Abstract—Blind recognition of error-correcting code is an essential problem to decode intercepted data. In this paper, a method dedicated to the blind recognition of punctured convolutional encoders is presented. The blind recognition of such encoders is of great significance, because convolutional encoders are embedded in most digital transmission systems where the puncturing principle is used to increase the code rate. After a brief review of the principle of puncturing codes, a method mainly based on the Walsh-Hadamard transform is presented for blind recognition of both the mother code and the puncturing pattern when the received bits are erroneous. Compared to existing techniques, our algorithm has advantages of robustness and efficiency. Experiments are conducted to illustrate the performances of this new blind recognition method.
Index Terms—Blind Recognition, convolutional code, punctured pattern, walsh-hadamard transform.
Cite: Wengu Chen and Guoqing Wu, "Blind Recognition of (n−1)/n Rate Punctured Convolutional Encoders in a Noisy Environment," Journal of Communications, vol. 10, no. 4, pp. 260-267, 2015. Doi: 10.12720/jcm.10.4.260-267
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