Improved Chase-Pyndiah Decoding for Product Codes with Scaled Messages
Sisi Miao, Mert Birincioglu, Laurent Schmalen
TL;DR
This paper introduces an improved Chase-Pyndiah decoding algorithm for product codes that scales extrinsic messages according to decoder confidence, resulting in a 0.1 dB performance gain with minimal added complexity.
Contribution
The novel decoder enhancement dynamically scales messages based on confidence, improving decoding performance over the original method.
Findings
Achieves 0.1 dB gain over original Chase-Pyndiah decoding.
Maintains negligible increase in decoding complexity.
Demonstrates improved decoding reliability for product codes.
Abstract
We propose an enhanced Chase-Pyndiah decoder that scales extrinsic messages based on decoder confidence of the component decoder, achieving a 0.1 dB gain over the original with negligible complexity increase.
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