Open Access

CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory

EURASIP Journal on Advances in Signal Processing20102010:969751

Received: 1 July 2009

Accepted: 11 February 2010

Published: 30 March 2010


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.

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Authors’ Affiliations

Air Systems Research Center, Technical R & D Institute, Ministry of Defense


© H. Yamaguchi and W. Suganuma. 2010

This article is published under license to BioMed Central Ltd. 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.