Linear MMSE Estimation of Large-Magnitude Symmetric Levy-Process Phase-Noise

The linear minimum-mean-square error (LMMSE) estimator is herein derived to estimate phase-noise of Levy statistics (including Wiener phase-noise) and of arbitrarily large magnitude. This estimator may be pre-set to any latency and any number of tabs. This estimator depends only on the signal-to(additive)-noise ratio and the phase-noise variance, but requires no matrix-inversion.

• Type: Journal
• Year: 2010
• Where: TCOM
• Authors: Yeong-Tzay Su, Kainam Thomas Wong, Keang-Po Ho
• Keywords: Arbitrarily Large, Estimator, Linear Minimum-mean-square Error, Software Engineering, TCOM 2010