Paper Info
Title
Asymptotically Efficient Estimation Of Sea Clutter Intensity Model Parameters Using Log-Based Moments
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 clutter-to-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 Cramer-Rao lower bound (CRLB). We also compare its performance with other moment and curve fitting estimation methods, using real sea clutter observations.
Year
DOI
Venue
2019
10.1109/IEEECONF44664.2019.9048684
CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS
DocType
ISSN
Citations 
Conference
1058-6393
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Judith Northrop100.34
Antonia Papandreou-Suppappola223429.88