Radio frequency signal adjusting method and device, equipment and storage medium

Abstract

The application provides a radio frequency signal adjusting method, device and equipment and a storage medium, the method comprising: collecting signal strength information and interference signal information in a radio frequency link in real time; comparing the signal strength information with a preset signal strength threshold range, and adaptively adjusting the gain of the radio frequency link to maintain the signal amplitude within the signal strength threshold range; identifying the type of interference signal according to the interference signal information, and performing a targeted interference suppression operation according to the identification result; monitoring the power consumption data of each device module in the radio frequency link in real time, and adaptively adjusting the power supply parameters of each device module in combination with the signal strength information and the communication scenario. Through the coordinated adaptive regulation of gain, interference and power consumption, the application can significantly improve the stability of terminal signals and the communication quality, and effectively prolong the endurance time of the equipment.

Description

Technical Field

[0001] This invention relates to the field of radio frequency technology, and in particular to a radio frequency signal conditioning method, apparatus, device, and storage medium. Background Technology

[0002] As mobile communication technology evolves from 5G to 6G, the radio frequency (RF) front-end of terminal devices (such as mobile phones) faces multiple challenges, including a surge in the number of frequency bands, complex signal interference, and stringent power consumption control. Traditional mobile phone RF architectures can no longer meet the performance requirements of next-generation communication. Taking mobile phones as an example, currently, mobile phone RF signal conditioning mainly relies on fixed-gain power amplifiers (PAs), single-structure filters, and simple RF switches, which have the following core defects: 1. Insufficient flexibility in gain adjustment: Most existing RF adjustment devices adopt a fixed gain mode, which cannot make sub-adaptive adjustments according to the strength of external signals (such as weak indoor signals, strong outdoor signals, and signal fluctuations in high-speed mobile scenarios). This leads to communication lag and dropped calls in weak signal scenarios, and power redundancy and excessive power consumption in strong signal scenarios, which violates the evolution requirements of RF front-end beyond Moore's Law for performance and power consumption balance.

[0003] 2. Weak interference suppression capability: 5G and future 6G mobile phones need to support more than 30 communication frequency bands. Intermodulation interference between different frequency bands and external electromagnetic interference (such as WiFi, Bluetooth, and satellite communication signals) can easily intrude into the radio frequency link, resulting in a decrease in signal-to-noise ratio and affecting call quality and data transmission rate. Traditional filters can only filter fixed frequency bands and cannot achieve wide-band, adaptive interference suppression.

[0004] 3. Difficulty in balancing power consumption and performance: The radio frequency front-end is one of the main sources of power consumption in mobile phones. During the signal conditioning process, the existing conditioning devices operate at full load regardless of the signal strength. In particular, when multiple frequency bands are working simultaneously, the power consumption increases sharply, which seriously affects the battery life of mobile phones. At the same time, the efficiency of traditional silicon-based LDMOS and gallium arsenide (GaAs) power amplifiers is low at high frequencies, which further exacerbates the power consumption problem.

[0005] 4. Low integration and poor compatibility: Most existing RF conditioning-related devices are discrete designs, with PAs, filters, RF switches, etc. arranged independently, occupying a lot of space on the mobile phone motherboard, which is not conducive to the design of thin and light mobile phones. At the same time, the conditioning modules of different communication frequency bands (Sub-6G, millimeter wave) are independent of each other, with poor compatibility, and cannot adapt to the needs of multi-frequency band collaborative work, which is contrary to the modular development trend of highly integrated RF front-end.

[0006] To address the aforementioned issues, there is an urgent need for a mobile phone radio frequency signal conditioning device and method that can achieve adaptive gain adjustment, efficient interference suppression, low power consumption control, and has high integration and strong compatibility, in order to adapt to the communication needs of 5G and 6G mobile phones and overcome the shortcomings of existing technologies. Summary of the Invention

[0007] This invention provides a radio frequency signal conditioning method, apparatus, device, and storage medium. The main objective of this invention is to solve the technical problems mentioned in the background section of the prior art.

