DVB-S2 ACM技术中的信噪比估计

SNR Estimation for Adaptive Coding and Modulation Technique in DVB-S2

为了在DVB-S2系统自适应编码调制(ACM)技术中实现对信道信噪比的精确、高效估计,提出了一种基于子空间分解的数据辅助类信噪比估计算法。计算机仿真结果表明,在较宽的信噪比范围内,该算法的性能优于数据辅助类的最大似然估计算法和经典的基于子空间分解的ED算法,估计精度高,计算复杂度低,非常适合在DVB-S2系统ACM技术中应用。

A data aided SNR estimation algorithm based on subspace decomposition is proposed in this paper to realize the accurate and efficient estimation of the channel SNR in the ACM（ Adaptive Coding and Modulation） technique of DVB-S2 systems. Computer simulation results show that this estimator yields better performance than the data aided maximum likelihood estimator and the classical ED estimator based on subspace decomposition in a large domain. The high accuracy and low complexity make this estimator very suitable for the ACM technique in DVB-S2 systems.