Research on Block-Based Blind Identification of High-rate Punctured Convolutional Codes

Abstract

Aiming at the large amount of memory in high bit rate punctured convolutional codes, a soft recognition algorithm based on block Hadamard matrix (B-SWHT) is proposed. By using the idea of block Hadamard matrix operation, the soft WHT algorithm with excellent fault-tolerance performance is applied to the recognition of high-rate punctured convolutional codes. The simulation experiments show that the algorithm can effectively reduce the memory required for the recognition of high-rate punctured convolutional codes while maintaining high fault-tolerance performance. This paper provides a feasible solution for the identification of high bit rate punctured convolutional codes.