Adaptive multidimensional signal processing for ocean surveillance

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.<>