Selection radio frequency circuit with varactor tuning band-pass switch band-pass filter

Abstract

The invention provides a selection radio frequency circuit of a band-pass filter with a varactor tuning band-pass switch, and relates to the technical field of selection radio frequency circuits. Comprising a frequency band selection module, a varactor tuning module and a band-pass filter module. The varactor tuning module realizes continuous tuning of the initial radio frequency signal frequency by constructing an adaptive frequency tuning model based on a recurrent neural network. The band-pass filter module adaptively adjusts the bandwidth and the center frequency of a band-pass filter by constructing a support vector machine prediction model. According to the method, the self-adaptive frequency tuning model is constructed, so that the change of the frequency of the input signal can be tracked in real time, the tuning radio-frequency signal is always in an optimal state, the self-adaptive capability is higher, and the method can better adapt to a complex working environment. By constructing the support vector machine prediction model, parameter setting of the filter can be dynamically optimized according to the actual situation of the input signal, it is ensured that the filtering result always meets the performance requirement of the system, and higher adaptability and flexibility are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of selective radio frequency circuits, and particularly to a selective radio frequency circuit having a varactor-tuned bandpass switched bandpass filter. Background Art

[0002] In modern communication systems, radio frequency circuits are an essential and important component. Their main functions include signal frequency conversion, signal amplification, signal filtering, etc. Traditional radio frequency bandpass filters are usually implemented using fixed LC resonance circuits. However, with the continuous development of communication technologies, users have increasingly higher requirements for the performance of radio frequency circuits, and a single LC filter has become difficult to meet the increasingly complex application requirements. For this reason, researchers have proposed using tunable bandpass filters to achieve more flexible and high-performance radio frequency circuits. Among them, a common tunable bandpass filter solution is to use a varactor to achieve frequency band tunability. A varactor is a voltage-controlled variable capacitance element, and by changing the reverse bias voltage, continuous adjustment of the capacitance value can be achieved. Connecting a varactor in parallel with an LC resonance circuit can obtain a tunable bandpass filter. This filter not only has a high Q value and excellent frequency selectivity, but also can dynamically adjust its center frequency by adjusting the bias voltage, so as to adapt to different application scenarios. To further improve the performance and flexibility of radio frequency circuits, researchers have also proposed a design solution that integrates a switching circuit based on a tunable bandpass filter. This design uses PIN diodes or MOSFETs as switching elements, and through the on and off states of the switches, fast switching control of the filter frequency band can be achieved. Through this switching control, selective access to signals in different frequency bands can be realized, thereby avoiding the problems of increased loss and volume caused by the parallel connection of multiple fixed-frequency band filters. Generally speaking, a radio frequency bandpass filter with varactor tuning and switching control functions can achieve dynamic adjustment of the center frequency and passband while maintaining excellent filtering performance. This flexible design solution provides a more suitable radio frequency front-end solution for complex modern communication systems, and is of great significance for improving the spectrum utilization rate and anti-interference ability of the system.

[0003] In a selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter, the variable reactor tuning mechanism mostly adopts a method based on a preset model or a look-up table, making it difficult to achieve real-time tracking and adaptive tuning of the input signal frequency change. This static tuning method cannot quickly respond to the dynamic change of the input signal frequency in a complex environment and it is difficult to ensure that the tuned radio frequency signal is always in an optimal state. Lacking the ability to learn and model the frequency characteristics of the input signal, it is impossible to adaptively adjust the variable reactor capacitance and difficult to fully utilize the potential of the variable reactor. The adjustment of the bandwidth and center frequency of the bandpass filter is restricted to a certain extent and cannot meet complex filtering requirements. There are delays and instability problems in the real-time adjustment of the filter parameters and it is difficult to keep up with the rapid change of the input signal frequency. Summary of the Invention

[0004] The present invention provides a selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter to solve the defects in the prior art that it is difficult to achieve real-time tracking and adaptive tuning of the input signal frequency change, there are delays and instability problems in the real-time adjustment of the filter parameters, and it is difficult to keep up with the rapid change of the input signal frequency.

[0005] The present invention provides a selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter, which is used to select a frequency band of an input signal transmitted by a front-end circuit, perform frequency tuning and filtering processing, and then output it to a rear-end circuit, including: A signal input module, which is used to receive a radio frequency signal transmitted by the front-end circuit and perform filtering processing on the radio frequency signal to obtain an input signal; A frequency band selection module, which is used to select the input signal within a target frequency band as an initial radio frequency signal; A variable reactor tuning module, which includes a capacitance value calculation unit and a radio frequency signal tuning unit. The capacitance value calculation unit is used to construct an adaptive tuning model based on a recurrent neural network, input the frequency characteristic data of the initial radio frequency signal into the adaptive tuning model, and output a target capacitance value of the variable reactor; the radio frequency signal tuning unit is used to continuously tune the frequency of the initial radio frequency signal according to the target capacitance value to obtain a tuned radio frequency signal; A bandpass filter module, which is used to convert the tuned radio frequency signal into an output radio frequency signal; A signal output module, which is used to enhance the output radio frequency signal and then output it to the rear-end circuit.

