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A Decoding Algorithm for Turbo Product Codes Using Optimality Test and Amplitude Clipping
Authors:Qing Zhang  Tho Le-Ngoc
Affiliation:(1) Department of Electrical and Computer Engineering, McGill University, Montreal, Quebec, Canada
Abstract:This paper presents an iterative soft-input/soft-output (SISO) decoderfor product code using optimality test and amplitude clipping. A modifiedexpression for computing the soft-output of SISO decoder is proposed.The correlation discrepancy is employed to provide an optimality teston the decision codeword. The optimality test is performed in rowand column decoding to evaluate the reliability of row and columndecision codewords. Based on the optimality test, the variable reliabilityfactor is introduced for optimization of turbo decoding. A stoppingcriterion with very little performance degradation is also designedfor turbo decoding of product codes by using the optimality test.Besides, the amplitude clipping is employed to improve the performanceof turbo product code. Simulation results on the performance of theintroduced SISO decoder are presented.
Keywords:turbo codes  turbo product codes  BCH codes
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