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Báo cáo hóa học: "Research Article Performance of Distributed CFAR Processors in Pearson Distributed Clutter"

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 Performance of Distributed CFAR Processors in Pearson Distributed Clutter | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 21825 7 pages doi 10.1155 2007 21825 Research Article Performance of Distributed CFAR Processors in Pearson Distributed Clutter Zoubeida Messali and Faouzi Soltani Departement d Electronique Faculte des Sciences de I Ingenieur Universite de Constantine Constantine 25000 Algeria Received 30 November 2005 Revised 17 July 2006 Accepted 13 August 2006 Recommended by Douglas Williams This paper deals with the distributed constant false alarm rate CFAR radar detection of targets embedded in heavy-tailed Pearson distributed clutter. In particular we extend the results obtained for the cell averaging CA order statistics OS and censored mean level CMLD CFAR processors operating in positive alpha-stable P S random variables to more general situations specifically to the presence of interfering targets and distributed CFAR detectors. The receiver operating characteristics of the greatest of GO and the smallest of SO CFAR processors are also determined. The performance characteristics of distributed systems are presented and compared in both homogeneous and in presence of interfering targets. We demonstrate via simulation results that the distributed systems when the clutter is modelled as positive alpha-stable distribution offer robustness properties against multiple target situations especially when using the OR fusion rule. Copyright 2007 Z. Messali and F. Soltani. 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. 1. INTRODUCTION In radar detection the goal is to automatically detect a target in a nonstationary noise and clutter while maintaining a constant probability of false alarm. Classical detection using a matched filter receiver and a fixed threshold is no longer applicable due to the nonstationary nature of