2017
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Balleri, A; Farina, A; Benavoli, A Biologically-inspired coordination of guidance and adaptive radiated waveform for interception and rendezvous problems Book Chapter Balleri A., Griffiths Baker H C (Ed.): pp. 137-154, in 'Biologically-Inspired Radar and Sonar: Lessons from nature.' Institution of Engineering and Technology, 2017. Abstract | Links | BibTeX | Tags: biologically inspired, radar tracking @inbook{benavoli2017n,
title = {Biologically-inspired coordination of guidance and adaptive radiated waveform for interception and rendezvous problems},
author = {Balleri, A. and Farina, A. and Benavoli , A.},
editor = {Balleri, A., Griffiths, H., Baker, C.},
url = {http://digital-library.theiet.org/content/books/10.1049/sbra514e_ch7},
doi = {10.1049/SBRA514E_ch7},
year = {2017},
date = {2017-01-01},
pages = {137-154},
publisher = {in 'Biologically-Inspired Radar and Sonar: Lessons from nature.' Institution of Engineering and Technology},
series = {Radar, Sonar and Navigation},
abstract = {In this chapter, we take inspiration from the bat and develop an algorithm that guides an airborne radar interceptor towards a target by jointly developing an optimal guidance and automatically adapting and optimising the transmitted waveform on a pulse-to-pulse basis. The algorithm uses a Kalman filter to predict the relative position and speed of the interceptor with respect to the target.},
keywords = {biologically inspired, radar tracking},
pubstate = {published},
tppubtype = {inbook}
}
In this chapter, we take inspiration from the bat and develop an algorithm that guides an airborne radar interceptor towards a target by jointly developing an optimal guidance and automatically adapting and optimising the transmitted waveform on a pulse-to-pulse basis. The algorithm uses a Kalman filter to predict the relative position and speed of the interceptor with respect to the target. |