2021
Benavoli, Alessio; Balleri, Alessio; Farina, Alfonso
Joint Waveform and Guidance Control Optimization by Statistical Linearisation for Target Rendezvous Conference
IEEE Radar Conference 2021, May 8-14, Atlanta (USA), 2021.
Abstract | Links | BibTeX | Tags: Cognitive radar, radar tracking
@conference{Benavoli2021d,
title = {Joint Waveform and Guidance Control Optimization by Statistical Linearisation for Target Rendezvous},
author = {Alessio Benavoli and Alessio Balleri and Alfonso Farina},
url = {http://alessiobenavoli.com/wp-content/uploads/2021/05/ieee_radarconf_21.pdf},
year = {2021},
date = {2021-05-18},
booktitle = { IEEE Radar Conference 2021, May 8-14, Atlanta (USA)},
abstract = {The algorithm proposed in this paper jointly selects the transmitted waveform and the control input
so that a radar sensor on a moving platform can prosecute a target by minimising a predefined cost
that accounts for the energy of the transmitted radar signal, the energy of the platform control input
and the relative position error between the platform and the target. The cost is a function of the
waveform design and control input. The algorithm extends the existing Joint Waveform Guidance
and Control Optimisation (JWGCO) solution to non-linear equations to account for the dependency
of the radar measurement accuracies on Signal to Noise Ratio (SNR) ratio and, as a consequence,
the target position. The performance of the proposed solution based on statistical linearisation
is assessed with a set of simulations for a pulsed Doppler radar transmitting linearly frequency
modulated chirps.},
keywords = {Cognitive radar, radar tracking},
pubstate = {published},
tppubtype = {conference}
}
The algorithm proposed in this paper jointly selects the transmitted waveform and the control input
so that a radar sensor on a moving platform can prosecute a target by minimising a predefined cost
that accounts for the energy of the transmitted radar signal, the energy of the platform control input
and the relative position error between the platform and the target. The cost is a function of the
waveform design and control input. The algorithm extends the existing Joint Waveform Guidance
and Control Optimisation (JWGCO) solution to non-linear equations to account for the dependency
of the radar measurement accuracies on Signal to Noise Ratio (SNR) ratio and, as a consequence,
the target position. The performance of the proposed solution based on statistical linearisation
is assessed with a set of simulations for a pulsed Doppler radar transmitting linearly frequency
modulated chirps.
so that a radar sensor on a moving platform can prosecute a target by minimising a predefined cost
that accounts for the energy of the transmitted radar signal, the energy of the platform control input
and the relative position error between the platform and the target. The cost is a function of the
waveform design and control input. The algorithm extends the existing Joint Waveform Guidance
and Control Optimisation (JWGCO) solution to non-linear equations to account for the dependency
of the radar measurement accuracies on Signal to Noise Ratio (SNR) ratio and, as a consequence,
the target position. The performance of the proposed solution based on statistical linearisation
is assessed with a set of simulations for a pulsed Doppler radar transmitting linearly frequency
modulated chirps.
2017
Baller, Alessio; Benavoli, Alessio; Farina, Alfonso
Coordination of Guidance and Adaptive Radiated Waveform for Interception and Rendezvous Problems Conference
18th International Radar Symposium (IRS 2017), Prague, Czech Republic, 28-30 June, 2017.
BibTeX | Tags: radar tracking
@conference{Baller2017,
title = {Coordination of Guidance and Adaptive Radiated Waveform for Interception and Rendezvous Problems},
author = {Baller, Alessio and Benavoli, Alessio and Farina, Alfonso},
year = {2017},
date = {2017-06-29},
booktitle = {18th International Radar Symposium (IRS 2017), Prague, Czech Republic, 28-30 June},
keywords = {radar tracking},
pubstate = {published},
tppubtype = {conference}
}
Balleri, A.; Farina, A.; Benavoli, A.
In: A. Balleri, Griffiths (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.