A vast array of ocean instrumentation has been developed for research purposes since the middle of the twentieth century, among which remote sensing technologies have become increasingly important. Within this class of instruments, high frequency (HF) surface and skywave radar, microwave marine radar and global navigation satellite systems (GNSS)-based radar have been successfully implemented in gathering information on large tracts of the ocean surface. This book provides a systematic introduction to the principles, state-of-the-art methods and applications of HF surface and sky wave radar, microwave marine radar and GNSS-based radar, as well as an exploration of ongoing challenges in the field.

This book is devoted to the description of optimum signal processing algorithms which can find useful applications in radar systems. The monograph collects about twenty papers written by the Editor and his colleagues. Structurally the collection of the papers is divided into four parts. The first describes the adaptive cancellation techniques of radar clutter; the second part addresses the challenging problem of finding the optimum detection schemes to deal with target and clutter signals having non-Gaussian probability density function, and any type of autocorrelation function. The third group of papers considers the problem of finding the optimum detection schemes for the case of netted multi-static radar systems. The last part is concerned with more general processing techniques used in radar systems for surveillance.