Multi Input Multi Output Blind SignalSeparation using Second Order Statistics
نویسندگان
چکیده
In the present paper a Multi Input Multi Output (MIMO) source separation method for dynamic channels is proposed. The algorithm is based on second order statistics of the observed signals. A new separation structure, based on cofactors, is proposed with a parametrization such as to reduce the number of estimated parameters to a minimum. Simulations with the algorithm are presented.
منابع مشابه
References in Blind Separtion & Identification, and Control Theory
A linear prediction-like algorithm for passive localization of near-field sources, [5] K. Abed Meraim and Y. Hua, " Blind identification of multi-input multi-output system using minimum noise subspace, " IEEE Trans. On subspace methods for blind identification of single-input multiple-output FIR systems, " IEEE Trans. Blind source separation using second order cyclostationary statistics, " IEEE...
متن کاملMIMO blind second - order equalization method
The identiication of vector-valued FIR transfert functions using exclusively second-order statistics has become conventional. The so-called Subspace Method provides a nice and eecient way of solving the problem. However, the extension to the Multi-Input/Multi-Output (MIMO) case is not that straightforward and, for instance, some severe indetermination drawbacks may occur. We show in this paper ...
متن کاملBlind channel equalization with colored sources based on second-order statistics: a linear prediction approach
We consider the blind equalization and estimation of single-user, multichannel models from the second-order statistics of the channel output when the channel input statistics are colored but known. By exploiting certain results from linear prediction theory, we generalize the algorithm of Tong et al., which was derived under the assumption of a white transmitted sequence. In particular, we show...
متن کاملBlind Decorrelation and Deconvolution Algorithm For Multiple Input Multiple Output System I theorem derivation
The problems of blind decorrelation and blind deconvolution have attracted considerable interest recently These two problems traditionally have been studied as two di erent subjects and a variety of algorithms have been proposed to solve them In this paper we consider these two problems jointly in the application of a multi sensor network and propose a new algorithm for them In our model the sy...
متن کاملCalculation of three-regions input-output coefficients, hybrid Location Quotient - Gravity Method, (Case Study: oil-rich regions, Tehran Province, and the rest national economies)
Regional policy requires the use of a suitable economic model. One of the common patterns in this field is the multi-region input-output model in which the national economy is subdivided into regions with different comparative advantages and on the basis of specific policies. Multi-regional input-output data preparation in Iran has always been one of the main challenges in using them to measure...
متن کامل