Coherent detection with non-stationary high grazing angle X-band sea-clutter

The detection of radar targets in non-stationary sea-clutter is an important research problem for the radar community. A successful detection scheme should take account of the first and second order statistics, maintain a constant false alarm rate and have a relatively simple processing scheme. Three detection scenarios based on the cell averaging constant false alarm rate (CA-CFAR) algorithm are investigated in this paper using the Ingara high grazing angle data. The first two apply the CA-CFAR algorithm in the time and frequency domains, while the third uses the output of an adaptive least squares filter applied to adaptively whiten the data.