Asymptotically Efficient Estimation of Sea Clutter Intensity Model Parameters Using Log-based Moments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new numerical method for an efficient unbiased estimator for the K-plus-noise distribution model parameters for sea clutter intensity in thermal noise. The method estimates the shape parameter and the clutterto-noise ratio (CNR) using log-based intensity moments and two-dimensional (2-D) constrained nonlinear moment matching. Using simulated stationary sea clutter intensity data, we demonstrate that the proposed estimator is asymptotically efficient as its performance approaches the Cramér-Rao lower bound (CRLB). We also compare its performance with other moment and curve fitting estimation methods, using real sea clutter observations.

Original languageEnglish (US)
Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1318-1322
Number of pages5
ISBN (Electronic)9781728143002
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
Duration: Nov 3 2019Nov 6 2019

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2019-November
ISSN (Print)1058-6393

Conference

Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
CountryUnited States
CityPacific Grove
Period11/3/1911/6/19

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Northrop, J., & Papandreou-Suppappola, A. (2019). Asymptotically Efficient Estimation of Sea Clutter Intensity Model Parameters Using Log-based Moments. In M. B. Matthews (Ed.), Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 (pp. 1318-1322). [9048684] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2019-November). IEEE Computer Society. https://doi.org/10.1109/IEEECONF44664.2019.9048684