CN-122027059-A - Radio frequency channel self-adaptive measurement and control method and related device

CN122027059ACN 122027059 ACN122027059 ACN 122027059ACN-122027059-A

Abstract

The application relates to a radio frequency channel self-adaptive measurement and control method and a related device, wherein the method comprises the steps of synchronously collecting digital baseband input, radio frequency feedback output and instantaneous power supply voltage signals; the method comprises the steps of constructing a three-dimensional nonlinear distortion model describing output of a power amplifier as a joint function of input characteristics and power supply fluctuation, calculating compensation parameters changing along with voltage based on the model to implement dynamic predistortion, adjusting signal peaks by calculating cross correlation coefficients of radio frequency residual errors and power supply voltage, and dynamically reconstructing direct current supply voltage according to throughput indexes. The application has the advantages of realizing accurate linearization compensation under unsteady power supply by decoupling the device and the power supply characteristic through three-dimensional modeling, reducing the transient response requirement of hardware and self-adaptively balancing the communication quality and energy efficiency.

Inventors

LI MING
WU XIAOBIN

Assignees

上海京济通信技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260209

Claims (8)

1. The radio frequency channel self-adaptive measurement and control method is characterized by comprising the following steps: S1, synchronously acquiring three time domain signals in the operation process of a data transmission terminal, wherein the three time domain signals comprise a digital baseband input signal X, a radio frequency feedback output signal Y after down-conversion and synchronous processing and an instantaneous power supply voltage signal V of a power amplifier power supply end; S2, constructing a three-dimensional nonlinear distortion model based on the three-way time domain signals, wherein the three-dimensional nonlinear distortion model describes the output of the power amplifier as a joint function of the input signal characteristics and the power supply voltage fluctuation; S3, calculating predistortion compensation parameters which dynamically change along with the instantaneous power supply voltage signal V based on the three-dimensional nonlinear distortion model, and carrying out real-time predistortion processing on the digital baseband input signal X by utilizing the predistortion compensation parameters so as to generate a radio frequency driving signal and transmitting the radio frequency driving signal to a power amplifier; S4, performing hierarchical closed loop feedback optimization, adjusting peak characteristics of the digital baseband input signal X by calculating a cross correlation coefficient of a radio frequency output residual signal and the instantaneous power supply voltage signal V, and dynamically reconstructing direct current supply voltage of the power amplifier supply end according to data transmission capacity of the data transmission terminal, wherein the radio frequency output residual signal is determined based on a difference value between the digital baseband input signal X and the radio frequency feedback output signal Y.
2. The radio frequency channel adaptive measurement and control method according to claim 1, wherein said step S2 comprises the sub-steps of: S21, extracting a static mapping relation between the digital baseband input signal X and the radio frequency feedback output signal Y, and constructing a static nonlinear item representing inherent distortion characteristics of the power amplifier under a reference rated voltage, wherein the reference rated voltage is a nominal direct current voltage value of a power supply of the power amplifier; s22, extracting fluctuation characteristics of the instantaneous power supply voltage signal V, and constructing a dynamic power supply modulation item representing sensitivity of nonlinear characteristics of a power amplifier, which changes along with fluctuation of the instantaneous power supply voltage signal V; S23, the dynamic power supply modulation term is used as a time-varying weighting coefficient to be added to the static nonlinear term, and the three-dimensional nonlinear distortion model is generated, so that output response of the three-dimensional nonlinear distortion model comprises dynamic gain compression prediction generated along with falling of the instantaneous power supply voltage signal V.
3. The radio frequency channel adaptive measurement and control method according to claim 2, wherein said step S3 comprises the sub-steps of: S31, monitoring the instantaneous power supply voltage signal V in real time, and calculating a predistortion compensation parameter corresponding to the voltage dip amplitude of the instantaneous power supply voltage signal V relative to the reference rated voltage by combining the voltage sensitivity relation established in the three-dimensional nonlinear distortion model; s32, generating an amplitude correction factor reversely corresponding to the voltage sag amplitude according to the predistortion compensation parameter; s33, the amplitude correction factor is applied to the digital baseband input signal X, and the radio frequency driving signal with the pre-enhanced amplitude is generated so as to offset the gain loss of the power amplifier caused by the drop of the instantaneous power supply voltage signal V.
