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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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Somerset
Wiley
2014
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Ausgabe: | 1st ed |
Schlagworte: | |
Zusammenfassung: | 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 |
Beschreibung: | Description based on publisher supplied metadata and other sources |
Beschreibung: | 1 online resource (138 pages) |
ISBN: | 9781119007890 9781119005087 |
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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 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 | ||
650 | 4 | |a Orthogonal frequency division multiplexing | |
650 | 4 | |a Signal processing -- Digital techniques | |
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700 | 1 | |a Louët, Yves |e Sonstige |4 oth | |
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Datensatz im Suchindex
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any_adam_object | |
author | Savaux, Vincent |
author_facet | Savaux, Vincent |
author_role | aut |
author_sort | Savaux, Vincent |
author_variant | v s vs |
building | Verbundindex |
bvnumber | BV043612647 |
collection | ZDB-30-PQE ZDB-38-ESG |
ctrlnum | (ZDB-30-PQE)EBC1800884 (ZDB-89-EBL)EBL1800884 (ZDB-38-EBR)ebr10945009 (OCoLC)892243939 (DE-599)BVBBV043612647 |
dewey-full | 621.38216 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.38216 |
dewey-search | 621.38216 |
dewey-sort | 3621.38216 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
edition | 1st ed |
format | Electronic eBook |
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id | DE-604.BV043612647 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:30:53Z |
institution | BVB |
isbn | 9781119007890 9781119005087 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029026706 |
oclc_num | 892243939 |
open_access_boolean | |
physical | 1 online resource (138 pages) |
psigel | ZDB-30-PQE ZDB-38-ESG |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Wiley |
record_format | marc |
spelling | Savaux, Vincent Verfasser aut MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems 1st ed Somerset Wiley 2014 © 2014 1 online resource (138 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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 Orthogonal frequency division multiplexing Signal processing -- Digital techniques Wireless communication systems Louët, Yves Sonstige oth Louet, Yves Sonstige oth Erscheint auch als Druck-Ausgabe Savaux, Vincent MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
spellingShingle | Savaux, Vincent MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems Orthogonal frequency division multiplexing Signal processing -- Digital techniques Wireless communication systems |
title | MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
title_auth | MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
title_exact_search | MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
title_full | MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
title_fullStr | MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
title_full_unstemmed | MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
title_short | MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems |
title_sort | mmse based algorithm for joint signal detection channel and noise variance estimation for ofdm systems |
topic | Orthogonal frequency division multiplexing Signal processing -- Digital techniques Wireless communication systems |
topic_facet | Orthogonal frequency division multiplexing Signal processing -- Digital techniques Wireless communication systems |
work_keys_str_mv | AT savauxvincent mmsebasedalgorithmforjointsignaldetectionchannelandnoisevarianceestimationforofdmsystems AT louetyves mmsebasedalgorithmforjointsignaldetectionchannelandnoisevarianceestimationforofdmsystems |