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Fractional Fourier transform-based chirp radars for countering self-protection frequency-shifting jammers

Published online by Cambridge University Press:  03 April 2017

Samer Baher Safa Hanbali  and
Radwan Kastantin
Samer Baher Safa Hanbali*
Affiliation:
Department of Communication Engineering, Higher Institute of Applied Sciences and Technology, Damascus, Syria
Radwan Kastantin
Affiliation:
Department of Communication Engineering, Higher Institute of Applied Sciences and Technology, Damascus, Syria
*
Corresponding author: S.B.S. Hanbali Email: [email protected]
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Abstract

Self-protection deceptive jammers create at the radar receiver output multiple-false targets that are impossible to isolate in both time and frequency domains. In this paper, we introduce a novel technique based on fractional Fourier transform (FrFT) to discriminate between the true target echo and those false targets in the case of frequency-shifting jammers. In fact, we exploit the capability of the FrFT to resolve, in a matched manner, spectra that are overlapping in time and frequency. This is a property that cannot be achieved using a standard matched filter. The theoretical analysis of this technique is presented and its effectiveness is verified by simulation.

Keywords

Chirp radarsFrequency-shifting jammingAnti-jamming techniqueFractional Fourier transform
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Special Issue 8: Biomedical Applications of RF/Microwave and Optics Technologies , October 2017 , pp. 1687 - 1693
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2017 

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References

REFERENCES

[1] Curtis Schleher, D.: Electronic Warfare in the Information Age, chapter 4, Artech House, Boston–London, 1999.Google Scholar
[2] De Martino, A..: Introduction to Modern EW Systems, chapter 5, Copyright © 2012 by Artech House, Boston–London, 2012.Google Scholar
[3] Yong, Y.; Zhang, W.-M.; Yang, J.-H.: Study on frequency-shifting jamming to linear frequency modulation pulse compression radars, in Wireless Communications & Signal Processing, IEEE, 2009, 1–5.Google Scholar
[4] Sun, H.-B.; Liu, G.-S.; Gu, H.; Su, W.-M.: Application of the fractional Fourier transform to moving target detection in airborne SAR. IEEE Trans. Aerosp. Electron. Syst., 38 (4) (2002), 1416–1424.Google Scholar
[5] Cowell, D.M.J.; Freear, S.: Separation of overlapping linear frequency modulated (LFM) signals using the fractional Fourier transform. IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 57 (10) (2010), 2324–2333.Google Scholar
[6] Elgamel, S.A.; Soraghan, J.J.: Radar matched filtering using the fractional Fourier transform, in Sensor Signal Processing for Defence (SSPD 2010), 29 September 2010, IET, 1–5.Google Scholar
[7] Akay, O.; Erzden, E.: Employing fractional autocorrelation for fast detection and sweep rate estimation of pulse compression radar waveforms. Signal Process., 89 (12) (2009), 2479–2489. (Special Section: Visual Information Analysis for Security).Google Scholar
[8] Elgamel, S.A.; Soraghan, J.J.: Enhanced monopulse radar tracking using filtering in fractional Fourier domain, in 2010 IEEE Radar Conf., IEEE, 10 May 2010, 247–250.Google Scholar
[9] Skolnik, M.: Radar Handbook, 3rd ed., chapter 24, McGraw-Hill, USA, 2008. ISBN: 978-0071485470.Google Scholar
[10] Adamy, D.L.: EW 104, EW against a New Generation of Threats, chapter 4. Copyright © 2015 by Artech House, Boston–London, 2015. ISBN 13: 978-1-60807-869-1.Google Scholar
[11] Deng, H.: Polyphase code design for orthogonal netted radar systems. IEEE Trans. Signal Process., 52 (11) (2004), 3126–3135.Google Scholar
[12] Elgamel, S.A.; Soraghan, J.J.: Fractional Fourier Transform based monopulse radar for combating jamming interference, in Sensor Signal Processing for Defence (SSPD 2010), IET, 29 September 2010, 1–5.Google Scholar
[13] Bing, W. et al. : Deceptive jamming suppression based on coherent cancelling in multistatic radar system, in 2016 IEEE Radar Conf. (RadarConf), IEEE, 2 May 2016, 1–5.Google Scholar
[14] Ahmed, A. et al. : Subarray-based FDA radar to counteract deceptive ECM signals. EURASIP J. Adv. Signal Process. 7 (2016), 104.Google Scholar
[15] Xu, J. et al. : Deceptive jamming suppression with frequency diverse MIMO radar. Signal Process., 113 (2015), 9–17.Google Scholar
[16] Hanbali, S.B.S.; Kastantin, R.: Countering a self-protection frequency shifting jamming against LFM pulse compression radars. Int. J. Electron. Telecommun., 63 (2) (2017).Google Scholar
[17] Ozaktas, H.; Zalevsky, Z.; Kutay, M.: The Fractional Fourier Transform: with Applications in Optics and Signal Processing, Wiley, Chichester, UK, 2001, 99–107.Google Scholar
[18] Ozaktas, H.; Arikan, O.; Kutay, M.; Bozdagt, G.: Digital computation of the fractional Fourier transform. IEEE Trans. Signal Process., 44 (9) (1996), 2141–2150.Google Scholar
[19] Capus, C.; Rzhanov, Y.; Linnett, L.: The analysis of multiple linear chirp signals, in Time-scale and Time-Frequency Analysis and Applications (Ref. No. 2000/019), IEE Seminar on 2000, IET, 4–1.Google Scholar
[20] Capus, C.; Brown, K.: Short-time fractional Fourier methods for the time-frequency representation of chirp signals. J. Acoust. Soc. Am., 113 (6) (2003), 3253–3263.CrossRefGoogle ScholarPubMed
[21] Almeida, L.B.: The fractional Fourier transform and time–frequency representations. IEEE Trans. Signal Proc., 42 (11) (1994), 3084–3093.Google Scholar
[22] Ashok Narayanana, V.; Prabhub, K.M.M.: The fractional Fourier transform: theory, implementation and error analysis, Science direct, Microprocess. Microsys., 27 (2003), 511–521.CrossRefGoogle Scholar
[23] Guoh, Y.; Guan, J.: Detection of moving target based on fractional Fourier transform in SAR clutter, in 2010 IEEE 10th Int. Conf. Signal Processing (ICSP), 24 October 2010, IEEE, 2003–2006.Google Scholar
[24] Liu, J.-C.; Liu, Z.; Wang, X.-S.; Xiao, S.-P.; Wang, G.-Y.: SNR analysis of LFM signal with Gaussian white noise in fractional Fourier transform domain. J. Electron. Inf. Technol., 29 (10) (2007), 2337–2340.Google Scholar
[25] Cooley, J.W.; Tukey, J.W.: An algorithm for the machine calculation of complex Fourier series. Math. Comput., 19 (90) (1965), 297–301.Google Scholar
[26] Richards, M.A.: Fundamentals of Radar Signal Processing, 2nd ed., chapter 4, 6. McGraw-Hill, 2014, ISBN: 978-0-07-179833-4.Google Scholar
[27] Richards, M.A.; Scheer, J.A.; Holm, W.A.: Principles of Modern Radar, vol. I: Basic Principles, chapter 16, Copyright ©2010 by SciTech Publishing, 2010.Google Scholar