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Journal ArticleDOI

Threshold setting strategies for a quantized total power radiometer

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TLDR
The cell-averaging (CA) constant false-alarm rate threshold setting strategy is analyzed and the numerical results show that the CA strategy offers the desired false-Alarm probability.
Abstract
We analyze the impact of a uniform quantizer on the false-alarm probability of a total power radiometer. Different possibilities to set the detection threshold are discussed. The main emphasis is on methods that use the estimated noise level. In particular, we analyze the cell-averaging (CA) constant false-alarm rate threshold setting strategy. The numerical results show that the CA strategy offers the desired false-alarm probability.

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Citations
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Journal ArticleDOI

A survey of spectrum sensing algorithms for cognitive radio applications

TL;DR: In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented and the cooperative sensing concept and its various forms are explained.
Journal ArticleDOI

Improved energy detection spectrum sensing for cognitive radio

TL;DR: This work proposes and evaluates an improved version of the energy detection algorithm that is able to outperform the classical energy detection scheme while preserving a similar level of algorithm complexity as well as its general applicability regardless of the particular signal format or structure to be detected.
Journal ArticleDOI

Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues

TL;DR: This paper provides the current state of the art in survey-style and a taxonomy of the relevant work with detailed classification and mathematical modeling of various spectrum sensing schemes for complete cognitive cycle in an informational fashion.
Journal ArticleDOI

A comparative study of spectrum awareness techniques for cognitive radio oriented wireless networks

TL;DR: Cognitive functionality is introduced and an in-depth comparative survey of various spectrum awareness techniques in terms of their sensing accuracy and computational complexities along with their merits and demerits is provided.
Proceedings ArticleDOI

Comparative Performance Evaluation of Spectrum Sensing Techniques for Cognitive Radio Networks

TL;DR: Numerical result shows that at low signal to noise ratio (SNR), cyclostationary feature detection outperforms other two techniques, thus have some difficulties like implementation is complex, long observation time, etc.
References
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Journal ArticleDOI

Cognitive radio: brain-empowered wireless communications

TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Journal ArticleDOI

Energy detection of unknown deterministic signals

H. Urkowitz
TL;DR: By using Shannon's sampling formula, the problem of the detection of a deterministic signal in white Gaussian noise, by means of an energy-measuring device, reduces to the consideration of the sum of the squares of statistically independent Gaussian variates.
Journal ArticleDOI

Analysis of CFAR processors in homogeneous background

TL;DR: In this paper, five different constant false alarm rate (CFAR) radar processing schemes are considered and their performances analyzed in homogeneous and nonhomogeneous backgrounds, the latter specifically being the multiple target environment and regions of clutter transitions.
Book

Introduction to Electronic Warfare

TL;DR: All the radar detection and jamming equations you need to design and analyze search and track radars and discusses present and future trends in EW technology.
Book

Detectability of Spread-Spectrum Signals

TL;DR: In this article, the authors compared the performance of radiometer and channelized pulse-detection systems for detecting spread-sprectrum signals without knowledge of the pseudorandom code used to generate the signal.
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