Description: MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM SystemsAuthor(s): Vincent Savaux, Yves Louet Format: Hardback Publisher: ISTE Ltd and John Wiley & Sons Inc, United Kingdom Imprint: ISTE Ltd and John Wiley & Sons Inc ISBN-13: 9781848216976, 978-1848216976 Synopsis 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.
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Book Title: MMSE-Based Algorithm for Joint Signal Detection, Channel and N...
Number of Pages: 136 Pages
Language: English
Publication Name: MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems
Publisher: Iste LTD AND John Wiley & Sons INC International Concepts
Publication Year: 2014
Subject: Engineering & Technology
Item Height: 237 mm
Item Weight: 354 g
Type: Textbook
Author: Yves Louet, Vincent Savaux
Item Width: 173 mm
Format: Hardcover
