一种多维Turbo码盲识别方法

Blind Recognition Method for Multidimensional Turbo Coding Parameter

多维Turbo码由于具有较高的编码增益和可靠的信息传输性能,在信号衰减较为严重的通信场景下得到了广泛应用,如深空通信中。通过分析多维Turbo码编码器结构,提出了一种基于编码器结构分解的盲识别算法,并对待识别数据通过分流建立识别模型进行降维处理,将其转化为经典Turbo码盲识别问题。最后,在此基础上完成多维Turbo码子编码器参数、交织参数等盲识别分析。结果表明,相关研究成果在智能通信领域和电子对抗领域具有较大的应用价值。

Due to its fairly high coding gain and reliable information transmission performance, multidimensional Turbo codes are widely used in communication scenarios with severe signal attenuationsuch as in deep space communication. By analyzing the multi-dimensional Turbo-code encoder structure, a blind recognition algorithm based on encoder structure decomposition is proposed, and the trcognition model is established by shunting, thus to realize dimensionality reduction and transformation into classic Turbocode blind identification problem of the identification data. On this basis, the blind identification analysis of multi-dimensional Turbo-code sub-encoder parameters and interleaving parameters is done.The experiment results indicate that the relevant research results have great application value in the fields of intelligent communication and electronic countermeasure.