Performance Analysis of Algebraic Soft-Decision Decoding of Reed-Solomon Codes

Title of dissertation: PERFORMANCE ANALYSIS OF ALGEBRAIC SOFT-DECISION DECODING OF REED-SOLOMON CODES Andrew Duggan, Masters of Science, 2006 Thesis directed by: Professor Alexander Barg Department of Electrical and Computer Engineering We investigate the decoding region for Algebraic Soft-Decision Decoding (ASD) of Reed-Solomon codes in a discrete, memoryless, additive-noise channel. An expression is derived for the error radius within which the soft-decision decoder produces a list that contains the transmitted codeword. The error radius for ASD is shown to be larger than that of Guruswami-Sudan hard-decision decoding for a subset of low-rate codes. We then present an upper bound for ASD’s probability of error, where an error is defined as the event that the decoder selects an erroneous codeword from its list. This new definition gives a more accurate bound on the probability of error of ASD. We also derive an estimate of the error-correction radius under multivariate interpolat...

• Type: Journal
• Year: 2007
• Where: CORR
• Authors: Andrew Duggan, Alexander Barg
• Keywords: Algebraic Soft-decision, CODES Andrew Duggan, CORR 2007, Education, Reed-Solomon Codes