Results 181 to 190 of about 2,768,391 (211)
Some of the next articles are maybe not open access.
CFAR detection and estimation for STAP radar
IEEE Transactions on Aerospace and Electronic Systems, 1998The algorithm presented here provides both a constant false-alarm rate (CFAR) detection and a maximum likelihood (ML) Doppler-bearing estimator of a target in a background of unknown Gaussian noise. A target is detected, and its parameters estimated within each range gate by evaluating a statistical test for each Doppler-angle cell and by selecting the
I.S. Reed, Y.L. Gau, T.K. Truong
openaire +1 more source
CFAR Detection in Clutter With a Kronecker Covariance Structure
IEEE Transactions on Aerospace and Electronic Systems, 2017In this paper, an approach for the design and analysis of coherent constant false alarm rate (CFAR) detectors in clutter and interference with a Kronecker covariance structure is described. In a two-dimensional example considered, the interference-plus-noise matrix ${\mathbf X} \in {\mathbb{C}}^{N \times L}$ is modeled by a doubly correlated, zero ...
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
Design and Implementation of a CFAR Processor for Target Detection
2004Real-time performance of adaptive digital signal processing algorithms is required in many applications but it often means a high computational load for many conventional processors. In this paper, we present a configurable hardware architecture for adaptive processing of noisy signals for target detection based on Constant False Alarm Rate (CFAR ...
César Torres-Huitzil +2 more
openaire +1 more source
2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010
In automatic target detection radars, adaptive constant false alarm rate (CFAR) processors, which determine the threshold, are examined. Two techniques are used for achieving the required CFAR. The first technique determines the adaptive threshold using range neighbouring cells which are located in sliding window. The second one is based on clutter map.
Mustafa Mutlu Can, Mucahit Uner
openaire +1 more source
In automatic target detection radars, adaptive constant false alarm rate (CFAR) processors, which determine the threshold, are examined. Two techniques are used for achieving the required CFAR. The first technique determines the adaptive threshold using range neighbouring cells which are located in sliding window. The second one is based on clutter map.
Mustafa Mutlu Can, Mucahit Uner
openaire +1 more source
Optimal CFAR detection in Weibull clutter
IEEE Transactions on Aerospace and Electronic Systems, 1995Optimal, in the maximum likelihood sense, constant false-alarm rate (CFAR) detection for Weibull clutter statistics, is investigated. The proposed OW (optimal Weibull) estimator is proved to be an asymptotically efficient estimator of the mean power of the Weibull clutter.
V. Anastassop, G.A. Lampropoulos
openaire +1 more source
CFAR detection for multiple target situations
IEE Proceedings F Radar and Signal Processing, 1989In the paper, three detectors are proposed and studied in the presence of interfering targets in the reference cells. In the weighted cell-averaging constant false-alarm rate (WCA-CFAR) detector the means generated by the leading and the lagging range cells are weighted in accordance with the level of the interference.
M. Barkat, S.D. Himonas, P.K. Varshney
openaire +1 more source
CFAR adaptive detection of distributed signals
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005We consider the problem of detecting distributed signals described by the second order Gaussian models in the presence of noise whose covariance structure and level are both unknown. Such a detection problem is often called the "Gauss-Gauss" problem in that both the signal and the noise are assumed to have Gaussian distributions.
null Yuanwei Jin, B. Friedlander
openaire +1 more source
On CFAR detection of correlated radar signals
Proceedings of the 28th IEEE Conference on Decision and Control, 2003Two constant false alarm rate (CFAR) detectors are proposed for time-diversity and multiple-target situations. The first CFAR detector considered is the generalized censored mean level detector (GCMLD), which has been shown to exhibit excellent capabilities in rejecting interfering targets in homogeneous background noise for single pulse processing ...
S.D. Himonas, M. Barkat
openaire +1 more source
Generalized CFAR property for radar detection
2013 IEEE Radar Conference (RadarCon13), 2013We consider adaptive detection of a signal embedded in additive disturbance whose multivariate distribution belongs to a very general class, including many statistical models commonly adopted for radar interference. We introduce the concept of generalized Constant False Alarm Rate (CFAR) and show that a class of receivers sharing some invariances ...
openaire +2 more sources

