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

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3 Author(s)
Yeong-Tzay Su ; Dept. of Math., Nat. Kaohsiung Normal Univ., Kaohsiung, Taiwan ; Wong, K.T. ; Keang-Po Ho

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.

Published in:
Communications, IEEE Transactions on  (Volume:58 ,  Issue: 12 )

Date of Publication: December 2010

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