[0008] The first aspect of this invention provides a radio frequency signal conditioning method, comprising: Real-time acquisition of signal strength and interference signal information in the radio frequency link; Based on the signal strength information, the gain of the radio frequency link is adaptively adjusted by comparing it with a preset signal strength threshold range so that the signal amplitude is maintained within the signal strength threshold range. Based on the interference signal information, the type of interference signal is identified, and targeted interference suppression operations are performed based on the identification results; The power consumption data of each device module in the radio frequency link is monitored in real time, and the power supply parameters of each device module are adaptively adjusted in combination with the signal strength information and communication scenario.

[0009] In an optional embodiment of the first aspect of the present invention, the step of adaptively adjusting the gain of the radio frequency link by comparing the signal strength information with a preset signal strength threshold range includes: The gain of the RF link is adaptively adjusted using a dual-loop parallel gain control mechanism, which includes a feedforward fast adjustment loop for microsecond-level coarse adjustment and a feedback fine adjustment loop for high-precision steady-state control. When the signal strength information is lower than a preset lower threshold, the gain of the RF link is increased through the dual-loop parallel gain control mechanism; When the signal strength information is higher than a preset upper limit threshold, the gain of the RF link is reduced through the dual-loop parallel gain control mechanism.

[0010] In an optional embodiment of the first aspect of the present invention, the step of identifying the type of interference signal based on the interference signal information and performing targeted interference suppression operations based on the identification result includes: The collected interference signal information is subjected to a Fast Fourier Transform to obtain spectral characteristics; The preset lightweight deep learning convolutional neural network model is used to perform real-time inference on the spectral features to distinguish various interference types with similar spectral features, including intermodulation interference, adjacent channel interference, Bluetooth interference, WiFi interference, and PLL spurious emissions.

[0011] In an optional embodiment of the first aspect of the present invention, the step of identifying the type of interference signal based on the interference signal information and performing targeted interference suppression operations based on the identification result further includes: If the interference is identified as intermodulation interference in a frequency band, the wideband filter bank is controlled to adjust the filtering parameters to enhance the filtering capability of intermodulation interference. If external electromagnetic interference is detected, the reverse interference cancellation unit is activated to generate a reverse cancellation signal with the same amplitude but opposite phase as the interference signal, and the reverse cancellation signal is injected into the main radio frequency channel for vector cancellation.

[0012] In an optional embodiment of the first aspect of the present invention, the real-time monitoring of the power consumption data of each device module in the radio frequency link, and the adaptive adjustment of the power supply parameters of each device module in conjunction with the signal strength information and the communication scenario, includes: By using a reinforcement learning decision network, multi-dimensional state information, including signal strength, interference level, operating frequency band, communication rate, and temperature, can be perceived in real time. Based on the multidimensional state information, the system autonomously learns and decides on the optimal drain voltage, gain, bias, and module sleep strategy to achieve the optimal balance between power consumption and performance in complex scenarios with multiple concurrent tasks.

[0013] In an optional embodiment of the first aspect of the present invention, the real-time monitoring of the power consumption data of each device module in the radio frequency link, and the adaptive adjustment of the power supply parameters of each device module in conjunction with the signal strength information and the communication scenario, includes: In weak signal scenarios, selectively increase the power supply of the low-noise amplifier to ensure receiver sensitivity; In strong signal scenarios, reduce the power supply power of the power amplifier to reduce power redundancy; When communication is idle, non-essential units in the control radio frequency receiving and transmitting module enter sleep mode.

[0014] In an optional embodiment of the first aspect of the present invention, the radio frequency signal conditioning method further includes: A mobile scenario prediction model is established by collecting data on the terminal's moving speed, channel change rate, and signal fading trend. Based on the mobile scenario prediction model, the signal strength changes within the future time window are predicted, and the gain, filter status, or power supply parameters of the RF link are pre-compensated and adjusted in advance to eliminate adjustment lag in high-speed mobile scenarios.

[0015] A second aspect of the present invention provides a radio frequency signal conditioning device, the radio frequency signal conditioning device comprising: The information acquisition module is used to collect signal strength information and interference signal information in the radio frequency link in real time; The gain adjustment module is used to adaptively adjust the gain of the radio frequency link based on the signal strength information and a preset signal strength threshold range, so that the signal amplitude is maintained within the signal strength threshold range. The interference suppression module is used to identify the type of interference signal based on the interference signal information, and to perform targeted interference suppression operations based on the identification result; The power consumption adjustment module is used to monitor the power consumption data of each device module in the radio frequency link in real time, and adaptively adjust the power supply parameters of each device module in combination with the signal strength information and communication scenario.

