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 presented, as well as some basics concerning the channel statistics and the transmission of an OFDM signal over a multipath channel. In Chapter 2, the proposed iterative algorithm for the noise variance and the channel estimation is detailed, and in Chapter 3, an application of the algorithm for the free-band detection is proposed. In both Chapters 2 and 3, the principle of the algorithm is presented in a simple way, and more elaborate developments are also provided. The different assumptions and assertions in the developments and the performance of the proposed method are validated through simulations, and compared to methods of the scientific literature.
"Sinopsis" puede pertenecer a otra edición de este libro.
Vincent Savaux is a post doctorate at Supélec in Rennes, France. He has worked in the SCEE (Signal, Communications and Embedded Electronics) team since the beginning of 2014.
Yves Louët is Professor at Supélec (SCEE team) in Rennes, France. His research activities concern the physical layer of multicarrier communication systems applied to intelligent and green radio.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 17,08 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoEUR 17,08 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoLibrería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 21589725-n
Cantidad disponible: 20 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781848216976_new
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FW-9781848216976
Cantidad disponible: 7 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 21589725
Cantidad disponible: 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 21589725-n
Cantidad disponible: 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 21589725
Cantidad disponible: 20 disponibles
Librería: moluna, Greven, Alemania
Gebunden. Condición: New. InhaltsverzeichnisINTRODUCTION ix CHAPTER 1. BACKGROUND AND SYSTEM MODEL 1 1.1. Channel model 1 1.1.1. The multipath channel 1 1.1.2. Statistics of the channe l2 1.2. Transmission of an OFDM signal 7 1.2.1. Continuous representat. Nº de ref. del artículo: 597091491
Cantidad disponible: 5 disponibles
Librería: INDOO, Avenel, NJ, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 9781848216976
Cantidad disponible: Más de 20 disponibles
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condición: New. Num Pages: 132 pages, black & white illustrations. BIC Classification: TJKW. Category: (P) Professional & Vocational. Dimension: 242 x 158 x 14. Weight in Grams: 356. . 2014. 1st Edition. Hardcover. . . . . Nº de ref. del artículo: V9781848216976
Cantidad disponible: 15 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Hardback. Condición: New. New copy - Usually dispatched within 4 working days. 395. Nº de ref. del artículo: B9781848216976
Cantidad disponible: 7 disponibles