Computationally efficient estimation of compound K-distribution sea clutter in thermal noise and its application to sea echo reflectivity observations

Judith A. Northrop, Antonia Papandreou-Suppappola

Research output: Contribution to journalArticle

Abstract

We consider the parameter estimation of the K-plus-noise distribution model of sea clutter intensity single-pulse observations with unknown thermal noise power. We propose two methods that yield comparable estimation accuracy to existing methods while improving computational cost for real-time processing. These methods iteratively integrate one-dimensional nonlinear curve fitting with integer and fractional intensity moment computations. We provide numerically computed Cramér-Rao lower bounds for the shape estimate as a bench mark for asymptotically unbiased estimators. Performance is demonstrated using simulations and two high-resolution sea echo reflectivity datasets.

Original languageEnglish (US)
Article number8882498
Pages (from-to)2340-2350
Number of pages11
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume56
Issue number3
DOIs
StatePublished - Jun 2020
Externally publishedYes

Keywords

  • Curve fitting K-distribution plus noise
  • parameter estimation
  • sea clutter
  • thermal noise power

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Computationally efficient estimation of compound K-distribution sea clutter in thermal noise and its application to sea echo reflectivity observations'. Together they form a unique fingerprint.

Cite this