Abstract
Since the development of the Singularity Expansion Method (SEM), several authors have attempted to identify targets via their SEM parameters.1 There have been several approaches using resonance annihilation filters, known as the E-pulse, K-pulse, S-pulse, etc.2–5 There have also been some attempts using signal-processing techniques such as ARX, IV, ARMAX,6,7 and GLRT.8
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References
C. E. Baum, E. J. Rothwell, K. M. Chen, and D. P. Nyquist, The singularity expansion method and its application to target identification, Proc. IEEE 79(10), 1481–1492 (1991).
E. M. Kennaugh, The K-pulse concept, IEEE Trans Antennas Propagai. 35(3), 327–331 (1981).
P. Ilavarasan, J. E. Ross, E. J. Rothwell, K.-M. Chen, and D. P Nyquist, Performance of an automated radar target discrimination scheme using E pulses and S pulses, IEEE Trans Antennas Propagai. 41(5), 582–588 (1993).
D. P. Ruiz, A. Gallego, and M. C. Carrion, Scattered signal enhancement algorithm applied to radar target discrimination schemes, IEICE Trans. Communications E82-B(11), 1858–1866 (1999).
C. E. Baum, Direct Construction of a Xi-Pulse from Natural Frequencies and Evaluation of the Late-Time Residuals, Interaction Note 519, Air Force Research Laboratory, Kirtland AFB NM (1996).
J. W. Brooks and M. W. Maier, Object classification by system identification and feature extraction methods applied to estimation of SEM parameters, in: Proceedings of the IEEE National Radar Conference, (IEEE Press, Piscataway, NJ, 1994), pp. 200–205.
J. W. Brooks, M. W. Maier, and S. R. Vechinski, Applying system identification and neural networks to the efficient discrimination of unexploded ordnance, in: Proceedings of the IEEE Aerospace Conference, (IEEE Press, Piscataway, NJ, 1997), pp. 449–467.
J. E. Mooney, Z. Ding, and L. Riggs, Robust target identification using a generalized likelihood ratio test, in: Ultra-Wideband, Short-Pulse Electromagnetics 3, edited by ???? (Plenum Press, New York, 1997), pp. 343–350.
C. E. Baum, On the Singularity Expansion Method for the Solution of Electromagnetic Interaction Problems, Interaction Note 88, Air Force Weapons Laboratory, Kirtland AFB NM (1971).
C. E. Baum, Title??? in: Transient Electromagnetic Fields, edited by L. B. Felsen (Springer-Verlag, New York, 1976), pp. 129–177.
B. Lu, D. Wei, B. L. Evans, and A. C. Bovik, Improved matrix pencil methods, in: Conference Record of the Thirty-Second Asilomar Conference on Signals, Systems and Computers (IEEE Press, Piscataway, NJ, 1997), pp. 1433–1437.
T. K. Sarkar and O. Pereira, Using the matrix pencil method to estimate the parameters of a sum of complex exponentials, IEEE Antennas Propagai. Mag. 37(1), 48–55 (1995).
R. Roy and T. Kailath, ESPRIT-estimation of signal parameters via rotational invariance techniques, IEEE Trans. Acoustics, Speech, Sig. Proc. 37(7), 984–995 (1989).
Y. Bresler and A. Macovski, Exact maximum likelihood parameter estimation of superimposed exponential signals in noise, IEEE Trans. Acoustics. Speech, Sig. Proc. 34(5), 1081–1089 (1986).
I. Ziskind and M. Wax, Maximum likelihood localization of multiple sources by alternating projection, IEEE Trans. Acoustics, Speech, Sig. Proc. 36(10), 1553–1560 (1988).
T. K. Sarkar, S. Park, J. Koh, and S. M. Rao, Application of the matrix pencil method for estimating the SEM (singularity expansion method) poles of source-free transient responses from multiple look directions, IEEE Trans Antennas Propagai. 48(4), 612–618 (2000).
P. S. Maybeck, Stochastic Models, Estimation, and Control, Volume I (Navtech, Arlington VA, 1994).
P. S. Maybeck, Stochastic Models, Estimation, and Control, Volume II (Navtech, Arlington VA, 1994).
P. K. Eide and P. S. Maybeck, An MMAE failure detection system for the F-16, IEEE Trans. Aero. & Elect. Sys. 32(3), 1125–1136 (1996).
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Pascoe, K.J., Wood, W.D., Maybeck, P.S., Wood, A.W. (2003). Target Recognition Via Late Time Scattering. In: Ultra-Wideband, Short-Pulse Electromagnetics 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9146-1_43
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DOI: https://doi.org/10.1007/978-1-4419-9146-1_43
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