Clutter classification in heterogeneous environments

In this paper, we present a preprocessing method for classification of environmental clutter surrounding in radar application. This method is developed based on Generalized Likelihood Ratio (GLR) hypotheses test, employing observed data vectors from cells surrounding each radar cell. These tests attempt to recognize the equality or inequality of clutter Covariance Matrix (CM) of radar cells. Using these tests, an algorithm is presented which classifies the clutter. Simulation results show that detectors and classifiers achieve satisfactory performance under several simulated situations of known spectral clutter models.