DocumentCode :
1855458
Title :
Nonlinear processing of high resolution radar sea clutter
Author :
Cowper, Mark R. ; Mulgrew, Bernard
Author_Institution :
Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
2633
Abstract :
This work deals with investigating whether or not nonlinear predictor networks can be used to improve the performance of high resolution surveillance radars which are used to detect targets on, or near the sea surface. Prediction and detection results are presented for new sea clutter data sets
Keywords :
prediction theory; radar clutter; radar target recognition; radial basis function networks; search radar; nonlinear predictor networks; radial basis function neural networks; sea clutter; surveillance radars; target detection; time series; Chaos; Detectors; Polarization; Radar clutter; Radar detection; Sea surface; Signal resolution; Statistics; Surveillance; Wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-5529-6
Type :
conf
DOI :
10.1109/IJCNN.1999.833492
Filename :
833492
Link To Document :
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