CLUTTER REJECTION USING ADAPTIVE ESTIMATION OF A CLUTTER PROBABILITY DENSITY FUNCTION

摘要

Disclosed is a signal processor for identifying a target contained in an image in the presence of interference, said signal processor characterized by: a target model for processing target feature estimates; a detection processor for processing input image data comprising the image and for generating regions of interest and features contained in the image; a temporal processor for processing the regions of interest and the features contained in the image output by the detection processor, and for generating tracks and features contained in the image; a target processor coupled to the target model and the temporal processor for processing the tracks and features contained in the image and the target feature estimates to adaptively estimate the feature probability density function of the interference from the image data, and for processing the estimated probability density function and the target feature estimates using a Bayesian classifier to generate a signal indicative of the target contained in the image in the presence of interference. Also disclosed is a method for the same.