基于Walsh-Hadamard变换的卷积码盲识别
doi: 10.3724/SP.J.1146.2009.00359
Blind Recognition of Convolutional Coding Based on Walsh-Hadamard Transform
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摘要: 该文针对信道编码的盲识别问题，提出了高误码率下(n, 1, m)卷积码的盲识别方法。首先给出了盲识别的数学模型，进而扩展了Walsh-Hadamard变换的应用范围。证明了通过对截获码序列做Walsh-Hadamard变换可以解决卷积码的盲识别问题，该方法在智能通信、信息截获、密码分析等领域有重要的应用。仿真实验表明该算法可以对高误码率的卷积码进行有效的识别。Abstract: In order to solve the problem of the blind recognition of channel coding, a method of blind recognition of (n, 1, m) convolutional coding in the high bit error rate condition is proposed. Firstly, the mathematical model of the blind recognition is given, and then the application field of walsh-hadamard transform is enlarged. The authors show that putting the intercepted codes walsh-hadamard transform can be used to solve the problem of blind recognition of convolutional codes, which is usually applied to adaptive communication, information interception and cryptanalysis. The simulation experiments show the proposed methods can recognize the convolutional coding parameters effectively.
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