Abstract:This paper researches an algorithm about the blind recognition of systematic convolutional code. By building data matrix and analyzing the rank property of the matrix, the algorithm can realize the blind recognition of channel parameters, which include the code length, code beginning, code rate, check polynomial as well as the generating polynomial. This paper also proposes the idea to transfer the algorithm to DSP. After transferring the software codes onto the hardware platform, we optimize the algorithm in the software CCS and then finish the simulation of the blind recognition of systematic convolutional code with code rate equals 1/2. It offers support to the fast implementation of the algorithm in actual projects.