Results 151 to 160 of about 4,494 (215)
Covariance Matrix Estimation for Adaptive CFAR Detection
, 2002 CONTE, ERNESTO, A. DE MAIO, G. RICCI
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CFAR detection for multistatic radar
2008 International Radar Symposium, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vahideh Amanipour, Ali Olfat
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CFAR detection of multidimensional signals: an invariant approach
IEEE Transactions on Signal Processing, 2003 The paper deals with constant false alarm rate (CFAR) detection of multidimensional signals embedded in Gaussian noise with unknown covariance. We attack the problem by resorting to the principle of invariance,which proves a valuable statistical tool for ensuring a priori, namely at the design stage, the CFAR property.
CONTE, ERNESTO +2 more
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Performance of decentralized L-CFAR detection in inhomogeneous background
IEEE Transactions on Aerospace and Electronic Systems, 2000 The problem of decentralized constant false alarm rate (CFAR) detection, with L-CFAR remote sensors, is considered. Following a previous paper, concerning the design and the analysis of such detection structure in homogeneous environment, we now assume that a detector, designed to operate with homogeneous background, is affected instead by clutter ...
MARANO, Stefano +2 more
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, 2002 We describe here a generic approach to CFAR processing, introduced in [74], which results in detection algorithms that tend to be robust to inhomogeneities in radar clutter. Termed as ensemble- or E-CFAR detection, it combines members from the family of known CFAR processors. It is simple and easy to implement.
Rajan Srinivasan
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Adaptive censored greatest-of CFAR detection
IEE Proceedings, Part F: Radar and Signal Processing, 1992A new CFAR detection algorithm in which two tentative estimates of the noise level in the test cell are obtained by independently processing the outputs of the leading and the lagging cells is proposed and studied. The two tentative estimates are obtained by employing a cell-by-cell criterion for accepting or rejecting reference samples.
S D Himonas
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Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037], 2002 A parametric procedure for k-stage radar detection realizing CFAR mode in conditions of clutter with unknown power is offered. This procedure uses an estimate of clutter intensity /spl sigma/ in a "sliding window" of size m for adaptation of (2k-1) thresholds taking into account (2k-1) scale factors.
Y.G. Sosulin, K.Yu. Gavrilov
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