Influence of denoising of input signal on classification of object location by artificial neural network in ultrawideband radiointroscopy
Journal: Visnyk of V N Karazin Kharkiv National University series “Radio Physics and Electronics”
Year: 2019

Background: A wide usage of impulse ultrawideband subsurface radars for a number of practical approaches in archeology, construction and humanitarian demining is holding back because of presence of noises and clutters of high level in the reflected field. It often makes the object classification practically unreal for at not big depths and distances from receiving and transmitting antennas. Besides of using special antenna system designs to improve recognition results, it is interesting to apply