Low Density Parity Check Code for Next Generation Communication System: Advanced Broadcasting System for Satellite (ABS-S) - Couverture souple

Ardeshana, Mayank; Kothari, Dilip

 
9783845420417: Low Density Parity Check Code for Next Generation Communication System: Advanced Broadcasting System for Satellite (ABS-S)
Couverture souple
ISBN 10 : 3845420413 ISBN 13 : 9783845420417
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Channel coding provides the means of patterning signals so as to reduce their energy or bandwidth consumption for a given error performance. LDPC codes have been shown to have good error correcting performance which enables efficient and reliable communication. LDPC codes have linear decoding complexity but performance approaching close to shannon capacity with iterative probabilistic decoding algorithm. In this dissertation, the performance of different error correcting code such as convolution, Reed Solomon(RS), hamming, block code are evaluated based on different parameters like code rate, bit error rate (BER), Eb/No, complexity, coding gain and compare with LDPC code. In general, message passing algorithm and the sum-product algorithm are used to decode the message. We showed that logarithmic sum-product algorithm with long block length code reduces multiplication to addition by introducing logarithmic likelihood ratio so that it achieves the highest BER performance among all the decoding algorithms. The astonishing performance combined with proposed modified MS decoding algorithm make these codes very attractive for the next generations digital broadcasting system (ABS - S).

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

Présentation de l'éditeur

Channel coding provides the means of patterning signals so as to reduce their energy or bandwidth consumption for a given error performance. LDPC codes have been shown to have good error correcting performance which enables efficient and reliable communication. LDPC codes have linear decoding complexity but performance approaching close to shannon capacity with iterative probabilistic decoding algorithm. In this dissertation, the performance of different error correcting code such as convolution, Reed Solomon(RS), hamming, block code are evaluated based on different parameters like code rate, bit error rate (BER), Eb/No, complexity, coding gain and compare with LDPC code. In general, message passing algorithm and the sum-product algorithm are used to decode the message. We showed that logarithmic sum-product algorithm with long block length code reduces multiplication to addition by introducing logarithmic likelihood ratio so that it achieves the highest BER performance among all the decoding algorithms. The astonishing performance combined with proposed modified MS decoding algorithm make these codes very attractive for the next generations digital broadcasting system (ABS - S).

Biographie de l'auteur

Mr. Mayank A. Ardeshana has obtained his master degree in communication from Nirma university, ahmedabad in 2010. He has a one year industrial experience in Nokia Siemens Networks, pvt. ltd, ahmedabad. Presently, he has working as a Assistant Professor in G.H.Patel College of Engineering & Technology, v.v.nagar, Gujarat, India.

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
2011
Langue
anglais
ISBN 10 
3845420413
ISBN 13 
9783845420417
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
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