Improved signal-to-noise ratio estimation algorithm for asymmetric pulse-shaped signals

The split-symbol moment estimation (SSME) algorithm is a conventional method to estimate the signal-to-noise ratio (SNR) in communication systems for M-ary phase shift keying signals. However, the conventional SSME is based on the assumption of symmetric pulse-shaping waveforms, and becomes no longer proper when the shaping pulse is asymmetric. In this study, the authors propose a modified SSME algorithm for asymmetric pulse-shaped signals, based on an odd-even symbol splitting approach. Simulation results show that the modified SSME outperforms the conventional SSME for both symmetric and asymmetric pulse-shaped signals in terms of SNR estimation accuracy.