Invention Grant
- Patent Title: Controlling mechanism for a direct learning algorithm
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Application No.: US15549870Application Date: 2015-02-10
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Publication No.: US10355650B2Publication Date: 2019-07-16
- Inventor: Rene Roeschke , Shavantha Kularatna , Bjoern Jelonnek , Christian Reichl
- Applicant: Nokia Solutions and Networks GmbH and Co. KG
- Applicant Address: DE Munich
- Assignee: Nokia Solutions And Networks GMBH And Co. KG
- Current Assignee: Nokia Solutions And Networks GMBH And Co. KG
- Current Assignee Address: DE Munich
- Agency: Harrington & Smith
- International Application: PCT/EP2015/052686 WO 20150210
- International Announcement: WO2016/128025 WO 20160818
- Main IPC: H03F1/26
- IPC: H03F1/26 ; H03F1/32 ; H03F3/195 ; H03F3/24

Abstract:
The present invention addresses method, apparatus and computer program product for controlling a Direct Learning Algorithm. Thereby, a power amplifier operating in a non-linear state is controlled. A signal to be amplified is input to a pre-distorter provided for compensating for non-linearity of the power amplifier. The pre-distorted output signal is forwarded from the pre-distorter to the power amplifier. Parameters of the pre-distorter are adapted in plural steps based on an error between a linearized signal output from the power amplifier and the signal to be amplified using an adaptive direct learning algorithm. It is detected whether the error diverges; and adapting of the parameters of the pre-distorter is stopped when it is determined that the error is diverging.
Public/Granted literature
- US20180034422A1 Controlling Mechanism for a Direct Learning Algorithm Public/Granted day:2018-02-01
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