4. A radio frequency channel adaptive measurement and control method according to claim 3, characterized in that said step S4 comprises the sub-steps of: S41, acquiring a radio frequency output residual signal subjected to predistortion treatment, and calculating a cross correlation coefficient between the radio frequency output residual signal and the instantaneous power supply voltage signal V; s42, comparing the cross-correlation coefficient with a preset association threshold, if the cross-correlation coefficient is larger than the association threshold, judging that the current distortion is insufficient and dominant by the power supply capacity of a power supply, triggering the adjustment of a peak clipping control strategy, and reducing the peak-to-average ratio of the digital baseband input signal X until the cross-correlation coefficient is lower than the association threshold; s43, after the peak clipping control strategy is adjusted, monitoring the effective data throughput index of the data transmission terminal in real time; S44, if the effective data throughput index is lower than a preset service reaching marking, generating a hardware control instruction, sending the hardware control instruction to a power management unit of the data transmission terminal, controlling the power management unit to improve a direct-current voltage reference value applied to a power amplifier power supply end, and restoring the peak clipping control strategy to an initial state after the direct-current voltage reference value is improved, wherein the initial default value of the direct-current voltage reference value is equal to the reference rated voltage.
5. The method for adaptively measuring and controlling a radio frequency channel as set forth in claim 4, wherein said step S42 comprises the sub-steps of: S421, calling a dynamic power supply modulation item in the three-dimensional nonlinear distortion model, and calculating a dynamic saturation input boundary allowed by the linear operation of the power amplifier under the current fluctuation state of the instantaneous power supply voltage signal V; S422, configuring the dynamic saturation input boundary as a time-varying threshold value to the peak clipping control strategy; S423, carrying out point-by-point judgment on the digital baseband input signal X by utilizing the time-varying threshold value, and only carrying out amplitude compression on signal sampling points with amplitude exceeding the dynamic saturation input boundary, thereby maximally retaining the waveform characteristics of the digital baseband input signal X which does not exceed the dynamic saturation input boundary while reducing peak-to-average ratio; S424, recalculating the cross-correlation coefficient of the radio frequency output residual signal and the instantaneous power supply voltage signal V, and if the recalculated cross-correlation coefficient is still larger than the correlation threshold, repeatedly executing S421 to S423 based on the updated fluctuation state of the instantaneous power supply voltage signal V until the cross-correlation coefficient falls below the correlation threshold.
6. The radio frequency channel adaptive measurement and control method according to claim 5, wherein S44 comprises the sub-steps of: S441, determining theoretical saturated output power of the power amplifier at a preset linearity target value based on a static nonlinear term in the three-dimensional nonlinear distortion model; s442, calculating a power back-off value caused by the drop of the instantaneous power supply voltage signal V at present by combining dynamic gain compression prediction output by the three-dimensional nonlinear distortion model, and reversely mapping the power back-off value into a voltage compensation increment by utilizing the voltage sensitivity relation; s443, the voltage compensation increment is added to a current direct-current voltage reference value, and the hardware control command is generated, so that the lifted hardware power supply voltage compensates the linearity loss represented by the dynamic gain compression prediction; S444, resetting the time-varying threshold in the peak clipping control strategy to an initial default value after the power management unit is monitored to execute the hardware control instruction.
7. A computer-readable medium comprising a computer program product, characterized in that it comprises: one or more processors; a memory; One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to perform the radio frequency channel adaptive measurement and control method according to any one of claims 1 to 6.
8. A computer-readable storage medium, wherein said storage medium stores at least one instruction, at least one program, a set of codes, or a set of instructions, said at least one instruction, said at least one program, said set of codes, or said set of instructions being loaded and executed by a processor to implement the radio frequency channel adaptive measurement and control method of any one of claims 1 to 6.

