in particular, the signal-to-noise ratio at 90 Hz is 32 dB higher. Environmental noise can be largely removed from the difference measurements. The field test results from UXO test sites show that the prototype sensor has smoother background and appears to detect more seeded targets than the GEM-3 concentric sensor, however some of that gain can be attributed to higher power transmitter electronics.
[2]
Thomas H. Bell,et al.
Characterization of a GEM-3 array for UXO classification
,
2003,
SPIE Defense + Commercial Sensing.
[3]
I. J. Won,et al.
GEM-2A: A programmable broadband helicopter-towed electromagnetic sensor
,
2003
.
[4]
Jan Larsen,et al.
A comparative and combined study of EMIS and GPR detectors by the use of independent component analysis
,
2005,
SPIE Defense + Commercial Sensing.
[5]
I. J. Won,et al.
GEM‐3: A Monostatic Broadband Electromagnetic Induction Sensor
,
1997
.
[6]
I. J. Won,et al.
Planetary exploration using a small electromagnetic sensor
,
2005,
IEEE Transactions on Geoscience and Remote Sensing.
[7]
Bruce Barrow,et al.
Model-based characterization of electromagnetic induction signatures obtained with the MTADS electromagnetic array
,
2001,
IEEE Trans. Geosci. Remote. Sens..
[9]
D. Sattel,et al.
The feasibility of electromagnetic gradiometer measurements
,
2001
.
[10]
I. J. Won,et al.
Automated anomaly picking from broadband electromagnetic data in an unexploded ordnance (UXO) survey
,
2003
.