Spherical wave near-field imaging and radar cross-section measurement
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Rights accessOpen Access
The paper presents a new inverse synthetic aperture radar (ISAR) algorithm intended for radar cross-section (RCS) imaging and measurement from scattered fields. The method, based on a spherical-wave near-field illumination of the target, overcomes the requirement for an expensive compact range facility to produce a plane wave illumination. The formulation and the implementation of the algorithm are described. Some experimental results obtained in an anechoic chamber are presented to show RCS results similar to the conventional plane wave methods.
CitationBroquetas Ibars, A; Palau, J; Jofre Roca, L; Cardama Aznar, A. Spherical wave near-field imaging and radar cross-section measurement. IEEE Transactions on Antennas and Propagation, 1998, vol. 46, núm. 5, pàg. 730-735
Showing items related by title, author, creator and subject.
Pegram, Geoffrey; Llort Pavon, Xavier; Sempere Torres, Daniel (2011-05)
Restricted access - publisher's policyFor the purpose of generating meaningful stochastic ensembles of radar estimates of rainfall, a relatively simple and objective method of separating a radar rainfall image into signal and noise is described. An alternative ...
Angulo, M.; Gras, Ana; Ortega Villasclaras, Pablo Rafael; López Rodríguez, Gema; Ricart Campos, Jordi; Domínguez Pumar, Manuel; Castañer Muñoz, Luis María; Quero, J.M.; Tarrida, C. L.; Reina, M. (2010-10-10)
Open AccessThis paper describes the design, fabrication, characterization, and satellite integration of a miniaturized two axis sun sensor which has been used in the attitude control system of the Spanish nano-satellite NANOSAT-1B. ...
Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland Schiemann, Reinhard; Erdin, Rebecca; Willi, Marco; Frei, Christoph; Berenguer Ferrer, Marc; Sempere Torres, Daniel (2011-05-19)
Open AccessModelling spatial covariance is an essential part of all geostatistical methods. Traditionally, parametric semivariogram models are fit from available data. More recently, it has been suggested to use nonparametric ...