TY - GEN
T1 - Physics-based sea clutter model for improved detection of low radar cross-section targets
AU - O'Donnell, Brian
AU - Lebaron, Richard
AU - Diaz, Rodolfo
AU - Papandreou-Suppappola, Antonia
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This paper studies the challenging problem of detecting a low radar cross-section target in heavy sea clutter by proposing a physics-based sea clutter generation model. The model includes a process that generates random dynamic sea clutter based on the governing physics of water gravity and capillary waves and a finite-difference time-domain electromagnetics simulations process based on Maxwells equations propagating the radar signal. A subspace clutter suppression detector is considered to remove dominant clutter eigenmodes. The improved detection performance over matched filtering is demonstrated using sea clutter model simulations.
AB - This paper studies the challenging problem of detecting a low radar cross-section target in heavy sea clutter by proposing a physics-based sea clutter generation model. The model includes a process that generates random dynamic sea clutter based on the governing physics of water gravity and capillary waves and a finite-difference time-domain electromagnetics simulations process based on Maxwells equations propagating the radar signal. A subspace clutter suppression detector is considered to remove dominant clutter eigenmodes. The improved detection performance over matched filtering is demonstrated using sea clutter model simulations.
UR - http://www.scopus.com/inward/record.url?scp=84905248190&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.2014.6854923
DO - 10.1109/ICASSP.2014.6854923
M3 - Conference contribution
AN - SCOPUS:84905248190
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 6830
EP - 6833
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -