Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Multifrequency and Multistatic Inverse Synthetic Aperture Radar, with Application to FM Passive Radar | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 497074 13 pages doi 2010 497074 Research Article Multifrequency and Multistatic Inverse Synthetic Aperture Radar with Application to FM Passive Radar Guillaume Ginolhac Francoise Schmitt Franck Daout and Philippe Forster SATIE ENS CACHAN Universite Paris Sud 61 avenue du President Wilson 94235 Cachan France Correspondence should be addressed to Guillaume Ginolhac Received 27 April 2009 Accepted 20 October 2009 Academic Editor Carlos Lopez-Martinez Copyright 2010 Guillaume Ginolhac et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This paper deals with the imaging of a moving target using a multifrequency and multistatic radar consisting in one receiver and several narrowband transmitters. Considering two hypotheses about the studied target we derive two multistatic inverse synthetic aperture radar processors the first one which models the target as a set of isotropic points performs a coherent sum of bistatic images the second one which models the target as a set of nonisotropic points performs an incoherent sum of bistatic images. Numerical simulations are done which demonstrate the efficiency of the second processor. We also apply both processors to a multistatic passive radar scenario for which the transmitters are FM stations located in a realistic configuration. We study the system performance in terms of resolution and sidelobe levels as a function of the number of transmitters and of the integration time. Both processors are applied to similar complex targets for which the scattered fields are simulated by a numerical electromagnetic code. The resulting multistatic radar images show interesting characteristics that might be used by classification
