Low Density Parity Check Code for Next Generation Communication System: Advanced Broadcasting System for Satellite (ABS-S) - Softcover
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).
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About the Author
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.
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Low Density Parity Check Code for Next Generation Communication System
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LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3845420413
ISBN 13: 9783845420417
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 72 pp. Englisch. Seller Inventory # 9783845420417
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Low Density Parity Check Code for Next Generation Communication System
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ardeshana MayankMr. 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 h. Seller Inventory # 5481654
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Low Density Parity Check Code for Next Generation Communication System
Published by
LAP LAMBERT Academic Publishing Aug 2011, 2011
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ISBN 13: 9783845420417
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Seller Inventory # 9783845420417
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Low Density Parity Check Code for Next Generation Communication System : Advanced Broadcasting System for Satellite (ABS-S)
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ISBN 13: 9783845420417
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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). Seller Inventory # 9783845420417
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Low Density Parity Check Code for Next Generation Communication System | Advanced Broadcasting System for Satellite (ABS-S)
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ISBN 13: 9783845420417
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Taschenbuch. Condition: Neu. Low Density Parity Check Code for Next Generation Communication System | Advanced Broadcasting System for Satellite (ABS-S) | Mayank Ardeshana (u. a.) | Taschenbuch | 72 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845420417 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106676319
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Low Density Parity Check Code for Next Generation Communication System: Advanced Broadcasting System for Satellite (ABS-S)
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ISBN 13: 9783845420417
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