CAJ | 학술논문

针对误码条件下的Turbo码的盲识别问题，提出了一种新的码流局域搜索的识别算法。该方法利用分量编码器中寄存器数量有限这一特点，建立了包含编码器结构的编码多项式库，从而通过快速搜索得到分量编码器的结构。仿真实验表明了该算法的正确性与有效性。
침대오마조건하적Turbo마적맹식별문제，제출료일충신적마류국역수색적식별산법。해방법이용분량편마기중기존기수량유한저일특점，건립료포함편마기결구적편마다항식고，종이통과쾌속수색득도분량편마기적결구。방진실험표명료해산법적정학성여유효성。
In order to solve the problem of the blind recognition of Turbo codes with bit errors, a local code stream search recognition algorithm is proposed. Aiming at the limited number of the registers of the RSC, a library with all coding polynomials of the RSC is built, and then the RSC structure is got through quick seek. Simulation results show the accuracy and effectiveness of the proposed algorithm.