Method and system for aligning signals widely spaced in frequency for wideband digital predistortion in wireless communication systems
11394350 · 2022-07-19
Assignee
Inventors
Cpc classification
H03F3/189
ELECTRICITY
H04L25/03063
ELECTRICITY
H04L27/0002
ELECTRICITY
H03F2200/336
ELECTRICITY
International classification
H03F1/26
ELECTRICITY
H03F3/189
ELECTRICITY
H04L25/03
ELECTRICITY
H03F1/32
ELECTRICITY
Abstract
A system for time aligning widely frequency spaced signals includes a digital predistortion (DPD) processor and a power amplifier coupled to the DPD processor and operable to provide a transmit signal at a power amplifier output. The system also includes a feedback loop coupled to the power amplifier output. The feedback loop comprises an adaptive fractional delay filter, a delay estimator coupled to the adaptive fractional delay filter, and a DPD coefficient estimator coupled to the delay estimator.
Claims
1. A system comprising: a digital predistortion (DPD) processor; a power amplifier coupled to the DPD processor and operable to provide a transmit signal at a power amplifier output; and a feedback loop coupled to the power amplifier output, wherein the feedback loop comprises: an analog-to-digital converter (ADC) coupled to the power amplifier output and outputting a feedback signal, wherein the ADC has a sampling rate; an adaptive fractional delay filter coupled to the ADC unit and comprising a delay parameter, wherein the adaptive fractional delay filter is configured to delay the feedback signal by a delay that is variable based on a fraction of the sampling rate and on the delay parameter; a delay estimator coupled to the adaptive fractional delay filter and configured to set the delay parameter; and a DPD coefficient estimator coupled to the delay estimator.
2. The system of claim 1, wherein the delay estimator further comprises a control algorithm.
3. The system of claim 1, wherein the adaptive fractional delay filter comprises a third or higher order Lagrange Farrow filter.
4. The system of claim 1, wherein the delay estimator is operable to calculate a function of a timing error.
5. The system of claim 4, wherein the delay estimator is operable to calculate the function of the timing error by filtering the transmit signal and an output of the adaptive fractional delay filter.
6. The system of claim 4, wherein the function of the timing error comprises a magnitude squared function.
7. The system of claim 4, wherein the function of the timing error comprises a magnitude peak correlation function.
8. The system of claim 4, wherein the function of the timing error comprises an error vector magnitude (EVM) function.
9. The system of claim 1, wherein the adaptive fractional delay filter is a low pass filter.
10. The system of claim 1, wherein the DPD coefficient estimator is operable to estimate predistortion coefficients using the delay parameter.
11. The system of claim 1, wherein the delay parameter is calculated by a counter multiplied by a step size parameter.
12. The system of claim 11, wherein the step size parameter ranges from 0 to 1.
13. The system of claim 1, wherein the delay parameter ranges from 0 to 1.
14. A system comprising: a digital predistortion (DPD) processor including an output operable to output a predistorted signal; a power amplifier coupled to the DPD processor and operable to provide a transmit signal at a power amplifier output; and a feedback loop coupled to the power amplifier output, wherein the feedback loop comprises: an analog-to-digital converter (ADC) coupled to the power amplifier output and outputting a feedback signal, wherein the ADC unit has a sampling rate; an adaptive fractional delay filter coupled to the ADC and comprising a delay parameter; a delay estimator coupled to the adaptive fractional delay filter and the output of the DPD processor and configured to determine a delay between the predistorted signal and the feedback signal, wherein the delay is variable based on a fraction of the sampling rate of the ADC unit and on the delay parameter, wherein the delay estimator is further configured to set the delay parameter; and a DPD coefficient estimator coupled to the delay estimator.
15. The system of claim 14, wherein the transmit signal comprises an in-phase signal and a quadrature-phase signal and the feedback signal comprises an in-phase feedback signal and a quadrature-phase feedback signal.
16. The system of claim 14, wherein the delay is a function of a delay parameter equal to a counter multiplied by a step size parameter.
17. The system of claim 16, wherein the delay equals the delay parameter divided by the sampling rate.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1)
(2)
(3)
DETAILED DESCRIPTION OF SPECIFIC EMBODIMENTS
(4) The present invention generally relates to wideband communication systems using multiplexing modulation techniques. More specially, the present invention relates to a method of aligning widely frequency spaced signals for wideband digital predistortion linearization in wireless transmitters.
(5) The linearity and efficiency of radio frequency (RF) power amplifiers (PAs) have been a critical design issue for non-constant envelope digital modulation schemes which have high peak to average power ratio (PARs), with the increasing importance of spectral efficiency in wireless communication systems. RF PAs have nonlinearities which generate amplitude modulation—amplitude modulation (AM-AM) and amplitude modulation—phase modulation (AM-PM) distortion at the output of the PA. These effects create spectral regrowth in the adjacent channels and in-band distortion which degrades the error vector magnitude (EVM). Therefore, one of the various linearization techniques is typically applied to the RF PAs. Various linearization techniques have been proposed in the literature such as feedback, feedforward and predistortion.
