MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance; Vincent Savaux, Yves Louòt; 2014
endast ny

MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Upplaga 1

av Vincent Savaux, Yves Louòt
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.
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.
Upplaga: 1a upplagan
Utgiven: 2014
ISBN: 9781848216976
Förlag: John Wiley & Sons
Format: Häftad
Språk: Engelska
Sidor: 208 st
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.
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.
Ny bok
1916 kr2016 kr
5% studentrabatt med Studentapan
Begagnad bok (0 st)

Om MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance (2014)

I november 2014 släpptes boken MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance skriven av Vincent Savaux, Yves Louòt. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 208 sidor djupgående information. Förlaget bakom boken är John Wiley & Sons som har sitt säte i Hoboken.

Köp boken MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance direkt från en annan student på Studentapan och spara pengar.

Bokens omdömen
Ingen har recenserat den här boken ännu.

Sälj vidare boken när du är klar

När du är klar med boken säljer du enkelt vidare och tjänar pengar på nolltid med Studentapan. Vi tar hand om allt det krångliga så att du får mer tid över till annat. På det sättet kan du tjäna tillbaka det mesta av kostnaden för boken.
Värdera & sälj böcker

Klimatsmart kurslitteratur

Bli en miljöhjälte under din studietid och ge dina gamla kursböcker ett nytt liv. Genom att återanvända dina kursböcker minskar du utsläppen av koldioxid (CO2) med hela 59%. För en psykologstudent skulle det innebära minskade CO2-utsläpp med cirka 240 kg under studietiden. En stor vinst för din plånbok och miljön. Det kallar vi klimatsmart kurslitteratur.

Liknande kurslitteratur

Ny bok
1916 kr2016 kr
5% studentrabatt med Studentapan
Begagnad bok (0 st)