TY - GEN
T1 - Asymptotically Efficient Estimation of Sea Clutter Intensity Model Parameters Using Log-based Moments
AU - Northrop, Judith
AU - Papandreou-Suppappola, Antonia
N1 - Funding Information:
We validated the LIM2 performance using sea clutter observations from a database provided by the Council for Scientific and Industrial Research (CSIR). The data was collected using
Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
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U2 - 10.1109/IEEECONF44664.2019.9048684
DO - 10.1109/IEEECONF44664.2019.9048684
M3 - Conference contribution
AN - SCOPUS:85083343790
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1318
EP - 1322
BT - Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Y2 - 3 November 2019 through 6 November 2019
ER -