Signal, Image and Video Processing

, Volume 13, Issue 1, pp 27–34 | Cite as

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

  • Mohamed Amine AttalahEmail author
  • Toufik Laroussi
  • Fulvio Gini
  • Maria Sabrina Greco
Original Paper


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.


Passive Bistatic Radar DVB-T signal DPI and MPI cancellation Adaptive filters Fast Block LMS 


  1. 1.
    Cherniakov, M.: Bistatic Radar: Emerging technology, S. (Ed.) Wiley, Hoboken, pp. 248–313 (2008)Google Scholar
  2. 2.
    Howland, P.E., Maksimiuk, D., Reitsma, G.: FM radio based bistatic radar. Radar Sonar Navig. 152(3), 107–115 (2005)CrossRefGoogle Scholar
  3. 3.
    Attalah, M.A., Laroussi, T., Aouane, A., Mehanaou, A.: Adaptive filters for direct path and multipath interference cancellation: application to FM-RTL-SDR based passive bistatic radar. In: International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), pp. 461-465 (2016)Google Scholar
  4. 4.
    Radmard, M., Bastani, M., Behnia, F., Nayebi, M.: Feasibility analysis of utilizing the 8k mode DVB-T signal in passive radar applications. Sci. Iran. 19(6), 1763–1770 (2012)CrossRefGoogle Scholar
  5. 5.
    Attalah, M.A., Laroussi, T., Gini, F., Greco, M.S.: Fast block LMS algorithm for interference cancellation in DVB-T based passive bistatic radar. In: International Conference on Electrical Engineering - Boumerdes (ICEE-B), pp. 1-5 (2017)Google Scholar
  6. 6.
    Radmard, M., Bayat, S., Farina, A., Hajsadeghian, S., Nayebi, M.: Catching the high altitude invisible by satellite-based forward scatter PCL. SIViP 11(3), 565572 (2017)CrossRefGoogle Scholar
  7. 7.
    Arslan, M.T., Tofighi, M., etin, A.E.: Range resolution improvement in FM-based passive radars using deconvolution. SIViP 10(8), 14811488 (2016)CrossRefGoogle Scholar
  8. 8.
    Hadi, M.A., Tabassum, M.N., Alshebeili, S.: Compressive sensing based high-resolution passive bistatic radar. SIViP. 11(4), 635642 (2017)CrossRefGoogle Scholar
  9. 9.
    Cardinali, R., Colone, F., Ferretti, C., Lombardo, P.: Comparison of clutter and multipath cancellation techniques for passive radar. In: Radar Conference, pp. 469-474 (2007)Google Scholar
  10. 10.
    Kulpa, K.S., Czekala, Z.: Masking effect and its removal in PCL radar. Radar Sonar Navig. 152(3), 174–178 (2005)CrossRefGoogle Scholar
  11. 11.
    Axelsson, S.R.J.: Suppression of noise floor and dominant reflectors in random noise radar. In: International Radar Symposium (IRS), pp. 1-4 (2006)Google Scholar
  12. 12.
    Colone, F., Cardinali, R., Lombardo, P.: Cancellation of clutter and multipath in passive radar using a sequential approach. In: IEEE Conference on Radar, pp. 24–27 (2006)Google Scholar
  13. 13.
    Colone, F., Hagan, D.W.O., Lombardo, P., Baker, C.J.: A multistage processing algorithm for disturbance removal and target detection in passive bistatic radar. IEEE Trans Aerosp. Electron. Syst. 45(2), 698–722 (2009)CrossRefGoogle Scholar
  14. 14.
    Schwark, C., Cristallini, D.: Advanced multipath clutter cancellation in OFDM-based passive radar systems. In: IEEE Radar Conference (RadarConf), pp. 1–4 (2016)Google Scholar
  15. 15.
    Fu, Y., Wan, X., Zhang, X., Yi, J.: A parallel processing algorithm for multipath clutter cancellation in passive radar. In: International Symposium on Antennas, Propagation and EM Theory (ISAPE), pp. 508–511 (2016)Google Scholar
  16. 16.
    Colone, F., Palmarini, C., Martelli, T., Tilli, E.: Sliding extensive cancellation algorithm for disturbance removal in passive radar. IEEE Trans. Aerosp. Electron. Syst. 52(3), 1309–1326 (2016)CrossRefGoogle Scholar
  17. 17.
    Ansari, F., Taban, M.R., Gazor, S.: A novel sequential algorithm for clutter and direct signal cancellation in passive bistatic radars. EURASIP J. Adv. Signal Process. (1), p. 134 (2016)Google Scholar
  18. 18.
    Ma, Y., Shan, T., Zhang, Y.D., Amin, M.G., Tao, R., Feng, Y.: A novel two-dimensional sparse-weight NLMS filtering scheme for passive bistatic radar. IEEE Geosci. Remote Sens. Lett. 13(5), 676–680 (2016)CrossRefGoogle Scholar
  19. 19.
    Xiaode, L., Jichuan, L., Kuan, L., Daojing, L., Yi, Z.: Range-Doppler NLMS (RDNLMS) algorithm for cancellation of strong moving targets in passive coherent location (PCL) radar. In: International Radar Conference, pp. 1–5 (2014)Google Scholar
  20. 20.
    Shan, T., Ma, Y., Tao, R., Liu, S.: Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar. IEICE Electron. Express. 10(20), 1–12 (2014)Google Scholar
  21. 21.
    Jarrah, A.A., Jamali, M.M.: A parallel implementation of extensive cancellation algorithm (ECA) for passive bistatic radar (PBR) on a GPU. J. Signal Process. Syst. 85(2), 201–209 (2016)CrossRefGoogle Scholar
  22. 22.
    Jarrah, A.A., Jamali, M.M.: FPGA based architecture of extensive cancellation algorithm (ECA) for passive bistatic radar (PBR). Microprocess. Microsyst. 41, 56–66 (2016)CrossRefGoogle Scholar
  23. 23.
    Cardinali, R., Colone, F., Lombardo, P., Crognale, O., Cosmi, A., Lauri, A.: Multipath cancellation on reference antenna for passive radar which exploits FM transmission. In: IET International Conference on Radar Systems, pp. 1–5 (2007)Google Scholar
  24. 24.
    Lu, Z., Gao, M., Li, Y., Cheng, S.: Performance analysis of direct signal and surface clutter cancellation for bistatic noise radar with LMS filter. In: IEEE International Conference on Industrial Informatics, pp. 184-189 (2012)Google Scholar
  25. 25.
    Haykin, S.: Adaptive Filter Theory. S. (Ed.): Pearson Education Limited’(5th edn.). pp. 357–396 (2014)Google Scholar
  26. 26.
    ETSI EN 300 744 : Digital Video Broadcasting (DVB); framing structure, channel coding and modulation for digital terrestrial television. 2004-11, V1.5.1Google Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Département d’ElectroniqueUniversité des Frères Mentouri Constantine 1ConstantineAlgeria
  2. 2.Dipartimento di Ingegneria dell’Informazione - Elettronica, Informatica, TelecomunicazioniUniversità Degli Studi di PisaPisaItalia

Personalised recommendations