IP Library › Granted Patent US 9,214,969
Granted Patent B2
US 9,214,969 · App. 14/522,508 · Granted Dec 15, 2015

Scalable digital predistortion system

Inventor: Oualid Hammi (Dhahran, SA)
Assignee: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
H04B1/0475H03F1/0288H03F1/3247H03F1/3258H03F2201/3233H04B2001/045H04B2001/0425
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 9,214,969
App. No.
14/522,508
Granted
Dec 15, 2015
Kind
B2
Abstract

The scalable digital predistortion system and method provides compensation for the nonlinear distortions of power amplifiers and transmitters. The scalable digital predistortion system and its associated update algorithms provide scalability in terms of signal bandwidth and average power, allowing for low complexity updates following changes in the signal's bandwidth and/or power level. The method applies both memory polynomial functions and memoryless predistortion functions for compensating for the nonlinear distortions.

Claims (24)

1. A scalable digital predistortion method for linearizing a power amplifier, comprising the steps of:

establishing a memoryless look-up table bank stored in computer readable memory, the memoryless look-up table bank having a set of memoryless predistortion functions stored therein indexed by average power values;

storing memory polynomial size parameters indexed by bandwidth in the computer readable memory, the size parameters including nonlinearity order and memory depth;

receiving a signal;

estimating an average power of the signal;

measuring bandwidth of the signal;

determining a nonlinearity order and a memory depth of a memory polynomial function associated with the bandwidth of the signal from the memory polynomial size parameters stored in the computer readable memory;

applying the memory polynomial function to the signal to generate a first modified signal;

determining a memoryless predistortion function associated with the estimated average power of the signal from the memoryless look-up table bank;

applying the memoryless predistortion function to the first modified signal to generate a second modified signal;

inputting the second modified signal to a power amplifier to produce an amplified signal;

outputting the amplified signal from the power amplifier; and

estimating a set of coefficients of the memory polynomial function based on the nonlinearity order, the memory depth, the first modified signal and the amplified signal to define the memory polynomial function.

2. The scalable digital predistortion method for linearizing a power amplifier as recited in claim 1 , wherein the step of estimating the average power of the signal comprises:

receiving L samples of the signal;

measuring the power of each of the L samples; and

averaging the L measured powers.

3. The scalable digital predistortion method for linearizing a power amplifier as recited in claim 1 , wherein the step of estimating the set of coefficients of the memory polynomial function comprises applying the Moore-Penrose pseudo-inverse method.

4. The scalable digital predistortion method for linearizing a power amplifier as recited in claim 1 , further comprising the steps of:

converting the second modified signal from digital to analog; and

up-converting the second modified signal around a carrier frequency of the signal.

5. The scalable digital predistortion method for linearizing a power amplifier as recited in claim 4 , further comprising the steps of:

down-converting the amplified signal; and

converting the amplified signal from analog to digital.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 23, 2014
From: HAMMI, OUALID, DR.
To: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
Reel/Frame 034023/0702 →
Continuity (2)
Continuation In Part 13891134 · May 9, 2013
Related Publication 20150043678A1 · Feb 12, 2015