TY - GEN
T1 - Estimation of rapidly varying sea clutter using nearest Kronecker product approximation
AU - Ebenezer, Samuel P.
AU - Papandreou-Suppappola, Antonia
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/4
Y1 - 2015/8/4
N2 - In this paper, we propose a method to estimate the space-time covariance matrix of rapidly varying sea clutter. The method first develops a dynamic state space representation for the covariance matrix and then approximates the covariance using the nearest Kronecker product to reduce computational complexity. Particle filtering is then applied to estimate the dynamic elements of the covariance matrix. We validate the nearest Kronecker product approximation using real sea clutter radar measurements. We further demonstrate the use of the estimated space-time covariance matrix in the track-before-detect filter to track a low observable target in sea clutter.
AB - In this paper, we propose a method to estimate the space-time covariance matrix of rapidly varying sea clutter. The method first develops a dynamic state space representation for the covariance matrix and then approximates the covariance using the nearest Kronecker product to reduce computational complexity. Particle filtering is then applied to estimate the dynamic elements of the covariance matrix. We validate the nearest Kronecker product approximation using real sea clutter radar measurements. We further demonstrate the use of the estimated space-time covariance matrix in the track-before-detect filter to track a low observable target in sea clutter.
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U2 - 10.1109/ICASSP.2015.7178659
DO - 10.1109/ICASSP.2015.7178659
M3 - Conference contribution
AN - SCOPUS:84946068700
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3686
EP - 3690
BT - 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Y2 - 19 April 2014 through 24 April 2014
ER -