MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems
Vincent Savaux
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Description for MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems
Hardback. Num Pages: 132 pages, black & white illustrations. BIC Classification: TJKW. Category: (P) Professional & Vocational. Dimension: 242 x 158 x 14. Weight in Grams: 356.
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 ... Read more
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Format
Hardback
Publication date
2014
Publisher
ISTE Ltd and John Wiley & Sons Inc
Condition
New
Number of Pages
136
Place of Publication
London, United Kingdom
ISBN
9781848216976
SKU
V9781848216976
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Vincent Savaux
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.
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