SNR Channel Estimation: Improved SNR estimation techniques for BPSK and QPSK Modulation - Couverture souple

Khan, Muhammad Fawad

 
9783847331742: SNR Channel Estimation: Improved SNR estimation techniques for BPSK and QPSK Modulation
Couverture souple
ISBN 10 : 3847331744 ISBN 13 : 9783847331742
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

In this book, a technique is proposed in order to estimate the signal to noise ratio (SNR) over a satellite link for fade mitigation techniques (FMT) applications. The channel state of RF link is best provided as SNR estimate of the received signal. And this type of channel state is utilized by satellite capacity optimization techniques like adaptive coding and modulation which comes under the hood of FMT applications. The performance of the SNR algorithm, used as the channel state estimator, directly impacts the efficiency of the FMT. The SNR estimation technique that we implements use non-data aided technique in which the transmitted symbols are unknown by the receiver, in order to estimate SNR in additive white Gaussian noise (AWGN) channel. Here I analyzed the performance of this technique for both BPSK and QPSK modulation by deriving their normalized mean square error (NMSE) and comparing it with the results of existing algorithms such as M2M4 moments based estimator and our estimator. Moreover, we discuss how SNR estimates can be used to approximate the NMSE and how the accuracy of the SNR estimate is related to that of the NMSE estimate.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In this book, a technique is proposed in order to estimate the signal to noise ratio (SNR) over a satellite link for fade mitigation techniques (FMT) applications. The channel state of RF link is best provided as SNR estimate of the received signal. And this type of channel state is utilized by satellite capacity optimization techniques like adaptive coding and modulation which comes under the hood of FMT applications. The performance of the SNR algorithm, used as the channel state estimator, directly impacts the efficiency of the FMT. The SNR estimation technique that we implements use non-data aided technique in which the transmitted symbols are unknown by the receiver, in order to estimate SNR in additive white Gaussian noise (AWGN) channel. Here I analyzed the performance of this technique for both BPSK and QPSK modulation by deriving their normalized mean square error (NMSE) and comparing it with the results of existing algorithms such as M2M4 moments based estimator and our estimator. Moreover, we discuss how SNR estimates can be used to approximate the NMSE and how the accuracy of the SNR estimate is related to that of the NMSE estimate.

Biographie de l'auteur

MSc in Mobile and Satellite Communication, Glamorgan UK 2009-10BSc Electrical Engineering, NWFP UET Peshawar 2004-08Lecturer (2011-12)University of Management & Technology UMT Lahore. (Sept. 2011)Research AreaSatellite Communication and Networking (FMT, Channel Estimation)Wireless 4G, MIMO, TCP/IP

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847331744
ISBN 13 
9783847331742
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
Personne responsable
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