[0016] A third aspect of the present invention provides a radio frequency signal conditioning device, the radio frequency signal conditioning device comprising: a memory and at least one processor, the memory storing instructions, and the memory and the at least one processor being interconnected via a line; The at least one processor invokes the instructions in the memory to cause the radio frequency signal conditioning device to perform the radio frequency signal conditioning method as described in any one of the first aspects of the present invention.

[0017] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the radio frequency signal modulation method as described in any one of the first aspects of the present invention.

[0018] Beneficial Effects: This invention provides a radio frequency (RF) signal conditioning method, apparatus, device, and storage medium. The method includes: real-time acquisition of signal strength information and interference signal information in an RF link; adaptively adjusting the gain of the RF link based on the signal strength information and comparing it with a preset signal strength threshold range to maintain the signal amplitude within the threshold range; identifying the type of interference signal based on the interference signal information and performing targeted interference suppression operations based on the identification result; and real-time monitoring of the power consumption data of each device module in the RF link and adaptively adjusting the power supply parameters of each device module in conjunction with the signal strength information and the communication scenario. This invention, through the coordinated adaptive regulation of gain, interference, and power consumption, can significantly improve the stability and communication quality of terminal signals and effectively extend the device's battery life. Attached Figure Description

[0019] Figure 1This is a schematic diagram of an embodiment of a radio frequency signal conditioning method according to the present invention; Figure 2 This is a schematic diagram of an embodiment of a radio frequency signal conditioning device according to the present invention; Figure 3 This is a schematic diagram of an embodiment of a radio frequency signal conditioning device according to the present invention. Detailed Implementation

[0020] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0021] The first aspect of this invention provides a radio frequency signal modulation method, which can be applied to terminal devices such as mobile phones. See [link to relevant documentation]. Figure 1 The radio frequency signal conditioning method includes: S100. Real-time acquisition of signal strength and interference signal information in the RF link. Before the present invention performs information acquisition, the device needs to be initialized. Specifically, after the device starts up, it will perform self-tests and initialization on each internal module, preset some key operating parameters, such as setting the ideal range threshold of signal strength to 0.5Vpp to 2Vpp, setting the lower limit threshold of the useful signal signal-to-noise ratio (SNR) to 25dB, setting a medium-level default gain value, such as 15dB, for the power amplifier (PA) and low-noise amplifier (LNA), and setting the reference power consumption parameters for each device module.

[0022] After the device is initialized, the terminal's radio frequency receiving module will continuously receive external radio frequency signals. The signal coupler extracts signal strength information from the main radio frequency link and transmits it to the terminal's main control. At the same time, the radio frequency probe for interference detection will perform a broadband scan of the radio frequency link to collect potential interference signal information. The collected interference signal information will be sent to the interference type identification unit for analysis to determine the frequency band, intensity, and type (e.g., whether it is frequency band intermodulation interference or external electromagnetic interference).

[0023] S200. Based on the signal strength information, compare it with a preset signal strength threshold range, and adaptively adjust the gain of the RF link to maintain the signal amplitude within the signal strength threshold range. In this invention, this step may include: adaptively adjusting the gain of the RF link using a dual-loop parallel gain control mechanism, wherein the dual-loop parallel gain control mechanism includes a feedforward fast adjustment loop for microsecond-level coarse adjustment and a feedback fine adjustment loop for high-precision steady-state control; when the signal strength information is lower than a preset lower threshold, increase the gain of the RF link through the dual-loop parallel gain control mechanism; when the signal strength information is higher than a preset upper threshold, decrease the gain of the RF link through the dual-loop parallel gain control mechanism.

[0024] Specifically, to address the gain oscillation, overshoot, and lag issues that may arise from single-loop regulation, this invention employs a dual-loop parallel gain control mechanism: For the feedforward fast adjustment loop, this loop mainly detects the slope of the signal strength change by differentiating the envelope of the input signal. When a drastic change in signal strength is detected (large absolute value of the slope), this loop can quickly coarsely adjust the gate bias voltage (Vgs) of the amplifier in microseconds (≤2μs) to play a predictive and pre-compensation role. For the feedback fine-tuning loop, this loop mainly performs mean filtering on the signal envelope to obtain a stable mean signal strength. This mean is compared with a preset threshold, and the amplifier's drain voltage (Vds) is fine-tuned through high-precision feedback to eliminate steady-state error and ensure that the gain adjustment accuracy is within 0.1dB without overshoot. This invention utilizes the collaborative operation of two loops, with the fast loop responding to sudden changes and the slow loop ensuring steady state, together achieving fast, accurate and stable gain adjustment.

