Novel Methods for Approximate Maximum Likelihood Estimation of Multiple Superimposed Undamped Tones and Their Application to Radar Systems

Di Viesti, Pasquale; DAVOLI, ALESSANDRO; Guerzoni, Giorgio; Vitetta, Giorgio Matteo

doi:10.36227/techrxiv.15054321.v2

Frequency_ESTIMATION_techrXiv.pdf (1.88 MB)

Novel Methods for Approximate Maximum Likelihood Estimation of Multiple Superimposed Undamped Tones and Their Application to Radar Systems

preprint

posted on 2021-08-03, 14:52 authored by Pasquale Di ViestiPasquale Di Viesti, ALESSANDRO DAVOLIALESSANDRO DAVOLI, Giorgio Guerzoni, Giorgio Matteo Vitetta

In this manuscript, novel methods for the detection of multiple superimposed tones in noise and the estimation of their parameters are derived, and their application to colocated multiple-input multiple-output radar systems is investigated.

Funding

This work has been funded by CNH Industrial Italia S.p.A. and CNH Industrial Belgium NV

History

Email Address of Submitting Author

pasquale.diviesti@unimore.it

ORCID of Submitting Author

0000-0002-8471-8831

Submitting Author's Institution

University of Modena and Reggio Emilia

Submitting Author's Country

Italy

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Keywords

Maximum Likelihood methods frequency estimation complex exponentials interpolation algorithm Fourier coefficients Leakage

Licence

CC BY 4.0

Novel Methods for Approximate Maximum Likelihood Estimation of Multiple Superimposed Undamped Tones and Their Application to Radar Systems

Funding

This work has been funded by CNH Industrial Italia S.p.A. and CNH Industrial Belgium NV

History

Email Address of Submitting Author

ORCID of Submitting Author

Submitting Author's Institution

Submitting Author's Country

Usage metrics

Categories

Keywords

Licence

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