DocumentCode :
3409559
Title :
Adaptive multidimensional signal processing for ocean surveillance
Author :
Haykin, Simon
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fYear :
1991
fDate :
9-10 May 1991
Firstpage :
1
Abstract :
A discussion is presented of adaptivity and multidimensionality in the context of ocean surveillance using a surface-based radar. This environment is used to emphasize the basic notions of complexity and efficiency and the signal-processing roles of chaotic modeling, neural networks, Doppler-polarization (multidimensional) processing, and wavelet-inspired time-frequency analysis. The discussion is supported with experimental results obtained using data collected with a world-class quality-instrument facility known as the IPIX radar
Keywords :
Doppler effect; oceanographic equipment; radar clutter; radar systems; radar theory; sea ice; signal processing; Doppler processing; IPIX radar; adaptive multidimensional signal processing; chaotic modeling; growlers; icebergs; model complexity; neural networks; ocean surveillance; sea clutter; surface-based radar; system efficiency; wavelet-inspired time-frequency analysis; Chaos; Multidimensional signal processing; Multidimensional systems; Neural networks; Oceans; Radar; Sea surface; Signal processing; Surveillance; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-87942-638-1
Type :
conf
DOI :
10.1109/PACRIM.1991.160666
Filename :
160666
Link To Document :
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