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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: Fast Iterative Subspace Algorithms for Airborne STAP Radar | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 37296 Pages 1-8 DOI 10.1155 ASP 2006 37296 Fast Iterative Subspace Algorithms for Airborne STAP Radar Hocine Belkacemi and Sylvie Marcos Laboratoire des Signaux etSystemes LSS CNRS Supelec 3 rue Joliot-Curie Plateau du Moulon Gif-sur-Yvette Cedex 91192 France Received 16 December 2005 Revised 30 May 2006 Accepted 16 July 2006 Space-time adaptive processing STAP is a crucial technique for the new generation airborne radar for Doppler spread compensation caused by the platform motion. We here propose to apply range cell snapshots-based recursive algorithms in order to reduce the computational complexity of the conventional STAP algorithms and to deal with a possible nonhomogeneity of the data samples. Subspace tracking algorithms as PAST PASTd OPAST and more recently the fast approximate power iteration FAPI algorithm which are time-based recursive algorithms initially introduced in spectral analysis array processing are good candidates. In this paper we more precisely investigate the performance of FAPI for interference suppression in STAP radar. Extensive simulations demonstrate the outperformance of FAPI algorithm over other subspace trackers of similar computational complexity. We demonstrate also its effectiveness using measured data from the multichannel radar measurements MCARM program. Copyright 2006 H. Belkacemi and S. Marcos. This is an open access article distributed underthe Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Space-time adaptive processing STAP is a technique for suppressing clutter and jamming in airborne radar 1 . Employing an adaptive array antenna spatial dimension and a coherent pulse processing interval CPI the joint spatiotemporal domain optimization can provide far superior interference mitigation compared to the
