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Báo cáo hóa học: " Research Article Introducing Switching Ordered Statistic CFAR Type I in Different Radar Environments"

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 Introducing Switching Ordered Statistic CFAR Type I in Different Radar Environments | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 525704 11 pages doi 10.1155 2009 525704 Research Article Introducing Switching Ordered Statistic CFAR Type I in Different Radar Environments Saeed Erfanian and Vahid Tabataba Vakili Electrical Engineering Department Iran University of Science Technology IUST Narmak Tehran 16846 Iran Correspondence should be addressed to Saeed Erfanian s_erfanian@iust.ac.ir Received 22 September 2008 Revised 3 December 2008 Accepted 17 February 2009 Recommended by M. Greco In this paper a new CFAR detector based on a switching algorithm and OS-CFAR for nonhomogeneous background environments is introduced. The new detector is named Switching Ordered Statistic CFAR type I SOS CFARI . The SOS CFAR I selects a set of suitable cells and then with the help of the ordering method estimates the unknown background noise level. The proposed detector does not require any prior information about the background environment and uses cells with similar statistical specifications to estimate the background noise. The performance of SOS CFARI is evaluated and compared with other detectors such as CA-CFAR GO-CFAR SO-CFAR and OS-CFAR for the Swerling I target model in homogeneous and nonhomogeneous noise environments such as those with multiple interference and clutter edges. The results show that SOS CFAR I detectors considerably reduce the problem of excessive false alarm probability near clutter edges while maintaining good performance in other environments. Also simulation results confirm the achievement of an optimum detection threshold in homogenous and nonhomogeneous radar environments by the mentioned processor. Copyright 2009 S. Erfanian and V. Tabataba Vakili. 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 A .