[0025] For example, a specific adjustment scenario of the present invention can be as follows: The terminal compares the acquired real-time signal strength with a preset threshold range of 0.5-2Vpp and adaptively executes a gain adjustment command: If the signal strength is lower than 0.5Vpp (weak signal scenario), the terminal master control instructs the low noise amplifier (LNA) to increase the gain based on a dual-loop parallel gain control mechanism (e.g., from 15dB to 30dB), and at the same time instructs the power amplifier (PA) to also appropriately increase the transmit gain to compensate for signal attenuation and ensure the stability of the communication link; If the signal strength is higher than 2Vpp (strong signal scenario), the terminal master control instructs the low noise amplifier (LNA) to decrease the gain based on a dual-loop parallel gain control mechanism (e.g., from 15dB to 0dB), and at the same time instructs the power amplifier (PA) to also decrease the transmit gain to avoid signal saturation distortion and reduce unnecessary power consumption.

[0026] S300. Based on the interference signal information, identify the type of interference signal and perform targeted interference suppression operations based on the identification result. In an optional embodiment of the first aspect of the present invention, identifying the type of interference signal based on the interference signal information and performing targeted interference suppression operations based on the identification result includes: performing a fast Fourier transform on the acquired interference signal information to obtain spectral features; and using a preset lightweight deep learning convolutional neural network model to perform real-time inference on the spectral features to distinguish interference types with similar spectral features, including intermodulation interference, adjacent channel interference, Bluetooth interference, WiFi interference, and PLL spurious emissions.

[0027] Specifically, traditional Fast Fourier Transform (FFT) spectrum analysis struggles to distinguish interference with similar spectral characteristics. This invention addresses this by embedding a dedicated AI computing core within the interference type identification unit, and configuring a pre-trained 18-layer lightweight convolutional neural network (CNN) model on this core. In this invention, after interference detection acquires a signal, it first performs an FFT transformation. The resulting spectrum is then fed into the pre-trained 18-layer lightweight CNN model. This neural network model learns and infers from the spectrum's morphology, peak values, sidelobes, and other features, accurately (with an accuracy rate ≥98%) outputting specific interference labels (e.g., "LTE B3 uplink interference" and "WiFi adjacent channel leakage"), thus providing a precise basis for the terminal controller to select the most effective suppression method.

[0028] In an optional embodiment of the first aspect of the present invention, the step of identifying the type of interference signal based on the interference signal information and performing targeted interference suppression operations based on the identification result further includes: if the interference is identified as frequency band intermodulation interference, controlling the wideband filter bank to adjust the filtering parameters to enhance the filtering capability of intermodulation interference; if the interference is identified as external electromagnetic interference, activating the reverse interference cancellation unit to generate a reverse cancellation signal with the same amplitude and opposite phase as the interference signal, and injecting the reverse cancellation signal into the main radio frequency channel for vector cancellation.

[0029] Specifically, in this invention, if frequency band intermodulation interference is identified, the terminal main controller will control the wideband filter bank to switch to a filter channel with a higher suppression ratio for the intermodulation frequency band or fine-tune its filter parameters; if external electromagnetic interference is identified, the terminal main controller will activate the interference suppression unit and perform reverse interference cancellation operation.

[0030] More specifically, when external electromagnetic interference is detected, the specific workflow of the reverse interference cancellation unit can be as follows: First, the terminal accurately samples a small portion of the mixed signal containing the useful signal and the interference signal through a directional coupler set on the main radio frequency channel. Then, the mixed signal is sent to a reverse interference generation circuit based on an I / Q vector modulator. This reverse interference generation circuit obtains the amplitude and phase information of the interference signal in real time through an amplitude and phase detection unit. Then, the I / Q vector modulator generates a copy signal (i.e., the reverse cancellation signal) with the same amplitude and precisely opposite phase (180° out of phase) as the original interference signal based on the detected information. The generated reverse cancellation signal is then injected back into the main radio frequency channel through another hybrid coupler. In this main channel, the original interference signal and the reverse cancellation signal meet and undergo vector subtraction to cancel each other out, leaving only the pure useful signal. This technology of the present invention can achieve an interference cancellation depth of at least ≥25dB.

