A mutual information-based time-frequency atom extraction algorithm for radar emitter recognition

Atomic Atomic Decomposition (AD) is an adaptive approximation technique that provides a sparse, flexible, and physically meaningful representation of signals. The application of AD, extracting the high resolution time-frequency characteristics of signals for complex radar emitter detection and estimation has been extensively investigated. To overcome the resolution problem and the "overfitting" phenomenon caused when previous AD algorithms are used to deal with multiple signals that are partially superimposed in the time domain, a novel algorithm using the subspace orthogonal matching pursuit technique is presented in this paper. This algorithm can also obtain higher parameter estimation accuracy, compared to other commonly employed.