The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 09, 2014
Filed:
Sep. 04, 2008
Bruno Melis, Turin, IT;
Rosalba Campanale, Turin, IT;
Alfredo Ruscitto, Turin, IT;
Federica Caldara, Turin, IT;
Bruno Melis, Turin, IT;
Rosalba Campanale, Turin, IT;
Alfredo Ruscitto, Turin, IT;
Federica Caldara, Turin, IT;
Telecom Italia S.p.A., Milan, IT;
Abstract
Signals received from channels exposed to multi-path propagation via a plurality of diversity antennas and including at least one pilot signal are processed by detecting a set of multi-path components for each received signal and computing a set of channel coefficients from multi-path components of the at least one pilot signal in the set of multi-path components. The set of channel coefficients is organized as a channel coefficient vector. From the channel coefficient vector, a set of combining weights is estimated to be applied to the received signals by: computing a spatial correlation matrix of the channel coefficient vector by neglecting the correlations between multi-path components of the channel coefficient vector having different delays, whereby the correlation matrix is a block diagonal matrix including null coefficients other than for non-null sub-matrixes arranged along the diagonal of the correlation matrix, wherein the sub-matrixes have a size equal to the number of diversity antennas; deriving from the spatial correlation matrix a resulting matrix by calculating the inverse of the sub-matrixes or a scaled version thereof; and multiplying the resulting matrix and the channel coefficient vector in order to obtain the desired set of combining weights.