TY - JOUR
T1 - Consistent CFAR detection of a linear signal based on partially consistent observations
AU - Friedmann, Jonathan
AU - Messer, Hagit
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2002/8
Y1 - 2002/8
N2 - This letter addresses the problem of consistent constant false-alarm rate (CFAR) detection based on partially consistent observations. The term "partially consistent observations" refers to the fact that the number of unknown parameters increases with the number of samples, and therefore, the number of observed samples is insufficient for consistent estimation of all parameters. Specifically, the problem of detecting a deterministic signal with unknown linear parameters in nonstationary white Gaussian noise is addressed. Two families of CFAR detectors are proposed; their consistency is discussed; and their performance is examined.
AB - This letter addresses the problem of consistent constant false-alarm rate (CFAR) detection based on partially consistent observations. The term "partially consistent observations" refers to the fact that the number of unknown parameters increases with the number of samples, and therefore, the number of observed samples is insufficient for consistent estimation of all parameters. Specifically, the problem of detecting a deterministic signal with unknown linear parameters in nonstationary white Gaussian noise is addressed. Two families of CFAR detectors are proposed; their consistency is discussed; and their performance is examined.
KW - Constant false-alarm rate (CFAR) detection
KW - Nonstationary noise
KW - Partially consistent observations
UR - http://www.scopus.com/inward/record.url?scp=0036699512&partnerID=8YFLogxK
U2 - 10.1109/LSP.2002.803009
DO - 10.1109/LSP.2002.803009
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AN - SCOPUS:0036699512
SN - 1070-9908
VL - 9
SP - 237
EP - 240
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 8
ER -