Journal ArticleDOI
Blind Identification of Multi-Channel ARMA Models Based on Second-Order Statistics
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TLDR
This correspondence presents a new second-order statistical approach to blind identification of single-input multiple-output (SIMO) autoregressive and moving average (ARMA) system models that exploits the dynamical autore progressive information of the model contained in the autocorrelation matrices of the system outputs but does not require the block Toeplitz structure of the channel convolution matrix used by classical subspace methods.Abstract:
This correspondence presents a new second-order statistical approach to blind identification of single-input multiple-output (SIMO) autoregressive and moving average (ARMA) system models. The proposed approach exploits the dynamical autoregressive information of the model contained in the autocorrelation matrices of the system outputs but does not require the block Toeplitz structure of the channel convolution matrix used by classical subspace methods. For the multi-channel model with the same autoregressive (AR) polynomial, sufficient conditions and an efficient identification algorithm are given such that the multi-channel model can be uniquely identified up to a constant scaling factor. Furthermore, an extension of the result to blind identification of multi-channel models with different AR polynomials is presented. Simulation results are given to show the effectiveness of the proposed approach.read more
Citations
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An Accurate Gravity Compensation Method for High-Precision Airborne POS
TL;DR: An accurate gravity compensation method is proposed, which includes the gravity disturbance as the error states of POS Kalman filter, and the appropriate model of gravity disturbance is constructed by time series analysis coupled with the direct difference method.
Journal ArticleDOI
A New Deterministic Identification Approach to Hammerstein Systems
TL;DR: A new deterministic identification approach is presented, which blindly identifies the linear dynamic part followed by the estimation of the nonlinear function and can obtain the true values of the system parameters in the noise-free case and an asymptotically consistent estimate in the presence of noise.
Journal ArticleDOI
Blind multivariable ARMA subspace identification
Chengpu Yu,Michel Verhaegen +1 more
TL;DR: Two blind identification methods are presented for multi-channel autoregressive systems having a common unknown input using measured output signals that are perturbed by additive white noise sequences and a general subspace identification method is developed.
Journal ArticleDOI
Improved Spatio-Temporal Linear Models for Very Short-Term Wind Speed Forecasting
TL;DR: In this article, the spatio-temporal (multi-channel) linear models, which use temporal and the neighbouring wind speed measurements around the target location, for the best short-term wind speed forecasting are investigated.
Journal ArticleDOI
Blind system identification using precise and quantized observations
TL;DR: A new deterministic blind identification algorithm is presented for multi-channel FIR systems using precise observations, in which the system parameters can be consistently estimated and the common source signal can be stably recovered.
References
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Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI
Subspace methods for the blind identification of multichannel FIR filters
TL;DR: This paper addresses a problem arising in a context of digital communications by exploiting an orthogonality property between "signal" and "noise" subspaces to build some quadratic form whose minimization yields the desired estimates up to a scale factor.
Journal ArticleDOI
Blind identification and equalization based on second-order statistics: a time domain approach
TL;DR: Simulations have demonstrated promising performance of the proposed algorithm for the blind equalization of a three-ray multipath channel, which may achieve equalization with fewer symbols than most techniques based only on higher-order statistics.
Journal ArticleDOI
A least-squares approach to blind channel identification
TL;DR: A new blind identification algorithm based solely on the system outputs is proposed and necessary and sufficient identifiability conditions in terms of the multichannel systems and the deterministic input signal are presented.
Journal ArticleDOI
Exponential convergence of adaptive identification and control algorithms
TL;DR: Output and equation error adaptive identification algorithms and an adaptive control algorithm are shown to be exponentially convergent under a deterministic or stochastic persistently exciting condition on the reference trajectory together with some standard conditions.