(6) The most promising linearization technique is baseband digital predistortion (DPD), which takes advantage of the recent advances in digital signal processors. DPD can achieve good linearity, good power efficiency with a reduced system complexity when compared to the widely used conventional feedforward linearization technique. Moreover, a software implementation provides the digital predistorter with re-configurability suitable for the multi-standard environments. In addition, a PA using efficiency enhancement technique such Doherty power amplifier (DPA) is able to achieve higher efficiencies than traditional PA designs at the expense of linearity. Therefore, combining DPD with a DPA using efficiency enhancement technique has the potential of maximizing system linearity and overall efficiency.
(7) The typical wireless communication systems instantaneous bandwidth supports around 20 MHz to 25 MHz. The common delay estimation for digital predistortion algorithm uses magnitude correlation between the transmit signal and feedback signal with two times or more oversampling.
(8) However, requirements of the instantaneous bandwidth (>25 MHz) for next generation wireless system continue to increase, which means that wideband multicarrier can be widely frequency spaced, for example, carrier spacing can be up to 60 MHz for systems supporting 65 MHz of instantaneous bandwidth. This can create several correlation peaks with a very small time difference due to the large carrier spacing. This can cause a large delay alignment error, which is undesirable. Thus, embodiments of the present invention provide a wideband digital predistortion system with robust delay estimation.
(9)
(10) The delay estimator receives inputs from the feedback path as well as inputs from the output of the DPD circuit. The delay estimator calculates the difference between these inputs and provides inputs to the coefficient estimator in order to time align the signals as part of the error minimization process. In some embodiments of the present invention, the delay estimator provides a value, which is a function of the timing error between the in-phase component at the output of the DPD circuit and the in-phase component of the feedback signal and the quadrature-phase component at the output of the DPD circuit and the quadrature-phase component of the feedback signal.
(11) As an example of the computation of the function of the timing error, which can also be referred to as a function related to the timing error, the function can be the mean squared error difference between the complex feedback signal and the complex output of the DPD circuit.
Error=(Î−I).sup.2+({circumflex over (Q)}−Q).sup.2
(12) where: Î is the in-phase feedback signal {circumflex over (Q)} is the quadrature-phase feedback signal I is the in-phase output DPD signal Q is the quadrature-phase output DPD signal
(13)
(14) According to a present invention of the present invention, the fractional delay filter is implemented based on a third order Lagrange Farrow structure that enables a simple implementation and operates at the digital predistortion sample rate. A higher order Lagrange Farrow filter can be used as appropriate to the particular application. Minimum delay resolution can be 10 times the sample rate or higher, which means that it can be as small as 0.1 ns for a feedback ADC having a sample rate of 1 GHz. Of course, the minimum delay resolution will depend on the number of bits in some implementations. In order to provide a similar minimum delay, conventional systems would use a 10 GHz sample rate interpolator in hardware or complicated and time consuming software filtering algorithm.
(15) The fractional delay filter allows for shifting of the signal (i.e., time shifting of a signal) by fractions of the sampling rate. As an example, if the sampling rate were 100 MHz, a conventional system would only sample at a rate resulting in 10 ns (i.e., 1/100 MHz) between each sample. As illustrated in
(16) Referring once again to
(17)
(18) Signals are captured at the outputs of the DPD circuit and the output of the feedback path (i.e., the outputs of the digital down converter). The output of the DPD circuit, and the output of the feedback path are magnitude aligned. Using the aligned captured signals of the two paths, a calculation of the function of the timing error is performed in the delay estimator as illustrated in
(19) Embodiments of the present invention provide for adaptive processing in real time to reduce signal error to a predetermined level. As will be evident to one of skill in the art, a predetermined number of symbols are captured (e.g., 4000 samples), a calculation of the function of the timing error is performed to determine the delay estimation value and then the coefficient estimator is provided with the delay.
(20) Referring to
(21) The method further includes f) incrementing a counter and g) repeating a) through f) one or more times. In some embodiments, a subset of a) through f) are repeated one or more times. As illustrated in
(22) After a number of iterations and increases in the value of the delay parameter, the method includes h) determining that the function of the timing error is less than the predetermined threshold and i) fixing the delay parameter. In an embodiment, the method also includes estimating predistortion coefficients using the delay parameter.
(23) It should be appreciated that the specific steps illustrated in
(24) It is also understood that the examples and embodiments described herein are for illustrative purposes only and that various modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the spirit and purview of this application and scope of the appended claims.