detección de espectro para radio cognitiva spectrum sensing for cognitive radio

Clicks: 208
ID: 226146
2012
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Abstract
Este artículo centra su atención en la capa física de las redes de radio cognitiva (CR), es decir, en las técnicas que se utilizan para detectar la presencia o ausencia de usuarios licenciados en las diferentes bandas del espectro electromagnético. Las técnicas presentadas, con sus ventajas y desventajas, están organizadas jerárquicamente como: técnicas fundamentales (detección de energía, filtro adaptado y características ciclo-estacionarias), técnicas basadas en las fundamentales o evolución (detección de forma de onda, identificación del radiotransmisor, detección de la potencia de fuga en el receptor) y técnicas alternativas típicas del análisis de imágenes (transformada Hough y Wavelet). Adicionalmente se describen los retos principales en la detección de usuarios licenciados junto con las diferentes dimensiones en las que se pueden hallar oportunidades de uso espectral eficiente por parte de los dispositivos de radio cognitiva.
This survey article focuses on the physical layer for cognitive radio (CR) networks, namely the techniques to detect the presence/absence of licensed users in the different spectrum bands. The techniques presented in this article, including their advantages and disadvantages, are organized in a hierarchical fashion as follows: fundamental detection techniques (energy-based detection, matched filter, and cyclostationarity features), fundamental-detection-based techniques (waveform detection, radio identification, local-oscillator leakage power), and alternative techniques that are typical of the image analysis domain (Hough and Wavelet transforms). Additionally, the main challenges associated to licensed user detection are described together with the various spectral dimensions where cognitive radio devices can find new spectrum opportunities.
Reference Key
pedraza2012ingeniaredeteccin Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Luis Fernando Pedraza;Felipe Forero;Ingrid Patricia Páez
Journal international journal of electrical and computer engineering
Year 2012
DOI
DOI not found
URL
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052012000200007
Keywords
cognitive radio spectrum sensing management engineering

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