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UID:5489@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20130124T140000
DTEND;TZID=Europe/Paris:20130124T150000
DTSTAMP:20241028T215219Z
URL:https://www.i2m.univ-amu.fr/evenements/g-gassier-im2np-subspaces-metho
 ds-in-passive-radar/
SUMMARY: (...): G. Gassier (IM2NP): Subspaces methods in passive radar
DESCRIPTION:: Subspaces methods in passive radar.\nBy Ghislain Gassier\\\, 
 IM2NP.\nA bistatic passive Doppler radar system exploits already existing 
 RF transmitters (illuminators of opportunity) to detect and localize movin
 g targets. Our interest is focused on Digital Video Broadcasting-Terrestri
 al (DVB-T) signals which exhibit a wide bandwidth\\\, providing an interes
 t- ing resolution in terms of bistatic range.\nIn passive radar\\\, the ma
 in difficulty is to extract the moving target weak reflections masked by t
 he direct path signal and echoes from static reflec- tors (background clut
 ter) in the radar ambiguity diagram.\nIn this study\\\, we propose a new e
 fficient method to filter both the di- rect path signal and the static clu
 tter while preserving echoes from even slow-moving targets. Our method ful
 ly exploits the typical structure of DVB-T signals (Orthogonal Frequency D
 ivision Multiplexing modulation\\\, with pilots carriers and cyclic prefix
 ) allowing easy estimation of the frequency response of the propagation ch
 annel. Noting that\\\, over a relatively large observation time\\\, the fr
 equency response of the propagation channel due to the unwanted signals (r
 esp. to the Doppler echoes) is stationary (resp. unstationary and zero-mea
 n)\\\, one can estimate the channel response due to the unwanted signals t
 hrough time-averaging over multiple shorter time-blocks. From this channel
  response estimation\\\, the direct path signal and the clutter signal are
  then synthesized and removed from the received signal.\nSimulation and ex
 perimental results validate the proposed method.\nAt the end\\\, I will ex
 pose a prospective approach based on sparse repre- sentation of autocorrel
 ation RADAR signals.
CATEGORIES:Séminaire,Signal et Apprentissage
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