The split symbol moments SNR estimator in narrow-band channels
The split symbol moments SNR estimator in narrow-band channels
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DOI：
10.1109/7.102709
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发表时间：
1990-09
影响因子：
4.4
通讯作者：
B. Shah;S. Hinedi
中科院分区：
文献类型：
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作者：
B. Shah;S. Hinedi
分割符号矩估计（SSME）是一种在加性高斯白噪声（AWGN）存在下估计符号信噪比的算法。研究了SSME算法在有限带宽信道中的性能，并量化了所产生的码间干扰（ISI）的影响。所有得到的结果都是封闭的形式，可以很容易地进行数值评估，以进行性能预测。通过数字仿真验证了结果的正确性。>
The split symbol moments estimator (SSME) is an algorithm that is designed to estimate symbol signal-to-noise ratio (SNR) in the presence of additive white Gaussian noise (AWGN). The performance of the SSME algorithm in bandlimited channels is examined, and the effects of the resulting intersymbol interference (ISI) are quantified. All results obtained are in closed form and can be easily evaluated numerically for performance-prediction purposes. The results are also validated through digital simulations. >