Biologically-Inspired Radar and Sonar

Dr Alessio Balleri is a Senior Lecturer with Cranfield University at the Defence Academy of the United Kingdom, Shrivenham. His research interests include radar and sonar system design, biologically inspired radar and sonar systems, radar and sonar target classification, target feature extraction and modelling of radar clutter.Professor Hugh Griffiths holds the THALES/Royal Academy of Engineering Chair of RF Sensors at University College London. His research interests include radar sensor systems and signal processing as well as antennas and antenna measurement techniques. He has published over 500 papers and technical articles on these subjects. Professor Griffiths received the IET A F Harvey Research Prize in 2012 and the IEEE Picard Medal in 2017. He is Editor-in-Chief of the journal IET Radar, Sonar and Navigation.Professor Chris Baker is Chief Technology Officer for Aveillant. He has been actively engaged in radar systems research since 1984 and is the author of over 250 publications in this field. He has won numerous awards for his research. Professor Baker has many collaborations with industry, government and academia and is a visiting Professor at, Ohio State University, UCL, Cranfield University, the University of Cape Town, Wright State University, Strathclyde University and Birmingham University and is a fellow of the IET and IEEE.

• Chapter 1: IntroductionChapter 2: Biosonar-inspired signal processing and acoustic imagine from echolocating batsChapter 3: Enhanced range resolution: comparison with the matched filterChapter 4: Air-coupled sonar systems inspired by bat echolocationChapter 5: Analysis of acoustic echoes from bat-pollinated plantsChapter 6: The biosonar arms race between bats and insectsChapter 7: Biologically-inspired coordination of guidance and adaptive radiated waveform for interception and rendezvous problemsChapter 8: Cognitive sensor/ processor system framework for target trackingChapter 9: The biosonar of the Mediterranean Bottlenose dolphins: analysis and modeling of echolocation signalsChapter 10: Human echolocation - spatial resolution and signal propertiesChapter 11: Polarization tensors and object recognition in weakly electric fish