Open Access
On Estimating the Phase of Periodic Waveform in Additive Gaussian Noise, Part 2
L. L. Rauch
- Vol. 104, pp 157-160
TLDR
In this paper, a new look is taken at the problem of estimating the phase and other parameters of a periodic waveform in additive Gaussian noise, and the maximum a posteriori probability criterion with signal space interpretation is used to obtain the structures of optimum and some suboptimum phase estimators for known constant frequency and unknown constant phase with an a priori distribution.Abstract:
Motivated by advances in signal processing technology that support more complex algorithms, a new look is taken at the problem of estimating the phase and other parameters of a periodic waveform in additive Gaussian noise. The general problem was introduced and the maximum a posteriori probability criterion with signal space interpretation was used to obtain the structures of optimum and some suboptimum phase estimators for known constant frequency and unknown constant phase with an a priori distribution. Optimal algorithms are obtained for some cases where the frequency is a parameterized function of time with the unknown parameters and phase having a joint a priori distribution. In the last section, the intrinsic and extrinsic geometry of hypersurfaces is introduced to provide insight to the estimation problem for the small noise and large noise cases.read more
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Proceedings Article
On estimating the phase of a periodic waveform in additive Gaussian noise, part 1
TL;DR: The intrinsic and extrinsic geometry of hypersurfaces is introduced to provide insight to the estimation problem for the small noise and large noise cases.