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• Chen, V.C., The Micro-Doppler Effect in Radar, 2nd Ed. second ed., 2019, Artech House.
• Gill, T.P., The Doppler Effect: An Introduction to the Theory of the Effect. 1965, Logos Press.
• Censor, D., Scattering of electromagnetic waves in uniformly moving media. J. Math. Phys. 11:6 (1970), 1968–1976.
• Z.A. Cammenga, C.J. Baker, G.E. Smith, R. Ewing, Micro-Doppler target scattering, in: IEEE Radar Conference, 2014, pp. 1451–1455.
• Cammenga, Z.A., Smith, G.E., Baker, C.J., High range resolution micro-doppler analysis. Ranney, K.I., Doerry, A., Gilbreath, G.C., Hawley, C.T., (eds.) Radar Sensor Technology XIX; and Active and Passive Signatures VI Proceedings of SPIE, vol. 9461, 2015.
• Chen, V.C., Li, F.Y., Ho, S.S., Wechsler, H., Micro-Doppler effect in radar: phenomenon, model, and simulation study. IEEE Trans. Aerosp. Electron. Syst. 42:1 (2006), 2–21.
• Gu, C., Wang, G., Li, Y., Inoue, T., Li, C., A hybrid radar-camera sensing system with phase compensation for random body movement cancellation in Doppler vital sign detection. IEEE Trans. Microw. Theory Tech. 61:12 (2013), 4678–4688.
• Li, C., Cummings, J., Lam, J., Graves, E., Wu, W., Radar remote monitoring of vital signs. Microw. Mag. IEEE 10 (2009), 47–56.
• Liu, Z., Peng, B., Li, X., Analysis of phase noise influence on micro-Doppler feature extraction on vibrating target. Prog. Electromagn. Res. C 85 (2018), 177–190.
• D.A. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord, Temporal deep learning for drone micro-Doppler classification, in: H. Rohling (Ed.), 2018 19th International Radar Symposium (IRS), 2018.
• Garcia-Rubia, J., Kilic, O., Dang, V., Nguyen, Q., Nghia, T., Analysis of moving human micro-doppler signature in forest environments. Prog. Electromagn. Res. 148 (2014), 1–14, 10.2528/PIER14012306.
• Agnihotri, V., Sabharwal, M., Goyal, V., Effect of frequency on micro-doppler signatures of a helicopter. 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (IcABCD), 2019, 1–5, 10.1109/ICABCD.2019.8851024.
• Dias Da Cruz, S., Beise, H.-P., Schröder, U., Karahasanovic, U., A theoretical investigation of the detection of vital signs in presence of car vibrations and RADAR-based passenger classification. IEEE Trans. Veh. Technol. 68:4 (2019), 3374–3385.
• U. Karahasanovic, D. Tatarinov, Radar-based detection of thoracoabdominal asynchrony during breathing using autocorrelation function analysis, in: 2018 11th German Microwave Conference (GEMIC 2018), 2018, pp. 403–406.
• Liu, Z., Peng, B., Li, X., Analysis of phase noise influence on micro-Doppler feature extraction of vibrating target. J. Eng.-JOE 2019:20 (2019), 6834–6839, 10.1049/joe.2019.0434.
• Peng, B., Wei, X., Deng, B., Chen, H., Liu, Z., Li, X., A sinusoidal frequency modulation fourier transform for radar-based vehicle vibration estimation. IEEE Trans. Instrum. Meas. 63:9 (2014), 2188–2199.
• Brooks, D., Schwander, O., Barbaresco, F., Schneider, J.-Y., Cord, M., Complex-valued neural networks for fully-temporal micro-Doppler classification. 20th International Radar Symposium (IRS), 2019, 1–10, 10.23919/IRS.2019.8768161.
• Chen, X., Yu, X., Guan, J., He, Y., High-resolution sparse representation of micro-Doppler signal in sparse fractional domain. Machine Learning and Intelligent Communications Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 227, 2018, Springer, 225–232.
• Censor, D., Scattering of electromagnetic waves by a cylinder moving along its axis. IEEE Trans. Microw. Theory Tech. 17:3 (1969), 154–158.
• V.C. Chen, C.-T. Lin, W.P. Pala, Time-varying Doppler analysis of electromagnetic backscattering from rotating object, in: 2006 IEEE Radar Conference, Vols 1 and 2, IEEE Radar Conference, 2006, p. 807+.
• Chuang, C.W., Backscatter of a large rotating conducting cylinder of arbitrary cross-section. IEEE Trans. Aerosp. Electron. Syst. 27:1 (1979), 92–95.
• Van Bladel, J., Electromagnetic fields in the presence of rotating bodies. Proc. IEEE 64:3 (1976), 301–318.
• Censor, D., Non-relativistic scattering: pulsating interfaces. Prog. Electromagn. Res. 54 (2005), 263–281.
• Harfoush, F., Taflove, A., Kriegsmann, G.A., A numerical technique for analyzing electromagnetic wave scattering from moving surfaces in one and two dimensions. IEEE Trans. Antennas and Propagation 37:1 (1989), 55–63.
