Invention Grant
- Patent Title: Non-linear modeling of a physical system using direct optimization of look-up table values
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Application No.: US14168621Application Date: 2014-01-30
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Publication No.: US09813223B2Publication Date: 2017-11-07
- Inventor: Kameran Azadet
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F7/60
- IPC: G06F7/60 ; H04L5/14 ; H04L25/08 ; G06F17/50 ; H04B1/62 ; H04L1/00 ; H04B1/04 ; G06F17/15 ; G06F9/30 ; H04L25/03 ; H04L27/36 ; H04J11/00 ; H04B1/525

Abstract:
Techniques for non-linear modeling of a physical system are provided using direct optimization of look-up table values. A non-linear system with memory is modeled by obtaining physical data for the non-linear system by applying a set of input samples x(n) to the non-linear system and measuring an output y(n) of the non-linear system; directly computing parameters Φ of a memory model for the non-linear system from the physical data, wherein the memory model comprises one or more look-up tables having linear interpolation and wherein the parameters Φ produce a substantially minimum mean square error; and providing the parameters Φ for storage as entries in the one or more look-up tables. The mean square error can be determined, for example, using one or more of a least squares algorithm, a least mean square algorithm and a recursive least squares algorithm. The look-up tables are optionally used in a processor instruction to implement digital pre-distortion.
Public/Granted literature
- US20140316752A1 Non-Linear Modeling of a Physical System Using Direct Optimization of Look-Up Table Values Public/Granted day:2014-10-23
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