In this study, we consider the joint design of a multiple-input multiple-output communication system and a surveillance radar sharing the same bandwidth. The degrees of freedom for system optimization are the transmit powers of both systems, the space-time linear communication codebook, and the radar receive filters. In this framework, we maximize the mutual information at the communication system under a constraint on the minimum signal-to-disturbance ratio for each inspected range-azimuth resolution cell of the radar. An approximate solution to this optimization problem is found using a block coordinate ascent method, and a numerical example is provided to show the merits of the proposed design.

Spectrum-Sharing between a Surveillance Radar and a MIMO Communication System in Cluttered Environments / Grossi, E.; Lops, M.; Venturino, L.. - (2019), pp. 371-375. (Intervento presentato al convegno 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 tenutosi a Guadeloupe nel 2019) [10.1109/CAMSAP45676.2019.9022484].

Spectrum-Sharing between a Surveillance Radar and a MIMO Communication System in Cluttered Environments

Lops M.
;
Venturino L.
2019

Abstract

In this study, we consider the joint design of a multiple-input multiple-output communication system and a surveillance radar sharing the same bandwidth. The degrees of freedom for system optimization are the transmit powers of both systems, the space-time linear communication codebook, and the radar receive filters. In this framework, we maximize the mutual information at the communication system under a constraint on the minimum signal-to-disturbance ratio for each inspected range-azimuth resolution cell of the radar. An approximate solution to this optimization problem is found using a block coordinate ascent method, and a numerical example is provided to show the merits of the proposed design.
2019
978-1-7281-5549-4
Spectrum-Sharing between a Surveillance Radar and a MIMO Communication System in Cluttered Environments / Grossi, E.; Lops, M.; Venturino, L.. - (2019), pp. 371-375. (Intervento presentato al convegno 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 tenutosi a Guadeloupe nel 2019) [10.1109/CAMSAP45676.2019.9022484].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/809721
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