NDLI: Fast converging adaptive detection of Doppler-shifted, range-distributed targets

Content Provider	IEEE Xplore Digital Library
Author	Gerlach, K. Steiner, M.J.
Copyright Year	1991
Abstract	A generalized likelihood ratio test (GLRT) for the adaptive detection of a target or targets that are Doppler-shifted and distributed in range is derived. The unknown parameters associated with the hypothesis test are the complex amplitudes in range of the desired target and the unknown covariance matrix of the additive interference, which is assumed to be characterized as complex zero-mean correlated Gaussian random variables. The target's or targets' complex amplitudes are assumed to be distributed across the entire input data block (sensor /spl times/ range). The unknown covariance matrix is constrained to have the reasonable form of the identity matrix (the internal noise contribution) plus an unknown positive semidefinite (psdh) matrix (the external interference contribution). It is shown via simulation for a variety of interference scenarios that the new detector has the characteristic of having a bounded constant false alarm rate (CFAR), i.e., for our problem, the probability of false alarm P/sub F/ for a given detection threshold is bounded by the P/sub F/ that results when no external interference is present. It is also shown via simulation that the new detector converges relatively fast with respect to the number of sample vectors K necessary in order to achieve a given probability of detection P/sub D/.
Sponsorship	IEEE Signal Processing Society
Starting Page	2686
Ending Page	2690
Page Count	5
File Size	220911
File Format	PDF
ISSN	1053587X
Volume Number	48
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Covariance matrix Interference Testing Adaptive signal detection Radar scattering Radar detection Spatial resolution Random variables Degradation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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