Ultra-short-pulse acoustic imaging using complex-valued spatio-temporal neural-network for null-steering: Experimental results

This paper reports experimental results of a wideband acoustic imaging method based on power-inversion adaptive array (PIAA) scheme realized by a complex-valued spatio-temporal neural network (CVSTNN). For acoustic imaging with a high resolution in the range direction (direction of propagation), used pulse should be short. A short pulse has a wide frequency band, which is also favorable for avoidance of target breaking through acoustic resonance. However, because of the wide bandwidth, conventional adaptive arrays often fail in beamforming or null steering. We combine a CVSTNN and PIAA to realize a precise null steering. Experiments demonstrate that the CVSTNN-PIAA method presents a higher resolution than conventional methods.