Description

Radio frequency channel self-adaptive measurement and control method and related device Technical Field The present application relates to the field of satellite communications, and in particular, to a radio frequency channel adaptive measurement and control method and related apparatus. Background In modern high-speed data transmission terminals and satellite communication systems, in order to increase the data transmission rate under limited spectrum resources, a communication protocol generally adopts a broadband complex modulation signal with a higher peak-to-average ratio. The linearity of the power amplifier, which serves as the core device of the radio frequency front end, directly determines the signal quality of the communication link. In order to improve energy efficiency while ensuring linearity, digital predistortion techniques are widely used in the industry to cancel nonlinear products at the output of a power amplifier by preprocessing an input signal in the digital baseband domain to generate a distortion component that is opposite to the nonlinear characteristics of the power amplifier. Existing digital predistortion measurement and modeling methods are generally based on an idealized assumption that the power supply of the power amplifier is a constant direct current source or a slow variable that considers the fluctuation of the supply voltage to be negligible with respect to the change of the radio frequency signal. Based on this assumption, the conventional predistortion model mainly builds a two-dimensional mapping relationship between the digital baseband input signal and the radio frequency feedback output signal. However, in a practical high-speed broadband communication scenario, when the instantaneous bandwidth of the modulated signal is wide and the peak power is high, the power amplifier may generate a severe transient current extraction requirement. Due to the limited volume, cost and loop response bandwidth of the power management unit itself, it is often difficult for commercial-grade power supplies to maintain absolute stability of voltage on the timescale of microseconds, thereby creating voltage ripple or sag at the power supply side of the power amplifier that varies rapidly with the signal envelope. Such unexpected supply voltage fluctuations can directly change the static operating point of the power amplifier, resulting in instantaneous drift of its gain and phase characteristics. Under the traditional two-dimensional modeling system, the system cannot sense the dynamic interference introduced by the physical power supply layer, and can only wrongly attribute the dynamic interference to model fitting residual errors or random noise. When the power supply voltage drops, the saturation point of the power amplifier moves downwards, and dynamic gain compression which cannot be predicted by the existing model is generated. At this time, the predistortion parameters obtained by table lookup or polynomial calculation only according to the input signal amplitude will not match the current physical working condition any more, so that the correction performance of the predistortion system is obviously reduced, and the correction performance is represented by deterioration of the adjacent channel power leakage ratio or exceeding of the error vector amplitude. Disclosure of Invention In order to compensate the power-induced distortion by the signal processing means without increasing the cost of expensive hardware, the application provides a radio frequency channel adaptive measurement and control method and a related device. In a first aspect, the present application provides a radio frequency channel adaptive measurement and control method, which adopts the following technical scheme: A radio frequency channel self-adaptive measurement and control method comprises the following steps: S1, synchronously acquiring three time domain signals in the operation process of a data transmission terminal, wherein the three time domain signals comprise a digital baseband input signal X, a radio frequency feedback output signal Y after down-conversion and synchronous processing and an instantaneous power supply voltage signal V of a power amplifier power supply end; S2, constructing a three-dimensional nonlinear distortion model based on the three-way time domain signals, wherein the three-dimensional nonlinear distortion model describes the output of the power amplifier as a joint function of the input signal characteristics and the power supply voltage fluctuation; S3, calculating predistortion compensation parameters which dynamically change along with the instantaneous power supply voltage signal V based on the three-dimensional nonlinear distortion model, and carrying out real-time predistortion processing on the digital baseband input signal X by utilizing the predistortion compensation parameters so as to generate a radio frequency driving signal and transmitting the radio frequency d