Generalized multiple scatterer algorithm for ISAR phase compensation

Autor:	H.Q. Wu, Gilles Y. Delisle
Rok vydání:	2002
Předmět:	Synthetic aperture radar Computer science business.industry Pulse-Doppler radar Side looking airborne radar Inverse synthetic aperture radar Continuous-wave radar Bistatic radar Radar imaging Image noise Computer vision Artificial intelligence business Algorithm
Zdroj:	Proceedings of IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting.
Popis:	In inverse synthetic aperture radar (ISAR) imaging, the random phase errors of the inverse synthetic aperture must be compensated. This paper presents a generalized multiple scatterer algorithm (GMSA) for ISAR phase compensation. Experimental data processing and simulations show that the image noise can be reduced significantly with the proposed method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dd1f59e111eadac520f24769b9af211d https://doi.org/10.1109/aps.1994.408094 Zobrazit plný text záznamu