[0031] S400: Real-time monitoring of power consumption data of each device module in the RF link, combined with signal strength information and communication scenario, adaptively adjusting the power supply parameters of each device module. In this invention, the power consumption detection unit of power consumption control monitors the operating current and voltage of each module (such as PA, LNA, MCU, etc.) in real time, and reports the calculated real-time power consumption data to the terminal master controller. The terminal master controller adjusts the power supply parameters of each device module according to the current signal scenario (strong signal, weak signal, or idle) and power consumption data through the power supply adjustment unit (e.g., DC-DC step-down chip) to achieve global power consumption optimization.

[0032] In an optional embodiment of the first aspect of the present invention, the real-time monitoring of power consumption data of each device module in the radio frequency link, combined with the signal strength information and communication scenario, and adaptively adjusting the power supply parameters of each device module includes: using a reinforcement learning decision network to perceive multi-dimensional state information including signal strength, interference level, operating frequency band, communication rate and temperature in real time; based on the multi-dimensional state information, autonomously learning and deciding to output the optimal drain voltage, gain, bias and module sleep strategy, so as to achieve the optimal balance between power consumption and performance in complex scenarios with multiple concurrent tasks.

[0033] Specifically, in this invention, to address the complex power consumption challenges under multi-task concurrency (such as 5G high-speed download + Bluetooth call + WiFi hotspot), power consumption control can also utilize a dynamic power management algorithm based on reinforcement learning (RL) (e.g., deployed in the main control unit of the terminal through an RL agent). The state space of this RL agent can be configured to include signal strength, interference level, data rate, PA temperature, and current task combination, etc. The action space of this RL agent can be configured to include adjusting PA drain voltage, setting LNA bias current, and determining module sleep strategy, etc. Then, by configuring a preset reward function (rewarding high performance, low power consumption, and low temperature), this RL agent can learn autonomously through continuous interaction with the environment, ultimately achieving the output of a globally optimal power management strategy for any complex real-time operating condition. Compared with traditional lookup table management, the power consumption of the above-mentioned power management method of this invention can be reduced by at least 12%-18%.

[0034] In an optional embodiment of the first aspect of the present invention, the real-time monitoring of power consumption data of each device module in the radio frequency link, combined with the signal strength information and communication scenario, and adaptively adjusting the power supply parameters of each device module includes: in a weak signal scenario, selectively increasing the power supply power of the low noise amplifier to ensure receiving sensitivity; in a strong signal scenario, reducing the power supply power of the power amplifier to reduce power redundancy; and in a communication idle state, controlling non-essential units in the radio frequency receiving and transmitting modules to enter a sleep mode.

[0035] Specifically, during power consumption regulation, the terminal controller uses the DC-DC step-down chip (with an adjustment range of, for example, 0.8-3.3V) within the power supply regulation unit to achieve fine-grained control of the power supply to each device module. For instance, in weak signal scenarios, to ensure that the low-noise amplifier (LNA) has sufficient quiescent current to maintain high gain and low noise figure, the terminal controller instructs the DC-DC chip to provide a higher supply voltage (e.g., 3.3V) to the LNA. In strong signal scenarios, the power amplifier (PA) does not need to operate at full power, so the terminal controller instructs the DC-DC chip to reduce the supply voltage of the power amplifier (PA) (e.g., from 3.3V to 1.8V). This significantly reduces the quiescent power consumption of the power amplifier (PA) and reduces heat generation. When the terminal is in an idle communication state (e.g., standby under WiFi connection), the terminal controller instructs the DC-DC chip to shut down most units on the RF path, such as the power amplifier (PA) and the noise amplifier (LNA), leaving only the core detection unit to operate in low-power mode, thereby maximizing the reduction of standby power consumption.

[0036] In an optional embodiment of the first aspect of the present invention, the radio frequency signal conditioning method further includes: establishing a mobile scenario prediction model by collecting data on the terminal's moving speed, channel change rate, and signal fading trend; predicting signal strength changes within a future time window based on the mobile scenario prediction model, and pre-compensating and adjusting the gain, filter status, or power supply parameters of the radio frequency link in advance to eliminate conditioning lag in high-speed mobile scenarios.

