Autors: Georgiev, K. K., Balleri, A., Stove, A., Holderied, M.W.
Title: Bio-inspired processing of radar target echoes
Keywords: matched filters;signal resolution;sonar signal processing;radio frequencies;range resolution;closely spaced scatterers;BSCT;baseband SCAT;target echoes analysis;baseband receiver;broadband signals;bat auditory system;SCAT receiver;spectrogram correlation and transformation receiver;synthetic sensors;bat signal processing;biological sonar;target detection;echolocating bats;radar target echoes;bio-inspired processing

Abstract: Echolocating bats have evolved the ability to detect, resolve and discriminate targets in highly challenging environments using biological sonar. The way bats process signals in the receiving auditory system is not the same as that of radar and sonar and hence investigating differences and similarities might provide useful lessons to improve synthetic sensors. The Spectrogram Correlation And Transformation (SCAT) receiver is an existing model of the bat auditory system. In this study, the authors present a baseband receiver equivalent to the SCAT. The baseband SCAT (BSCT) is used to investigate the output of the bat-auditory model for two closely spaced scatterers. Results firstly show that the BSCT provides improved resolution performance relative to the conventional matched filter. It is then demonstrated that the output of the BSCT can be obtained with an equivalent matched-filter based receiver. The results are verified with a set of laboratory experiments at radio frequencies.

References

    Issue

    IET Radar, Sonar and Navigation, vol. 12, issue 12, pp. 1402-1409, 2018, United Kingdom, IET, ISSN 1751-8784

    Copyright IET

    Цитирания (Citation/s):
    1. Ming, C., Bates, M. E., & Simmons, J. A. (2020). How frequency hopping suppresses pulse-echo ambiguity in bat biosonar. Proceedings of the National Academy of Sciences of the United States of America, 117(29), 17288-17295. doi:10.1073/pnas.2001105117 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Tanveer M.H., Wu X., Thomas A., Ming C., Müller R., et al. (2020) A simulation framework for bio-inspired sonar sensing with Unmanned Aerial Vehicles. PLOS ONE 15(11): e0241443. doi:10.1371/journal.pone.0241443 - 2020 - в издания, индексирани в Scopus или Web of Science
    3. Ming C, Haro S, Simmons AM, Simmons JA (2021) A comprehensive computational model of animal biosonar signal processing. PLOS Computational Biology 17(2): e1008677. https://doi.org/10.1371/journal.pcbi.1008677 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science