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Decimated noise estimation and/or beamforming for wireless communications
| Details |
Inventors: Magee, David Patrick; Hosur, Srinath;
Assignee: Texas Instruments Incorporated (Dallas, TX)
Primary Examiner: Pham; Chi
Assistant Examiner: Tran; Khanh Cong
Attorney, Agent or Firm: Mosby; April M., Brady, III; Wade James, Telecky, Jr.; Frederick J.
A system and method facilitate estimating noise in a received signal. The received signal includes a plurality of data tones. Noise is estimated for a selected subset of data tones for each data burst, such that noise estimates for all data tones can be computed over a plurality of data bursts. As a result of spreading the noise estimates over more than one burst, the overall computations associated with obtaining the noise estimates can be reduced based on the size of the respective subsets. The updated data tone noise estimates further can be employed in subsequent processing, such as in beamforming calculations. |
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DETAILED DESCRIPTION The following presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention.
This summary is not an extensive overview of the invention.
It is intended to neither identify key or critical elements of the invention nor delineate the scope of the invention.
Its sole purpose is to present some concepts of the invention in a simplified form as a prelude to the more detailed description that is presented later.
One aspect of the present invention provides a noise estimation system for a communications system capable of improving system performance.
The noise estimation system includes a selector that selects a subset of data tones (or carrier tone frequencies) from a given data burst.
Noise estimates are computed for the data tones in the selected subset.
The noise estimates can be used to update previously computed noise estimates.
By controlling how the data tones in each subset are selected, such as based on a burst counter that monitors the received data bursts or other criteria, one can reduce the number of calculations required for each data burst.
For example, the noise estimates can be performed at every other, every fourth, or every n.
sup.
th data tone, where n is a natural number (e.
g.
, an integer>0).
Alternatively, data tones can be organized into consecutive subsets of data tones.
After the noise estimates for all data tones have been updated, the data tone selection criteria can be reset to perform additional noise estimates for such tones.
The updated noise estimates further can be stored, such as in internal memory, for use in subsequent processing.
In a particular aspect of the present invention, the noise estimates for the data tones can be employed in beamforming computations.
Because the noise estimates have been decimated in accordance with the present invention, the overhead associated with signal processing requirements for beamforming also are reduced, thereby improving the level of system performance
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Cell Phones 
