The Analysis of the Quasi-likelihood Algorithm of the Estimated Parameter of the Signal with Unknown Localization within the Observation Interval

DOI

10.2991/icemie-16.2016.10How to use a DOI?

Keywords

moments of appearance and disappearance; unknown parameter; quasi-likelihood estimate; bias; dispersion; signal-to-noise ratio; amplitude; initial phase

Abstract

We carried out the synthesis and analysis of the quasi-likelihood estimation algorithm of regular parameter of an untailored pulse with the unknown moments of appearance and disappearance observed against additive Gaussian white noise. We studied the influence of prior ignorance of the moments of appearance and disappearance on accuracy of the introduced estimate. As an example we considered the quasi-likelihood estimates of the amplitude and initial phase of a rectangular radio signal. And we found the loss in estimation accuracy due to ignorance of the moments of appearance and disappearance.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Oleg V. Chernoyarov
AU  - Andrey P. Trifonov
AU  - Konstantin S. Kalashnikov
AU  - Boris I. Shakhtarin
PY  - 2016/04
DA  - 2016/04
TI  - The Analysis of the Quasi-likelihood Algorithm of the Estimated Parameter of the Signal with Unknown Localization within the Observation Interval
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 39
EP  - 43
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.10
DO  - 10.2991/icemie-16.2016.10
ID  - Chernoyarov2016/04
ER  -