【作者】 公培祝；

【导师】 李道本；

【作者基本信息】 北京邮电大学 ， 信号与信息处理， 2013， 硕士

【摘要】 随着移动通信系统对数据传输速率以及质量的要求越来越高,现有的通信技术基本上都无法满足未来移动通信的数据传输要求。当下的数据传输都受到奈奎斯特准则的禁锢,采用的检测译码方式都是基于符号检测的方式,同时将符号之间的重叠看成是一种破坏因素,因而导致数据传输速率无法提高,本文采用的是基于序列检测译码的方式,提高了数据传输的频谱效率与误码性能。同时由于现有的检测译码方式主要是最小欧氏距离检测译码方式,这种检测译码方式有其局限性,因为它的译码信道条件必须是AWGN信道,同时发送符号必须是等概率的,本文采用了一种新的检测译码方式——统计检测译码方式。在论文中采用LS码及LA时频码尝试性验证了统计检测译码算法的性能。后续工作则建立在满足多用户并行传输同时单用户传输速率相比于仅有一个用户传输时速率不发生降低的设计目标之上,采用OVCDM编码作为预编码,采用正交重复编码保证多用户并行传输。后面则采用Pure-OVTDM与Shift-OVTDM的串行级联结构来确保上述设计目标的实施,并发展了Pure-OVTDM与递归形式Shift-OVTDM的串行级联结构,以及Pure-OVTDM与递归形式Shift-OVTDM串行级联的Turbo结构。更多还原

【Abstract】 With the increasingly high demand for mobile communications system for the data transfer rate and quality, the existing communication technologies are basically unable to meet the data transmission requirements of future mobile communication. The current data transmission are detained by the Nyquist criteria, on which the etection and decoding methods are based on symbol detection, then the overlap between different symbols is looked as a kind of damage, whichmakes it-difficult to develop transmission rate. This article is based on sequence detection and decoding, which improves the spectral efficiency of data transmission and error performance. At the same time, the existing detection and decoding ways are all based on the minimum Euclidean distance, which also limits the develop of error performance. In this article, a new way of detection and decoding named Statistical Detection and Decoding Algorithm is used. LS code and LA time frequency code are all used as pre-code to verify the performance of the statistical detection decoding algorithm. The following work is built on the basis of meeting the parallel transmission of multi-user information, using OVCDM code as pre-code. The following work using the serial concatenation of Pure-OVTDM and Shift-OVTDM as pre-code, then the serial concatenation of Pure-OVTDM and recursive Shift-OVTDM and the Turbo structure of serial concatenation of Pure-OVTDM and recursive Shift-OVTDM.更多还原