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MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems.

This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a u...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Savaux, Vincent
Otros Autores: Lou?t, Yves
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2014.
Colección:Focus series (London, England)
Temas:
Acceso en línea:Texto completo

MARC

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049 |a UAMI 
100 1 |a Savaux, Vincent. 
245 1 0 |a MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems. 
260 |a Hoboken :  |b Wiley,  |c 2014. 
300 |a 1 online resource (138 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Focus Series,  |x 2051-249X 
588 0 |a Print version record. 
520 |a This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a user in a frequency band, by achieving a quasi-optimal channel and noise variance estimation if the signal is present, and by estimating the noise level in the band if the signal is absent. Organized into three chapters, the first chapter provides the background against which the system model is pr. 
504 |a Includes bibliographical references and index. 
505 0 |a Cover Page; Half-Title Page; Title page; Copyright page; Contents; Introduction; 1: Background and System Model; 1.1. Channel model; 1.1.1. The multipath channel; 1.1.2. Statistics of the channel; 1.1.2.1. Rayleigh channel; 1.1.2.2. WSSUS model; 1.2. Transmission of an OFDM signal; 1.2.1. Continuous representation; 1.2.2. Discrete representation; 1.2.3. Discrete representation under synchronization mismatch; 1.3. Pilot symbol aided channel and noise estimation; 1.3.1. The pilot arrangements; 1.3.2. Channel estimation; 1.3.2.1. LS estimation; 1.3.2.2. LMMSE estimation. 
505 8 |a 2.1.3.3.1. Polynomial expression of the problem to solve 2.1.3.3.2. Sign of the polynomial considering R_H; 2.1.3.3.3. Sign of the polynomial considering R ̆_H; 2.1.3.4. Characterization of the channel and noise estimations; 2.1.4. Simulation results: ideal approach; 2.1.4.1. Convergence of the noise variance estimation; 2.1.4.2. Speed of convergence of the algorithm; 2.1.4.3. Bias of the noise variance estimation; 2.1.4.4. Comparison of SNR estimation with other methods; 2.1.4.5. Channel estimation; 2.2. Algorithm in a practical approach; 2.2.1. Proposed algorithm: realistic approach. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Orthogonal frequency division multiplexing. 
650 0 |a Signal processing  |x Digital techniques. 
650 0 |a Wireless communication systems. 
650 6 |a Multiplexage par répartition orthogonale de la fréquence. 
650 6 |a Traitement du signal  |x Techniques numériques. 
650 6 |a Transmission sans fil. 
650 7 |a Orthogonal frequency division multiplexing  |2 fast 
650 7 |a Signal processing  |x Digital techniques  |2 fast 
650 7 |a Wireless communication systems  |2 fast 
700 1 |a Lou?t, Yves. 
758 |i has work:  |a MMSE-based algorithm for joint signal detection, channel and noise variance estimation for OFDM systems (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGJt4r3WPPJyPG4qxJrQbd  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Savaux, Vincent.  |t MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems.  |d Hoboken : Wiley, ©2014  |z 9781848216976 
830 0 |a Focus series (London, England) 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1800884  |z Texto completo 
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