卷积码盲识别算法研究
发布时间：2019-03-20 08:13
【摘要】：在通信领域中,为了保证信息传输的质量,克服噪声的干扰,引入了信道编码技术,既保证了信息传输的有效性,又保证了信息传输的可靠性。使用编码技术的后,编码识别技术也就随之引入进来。编码识别技术是指在未知先验知识或已知一部分先验知识的情况下,对接收的编码序列进行参数识别,该技术应用前景十分广泛。本文对卷积码的盲识别技术进行研究。首先,介绍线性分组码与卷积码的编码及性质；然后,介绍了目前几种现有的卷积码盲识别算法,同时分析了他们的不足之处；最后,针对传统Walsh-Hadamard分析法需要先验知识不能做到全盲识别及计算量大不能达到实时识别的不足提出改进算法,在Walsh-Hadamard分析法前加入对码长、信息位长度、寄存器长度三个参数的识别,达到全盲识别的效果,同时用快速Walsh-Hadamard变换算法替代传统变换算法,减少计算量满足实时性。通过仿真分析,改进算法不仅做到了全盲识别同时计算量大大降低,达到了实时性的效果。
[Abstract]:In the field of communication, in order to ensure the quality of information transmission and overcome the interference of noise, the channel coding technology is introduced, which not only guarantees the validity of information transmission, but also guarantees the reliability of information transmission. After the use of coding technology, coding and recognition technology will also be introduced. The coding recognition technology refers to the parameter recognition of the received coding sequence under the condition of unknown prior knowledge or known part of the prior knowledge. The application prospect of this technique is very wide. In this paper, the blind recognition technology of convolutional codes is studied. Firstly, the coding and properties of linear block codes and convolutional codes are introduced, and then several existing algorithms for blind recognition of convolutional codes are introduced, and their shortcomings are analyzed at the same time. Finally, aiming at the deficiency of traditional Walsh-Hadamard analysis which requires prior knowledge can not achieve full-blind recognition and can not achieve real-time recognition with a large amount of computation, an improved algorithm is proposed. Before the Walsh-Hadamard analysis method, the code length and information bit length are added. The recognition of the three parameters of register length can achieve the effect of full blind recognition. At the same time, the fast Walsh-Hadamard transform algorithm is used instead of the traditional transform algorithm to reduce the computational complexity to meet the real-time requirements. Through simulation analysis, the improved algorithm not only achieves the full-blind recognition, but also greatly reduces the computational complexity, and achieves the real-time effect.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.22
本文编号：2444022
[Abstract]:In the field of communication, in order to ensure the quality of information transmission and overcome the interference of noise, the channel coding technology is introduced, which not only guarantees the validity of information transmission, but also guarantees the reliability of information transmission. After the use of coding technology, coding and recognition technology will also be introduced. The coding recognition technology refers to the parameter recognition of the received coding sequence under the condition of unknown prior knowledge or known part of the prior knowledge. The application prospect of this technique is very wide. In this paper, the blind recognition technology of convolutional codes is studied. Firstly, the coding and properties of linear block codes and convolutional codes are introduced, and then several existing algorithms for blind recognition of convolutional codes are introduced, and their shortcomings are analyzed at the same time. Finally, aiming at the deficiency of traditional Walsh-Hadamard analysis which requires prior knowledge can not achieve full-blind recognition and can not achieve real-time recognition with a large amount of computation, an improved algorithm is proposed. Before the Walsh-Hadamard analysis method, the code length and information bit length are added. The recognition of the three parameters of register length can achieve the effect of full blind recognition. At the same time, the fast Walsh-Hadamard transform algorithm is used instead of the traditional transform algorithm to reduce the computational complexity to meet the real-time requirements. Through simulation analysis, the improved algorithm not only achieves the full-blind recognition, but also greatly reduces the computational complexity, and achieves the real-time effect.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.22
【参考文献】
相关硕士学位论文 前1条
1 沈利;删除卷积码的性质及其盲识别[D];解放军信息工程大学;2004年
，本文编号：2444022
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