Performance Analysis of MIA Algorithm for LDPC Codes in near Space Rain Attenuation Channel

According to the influence of grand reflector to the channel, near space Ka-band rain attenuation channel model of area coverage is improved. According to RRWBF algorithm and UMP BP-Based algorithm of LDPC codes, a mixed iterative decoding algorithm is proposed. The algorithm takes advantage of low...

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Published inApplied Mechanics and Materials Vol. 148-149; pp. 1576 - 1582
Main Authors Su, Yi Dong, Wu, Hao, Chen, Shu Xin
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.12.2011
Subjects
LDPC Codes
RRWBF Algorithm
UMP BP-Based Algorithm
Rain Attenuation Channel
Near Space
Online AccessGet full text
ISBN3037853409
9783037853405
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.148-149.1576

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Abstract According to the influence of grand reflector to the channel, near space Ka-band rain attenuation channel model of area coverage is improved. According to RRWBF algorithm and UMP BP-Based algorithm of LDPC codes, a mixed iterative decoding algorithm is proposed. The algorithm takes advantage of low complexity of hard-decision algorithm and high performance of soft-decision algorithm, so in near space rain attenuation channel, the decoding complexity significantly reduced when bit error rate performance does not decline. Simulation results show that in near space rain attenuation channel, MIA algorithm can reduce decoding complexity by about 30%, compare with the UMP BP-Based algorithm.
AbstractList According to the influence of grand reflector to the channel, near space Ka-band rain attenuation channel model of area coverage is improved. According to RRWBF algorithm and UMP BP-Based algorithm of LDPC codes, a mixed iterative decoding algorithm is proposed. The algorithm takes advantage of low complexity of hard-decision algorithm and high performance of soft-decision algorithm, so in near space rain attenuation channel, the decoding complexity significantly reduced when bit error rate performance does not decline. Simulation results show that in near space rain attenuation channel, MIA algorithm can reduce decoding complexity by about 30%, compare with the UMP BP-Based algorithm.
Author Su, Yi Dong
Wu, Hao
Chen, Shu Xin
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Keywords LDPC Codes
RRWBF Algorithm
UMP BP-Based Algorithm
Rain Attenuation Channel
Near Space
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