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Theoretical performance of reiterated LMMSE filtering and coded radar waveforms

Published online by Cambridge University Press:  19 June 2009

Mayazzurra Ruggiano ,
Emiel Stolp  and
Piet van Genderen
Mayazzurra Ruggiano*
Affiliation:
THALES Surface Radar, Delftechpark 24, 2628 XH Delft, The Netherlands. Phone: +31 15 2517833; Fax: +31 15 2517801.
Emiel Stolp
Affiliation:
THALES Surface Radar, Haaksbergerstraat 49, 7550 GD Hengelo, The Netherlands.
Piet van Genderen
Affiliation:
IRCTR, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands.
*
Corresponding author: M. Ruggiano E-mail: Mayazzurra.Ruggiano@nl.thalesgroup.com
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Abstract

Orthogonal frequency division multiplexing (OFDM) waveforms offer strong advantages for integrated communication and radar systems. However, they exhibit inherent high-range sidelobes after matched filtering when standard communication constellation symbols are used for the coding of the carriers. Consequently, they require filtering at the receiver that can serve for sidelobe suppression in order to avoid target masking. However, unmasking is not the only concern; it is crucial to evaluate the filtering scheme both in terms of sidelobe suppression capability and in terms of output signal-to-noise ratio. This last criterion is essential when aiming at also detecting weaker reflections. In this paper the theoretical performance of the reiterated filtering technique based on linear minimum mean square error (LMMSE) is derived and compared to the matched filter. The unmasking capabilities are relevant, but also output power figures. Complex-valued filter output peaks are also evaluated and compared to the matched filter output peaks. Moreover, the performance of reiterated LMMSE is evaluated for OFDM communication-encoded radar waveforms.

Keywords

OFDMRadarUnmaskingFilteringPerformance
Type
Original Article
Information
International Journal of Microwave and Wireless Technologies , Volume 1 , Special Issue 4: European Microwave Week 2008 , August 2009 , pp. 353 - 359
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2009

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References

[1]Donnet, B.J.; Longstaff, I.D.: Combining MIMO radar with OFDM communications, In Proc. 3rd European Radar Conf., 2006.CrossRefGoogle Scholar
[2]Levanon, N.; Mozeson, E.: Radar Signals, Wiley and IEEE Press, Hoboken, NJ, 2004.Google Scholar
[3]Surender, S.C.; Narayanan, R.M.: Covert netted wireless noise radar sensor: OFDMA-based communication architecture, In Proc. Military Communications Conf., October 2006.Google Scholar
[4]Garmatyuk, D.; Schuerger, J.; Morton, Y.T.; Binns, K.; Durbin, M.; Kimani, J.: Feasibility study of a multi-carrier dual-use imaging radar and communication system, In Proc. European Radar Conf., 2007.Google Scholar
[5]Fens, R.A.M.; Ruggiano, M.; Leus, G.: Channel characterization using radar for transmission of communication signals, In Proc. European Wireless Technology Conf., 2008.Google Scholar
[6]Di Franco, J.V.; Rubin, W.L.: Radar Detection, Artech House, Dedham, MA, 1980.Google Scholar
[7]Chang, C-F.; Bell, M.R.: Image residue approach for masked targets detection and estimation. IEEE Trans. Signal Process., 53 (2005), 2975–2983.CrossRefGoogle Scholar
[8]Blunt, S.D.; Gerlach, K.: Radar pulse compression repair. IEEE Trans. Aerosp. Electron. Syst., 43 (2007), 1188–1195.Google Scholar
[9]Ruggiano, M.; Stolp, E.; van Genderen, P.: Resolution and unmasking of CLEAN and LMMSE algorithms using coded waveforms, In Proc. Int. Radar Conf., 2008.Google Scholar
[10]Blunt, S.D.; Gerlach, K.: Adaptive pulse compression via MMSE estimation. IEEE Trans. Aerosp. Electron. Syst., 42 (2006), 572–584.CrossRefGoogle Scholar
[11]Ruggiano, M.; Stolp, E.; van Genderen, P.: Performance of reiterated LMMSE filtering and coded radar waveforms, In Proc. European Radar Conf., 2008.Google Scholar
[12]Proakis, J.G.: Digital Communications, 4th ed., McGraw-Hill, New York, 2001.Google Scholar
[13]Kay, S.M.: Fundamentals of Statistical Signal Processing, vol. I and II, Prentice-Hall, Upper Saddle River, NJ, 1993.Google Scholar
[14]Moon, T.K.; Stirling, W.C.: Mathematical Methods and Algorithms for Signal Processing. Prentice-Hall, Upper Saddle River, NJ, 2000.Google Scholar
[15]Therrien, C.W.: Discrete Random Signals and Statistical Signal Processing. Prentice-Hall, Upper Saddle River, NJ, 1992.Google Scholar
[16]Skolnik, M.I.: Introduction to Radar Systems, 3rd ed., McGraw-Hill, New York, 2001.Google Scholar
[17]Lewis, B.L.; Kretschmer, F.F.: New class of polyphase pulse compression codes and techniques. IEEE Trans. Aerosp. Electron. Syst., AES-17, (1981), 364–372.CrossRefGoogle Scholar