[0006] By adopting an adaptive frequency tuning model based on a recurrent neural network, the varactor capacitance can be continuously adjusted, enabling real-time tracking of the changes in the input signal frequency, ensuring that the tuned RF signal is always in an optimal state, with stronger adaptability and response speed, and can better adapt to complex and changing working environments. By adopting a support vector machine prediction model, the bandwidth and center frequency of the band-pass filter can be adjusted in real time, and the parameter settings of the filter can be dynamically optimized according to the actual situation of the input signal, ensuring that the filtering result always meets the system performance requirements, with stronger adaptability and flexibility.

[0007] According to the selective RF circuit with a varactor-tuned band-pass switched band-pass filter provided by the present invention, the filtering process includes low-pass filtering and high-pass filtering. The low-pass filtering is used to remove RF signals with signal frequencies lower than the preset frequency band; the high-pass filtering is used to remove RF signals with signal frequencies higher than the preset frequency band.

[0008] According to the selective RF circuit with a varactor-tuned band-pass switched band-pass filter provided by the present invention, the frequency band selection module includes a frequency band analysis unit and a frequency band selection unit. The frequency band analysis unit is used to analyze the spectral characteristics of the input signal; the frequency band selection unit is used to use the input signal within the target frequency band range as the initial RF signal according to the spectral characteristics.

[0009] According to the selective RF circuit with a varactor-tuned band-pass switched band-pass filter provided by the present invention, the process of the capacitance value calculation unit constructing the adaptive tuning model includes: Collecting RF signal frequency data and corresponding varactor capacitance value data as a sample set for training the tuning model; Extracting the frequency characteristic data of the RF signal frequency data corresponding to each group of varactor capacitance value data. The RF signal frequency data includes the frequency, amplitude, and phase parameters of the RF signal; Using a recurrent neural network to construct an adaptive tuning model, inputting the frequency characteristic data into the adaptive tuning model, and outputting the target capacitance value of the varactor; Using the sample set to train the adaptive tuning model through the backpropagation algorithm, and adopting regularization techniques to improve the generalization ability of the model and reduce the risk of overfitting.

[0010] According to the selective RF circuit with a varactor-tuned band-pass switched band-pass filter provided by the present invention, the continuous tuning of the initial RF signal frequency by the RF signal tuning unit includes: Real-time monitoring of the initial RF signal and extracting the frequency characteristic data; Inputting the frequency characteristic data into the tuning model; Outputting the target capacitance value of the varactor corresponding to the initial RF signal; According to the target capacitance value, the capacitance value of the variable reactor is adjusted in real time to achieve continuous tuning of the initial radio frequency signal frequency and obtain a tuned radio frequency signal.

[0011] According to the selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter provided by the present invention, the bandpass filter module includes a filter parameter prediction unit. The filter parameter prediction unit is used to construct a prediction model based on a support vector machine, input the frequency data of the tuned radio frequency signal, and obtain the optimal filter state parameters corresponding to the tuned radio frequency signal. The filter state parameters include the bandwidth and center frequency of the filter.

[0012] According to the selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter provided by the present invention, the construction process of the prediction model includes: Collect the frequency data of the tuned radio frequency signal and the filter state parameters, and perform feature extraction on the radio frequency signal frequency data and the filter state parameters to obtain input feature data; Label the input feature data together with the corresponding filter state parameters to form a training sample set, and divide it into a prediction model training set and a prediction model validation set; Select a linear kernel as the kernel function of the prediction model and adjust the hyperparameters of the prediction model through grid search; Use the data of the prediction model training set to train the prediction model; Use the data of the prediction model validation set to evaluate the performance of the trained prediction model; According to the evaluation results, optimize the data preprocessing, kernel function selection, and hyperparameter adjustment; Deploy the prediction model whose evaluation results reach the preset target to the filter parameter prediction unit.

[0013] According to the selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter provided by the present invention, the bandpass filter module further includes a filter driving unit. The filter driving unit is used to adjust the capacitance value of the bandpass filter according to the optimal filter state parameters output by the prediction model to achieve dynamic adjustment of the filter state parameters.

[0014] According to the selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter provided by the present invention, the bandpass filter module further includes a bandpass filtering processing unit. The bandpass filtering processing unit is used to perform bandpass filtering processing on the tuned radio frequency signal through the bandpass filter with the state parameters adjusted to obtain an output radio frequency signal.

[0015] The selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter provided by the present invention, signal enhancement includes amplitude adjustment and waveform shaping. Amplitude adjustment means adjusting and controlling the amplitude of the radio frequency signal through a variable gain amplifier or an adjustable attenuator to meet the required output power requirements; waveform shaping means optimizing and shaping the waveform of the output radio frequency signal.

