Suitable strategies to exploit polarimetric diversity have been proved to be able to enhance the target detection capability of passive radar (or passive coherent location - PCL) systems. In this work, the authors describe a novel polarimetric adaptive detection scheme, based on a two-dimensional autoregressive model for the disturbance. The effectiveness of the proposed strategy is shown against experimental data collected by means of a FM radio based multi-channel PCL prototype. The obtained results are also compared with alternative polarimetric detection schemes in order to provide a first insight into the benefits of the newly proposed solution

Polarimetric detection scheme for passive radar based on a 2D auto-regressive disturbance model / Filippini, Francesca; Colone, Fabiola. - (2019). (Intervento presentato al convegno 2019 International Radar Conference (RADAR) tenutosi a Toulon, France) [10.1109/RADAR41533.2019.171366].

Polarimetric detection scheme for passive radar based on a 2D auto-regressive disturbance model

Filippini, Francesca;Colone, Fabiola
2019

Abstract

Suitable strategies to exploit polarimetric diversity have been proved to be able to enhance the target detection capability of passive radar (or passive coherent location - PCL) systems. In this work, the authors describe a novel polarimetric adaptive detection scheme, based on a two-dimensional autoregressive model for the disturbance. The effectiveness of the proposed strategy is shown against experimental data collected by means of a FM radio based multi-channel PCL prototype. The obtained results are also compared with alternative polarimetric detection schemes in order to provide a first insight into the benefits of the newly proposed solution
2019
2019 International Radar Conference (RADAR)
passive radar; target detection; polarimetric diversity; FM radio signals; two-dimensional auto-regressive model
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Polarimetric detection scheme for passive radar based on a 2D auto-regressive disturbance model / Filippini, Francesca; Colone, Fabiola. - (2019). (Intervento presentato al convegno 2019 International Radar Conference (RADAR) tenutosi a Toulon, France) [10.1109/RADAR41533.2019.171366].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1340830
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