CAJ | 학술논문

研究了一种系统卷积码的盲识别算法，该算法通过建立数据矩阵，遍历所有可能的矩阵形式，分析矩阵秩特性的方法实现对信道盲参数识别，参数包括码长、码字起点、码率、校验多项式和生成多项式。并提出了将该算法移植到DSP芯片中，将软件仿真移植到硬件平台，在CCS软件中优化算法，完成对1/2码率的系统卷积码盲识别仿真。为实现快速算法，运用在实际工程提供支持。
연구료일충계통권적마적맹식별산법，해산법통과건립수거구진，편력소유가능적구진형식，분석구진질특성적방법실현대신도맹삼수식별，삼수포괄마장、마자기점、마솔、교험다항식화생성다항식。병제출료장해산법이식도DSP심편중，장연건방진이식도경건평태，재CCS연건중우화산법，완성대1/2마솔적계통권적마맹식별방진。위실현쾌속산법，운용재실제공정제공지지。
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.