NDLI: Modified quasi-maximum likelihood estimator for polynomial phase signal

Content Provider	IET Digital Library
Author	Dallil, Ahmed Ouldali, Abdelaziz
Abstract	In this study, the authors focus on the selection of instantaneous frequency estimates in the quasi-maximum likelihood estimator for polynomial phase signal. More specifically, they are interested in the case of short signal observations at low signal-to-noise ratios. In the first part of this work, the benefit of instantaneous frequency estimates selection for the above estimator performances is highlighted. Then the authors propose a modified quasi-maximum likelihood estimator based on a determinist instantaneous frequency estimates selection. Numerical studies provided at the end of this study showed clearly that the performances of the proposal in terms of root mean square error and signal to noise ratio threshold compared to the classical approach was better, in the considered case of short signal observation in a noisy environment.
Starting Page	182
Ending Page	187
Page Count	6
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 3, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0079
Journal	IET Signal Processing
Publisher Date	2020-01-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Determinist Instantaneous Frequency Estimate Selection Estimator Performances Frequency Estimation Interpolation And Function Approximation Maximum Likelihood Estimation Mean Square Error Method Modified Quasimaximum Likelihood Estimator Noisy Environment Numerical Analysis Polynomial Polynomial Phase Signal Root Mean Square Error Short Signal Observation Signal Processing And Detection Signal Processing Theory Signal to Noise Ratio Statistics Stochastic Linearised SCUC
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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