2005
DOI: 10.1109/lawp.2005.859386
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State-space spectral estimation of characteristic electromagnetic responses in wideband data

Abstract: This letter utilizes a robust spectral estimation method, based on state-space control theory, to coherently process wideband frequency domain field data of any object and extract specific modal (or characteristic) responses associated with wave propagation along the object. The estimation problem is formulated in terms of well-known range processing used in radar imaging. Thus, the data is modeled in terms of complex sinusoids, whose amplitude is scaled by the decay constants of the modes and whose phase yiel… Show more

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Cited by 17 publications
(15 citation statements)
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“…If the SNR value is high enough there would be a sharp transition between singular values of the signal and those of noise. The criterion for separating the two parts is the Akaike information criterion which has been shown to be a reliable model order estimator described in [5,10]. Hence, U, Σ, V * could be divided into two different subspaces as follows,…”
Section: State -Space Representation Of the Signalmentioning
confidence: 99%
“…If the SNR value is high enough there would be a sharp transition between singular values of the signal and those of noise. The criterion for separating the two parts is the Akaike information criterion which has been shown to be a reliable model order estimator described in [5,10]. Hence, U, Σ, V * could be divided into two different subspaces as follows,…”
Section: State -Space Representation Of the Signalmentioning
confidence: 99%
“…A second contribution of this paper is the rigorous validation of creeping wave scattering using the state space method (SSM) [ Piou , 2005; Naishadham and Piou , 2005; Naishadham and Piou , 2008]. SSM is applied to extract spectral content and synthesize the wideband frequency response of creeping waves from a method of moments (MoM) solution for the scattering by the coated cylinder.…”
Section: Introductionmentioning
confidence: 99%
“…In [17], the state space approach is used to process time series data to estimate the frequency and the intensity of the damped sinusoidal signal. In [18][19][20][21], the state space approach based on DE model is used to extract the intensity, the damped rate and the range information of the scattering center. The example of the sine signal recovery used in [22] proved that the state space approach could reduce the sensitivity of parameter estimation to noise.…”
Section: Introductionmentioning
confidence: 99%
“…The state space approach obtains the system poles directly by using matrix singular value decomposition so that the system poles could be anywhere in the z-plane, which means that the intensity of each scattering center can have different frequency-dependent factors. Therefore, it can capture the dynamic wideband behavior of scattering mechanism [19,20]. Meanwhile, the current state space approach has its drawbacks.…”
Section: Introductionmentioning
confidence: 99%