eprintid: 378 rev_number: 4 eprint_status: archive userid: 5 dir: disk0/00/00/03/78 datestamp: 2011-03-16 lastmod: 2013-06-28 14:48:30 status_changed: 2013-06-28 14:48:30 type: techreport metadata_visibility: show item_issues_count: 0 creators_name: Martini, Anna creators_name: Donelli, Massimo creators_name: Franceschetti, Massimo creators_name: Massa, Andrea title: Particle Density Retrieval in Random Media Using a Percolation Model and a Particle Swarm Optimizer ispublished: pub subjects: TU full_text_status: public keywords: Percolation theory, Stratified random media, Particle Swarm Optimizers (PSOs), Remote sensing abstract: This letter is a rst attempt to apply a percolation theory model to the estimation of the density of particles in complex layered two-dimensional media from electromagnetic measurements. A procedure based on an analytical closed-form description of the wave propagation process is presented. The problem is recast as an iterative optimization one and solved by means of a particle swarm optimizer. Numerical experiments show the validity of the proposed solution. (c) 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. date: 2011-01 date_type: published institution: University of Trento department: informaticat refereed: TRUE referencetext: [1] A. Ishimaru. Wave propagation and scattering in random media, IEEE Press, Piscataway, 1997. [2] G. Franceschetti, S. Marano, and F. Palmieri, “Propagation without wave equation toward an urban area model, ” IEEE Trans. Antennas Propag., vol. 47, pp. 1393-1404, 1999. [3] I. Hosako et al., “At the dawn of a new era in terahertz technology,” Proc. IEEE, vol. 95, pp. 1611-1623, 2007. [4] G. Grimmett. Percolation, Springer-Verlag, New York, 1989. [5] A. Martini, M. Franceschetti, and A. Massa, “Stochastic ray propagation in stratified random lattices,” IEEE Antennas Wireless Propag. Lett., vol. 6, pp. 232-235, 2007. [6] A. Martini, M. Franceschetti, and A. Massa, “A hybrid approach for modeling stochastic ray propagation in stratified random lattices,” Microwave Opt. Technol. Lett., vol. 49, pp. 3068-3073, 2007. [7] D. C. Kieu and R. K. Moore, “Simulation results of an improved rain-rate retrieval algorithm for a spaceborne rain radar,” Proc. IGARSS’92, vol. 2, pp. 1373-1375, 1992. [8] D. E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, 1989. [9] J. Kennedy, R. C. Eberhart, and Y. Shi. Swarm Intelligence, Morgan Kaufmann, San Francisco, 2001. [10] M. Bertero and P. Boccacci. Introduction to inverse problems in imaging, Institute of Physics Publishing, Bristol, 1998. [11] J. Robinson and and Y. Rahmat-Samii, “Particle swarm optimization in electromagnetics,” IEEE Trans. Antennas Propagat., vol. 52, pp. 397-407, 2004. [12] R. C. Eberhart and Y. Shi, “Particle swarm optimization: developments, applications and resources,” Proc. Cong. Evol. Comput., pp. 81-86, 2001. citation: Martini, Anna and Donelli, Massimo and Franceschetti, Massimo and Massa, Andrea (2011) Particle Density Retrieval in Random Media Using a Percolation Model and a Particle Swarm Optimizer. [Technical Report] document_url: http://www.eledia.org/students-reports/378/1/DISI-11-049.R142.pdf