Construction of Structured LDPC Convolutional Codes
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United States of America Patent
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Issued Date -
Jun 16, 2016
app pub date -
Dec 10, 2014
filing date -
Dec 10, 2014
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Abstract
Protograph construction methods for generating convolutional LDPC code matrices are disclosed in which multi-equation problems of girth maximization are reduced or replaced using other techniques including (with limitation): finding base matrices with a unique set of non-repeating distance parameters, finding the minimum largest such distance parameter among solution-set matrices, and quasi-cyclic lifting of the generated convolutional LDPC code matrix. 4-cycles and select (avoidable) 6-cycles are thereby removed from the resulting convolutional LDPC code matrix, thereby resulting in significant performance gains.
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