• Zheng, K., Li, Y., Qin, S., An, K., Wei, G., Analysis of micromotion characteristics from moving conical-shaped targets using the lorentz-FDTD method. IEEE Trans. Aerosp. Electron. Syst. 67:11 (2019), 7174–7179.
• Zheng, K.-S., Li, J.-Z., Wei, G., Xu, J.-D., Analysis of Doppler effect of moving conducting surfaces with Lorentz-FDTD method. J. Electromagn. Waves Appl. 27:2 (2013), 149–159.
• Zhang, H.L., Sha, Y.X., Guo, X.Y., Xia, M.Y., Chan, C.H., Efficient analysis of scattering by multiple moving objects using a tailored MLFMA. IEEE Trans. Aerosp. Electron. Syst. 67:3 (2019), 2023–2027.
• Fokas, A.S., Pelloni, B., Method for solving moving boundary value problems for linear evolution equations. Phys. Rev. Lett. 84:21 (2000), 4785–4789.
• Christov, I.C., Christov, C.I., On mechanical waves and doppler shifts from moving boundaries. Math. Methods Appl. Sci. 40:12 (2017), 4481–4492.
• Halbach, A., Geuzaine, C., Steady-state nonlinear analysis of large arrays of electrically actuated micromembranes vibrating in a fluid. Eng. Comput. 155:3 (2017), 591–602.
• Dular, P., Geuzaine, C., Henrotte, F., Legros, N., A general environment for the treatment of discrete problems and its application to the finite element method. IEEE Trans. Magn. 34:5, 1 (1998), 3395–3398.
• Boubendir, Y., Antoine, X., Geuzaine, C., A quasi-optimal non-overlapping domain decomposition algorithm for the Helmholtz equation. J. Comput. Phys. 231:2 (2012), 262–280.
• Dolean, V., Jolivet, P., Nataf, F., An Introduction to Domain Decomposition Methods: Theory and Parallel Implementation. 2015, SIAM, Philadelphia.
• El Bouajaji, M., Thierry, B., Antoine, X., Geuzaine, C., A quasi-optimal domain decomposition algorithm for the time-harmonic Maxwell's equations. J. Comput. Phys. 294 (2015), 38–57.
• Thierry, B., Vion, A., Tournier, S., El Bouajaji, M., Colignon, D., Marsic, N., Antoine, X., Geuzaine, C., GetDDM: An open framework for testing optimized Schwarz methods for time-harmonic wave problems. Comput. Phys. Commun. 203 (2016), 309–330.
• Chew, W.C., Michielssen, E., Song, J.M., Jin, J.M, Fast and Efficient Algorithms in Computational Electromagnetics. 2001, Artech House, Inc.
• Bouche, D., Molinet, D., Mittra, R., Asymptotic Methods in Electromagnetism. 1997, Springer.
• H.G. Brachtendorf, G. Welsch, R. Laur, Fast simulation of the steady-state of circuits by the harmonic balance technique, in: Proceedings of ISCAS’95 - International Symposium on Circuits and Systems, Vol. 2, 1995, pp. 1388–1391.
• Cardona, A., Coune, T., Lerusse, A., Geradin, M., A multiharmonic method for non-linear vibration analysis. Internat. J. Numer. Methods Engrg. 37:9 (1994), 1593–1608.
• Gyselinck, J., Geuzaine, C., Dular, P., Legros, W., Multi-harmonic modelling of motional magnetic field problems using a hybrid finite element-boundary element discretisation. J. Comput. Appl. Math. 168:1–2 (2004), 225–234.
• Ju, P., Global residue harmonic balance method for Helmholtz-Duffing oscillator. Appl. Math. Model. 39:8 (2015), 2172–2179.
• Mickens, R., A generalization of the method of harmonic balance. J. Sound Vib. 111:3 (1986), 515–518.
• Wong, C.W., Zhang, W.S., Lau, S.L., Periodic forced vibration of unsymmetrical piecewise-linear systems by incremental harmonic-balance method. J. Sound Vib. 149:1 (1991), 91–105.
• Cochelin, B., Vergez, C., A high order purely frequency-based harmonic balance formulation for continuation of periodic solutions. J. Sound Vib. 324:1–2 (2009), 243–262.
• Dunne, J.F., Hayward, P., A split-frequency harmonic balance method for nonlinear oscillators with multi-harmonic forcing. J. Sound Vib. 295:3–5 (2006), 939–963.
• Yamada, S., Bessho, K., Harmonic field calculation by the combination of finite element analysis and harmonic-balance method. IEEE Trans. Magn. 24:6 (1988), 2588–2590.
• Abramowitz, M., Stegun, I.A., Handbook of Mathematical Functions, with Formulas, Graphs, and Mathematical Tables. 1964, Dover Publications.
• Kuchment, P., Floquet Theory For Partial Differential Equations. 1993, Birkhauser Verlag, Basel.
• Newman, D.J., A simple proof of Wiener 1∕f theorem. Proc. Amer. Math. Soc. 48:1 (1975), 264–265.
• Bohr, H., Almost Periodic Functions. 1947, American Mathematical Society.