portada Mmse-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for Ofdm Systems (en Inglés)

Mmse-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for Ofdm Systems (en Inglés)

Formato

Libro Físico

Autor

Vincent Savaux

Yves Louët

Editorial

Wiley-Iste

Idioma

Inglés

N° páginas

136

Encuadernación

Tapa Dura

Dimensiones

23.6x16.3x1.3 cm

Peso

0.36 kg.

ISBN13

9781848216976

Categorías

Ingeniería de las comunicaciones/las telecomunicaciones
Algoritmos y estructuras de datos

Mmse-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for Ofdm Systems (en Inglés)

Vincent Savaux (Autor) · Yves Louët (Autor) · Wiley-Iste · Tapa Dura

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Reseña del libro "Mmse-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for Ofdm Systems (en Inglés)"

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.