IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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Parameter Estimation of Linear-FM with Modified sMLE for Radar Signal Active Cancelation Application

  • Choi, Seungkyu (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, Chungyong (School of Electrical and Electronic Engineering, Yonsei University)
  • Received : 2014.02.20
  • Accepted : 2014.08.28
  • Published : 2014.12.31
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Abstract

This study examined a radar signal active cancelation technique, which is a theoretical way of achieving stealth by employing a baseband process that involves sampling the incoming hostile radar signal, analyzing its characteristics, and generating countermeasure signals to cancel out the linear-FM signal of the hostile radar signal reflected from the airborne target. To successfully perform an active cancelation, the effects of errors in the countermeasure signal were first analyzed. To generate the countermeasure signal that requires very fast and accurate processing, the down-sampling technique with the suboptimal maximum likelihood estimation (sMLE) scheme was proposed to improve the speed of the estimation process while preserving the estimation accuracy. The simulation results showed that the proposed down-sampling technique using a 2048 FFT size yields substantial power reduction despite its small FFT size and exhibits similar performance to the sMLE scheme using the 32768 FFT size.

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References

  1. Dimitris V. Dranidis, Airborne Stealth in a Nutshell-Part I (the Magazine of the Computer Harpoon Community), Accessed April 2014.
  2. S. Peleg and B. Porat, "Linear FM signal parameter estimation from discrete-time observations," IEEE Trans. Aerosp. Electron. Syst., vol. 27, pp. 607-616, Jul. 1991. https://doi.org/10.1109/7.85033
  3. P. O'Shea, "Fast parameter estimation algorithms for linear FM signals," in IEEE Int. Conf. Acoust., Speech and Signal Process., 1994. ICASSP-94, 19-22, April 1994.
  4. G. Cornelia, M. Lucian, and R. Romulus, "Detection and estimation of linear FM signals," in Int. Symp. Signals, Circuits, and Systems, 2005, ISSCS 2005, 14-15, July 2005.
  5. WANG Ling-huan, Ma Hong-guan, Li Zhao, AI Ming-shun, and ZHANG Xin-yu, "Parameter estimation of linear FM signal based on matching fourier transform," in IEEE Int. Conf. Ind. Tech., 2008, ICIT 2008, 21-24, April 2008.
  6. Zhe Yan, Jiao Zhang, Fei Fan, Shutao Che, and Hong Zhao, "Parameters extraction of linear FM signal using fractional autocorrelation," in Int. Conf. Intelligent Control and Inform. Process., 2010, 13-15, Aug. 2010.
  7. C. De Luigi and E. Moreau, "An iterative algorithm for estimation of linear frequency modulated signal parameters," IEEE Signal Process. Lett., vol. 9, pp. 127-129, April. 2002. https://doi.org/10.1109/97.1001649
  8. P. M. Djuric and S. M. Kay, "Parameter estimation of chirp signals," IEEE Trans. Acoust., Speech, Signal Process., vol. 38, pp. 2118-2126, Dec. 1990. https://doi.org/10.1109/29.61538
  9. S. Peleg and B. Porat, "Estimation and classification of polynomialphase signals," IEEE Trans. Inf. Theory, vol. 37, pp. 422-430, Mar. 1991. https://doi.org/10.1109/18.75269
  10. P. OShea, "A fast algorithm for estimating the parameters of a quadratic FM signal," IEEE Trans. Signal Process., vol. 52, no. 22, pp. 385-392, Feb. 2004. https://doi.org/10.1109/TSP.2003.821097
  11. P.Wang, I. Djurovic, and J. Yang, "Generalized highorder phase function for parameter estimation of polynomial phase signal," IEEE Trans. Signal Process., vol. 56, pp. 3023-3028, Jul. 2008. https://doi.org/10.1109/TSP.2007.916144
  12. Bassem R. Mahafza and Atef Z. Elsherbeni, MATLAB Simulations for Radar Systems Design. Chapman and Hall/CRC 2004.
  13. Louis L. Scharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Addison-Wesley Publishing Company, Inc. 1991.
  14. E. Jacobsen and P. Kootsookos, "Fast, accurate frequency estimators," IEEE Signal Processing Mag., vol. 24, pp. 123-125, May 2007. https://doi.org/10.1109/MSP.2007.361611
  15. D. Rife and R. Boorstyn, "Single tone parameter estimation from discrete-time observations," IEEE Trans. Inf. Theory, vol. 20, pp. 591-598, Sep. 1974. https://doi.org/10.1109/TIT.1974.1055282
  16. Zhang Gang-bing, Liu Yu, Xu Jia-Jia, and Hu Guobing, "Frequency estimation based on discrete Fourier transform and least squares," in Int. Conf. Wireless Commun. & Signal Process., 2009, WCSP 2009, 13-15, Nov. 2009.