Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

Velocity Measurement for Passive Bistatic Radars using FM-radio Broadcast Signal as an Illuminating Signal

Print
PDF
International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 119 - Number 10
Year of Publication: 2015
Authors:
Mahwish Saleem
Adnan Umar
M. Khalil Shahid
10.5120/21101-3815

Mahwish Saleem, Adnan Umar and Khalil M Shahid. Article: Velocity Measurement for Passive Bistatic Radars using FM-radio Broadcast Signal as an Illuminating Signal. International Journal of Computer Applications 119(10):6-10, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Mahwish Saleem and Adnan Umar and M. Khalil Shahid},
	title = {Article: Velocity Measurement for Passive Bistatic Radars using FM-radio Broadcast Signal as an Illuminating Signal},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {119},
	number = {10},
	pages = {6-10},
	month = {June},
	note = {Full text available}
}

Abstract

This paper deals with the velocity estimation of a moving target by using bistatic radar. The illuminating signal used is an FM-Radio Broadcast signal. The main problems associated with bistatic radars are the noise and DPI (Direct Path interference). The estimation is achieved by reducing noise and direct path interference using adaptive filtering technique. The performance is computed by using simulations.

References

  • Nicholas J. Willis, Hugh Griffiths, Advances in Bistatic Radar, 2007, pp. 1-26.
  • Nicholas J. Willis & Hugh Griffiths, Klein Heidelberg – a WW2 bistatic radar system
  • Jonathan Baniak, Dr. Gregory Baker, Ann Marie Cunningham & Lorraine Martin, Silent Sentry™ Passive Surveillance, Lockheed Martin Mission Systems, 1999.
  • H. Griffith. , Passive Bistatic Radar, London.
  • M A Ringer, G J Frazer and S J Anderson (1999), Waveform Analysis of Transmitters of Opportunity for Passive Radar, Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on (Volume: 2)
  • Griffiths, H. D. & Baker, C. J. (2005) Measurement and analysis of ambiguity functions of passive radar transmissions, IEEE 2005 International Radar Conference
  • Howland, P. , Masksimiuk, D. & Reitsma, G. (2005) FM radio based bistatic radar, IEEE Proceedings-Radar, Sonar and Navigation 2005.
  • Griffiths, H. D. , Baker, C. J. & Papoutsis, I. (2005) Passive coherent location radar systems. Part 2: Waveform properties, IEE Proceedings-Radar, Sonar and Navigation 2005.
  • Kubica, M. , Kubica, V. , Neyt, X. , Raout, J. , Roques, S. & Acheroy, M. (2006) Optimum target detection using illuminators of opportunity, EEE Conference on Radar 2006.
  • Thomas, J. , Griffiths, H. & Baker, C. (2006) Ambiguity function analysis of Digital Radio Mondiale signals for HF passive bistatic radar.
  • Shentang Li, Hong Wan; Haichang Yin & Yuqi Huang (2007) Detection of Moving Target in FM Broadcast-Based Passive Radar, IEEE Radar Conference 2007.
  • J. M. Thomas C. J. Baker H. D. Griffiths (2007), DRM Signals for HF passive bistatic radar, IEEE International Conference on Radar Systems (2007)
  • James Palmer, Simon Palumbo, Tri-Tan Van Cao and Stephen Howard (2009) A new Illuminator of Opportunity Bistatic Radar Research Project at DSTO, IEEE Radar Conference - Surveillance for a Safer World, 2009.
  • Harms, H. A. Davis, L. M. , Palmer, J. (2010) Understanding the Signal Structure in DVB-T Signals for Passive Radar Detection, IEEE Radar Conference 2010
  • Patrick Maechler, Norbert Felber, and Hubert Kaeslin (2012) Compressive Sensing for Wi-Fi-based Passive Bistatic Radar,IEEE Radar Conference 2012.
  • Macera, C. Bongioanni, F. Colone, C. Palmarini, T. Martelli, D. Pastina, P. Lombardo 2013,FM-based Passive Bistatic Radar in ARGUS 3D:Experimental results.
  • Jose R. Gutierrez del Arroyo (2013), Passive Synthetic Aperture Radar Imaging using Commercial OFDM Communication Networks.
  • Jonathan PISANE (2013), Automatic target recognition using passive bistatic radar signals.
  • Simon Haykin, Thomas Kailash, Adaptive filtering theory,4th edition, Pearson Education
  • Sayed. A. Hadei, M. lotfizad, A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement, International Journal of Computer and Electrical Engineering, Vol. 2, No. 2, April 2010.
  • Mounir Sayadi, Farhat Fnaiech , Sébastien Guillon and Mohamed Najim, steady-state performance analysis of the LMS adaptive time-varying second order Volterra filter.
  • Hanis Ramli, Hambaly Abdullah, Latifah Mat Nen, Shahmi Shokri, Zulhelmi Iskandar, Noise Sensitivity of AM vs FM
  • Joe J. Johnson, Implementing The Cross Ambiguity Function And Generating Geometry-Specific Signals, 2001
  • Christopher L. Yatrakis, Computing the Cross Ambiguity Function. A Review, 2001