In cognitive radio context, the parameters of coding schemes are unknown at the receiver. The design of an intelligent receiver is then essential to blindly identify these parameters from the received data. The blind identification of code word length has already been extensively studied in the case of binary error-correcting codes. Here, we are interested in non-binary codes where a noisy transmission environment is considered. To deal with the blind identification problem of code word length, we propose a technique based on the Gauss-Jordan elimination in GF( q ) (Galois field), with q =2 m , where m is the number of bits per symbol. This proposed technique is based on the information provided by the arithmetic mean of the number of zeros in each column of these matrices. The robustness of our technique is studied for different code parameters and over different Galois fields. Keywords Cognitive radio Blind identification Non-binary error-correcting codes Galois field
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机译：在认知无线电环境中，编码方案的参数在接收机处是未知的。因此，智能接收机的设计对于从接收到的数据中盲目识别这些参数至关重要。在二进制纠错码的情况下，已经广泛地研究了码字长度的盲识别。在这里，我们对考虑到噪声传输环境的非二进制代码很感兴趣。为了解决码字长度的盲目识别问题，我们提出了一种基于GF（q）（Galois字段）中的高斯-乔丹消去的技术，其中q = 2 m ，其中m是每个符号的位数。这项提议的技术基于这些矩阵每一列中的零个数的算术平均值所提供的信息。我们针对不同的代码参数和不同的Galois字段研究了我们技术的鲁棒性。关键词认知无线电盲识别非二进制纠错码Galois场
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