We describe a new method for blind system identification that uses the cross relation properties between two or more sensor signals to estimate the impulse responsesof the channels. The method performs as well or better than other similar blind identification techniques under noisy and ill-conditioned channel conditions, and is computationally simpler to implement.

By an indirect control approach, an adaptive pole-placement control problem is considered for a scalar discrete-time linear plant assuming the knowledge of an upper bound of the plant order. A class of models that can be regarded IO be input-output equivalent to the plant is first constructed based on the parrrneter estimate generated by a least-squares-type identification scheme. A minimizatio...

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Recent studies have demonstrated that correntropy is an efficient tool for analyzing higher-order statistical moments in nonGaussian noise environments. Although correntropy has been used with complex data, no theoretical study was pursued to elucidate its properties, nor how to best use it for optimization . This paper presents a probabilistic interpretation for correntropy using complex-value...

In this paper, we propose a new recursive subspace model identification (RSMI) based on regression and natural power method (NP) which is an array signal processing algorithm with excellent convergence properties. We call this new algorithm as ‘R-NP’. The basic idea of the algorithm is to utilize an unstructured least squares linear regression approach at the updating observation vector step an...

Abstract—This article is about first step of structural health monitoring by identifying structural system in the presence of unknown input. In the structural system identification, identification of structural parameters such as stiffness and damping are considered. In this study, the Kalman filter (KF) design for structural systems with unknown excitation is expressed. External excitations, s...

Traditional recursive least squares (RLS) adaptive filtering is widely used to estimate the impulse responses (IR) of an unknown system. Nevertheless, RLS estimator shows poor performance when tracking rapidly time-varying systems. In this paper, we propose a multi-layered (m-RLS) address concern. The m-RLS composed multiple estimators, each which employed and eliminate misadjustment previous l...