Adaptive polarimetric target detection with coherent radar part I: Detection against Gaussian background

The derivation of a completely adaptive polarimetric coherent scheme to detect a radar target against a Gaussian background Is presented. A previously proposed Generalized Likelihood Ratio Test (GLRT) polarimetric detector Is extended to the case of a general number of channels; this exploits the polarimetric characteristics of the received radar echoes to improve the detection performance. Together with the fully adaptive scheme, a model-based detector Is derived that has a lower estimation loss. A complete theoretical expression is derived for the detection performance of both proposed polarimetric detectors. They are shown to have Constant False Alarm Rate (CFAR) when operating against Gaussian clutter, but to be sensitive to deviations from the Gaussian statistic (problem solved in Part H of this work). The application to recorded radar data demonstrates the performance improvement achievable in practice.