[0037] Specifically, to better handle high-speed mobile scenarios (such as high-speed rail scenarios), the terminal main control of this invention integrates speed information provided by GPS, base station switching frequency information, and historical change rate of signal strength. For example, a Kalman filter or similar prediction model can be used to predict the signal fading trend within the next 10-50ms. Assuming that the model predicts that the signal will enter deep fading after 20ms, the terminal main control will issue an instruction in advance to increase the LNA gain or prepare to switch to a better filter channel, thereby changing passive adjustment to active adjustment and ensuring the continuity of communication.

[0038] In summary, compared with the prior art, the present invention can bring at least the following beneficial effects: 1. High flexibility in gain adjustment, adaptable to complex communication scenarios: This invention achieves continuous gain adjustment (0-30dB) of RF signal through an adaptive adjustment module, which can adaptively adjust according to the external signal strength, solving the problems of weak signal stuttering and strong signal power consumption redundancy caused by the fixed gain of traditional devices. Tests show that in weak signal scenarios, signal reception sensitivity is improved by more than 30%, and power consumption is reduced by 22%-30% in strong signal scenarios, significantly improving the communication stability of mobile phones in different scenarios.

[0039] 2. Strong interference suppression capability, improving communication quality: Interference detection can accurately identify various interference signals (identification accuracy ≥95%). Combined with wideband filter banks and reverse interference cancellation technology, it can accurately suppress multi-band and multi-type interference, ensuring that the signal-to-noise ratio of useful signals is ≥25dB. It effectively solves the problems of multi-band intermodulation interference and external electromagnetic interference, and improves call quality and data transmission rate by more than 25%.

[0040] 3. Precise power consumption control, extending phone battery life: Power consumption control monitors the power consumption of each module in real time and adaptively adjusts power supply parameters. Combined with sleep mode control, it achieves low-power operation of the RF link. Compared with traditional mobile phone RF regulation solutions, the overall power consumption is reduced by 22%-30%, which can extend the phone battery life by 1.5-2 hours, solving the industry pain point of excessive power consumption in the RF front end.

[0041] 4. High integration and strong compatibility: For example, by adopting 3D heterogeneous packaging technology, core components such as filter banks and power amplifiers can be integrated into the design, reducing the motherboard area by more than 35% and adapting to the demand for thinner and lighter mobile phones; at the same time, the wide-band filter bank achieves full-band coverage of 30-6000MHz, which can adapt to the multi-band communication needs of 5G and 6G, with strong compatibility, which is in line with the trend of integration evolution of RF front-end "beyond Moore's Law".

[0042] 5. Simple structure and easy to implement: Each module of this invention adopts mature radio frequency devices and control algorithms, with reasonable structural design and high integration. It does not require complex hardware modification, is easy to mass-produce, has controllable cost, and has high practicality and industrialization value.

[0043] See Figure 2 A second aspect of the present invention provides a radio frequency signal conditioning device, the radio frequency signal conditioning device comprising: Information acquisition module 10 is used to acquire signal strength information and interference signal information in the radio frequency link in real time; The gain adjustment module 20 is used to adaptively adjust the gain of the radio frequency link based on the signal strength information and a preset signal strength threshold range, so that the signal amplitude is maintained within the signal strength threshold range. The interference suppression module 30 is used to identify the type of interference signal based on the interference signal information, and to perform targeted interference suppression operations based on the identification result; The power consumption adjustment module 40 is used to monitor the power consumption data of each device module in the radio frequency link in real time, and adaptively adjust the power supply parameters of each device module in combination with the signal strength information and communication scenario.

[0044] In an optional embodiment of the second aspect of the present invention, the gain adjustment module includes: A parallel adjustment unit is used to adaptively adjust the gain of the RF link using a dual-loop parallel gain control mechanism, which includes a feedforward fast adjustment loop for microsecond-level coarse adjustment and a feedback fine adjustment loop for high-precision steady-state control. A gain enhancement unit is used to increase the gain of the radio frequency link through the dual-loop parallel gain control mechanism when the signal strength information is lower than a preset lower threshold. The gain reduction unit is used to reduce the gain of the radio frequency link through the dual-loop parallel gain control mechanism when the signal strength information is higher than a preset upper limit threshold.

