循环码参数的全盲识别算法

Blind identification algorithm of cyclic code parameters

为有效解决高误码率下高码率循环码的全盲识别,根据实际序列与随机序列最高公因式阶数分布之间的差异性特征,提出基于标准差率差值的最高公因式阶数的循环码全盲识别算法,该算法可以同时识别码长和码字同步点.在此基础上,通过循环码的循环特性,识别生成多项式,实现了循环码的全盲识别.理论分析及仿真实验表明基于标准差率差值的最高公因式阶数的循环码识别方法简单易行,计算量较少,容错性强,且在误码率为0.023条件下,对中短码识别效果明显.

In order tively,according to the to solve the blind identification for cyclic code with high BER or high code rate effec most notable differences between the highest common factor order distribution of the actual sequence and the random sequence, proposed the blind identification algorithm of cyclic code based on standard error rate difference of the highest common factor order was proposed. The algorithm could identify code length and codeword synchronization point. And through the characteristics of cyclic codes, identified the generator polynomial was identified, a blind identification of cyclic codes was a- chieved. The theoretical analysis and simulation experience showed that the method was simple and had less computation as well better error-tolerance . And the effect was obvious in the short-code recognition, in the BER of 0. 023 conditions.