A robust H∞ learning approach to blind separation of signals
Digital Signal Processing
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A novel robust estimator is proposed for extracting a single complex sinusoid and its parameter (frequency) from measurements corrupted by white noise. This estimator is called an H∞ sinusoidal estimator (HSE), which is derived by applying an H∞ filter to a noisy sinusoidal model with the state-space representation. Simulations demonstrate that the HSE is more robust to the nature of observation noise {vk} than the Kalman sinusoidal estimator (KSE), which is an improved version of the nonlinear filter previously proposed by the author