[0045] In an optional embodiment of the second aspect of the present invention, the interference suppression module includes: The spectrum extraction unit is used to perform a fast Fourier transform on the acquired interference signal information to obtain spectral features; The interference classification unit is used to perform real-time reasoning on the spectral features using a preset lightweight deep learning convolutional neural network model to distinguish interference types with similar spectral features, including intermodulation interference, adjacent channel interference, Bluetooth interference, WiFi interference, and PLL spurious emissions.

[0046] In an optional embodiment of the second aspect of the present invention, the interference suppression module further includes: An intermodulation interference filtering unit is used to control the wideband filter bank to adjust the filtering parameters to enhance the filtering capability of intermodulation interference if it is identified as frequency band intermodulation interference. An electromagnetic interference cancellation unit is used to activate a reverse interference cancellation unit if external electromagnetic interference is detected, generate a reverse cancellation signal with the same amplitude and opposite phase as the interference signal, and inject the reverse cancellation signal into the main radio frequency channel for vector cancellation.

[0047] In an optional embodiment of the second aspect of the present invention, the power consumption adjustment module includes: The information sensing unit is used to sense multi-dimensional state information, including signal strength, interference level, operating frequency band, communication rate and temperature, in real time through a reinforcement learning decision network. The concurrent adjustment unit is used to autonomously learn and decide on the optimal drain voltage, gain, bias and module sleep strategy based on the multi-dimensional state information, so as to achieve the optimal balance between power consumption and performance in complex scenarios with multiple concurrent tasks.

[0048] In an optional embodiment of the second aspect of the present invention, the power consumption adjustment module includes: In weak signal scenarios, selectively increase the power supply of the low-noise amplifier to ensure receiver sensitivity; The amplifier adjustment unit is used to reduce the power supply power of the power amplifier in strong signal scenarios to reduce power redundancy; The radio frequency conditioning unit controls non-essential units in the radio frequency receiving and transmitting modules to enter sleep mode when communication is idle.

[0049] In an optional embodiment of the first aspect of the present invention, the radio frequency signal conditioning device further includes a prediction compensation module, the prediction compensation module comprising: The model building unit is used to build a mobile scenario prediction model by collecting data on the terminal's moving speed, channel change rate, and signal fading trend. The pre-adjustment unit is used to predict the signal strength changes within a future time window based on the mobile scenario prediction model, and to pre-compensate and adjust the gain, filter status, or power supply parameters of the RF link in advance to eliminate adjustment lag in high-speed mobile scenarios.

[0050] Figure 3 This is a schematic diagram of a radio frequency (RF) signal conditioning device according to an embodiment of the present invention. The RF signal conditioning device can vary significantly due to different configurations or performance characteristics. It may include one or more processors 60 (central processing units, CPUs) (e.g., one or more processors) and a memory 70, and one or more storage media 80 (e.g., one or more mass storage devices) for storing application programs or data. The memory and storage media can be short-term or long-term storage. The program stored in the storage media may include one or more modules (not shown in the diagram), each module including a series of instruction operations on the RF signal conditioning device. Furthermore, the processor may be configured to communicate with the storage media and execute the series of instruction operations stored in the storage media on the RF signal conditioning device.

[0051] The radio frequency signal conditioning device of the present invention may further include one or more power supplies 90, one or more wired or wireless network interfaces 100, one or more input / output interfaces 110, and / or one or more operating systems, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that... Figure 3 The illustrated radio frequency signal conditioning device structure does not constitute a limitation on the radio frequency signal conditioning device, and may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0052] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the steps of the radio frequency signal conditioning method.

[0053] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system or system / unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0054] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0055] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A radio frequency signal conditioning method, characterized in that, include: Real-time acquisition of signal strength and interference signal information in the radio frequency link; Based on the signal strength information, the gain of the radio frequency link is adaptively adjusted by comparing it with a preset signal strength threshold range so that the signal amplitude is maintained within the signal strength threshold range. Based on the interference signal information, the type of interference signal is identified, and targeted interference suppression operations are performed based on the identification results; The power consumption data of each device module in the radio frequency link is monitored in real time, and the power supply parameters of each device module are adaptively adjusted in combination with the signal strength information and communication scenario.

