Improving BEM channel estimation for airborne passive radar reference signal reconstruction

Autor: Olivier Rabaste, Agnes Santori, Marc Lesturgie, Clement Berthillot, Dominique Poullin
Přispěvatelé: Sondra, CentraleSupélec, Université Paris-Saclay (COmUE) (SONDRA), ONERA-CentraleSupélec-Université Paris Saclay (COmUE), Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (IM2NP), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), ONERA - The French Aerospace Lab [Palaiseau], ONERA-Université Paris Saclay (COmUE), Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Rok vydání: 2015
Předmět:
Zdroj: Radar Symposium (IRS), 2015 16th International
2015 16th International Radar Symposium (IRS 2015)
2015 16th International Radar Symposium (IRS 2015), Jun 2015, Dresde, Germany. pp 77-82, ⟨10.1109/IRS.2015.7226351⟩
DOI: 10.1109/irs.2015.7226351
Popis: International audience; In this article, we consider an airborne passive radar using ODFM signals of opportunity in a Single Frequency Network (SFN) environment. The long and sparse multipath fading channel and the mobility of the receiver can deeply alterate the signal and therefore degrade the decoding processing. Classic methods experience difficulties in dealing with such channel impacts. Consequently we present a Basis Expansion Model (BEM) based channel estimation method. We also propose to combine it with the Minimum Description Length (MDL) and ESPRIT algorithms to get a prior information. Simulation results emphasize the benefits of using the BEM and confirm the necessity to have an a priori knowledge of the channel.
Databáze: OpenAIRE