Algorithm for Target Tracking Using Passive Radar

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In the paper the problem of target tracking in passive radar is addressed. Passive radar measures bistatic parameters of a target: bistatic range and bistatic velocity. The aim of the tracking algorithm is to convert the bistatic measurements into Cartesian coordinates. In the paper a two-stage tracking algorithm is presented, using bistatic and Cartesian tracking. In addition, a target localization algorithm is applied to initialize Cartesian tracks from bistatic measurements. The tracking algorithm is tested using simulated and real data. The real data were obtained from an FM-based passive radar called PaRaDe, developed at Warsaw University of Technology.

[1] P. Howland, D. Maksimiuk, and G. Reitsma, “FM radio based bistatic radar,” IEE Proc. Radar, Sonar and Navigation, vol. 152, no. 3, pp. 107-115, June 2005.

[2] M. Malanowski, K. Kulpa, and J. Misiurewicz, “PaRaDe - Passive Radar Demonstrator family development at Warsaw University of Technology,” in Microwaves, Radar and Remote Sensing, Kiev, Ukraine, 22-24 September 2008, p. CD.

[3] P. Howland, “Target tracking using television-based bistatic radar,” IEE Proc. Radar, Sonar and Navigation, vol. 146, no. 3, pp. 166-174, June 1999

[4] D. Tan, H. Sun, Y. Lu, M. Lesturgie, and H. Chan, “Passive radar using Global System for Mobile communication signal: theory, implementation and measurements,” IEE Proc. Radar, Sonar and Navigation, vol. 152, no. 3, pp. 116-123, June 2005.

[5] M. Malanowski, K. Kulpa, and R. Suchozebrski, “Two-stage tracking algorithm for passive radar,” in Proc. 12th International Conference on Information Fusion - FUSION, Seattle, Washington, USA, 6-9 July 2009.

[6] M. Malanowski, “Target tracking using FM-based passive radar,” in Signal Processing Symposium 2011, Jachranka, Poland, June 2011, pp. 1-6.

[7] Y. Bar-Shalom and X. R. Li, Multitarget-Multisensor Tracking: Principles and Techniques. Storrs, USA: Yaakov Bar-Shalom, 1995.

[8] --, Estimation and Tracking: Principles, Techniques, and Software. Boston, USA: Artech House, 1993.

[9] M. Malanowski, “An algorithm for 3D target localization from passive radar measurements,” in Proc. SPIE - Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, Wilga, Poland, 25-31 May 2009 2009, pp. 75 021B-1-75 021B-6, vol. 7502.

[10] M. Malanowski and K. Kulpa, “Two methods for target localization in multistatic passive radar,” IEEE Trans. Aerosp. Electron. Syst., vol. 48, no. 1, pp. 572-580, January 2012.

[11] G. Mellen II, M. Pachter, and J. Raquet, “Closed-form solution for determining emitter location using time difference of arrival measurements,” IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 3, pp. 1056-1058, July 2003.

[12] J. Smith and J. Abel, “Closed-form least-squares source location estimation from range-difference measurements,” IEEE Trans. Acoust., Speech, Sign. Process., vol. ASSP-35, no. 12, pp. 1661-1669, December 1987.

[13] M. Malanowski, K. Kulpa, M. Mordzonek, and P. Samczyski, “PaRaDe - reconfigurable software defined passive radar,” in Proc. NATO Specialist Meeting SET-136, Lisbon, Portugal, 23-25 June 2009, p. CD.

[14] K. Kulpa and M. Malanowski, “Simple COTS PCL demonstrator,” in Proc. 5th Multi-National Passive Covert Radar Conference, Shrivenham, UK, 13-15 November 2006, p. CD.

[15] M. Malanowski, G. Mazurek, K. Kulpa, and J. Misiurewicz, “FM based PCL radar demonstrator,” Cologne, Germany, 5-7 September 2007, pp. 431-435.

International Journal of Electronics and Telecommunications

The Journal of Committee of Electronics and Telecommunications of Polish Academy of Sciences

Journal Information

CiteScore 2016: 0.72

SCImago Journal Rank (SJR) 2016: 0.248
Source Normalized Impact per Paper (SNIP) 2016: 0.542


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