信噪比盲估计算法性能比较

A Performance Comparison of Blind Signal to Noise Ratio Estimation Algorithms

为了实现非协作环境下的通信信号信噪比估计,本文在功率谱分析的基础上,提出了一种基于功率谱差分的信噪比盲估计算法,并将其与传统的基于奇异值分解的信噪比盲估计算法进行了比较。理论与仿真结果表明,与传统方法相比,本文提出的算法不但复杂度低,而且在低信噪比情形下仍具有较高的估计精确度和稳健性。

A blind estimation method for signal to noise ratio based on power spectral density difference is proposed in the paper in non-cooperative environment. Then it is compared with the classical method based on singular value decomposition. Both the theoretic analysis and simulation result show that the presented method in the paper has the characteristics of little calculation, high accuracy and strong robustness, compared to the classical method even when the signal to noise ratio is low.