Blind Recognition of Convolutional Coding Based on Walsh-Hadamard Transform
基于Walsh-Hadamard变换的卷积码盲识别

In order to solve the problem of the blind recognition of channel coding, a method of blind recognition of (n, 1, m) convolutional coding in the high bit error rate condition is proposed. Firstly, the mathematical model of the blind recognition is given, and then the application field of walsh-hadamard transform is enlarged. The authors show that putting the intercepted codes walsh-hadamard transform can be used to solve the problem of blind recognition of convolutional codes, which is usually applied to adaptive communication, information interception and cryptanalysis. The simulation experiments show the proposed methods can recognize the convolutional coding parameters effectively.