Improving BEM channel estimation for airborne passive radar reference signal reconstruction
Autor: | Olivier Rabaste, Agnes Santori, Marc Lesturgie, Clement Berthillot, Dominique Poullin |
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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: |
Signal reconstruction
Computer science 020208 electrical & electronic engineering Single-frequency network 020206 networking & telecommunications 02 engineering and technology Passive radar Continuous-wave radar [SPI]Engineering Sciences [physics] [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism 0202 electrical engineering electronic engineering information engineering Electronic engineering Minimum description length Multipath propagation Decoding methods Computer Science::Information Theory Communication channel |
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 |
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