An improved Chase–Pyndiah algorithm in the iterative decoding of turbo product codes

Abstract

This paper considers the design of turbo product codes (TPCs) for short and bursty packages, which is suitable for low latency machine-to-machine type communication. A new soft syndrome-based approach is proposed to compute the weighting factors in the iterative Chase–Pyndiah decoding of TPCs. A new soft syndrome estimation method is developed which has a manageable computational complexity. Numerical results show that the bit error rate performance is improved by using this simple approach for short package sizes for TPCs with high coding rates.