Nonlinear Detection of Weak Pseudoperiodic Signals hidden under the Noise Floor

Pukenas, K.
May 2010
Electronics & Electrical Engineering;2010, Issue 100, p77
Academic Journal
The extraction of weak pseudoperiodic (deterministic) signals buried in a additive Gaussian noisy background is investigated by ap-plying the nonlinear signal detection algorithm, based on phase-space embedding technique, principal component analysis and power spectral analysis. By analyzing Rossler chaotic signals, it is demonstrated that the detection algorithm based on the singular value de-composition of the time-delayed covariance matrix of the reconstructed high-dimensional phase space matrix is able to detect weak pseudoperiodic signals completely hidden beneath the additive Gaussian noise floor at SNR up to -24 dB.


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