IP Library Granted Patent US 10,218,392
Granted Patent B2
US 10,218,392 · App. 15/492,902 · Granted Feb 26, 2019

Wide bandwidth digital predistortion system with reduced sampling rate

Inventors: Wan-Jong Kim (Port Moody, CA); Shawn Patrick Stapleton (Vancouver, CA)
Assignee: Dali Systems Co. Ltd.
H04B1/0475H03F1/02H03F1/3241H03F3/24H04B1/0017H04B2001/045H04B2001/0425H04B2001/0433
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Quick Facts
Patent No.
US 10,218,392
App. No.
15/492,902
Granted
Feb 26, 2019
Kind
B2
Abstract

A digital predistortion linearization method is provided for increasing the instantaneous or operational bandwidth for RF power amplifiers employed in wideband communication systems. Embodiments of the present invention provide a method of increasing DPD linearization bandwidth using a feedback filter integrated into existing digital platforms for multi-channel wideband wireless transmitters. An embodiment of the present invention utilizes a DPD feedback signal in conjunction with a low power band-pass filter in the DPD feedback path.

Claims (45)

1. A method of operating a communications system, the method comprising:

receiving a signal at a digital predistorter (DPD) having a DPD bandwidth;

introducing predistortion to the signal using the DPD to generate a predistorted signal;

filtering the predistorted signal using a digital filter to generate a filtered signal, wherein the predistorted signal is filtered over a filter bandwidth less than the DPD bandwidth;

amplifying the filtered signal to generate an amplified signal;

coupling a first portion of the amplified signal to provide a feedback signal; and

filtering the feedback signal using a band-pass filter to generate a filtered feedback signal, wherein the band-pass filter has a filter bandwidth less than the DPD bandwidth.

2. The method of claim 1 , wherein introducing predistortion to the signal using the DPD comprises applying an indirect learning algorithm.

3. The method of claim 2 , wherein applying an indirect learning algorithm comprising using a coefficient estimator.

4. The method of claim 1 , wherein introducing predistortion to the signal using the DPD comprises applying a coefficient estimator.

5. The method of claim 1 , wherein the signal comprises digital complex input samples.

6. The method of claim 1 , further comprising:

converting the filtered signal to an analog signal; and

modulating the analog signal to generate a modulated signal.

7. The method of claim 6 , wherein the analog signal is modulated using an analog quadrature modulator (AQM).

8. The method of claim 6 , further comprising:

downconverting the filtered feedback signal to generate a downconverted signal;

converting the downconverted signal to a digital signal; and

providing the digital signal to the DPD.

9. The method of claim 8 , wherein downconverting the filtered feedback signal includes:

mixing the filtered feedback signal with a local oscillator signal.

10. The method of claim 8 , further comprising:

filtering a second portion of the amplified signal with a duplexer to generate an output signal; and

transmitting the output signal.

11. A communications system comprising:

a digital predistorter (DPD) operable to receive an input signal and output a predistorted input signal, wherein the DPD is characterized by a first bandwidth;

a digital filter operable to receive the predistorted input signal and output a filtered input signal, wherein the digital filter is characterized by a second bandwidth that is less than the first bandwidth;

a power amplifier operable to amplify the filtered input signal and output an amplified signal; and

a band-pass filter operable to receive a portion of the amplified signal in a feedback path, wherein the band-pass filter is characterized by a third bandwidth that is less than the first bandwidth, and wherein the band-pass filter is operable to output a filtered feedback signal.

12. The communications system of claim 11 , wherein the DPD is operable to apply an indirect learning algorithm.

13. The communications system of claim 11 , wherein the DPD comprises a coefficient estimator.

14. The communications system of claim 13 , wherein the DPD is operable to apply an indirect learning algorithm.

15. The communications system of claim 11 , wherein the input signal comprises digital complex input samples.

16. The communications system of claim 11 , further comprising:

a digital-to-analog converter operable to convert the filtered input signal to an analog signal; and

a modulator operable to modulate the analog signal to generate a modulated signal.

17. The communications system of claim 16 , wherein the modulator is an analog quadrature modulator (AQM).

18. The communications system of claim 16 , further comprising:

a downconverter operable to downconvert the filtered feedback signal to generate a downconverted signal; and

an analog-to-digital converter operable to convert the downconverted signal to a digital signal and coupled to the DPD.

19. The communications system of claim 18 , wherein the downconverter includes:

a mixer operable to mix the filtered feedback signal with a local oscillator signal.

20. The communications system of claim 18 , further comprising:

a duplexer operable to filter a second portion of the amplified signal to generate an output signal; and

an antenna operable to transmit the output signal.

Assignments (2)
SECURITY INTEREST Recorded Jul 24, 2019
From: DALI WIRELESS, INC.
To: DALI RESEARCH (NORTHWIND) LLC
Reel/Frame 049846/0055 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 27, 2018
From: KIM, WAN-JONG; STAPLETON, SHAWN PATRICK
To: DALI SYSTEMS CO. LTD.
Reel/Frame 047158/0194 →
Continuity (4)
Continuation 14987093 · Jan 4, 2016
Continuation 14552231 · Nov 24, 2014
Continuation 13777194 · Feb 26, 2013
Related Publication 20170353199A1 · Dec 7, 2017
Cited By (1)
US 12,407,368