中文摘要：

通信信号的信噪比值是反映其质量信息的一个重要指标，很多先进的通信信号处理方法都需要信噪比信息支持。本文由估计信号模型的差异，对常规数字通信信号（主要是MPSK和MQAM信号）的信噪比估计问题进行了综合描述与分类，并对所描述的两类信噪比估计问题的一致性进行了分析。本文还针对各类算法分别分析了当前的研究进展以及存在的主要研究障碍。最后根据前面综合分析的结果，总结了未来信噪比估计的重点研究方向和并给出了较为详细的解决思路。

英文摘要：

The SNR of a communication signal is an important indicator of the signal ＇ s quality. Lots of new emerging communication signal processing algorithms need the support of the SNR imformation, therefore, the SNR estimation is an important research field. The SNR estimation algorithms for conventional digital communication signals（ such as MPSK and MQAM ） are sorted according to the differences of signal models and the consistency of the described two sorts of algorithm is analyzed. Subsequently, the research advancements and existing problems for various sorts of algorithms have been analyzed. In the end, the important reseaeh directions have been proposed to resolve the existing problems.