Abstract
Some properties of biological sonar systems are reviewed along with corresponding signal processing techniques. Relevant target representations appear to involve time-frequency or range-Doppler distributions and their projections as well as images derived from echoes observed at different positions. Target recognition can occur v via association of echo features derived from such representations, e.g. by using spatially registered feature maps. Informative features can be obtainedfrom sequential estimation of a vision-like acoustic image, i.e. a high-resolution representation of target reflectivity as a function of azimuth, elevation, and range. Such an image can be obtained with a rotated wavelet (line segment) transform, which is a generalization of wavelet and Radon transforms.The rotated wavelet transform permits recursive delay-and-stun beamforming with a sparsely sampled synthetic aperture constructed with a moving multibeam sonar system. The basis functions for the transform are rotated space-time transmission patterns similar to those used by echolocating dolphins.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
