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 CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 969751 12 pages doi 2010 969751 Research Article CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory Hiroyuki Yamaguchi and Wataru Suganuma Air Systems Research Center Technical R D Institute Ministry of Defense 1-2-10 Sakae Tachikawa Tokyo 190-8533 Japan Correspondence should be addressed to Hiroyuki Yamaguchi yama@ Received 1 July 2009 Revised 12 December 2009 Accepted 11 February 2010 Academic Editor Martin Ulmke Copyright 2010 H. Yamaguchi and W. Suganuma. 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. We propose a new constant false alarm rate CFAR detection method from noncoherent radar echoes considering heterogeneous sea clutter. It applies the Bayesian theory for adaptive estimation of the local clutter statistical distribution in the cell under test. The detection technique can be readily implemented in existing noncoherent marine radar systems which makes it particularly attractive for economical CFAR detection systems. Monte Carlo simulations were used to investigate the detection performance and demonstrated that the proposed technique provides a higher probability of detection than conventional techniques such as cell averaging CFAR CA-CFAR especially with a small number of reference cells. 1. Introduction Noncoherent radar systems are widely used in applications such as ship navigation and radar signal detection from sea clutter has been the subject of intense research for a number of years. Considerable experimental and theoretical investigations have studied the feasibility of detection with a constant false alarm rate CFAR . In CFAR detection the local sea clutter power in a range cell under test CUT is adaptively estimated from samples adjacent to the .
