Simulation Results Of An Improved Rain-rate Retrieval Algorithm For A Spaceborne Rain Radar

Kieu, Duc; Moore, R. K.

doi:10.1109/igarss.1992.576657

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“…1). Such a configuration could be of interest to model a rain column, which is usually considered as made by three regions [7]. More in detail, experiments consider three different test cases, i.e., a profile consisting of very sparse and very dense layers in alternated succession, Q R = {0.05, 0.35, 0.05}, a sparse profile, Q R = {0.05, 0.15, 0.05}, and a dense profile, The PSO parameters values are given in Table I and have been chosen following the guidelines provided in [12].…”

Section: Numerical Validationmentioning

confidence: 99%

Particle Density Retrieval in Random Media Using a Percolation Model and a Particle Swarm Optimizer

Martini

Donelli

Franceschetti

et al. 2008

Antennas Wirel. Propag. Lett.

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This letter is a first 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.

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Section: Numerical Validationmentioning

confidence: 99%