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Signal Denoising using Modified Complex SSA Method with Application to Frequency Estimation

The problem of denoising of the noisy signals is considered in the paper. The modification of the complex singular spectrum analysis (SSA) method for complex-valued signal model is presented. The application of the modified complex SSA method as preprocessing stage to subspace-based methods used for frequency estimation is considered. Possible applications of proposed approach in communication systems are considered. The feasible ways of further improving of proposed approach performance are considered. Simulation results confirm the effectiveness of using of the modified complex SSA. It is shown that the application of the modified SSA allows to improve the accuracy of frequency estimation.