Adaptive CFAR Processor For Nonhomogeneous Environments - Aerospace and Electronic Systems, IEEE Transactions on
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چکیده
0018-9251/00/$10.00 @ 2000 IEEE Use of a fixed threshold for the detection of radar signals results either in a degradation in the detection performance or an excessive increase in the FAR (false alarm rate), as a consequence of the variation in the background noise power. Therefore, using an adaptive threshold with the CFAR (constant FAR) property is unavoidable in most radar and automatic detection systems. Up to now, numerous CFAR processors are presented in the literature, each one designed to work in some particular environmental conditions. The most primitive CFAR processor is CA (cell averaging) or MLD (mean level detector). This processor has a poor performance in nonhomogeneous environments, i.e., in the presence of interfering targets or clutter power transition regions.
منابع مشابه
A New Class of Adaptive CFAR Methods for Nonhomogeneous Environments
The paper introduces a new class of adaptive CFAR methods to cope with the problem of outliers due to the presence of clutter edges and interfering targets. A fundamental distinction between the proposed approach and existing adaptive CFAR approaches is that in order to maintain robust performance the former uses information on positions at which estimated outlier-free cells appear in the full ...
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[1] Farina, A. (1992) Antenna-Based Signal Processing Techniques for Radar Systems. Norwood, MA: Artech House, 1992. [2] Compton, R. T. (1988) Adaptive Antennas–Concepts and Performance. Englewood Cliffs, NJ: Prentice Hall, 1988. [3] Monzingo, R. A., and Miller, T. W. (1980) Introduction to Adaptive Arrays. New York: Wiley, 1980. [4] Johnson, J. R., Fenn, A. J., Aumann, H. M., and Willwerth, F....
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