Spherical Harmonic Based Monostatic Anisotropic Point Scatterer Model for RADAR Applications
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32847
Spherical Harmonic Based Monostatic Anisotropic Point Scatterer Model for RADAR Applications

Authors: Eric Huang, Coleman DeLude, Justin Romberg, Saibal Mukhopadhyay, Madhavan Swaminathan

Abstract:

High-performance computing (HPC) based emulators can be used to model the scattering from multiple stationary and moving targets for RADAR applications. These emulators rely on the RADAR Cross Section (RCS) of the targets being available in complex scenarios. Representing the RCS using tables generated from EM simulations is oftentimes cumbersome leading to large storage requirements. In this paper, we proposed a spherical harmonic based anisotropic scatterer model to represent the RCS of complex targets. The problem of finding the locations and reflection profiles of all scatterers can be formulated as a linear least square problem with a special sparsity constraint. We solve this problem using a modified Orthogonal Matching Pursuit algorithm. The results show that the spherical harmonic based scatterer model can effectively represent the RCS data of complex targets.

Keywords: RADAR, RCS, high performance computing, point scatterer model

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 548

References:


[1] B. Haywood, W. Anderson, J. Morris, and R. Kyprianou, “Generation of point scatterer models for simulating isar images of ships,” 1997.
[2] A. Kaya and M. Kartal, “Point scatterer model for rcs prediction using isar measurements,” in 2009 4th International Conference on Recent Advances in Space Technologies, pp. 422–425, IEEE, 2009.
[3] V. Borkar, A. Ghosh, R. Singh, and N. Chourasia, “Radar cross-section measurement techniques.,” Defence Science Journal, vol. 60, no. 2, 2010.
[4] C. M. STudio, “C st studio suite 2013,” Computer Simulation Technology AG, 2013.
[5] R. A. Kennedy and P. Sadeghi, Hilbert space methods in signal processing. Cambridge University Press, 2013.
[6] M. A. Wieczorek and M. Meschede, “Shtools: Tools for working with spherical harmonics,” Geochemistry, Geophysics, Geosystems, vol. 19, no. 8, pp. 2574–2592, 2018.
[7] J. J. Sakurai and E. D. Commins, “Modern quantum mechanics, revised edition,” 1995.
[8] J. A. Tropp and A. C. Gilbert, “Signal recovery from random measurements via orthogonal matching pursuit,” IEEE Transactions on information theory, vol. 53, no. 12, pp. 4655–4666, 2007.
[9] R. Okada, “B787-8 dreamliner.” Online. https://grabcad.com/library/ b787-8-dreamliner-1 Accessed October 27, 2020.