最大公约式阶数分布的BCH码参数识别

针对BCH码的编码盲识别,在码字同步点已知的条件下,根据实际序列与随机序列最大公约式阶数分布(简记为GOD)之间的差异性特征,提出了一种运用两种量化指标(方差差值、平均欧氏距离)分别对码长进行识别的方法,通过比较这两种量化指标识别码长的容错性,进而提出一种新的融合指标的GOD识别码长方法。在此基础上,通过BCH码的特性,计算阶数分布差值,识别生成多项式,实现了BCH码的盲识别。GOD识别方法简单易行,理论分析及仿真实验表明该方法的容错性较强,融合指标的GOD识别码长方法在误码率为0.02条件下,对中短码识别效果达90%以上;误码率为0.005条件下,对中偏长码识别效果达90%以上。

The method for Recognition BCH code parameter based on the biggest convention-type distribution of order

In view of the problem of the blind recognition of BCH code parameters, the code length are identified by the recognition method based on the two quantitative indicators(Variances difference and Average Euclidean distance) that is proposed by the most notable differences whose order of the largest convention type distribution between the actual sequence and random sequence ,by comparing the two kinds of identification number of fault tolerance , then a new method of integration index GOD is put forward that code length can be identified.And through the characteristics of BCH codes, the difference between the order of distribution is calculated, and identify the generator polynomial to achieve a blind identification BCH codes.The recognition method is simple,theoretical analysis and simulation experience show that the method has better error-tolerance and the GOD of recognition method more than 90% with middle and short code length can be recognized when BER is 0.02 and has better performance more than 90%.about Slightly long code in 0.005 BER.