Evaluation of adaptive filter algorithms for clutter cancellation in Passive Bistatic Radar

IEEE National Radar Conference - Proceedings

Volumn , Issue , 2012, Pages 0493-0498

  Palmer, James E ^a   Searle, Stephen J ^b  

^a DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BISTATIC RADARS; CLUTTER CANCELLATION; DIRECT PATHS; DYNAMIC RANGE; FILTER ALGORITHM; LOCAL COMMUNICATIONS; PERFORMANCE METRICS; RADAR PROCESSING; STATIONARY CLUTTER;

ADAPTIVE FILTERS; CLUTTER (INFORMATION THEORY); PASSIVE FILTERS; TRANSMITTERS;

RADAR;

EID: 84864204356     PISSN: 10975659     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RADAR.2012.6212191     Document Type: Conference Paper

References (18)

1. D. Poullin. Passive detection using digital broadcasters (DAB,DVB) with COFDM modulation. IEE Proc. Radar Sonar Navig., 152(3):143-152, June 2005.
2. R. Saini and M. Cherniakov. DTV signal ambiguity function analysis for radar application. IEE Proc. Radar Sonar Navig., 152(3):133-142, June 2005.
3. S. Searle, S. Howard, and J. Palmer. Remodulation of DVB-T signals for use in passive bistatic radar. In 44th Asilomar Conf. on Signals Systems and Computers, pages 1112-1116, November 2010.
4. H.A. Harms, L.M. Davis, and J Palmer. Understanding the signal structure in DVB-T signals for passive radar detection. In IEEE Radar Conference, pages 532-537, May 2010.
5. M. Masjedi, M. Modarres-Hashemi, and S. Sadri. Direct path and multipath cancellation in passive radars using subband variable step-size LMS algorithm. In 19th Iranian Conf. on Elec. Eng., May 2011.
6. F. Colone, K. Woodbridge, H. Guo, D. Mason, and C.J. Baker. Ambiguity function analysis of wireless LAN transmissions for passive radar. IEEE trans. on Aerospace and Electronic Systems, 47(1):240-264, January 2011.
7. J. Palmer, S. Palumbo, A. Summers, D. Merrett, S. Searle, and S. Howard. An overview of an illuminator of opportunity passive radar research project and its signal processing research directions. In Defence Applications of Signal Processing, October 2009.
8. M.K. Baczyk and M. Malanowski. Reconstruction of the reference signal in DVB-T-based passive radar. Intl. Journal of Electronics and Communications, 57(1):43-48, 2011.
9. C.R. Berger, B. Demissie, J. Heckenbach, P. Willett, and S. Zhou. Signal processing for passive radar using OFDM waveforms. IEEE journal of Selected Topics In Signal Processing, 4(1):226-238, February 2010.
10. D.W. O'Hagan, J. Kuschel, J. Heckenbach, M. Ummenhofer, and J Schell. Signal reconstruction as an effective means of detecting targets in a DAB-based PBR. In 11th Intl. Radar Symposium, June 2010.
11. H. Kuschel, M. Ummenhofer, D. O'Hagan, and J. Heckenbach. On the resolution performance of passive radar using DVB-T illuminations. In 11th Intl. Radar Symposium, June 2010.
12. J. Palmer, S. Palumbo, A. Summers, D. Merrett, and S. Howard. DSTO's experimental geosynchronous satellite based PBR. In Intl. Radar Conference, October 2009.
13. S. Haykin. Adaptive Filter Theory, 4th edition. Prentice-Hall, 2002.
14. S. Dhull, S. Arya, and O.P Sahu. Performance evaluation of adaptive filters structures for acoustic echo cancellation. Intl. Journal of Engineering, 5(2):208-216, 2011.
15. M. Arekzi, A. Benallal, P. Meyrueis, and D. Berkani. New algorithm with low complexity for adaptive filtering. Eng. Letters, 18(3), 2010.
16. S.J. Orfanidis. Optimum Signal Processing, 2nd. ed, revised. http://www.ece.rutgers.edu/ orfanidi/osp2e, 2007.
17. S. Li, H. Wan, W. Huo, and Z. Wang. A new variable-step-size LMS algorithm and its application in FM broadcast-based passive radar multi-path interference cancellation. In 2nd IEEE Conf. on Industrial Electronics and Applications, pages 2124-2128, May 2007.
18. B. Xie and T. Bose. Partial update eds algorithms for adaptive filtering. In Intl. Conf. on Acoustics, Speech and Signal Processing, pages 3750-3753, 2010.