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An adaptive order statistic constant false alarm rate detector

IEEE International Conference on Systems Engineering, 1989
An adaptive order statistic (AOS) detector is proposed which acts as an order statistic detector but whose parameter k is chosen according to the outcome of a hypothesis test that attempts to detect the presence of a clutter power transition within each reference window.
null Gandhi, null Kassam
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Signature adaptive mine detection at a constant false alarm rate

SPIE Proceedings, 2001
A constant false alarm rate algorithm has been developed for use in multi-band mine detection. While it is often difficult to predict the spectral signatures of targets, the shape of the target may be known. This test exploits geometric target features and spectral differences between the target and the surrounding area. The algorithm is derived from a
Frank J. Crosby, Steve Riley
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Constant False Alarm Rate Detection of Multicarrier Signals With Periodic Power Boosting

IEEE Transactions on Cognitive Communications and Networking, 2018
Given the prevalence of multicarrier waveforms in wireless systems, the sensing of such signals is of high importance for cognitive radio applications. In this paper, we exploit periodic power boosting of subcarriers in multicarrier signals which is applied, e.g., in LTE to improve the performance of sensing compared to state-of-the-art schemes under ...
Prasanth Karunakaran   +1 more
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General transformation approach for constant false alarm rate detector development

Digital Signal Processing, 2014
Abstract A general result is derived, allowing the transformation of incoherent constant false alarm rate detection processes from a given clutter environment to that of any clutter model of interest. This generalises recent work where detection processes for Pareto distributed clutter are developed in a similar way.
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Low-Loss Almost Constant False-Alarm Rate Processors

IEEE Transactions on Aerospace and Electronic Systems, 1979
Conventional normalizing constant false-alarm rate (CFAR) circuits use the same configurations when detecting targets in interference regions and in clear regions. The CFAR penalty incurred in the clear region can be reduced by using CFAR processors that recognize the region is clear so that normalization is not necessary.
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Learning a linear ordered-statistic constant false-alarm rate detector

Journal of the Acoustical Society of America, 2016
The linear ordered statistic (LOS) is a parametrized ordered statistic (OS) that is a weighted average of a rank-ordered sample. LOS operators are useful generalizations of aggregation as they can represent any aggregation, from minimum to maximum, including conventional aggregations, such as mean and median.
Timothy C. Havens   +3 more
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Constant-False-Alarm-Rate Processors for Locally Nonstationary Clutter

IEEE Transactions on Aerospace and Electronic Systems, 1973
A technique for designing normalizing processors for locally non-stationary clutter is discussed. The design procedure assumes the logarithm of the clutter power varies as a polynomial with range. When the actual environment matches the design environment, the false-alarm rate is a constant that is independent of the polynomial coefficients.
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Constant false alarm rate acquisition algorithm for Compass B1C signal

China Communications, 2019
In order to improve the sensitivity of the Compass B1C signal acquisition for the receiver, the principle of constant false alarm rate (CFAR) is applied for the B1C pilot channel acquisition to realize the dynamic adjustment of the threshold of acquisition against the carrier to noise ratio.
Wengang Li   +3 more
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Signature adaptive target detection and threshold selection for constant false alarm rate

Journal of Electronic Imaging, 2005
A constant false alarm rate (CFAR) detection algorithm and a threshold selection algorithm are adapted and developed for use in multiband-image small-target detection. While it is often difficult to predict the spectral signatures of targets, the shape of the target may be known.
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A Multi-Beam Seafloor Constant False Alarm Detection Method Based on Weighted Element Averaging

Journal of Marine Science and Engineering, 2023
Guanying Huo, Chao Li, Wang Jian
exaly  

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