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Principles of Modern Radar - Volume 2 1891121537

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734 CHAPTER 16 Human Detection With <strong>Radar</strong>: Dismount Detection[71] The RoyMech Website. Available at http://www.roymech.co.uk/Useful Tables/Human/Human sizes.html.[72] Yamada, N., Tanaka, Y., and Nishikawa, K., “<strong>Radar</strong> Cross Section for a Pedestrian in 76 GHzBand,” in Proceedings <strong>of</strong> the European Microwave Conference, vol. 2, October 4–6, 2005.[73] Richards, M.A., Fundamentals <strong>of</strong> <strong>Radar</strong> Signal Processing, McGraw Hill, New York, 2005.[74] R. Linnehan, R. Deming, and J. Schindler, “Multipath analysis <strong>of</strong> dismount radar responses,”in Proc. IEEE <strong>Radar</strong> Conference, 2011, pp. 474–479.[75] P. Setlur, M. Amin, and F. Ahmad, “Multipath Doppler signatures from targets moving behindwalls,” in Proc. IEEE <strong>Radar</strong> Conference, 2010, pp. 799–803.[76] Knott, E.F., Shaeffer, J.F., and Tuley, M.T., <strong>Radar</strong> Cross Section, 2d ed., Artech House,Boston, MA, 1993.[77] Ruck, G.T., Barrick, D.E., Stuart, W.D., and Krichbaum, C.K., <strong>Radar</strong> Cross Section Handbook,vol. 1, Plenum Press, London, 1970.[78] Trott, K.D., “Stationary Phase Derivation for RCS <strong>of</strong> an Ellipsoid,” IEEE Antennas andWireless Propagation Letters, vol. 6, pp. 240–243, 2007.[79] Dogaru, T., Nguyen, L., and Le, C., “Computer Models <strong>of</strong> the Human Body Signature forSensing Through the Wall <strong>Radar</strong> Applications,” U.S. Army Research Laboratory TechnicalReport ARL-TR-4290, September 2007.[80] Dogaru, T. and Nguyen, L., “FDTD Models <strong>of</strong> Electromagnetic Scattering by the HumanBody,” in Proceedings <strong>of</strong> the IEEE Antennas and Propagation Society International Symposium,2006.[81] Stratton, S.R. and Bender, R.L., “<strong>Radar</strong> Cross-Section (RCS) Measurements <strong>of</strong> a Dismountwith Rocket-Propelled Grenade (RPG) Launcher at Ka-Band,” U.S. Army Research LaboratoryTechnical Report ARL-TR-3855, July 2006.[82] Le, C. and Dogaru, T., “Numerical Modeling <strong>of</strong> the Airborne <strong>Radar</strong> Signature <strong>of</strong> DismountPersonnel in the UHF-, L-, and Ka-Bands,” U.S. Army Research Laboratory Technical ReportARL-TR-4336, December 2007.[83] Tahmoush, D. and Silvious, J., “Simplified Model <strong>of</strong> Dismount Micro-Doppler and RCS,”in Proceedings <strong>of</strong> the IEEE <strong>Radar</strong> Conference, 2010.[84] Gürbüz, S.Z., “<strong>Radar</strong> Detection and Identification <strong>of</strong> Human Signatures Using Moving Platforms,”PhD diss., Georgia Institute <strong>of</strong> Technology, Department <strong>of</strong> Electrical and ComputerEngineering, December 2009.[85] Otero, M., “Application <strong>of</strong> a Continuous Wave <strong>Radar</strong> for Human Gait Recognition,” in Proceedings<strong>of</strong> SPIE, Signal Processing, Sensor Fusion and Target Recognition XIV, vol. 5809,pp. 538–548, 2005.[86] Tahmoush, D. and Silvious, J., “<strong>Radar</strong> microDoppler for Security Applications: ModelingMen versus Women,” in Proceedings <strong>of</strong> the Antennas and Propagation Society InternationalSymposium, Charleston, SC, June 1–5, 2009.[87] G. Greneker, “Very low cost stand-<strong>of</strong>f suicide bomber detection system using human gaitanalysis to screen potential bomb carrying individuals,” in Proc. SPIE, Vol. 5788, 2005.[88] Kim, Y. and Ling, H., “Human Activity Classification Based on Micro-Doppler SignaturesUsing an Artificial Neural Network,” in Proceedings <strong>of</strong> the Antennas and Propagation SocietyInternational Symposium, 2008.[89] Yang, Y., Lei, J., Zhang, W., and Lu, C., “Target Classification and Pattern RecognitionUsing Micro-Doppler <strong>Radar</strong> Signatures,” in Proceedings <strong>of</strong> the 7th ACIS International

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