In this paper, we propose a novel algorithm based on fast block LMS (least mean square) adaptive filter, called RD-FBLMS (range-Doppler fast block LMS) for direct path and multipath interferences cancellation in DVB-T (digital video broadcasting—terrestrial) passive bistatic radars (PBRs). These interferences represent some of the major problems in PBR systems, generated by signals received from the illuminator of opportunity and their multiple reflections through the surveillance channel, which is only dedicated to receive targets echoes. It is known that classical adaptive filtering can only be used for cancellation of zero Doppler interferences. Based on successive reference signal modulations and suppressions of nonzero Doppler multipath interferences, the RD-FBLMS algorithm exhibits a faster convergence rate, a shorter processing time and a better cross-ambiguity function than well-known existing algorithms.

Range-Doppler Fast Block LMS algorithm for a DVB-T-based Passive Bistatic Radar

Gini F.
Penultimo
Membro del Collaboration Group
;
Greco M.
Ultimo
Membro del Collaboration Group
2018-01-01

Abstract

In this paper, we propose a novel algorithm based on fast block LMS (least mean square) adaptive filter, called RD-FBLMS (range-Doppler fast block LMS) for direct path and multipath interferences cancellation in DVB-T (digital video broadcasting—terrestrial) passive bistatic radars (PBRs). These interferences represent some of the major problems in PBR systems, generated by signals received from the illuminator of opportunity and their multiple reflections through the surveillance channel, which is only dedicated to receive targets echoes. It is known that classical adaptive filtering can only be used for cancellation of zero Doppler interferences. Based on successive reference signal modulations and suppressions of nonzero Doppler multipath interferences, the RD-FBLMS algorithm exhibits a faster convergence rate, a shorter processing time and a better cross-ambiguity function than well-known existing algorithms.
2018
Attalah, M. A.; Laroussi, T.; Gini, F.; Greco, M.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/939406
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 12
social impact