2. The radio frequency signal conditioning method according to claim 1, characterized in that, The step of adaptively adjusting the gain of the radio frequency link by comparing the signal strength information with a preset signal strength threshold range includes: The gain of the RF link is adaptively adjusted using a dual-loop parallel gain control mechanism, which includes a feedforward fast adjustment loop for microsecond-level coarse adjustment and a feedback fine adjustment loop for high-precision steady-state control. When the signal strength information is lower than a preset lower threshold, the gain of the RF link is increased through the dual-loop parallel gain control mechanism; When the signal strength information is higher than a preset upper limit threshold, the gain of the RF link is reduced through the dual-loop parallel gain control mechanism.

3. The radio frequency signal conditioning method according to claim 1, characterized in that, The step of identifying the type of interference signal based on the interference signal information and performing targeted interference suppression operations based on the identification result includes: The collected interference signal information is subjected to a Fast Fourier Transform to obtain spectral characteristics; The preset lightweight deep learning convolutional neural network model is used to perform real-time inference on the spectral features to distinguish various interference types with similar spectral features, including intermodulation interference, adjacent channel interference, Bluetooth interference, WiFi interference, and PLL spurious emissions.

4. The radio frequency signal conditioning method according to claim 3, characterized in that, The step of identifying the type of interference signal based on the interference signal information and performing targeted interference suppression operations based on the identification result further includes: If the interference is identified as intermodulation interference in a frequency band, the wideband filter bank is controlled to adjust the filtering parameters to enhance the filtering capability of intermodulation interference. If external electromagnetic interference is detected, the reverse interference cancellation unit is activated to generate a reverse cancellation signal with the same amplitude but opposite phase as the interference signal, and the reverse cancellation signal is injected into the main radio frequency channel for vector cancellation.

5. The radio frequency signal conditioning method according to claim 1, characterized in that, The real-time monitoring of power consumption data of each device module in the RF link, combined with the signal strength information and communication scenario, and adaptively adjusting the power supply parameters of each device module includes: By using a reinforcement learning decision network, multi-dimensional state information, including signal strength, interference level, operating frequency band, communication rate, and temperature, can be perceived in real time. Based on the multidimensional state information, the system autonomously learns and decides on the optimal drain voltage, gain, bias, and module sleep strategy to achieve the optimal balance between power consumption and performance in complex scenarios with multiple concurrent tasks.

6. The radio frequency signal conditioning method according to claim 5, characterized in that, The real-time monitoring of power consumption data of each device module in the RF link, combined with the signal strength information and communication scenario, and adaptively adjusting the power supply parameters of each device module includes: In weak signal scenarios, selectively increase the power supply of the low-noise amplifier to ensure receiver sensitivity; In strong signal scenarios, reduce the power supply power of the power amplifier to reduce power redundancy; When communication is idle, non-essential units in the control radio frequency receiving and transmitting module enter sleep mode.

7. The radio frequency signal conditioning method according to claim 1, characterized in that, The radio frequency signal conditioning method further includes: A mobile scenario prediction model is established by collecting data on the terminal's moving speed, channel change rate, and signal fading trend. Based on the mobile scenario prediction model, the signal strength changes within the future time window are predicted, and the gain, filter status, or power supply parameters of the RF link are pre-compensated and adjusted in advance to eliminate adjustment lag in high-speed mobile scenarios.

8. A radio frequency signal conditioning device, characterized in that, The radio frequency signal conditioning device includes: The information acquisition module is used to collect signal strength information and interference signal information in the radio frequency link in real time; The gain adjustment module is used to adaptively adjust the gain of the radio frequency link based on the signal strength information and a preset signal strength threshold range, so that the signal amplitude is maintained within the signal strength threshold range. The interference suppression module is used to identify the type of interference signal based on the interference signal information, and to perform targeted interference suppression operations based on the identification result; The power consumption adjustment module is used to monitor the power consumption data of each device module in the radio frequency link in real time, and adaptively adjust the power supply parameters of each device module in combination with the signal strength information and communication scenario.

9. A radio frequency signal conditioning device, characterized in that, The radio frequency signal conditioning device includes: a memory and at least one processor, wherein the memory stores instructions, and the memory and the at least one processor are interconnected via a line; The at least one processor invokes the instructions in the memory to cause the radio frequency signal conditioning device to perform the radio frequency signal conditioning method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by the processor, it implements the radio frequency signal conditioning method as described in any one of claims 1-7.

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