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/sub /spl infin// sinusoidal estimator (HSE), which is derived by applying an H/sub /spl infin// 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 {v/sub k/} than the Kalman sinusoidal estimator (KSE), which is an improved version of the nonlinear filter previously proposed by the author.
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Kiyoshi Nishiyama (1999) studied this question.
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