TS-WHT: A Two-Step Walsh-Hadamard Transform Approach for Blind Error Correcting Code Classification

• Published in: IEEE communications letters Vol. 27; no. 7; p. 1
• Main Authors: Li, Sida, Zhou, Jing, Huang, Zhiping
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive modulation and coding; Blind/semi-blind estimation; Block codes; Classification; Codes; Cognitive radio; Convolutional codes; Error correcting codes; Error correction; Error correction codes; error-correcting code; Estimation; Fault tolerance; Signal to noise ratio; Transforms; Turbo codes; Walsh Hadamard transform; Wireless communications
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2023.3242983

Blind classification of error-correcting codes is essential for intelligent wireless communication, cognitive radio, and non-cooperative communication. The object of this paper is to investigate the differences in the Walsh spectrum between linear block code, convolutional code, and Turbo code. Based on these differences, a two-step Walsh Hadamard transform (TS-WHT) strategy is proposed for error-correcting code blind classification. Further, according to the detection theory, the peak detection threshold is detailed and optimized with the cyclic feature of CRC codes. The results indicate that when employing the optimized threshold, probabilities of correct classification are superior for linear block codes and convolutional codes. Moreover, with the help of the fault-tolerant feature of the WHT technique, the classification accuracy of the proposed method is substantially better than existing approaches under low signal-to-noise ratio(SNR) conditions.