Abstract
Abstract Instantaneous frequency (IF) estimation of signals embedded in high noise is considered. A time-frequency (TF) approach based on the Wigner distribution (WD) is proposed, i.e. the WD is processed in order to enable accurate IF estimation of both monocomponent and multicomponent signals in high noise environment. To that end, a two-step procedure is introduced. In the first step, the auto terms are emphasized with respect to noise. In the second step, the influence of inner interferences, cross terms and noise is suppressed, yielding the final TF representation. The accuracy performance of the proposed method, validated on simulated and real data, is on par with the state-of-the-art methods. However, it is characterized by significantly lower calculation complexity.
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