Abstract:

This paper addresses the problem of Signal-to-Noise(SNR) estimation in wireless Single Input Multiple Output(SIMO) channels. It implements four algorithms of SNR estimation, expectation-maximization estimator, second-and fourth-order moments estimator, fourth-order moment estimator and sixth-order estimator, in common simulated channels and analyzes the reasons that may affect performances of the algorithms, such as the number of the antennae, modulation mode, noise power and so on. Simulated performances are compared with a published Cramer-Rao Lower Bound(CRLB). It also analyzes the complexity of the algorithms.

Key words: Signal-to-Noise(SNR) estimation, signal model, Single Input Multiple Output(SIMO), linear modulation, Cramer-Rao Lower Bound(CRLB)

摘要：

针对单输入多输出(SIMO)信道信噪比估计问题，在建立同一信号模型的基础上，研究期望最大化估计、二阶矩四阶矩估计、四阶联合估计和六阶矩估计等4种算法。从天线数、调制方式及噪声功率等方面进行仿真，将结果与Cramer-Rao下界进行对比。结合仿真结果分析各种算法的实现复杂度。

关键词: 信噪比估计, 信号模型, 单输入多输出, 线性调制, Cramer-Rao下界

CLC Number: 

• TP391