Title :
Adaptive modelling of sea clutter and detection of small targets in heavy clutter
Author :
Suvorova, Sofia ; Moran, Bill ; Viola, Marian
Author_Institution :
EWRD, DSTO, Edinburgh, UK
Abstract :
This paper describes and compares three methods for detection of low RCS radar targets in heavy sea clutter using a high PRF radar. Two methods are based on auto-regressive processes, one on Karhunen-Loeve decomposition. Experiments have been performed on DSTO sea clutter dataset using these methods and the results are presented in this paper.
Keywords :
Kalman filters; Karhunen-Loeve transforms; autoregressive processes; marine radar; principal component analysis; radar clutter; radar cross-sections; radar detection; Gauss-Markov model; Kalman filter; Karhunen-Loeve decomposition; adaptive modelling; autoregressive processes; heavy sea clutter; high PRF radar; low RCS radar targets; principal component analysis; small targets detection; Australia; Detectors; Doppler radar; Radar clutter; Radar cross section; Radar detection; Radar imaging; Sea measurements; Statistical distributions; Stochastic processes;
Conference_Titel :
Radar Conference, 2003. Proceedings of the International
Print_ISBN :
0-7803-7870-9
DOI :
10.1109/RADAR.2003.1278812