[0016] The selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter provided by the present invention can continuously adjust the variable reactor capacitance to achieve intelligent tuning of the initial radio frequency signal frequency by adopting an adaptive frequency tuning model based on a recurrent neural network. This adaptive tuning mechanism can track the change of the input signal frequency in real time, ensure that the tuned radio frequency signal is always in the optimal state, has stronger adaptability and response speed, and can better adapt to the complex and changeable working environment.

[0017] By adopting a support vector machine prediction model, the bandwidth and center frequency of the bandpass filter can be adjusted in real time to effectively perform bandpass filtering on the tuned radio frequency signal. This adaptive filtering mechanism can dynamically optimize the parameter settings of the filter according to the actual situation of the input signal, ensure that the filtering result always meets the system performance requirements, and has stronger adaptability and flexibility.

[0018] Through close integration and collaborative work, a highly intelligent selective radio frequency circuit is formed, which has basic functions such as frequency band selection, frequency tuning and bandpass filtering, and also integrates an advanced adaptive mechanism, can optimize key parameters in real time, greatly improve the flexibility and robustness of the system, and provides a more adaptable and intelligent radio frequency solution. Brief Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.

[0020] Figure 1 It is a schematic structural diagram of the selective radio frequency circuit with a variable reactor tuned bandpass switched bandpass filter provided by the embodiment of the present invention. Detailed Embodiments

[0021] To make the objectives, technical solutions, and advantages of the present invention more clear, the following will, in conjunction with the accompanying drawings of the present invention, clearly and completely describe the technical solutions in the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0022] The following will, in conjunction with Figure 1 describe the selective radio frequency circuit of the present invention with a variable reactor tuned bandpass switched bandpass filter.

[0023] Figure 1 is a schematic structural diagram of the selective radio frequency circuit of the present invention with a variable reactor tuned bandpass switched bandpass filter provided by an embodiment of the present invention.

[0024] As Figure 1 shown, the selective radio frequency circuit of the present invention with a variable reactor tuned bandpass switched bandpass filter provided by an embodiment of the present invention is used to perform frequency band selection on the input signal transmitted by the front-end circuit, and perform frequency tuning and filtering processing, and then output it to the back-end circuit, including: a signal input module, a frequency band selection module, a variable reactor tuning module, a bandpass filter module, and a signal output module.

[0025] The signal input module is used to receive the radio frequency signal transmitted by the front-end circuit and perform filtering processing on the radio frequency signal to obtain an input signal.

[0026] The filtering processing methods include low-pass filtering processing and high-pass filtering processing. The low-pass filtering processing is used to remove the radio frequency signal with a signal frequency lower than the preset frequency band; the high-pass filtering processing is used to remove the radio frequency signal with a signal frequency higher than the preset frequency band.

[0027] The signal input module is responsible for receiving the input signal from the front-end circuit and can adopt various types of radio frequency signal receivers, such as antennas, coupling lines, etc.

[0028] The signal input module needs to have sufficient sensitivity and bandwidth to ensure that all information of the input signal can be completely captured. At the same time, it also needs to have good anti-interference ability to avoid the influence of external interference on the input signal.

[0029] In this embodiment, the function of the signal input module is to convert the original input signal from the front-end circuit, through reception and preliminary filtering processing, into a signal form that meets the requirements of subsequent modules, and provide a good input for subsequent frequency band selection, frequency tuning, and bandpass filtering and other functions. This front-end signal sorting and conditioning helps to improve the stability and reliability of the entire radio frequency circuit system.

[0030] The frequency band selection module is used to select the signal of the target frequency band from the input signal as the initial radio frequency signal, including a frequency band analysis unit and a frequency band selection unit. The frequency band analysis unit is used to analyze the spectral characteristics of the input signal. The frequency band selection unit is used to use the input signal corresponding to the target frequency band as the initial radio frequency signal according to the spectral characteristics.

[0031] The frequency band analysis unit is used to analyze and identify the spectral characteristics of the input signal. Using the Fourier transform algorithm, the input signal is decomposed in the frequency domain to obtain its spectral distribution. By analyzing the spectral characteristics of the input signal, such as the main frequency band, bandwidth, peak frequency, etc., the frequency band analysis unit can determine the target frequency band that the system needs to process. This provides a basis for subsequent frequency band selection. The frequency band analysis unit can also monitor the change of the input signal spectrum over time and provide real-time feedback for adaptively adjusting the frequency band selection strategy.

[0032] The frequency band selection unit selects the signal component corresponding to the target frequency band according to the spectral characteristic information provided by the frequency band analysis unit and outputs it as the initial radio frequency signal. The frequency band selection unit uses a programmable digital filter or a tunable analog filter circuit to accurately extract the signal of the target frequency band by adjusting the center frequency and bandwidth of the filter in real time. The frequency band selection strategy can be fixed or dynamically adjusted according to the spectral change to achieve adaptive selection of the optimal frequency band.

[0033] In this embodiment, the frequency band selection module is used to accurately extract the target frequency band signal required by the system from the complex input signal and provide a good initial radio frequency signal source for subsequent frequency tuning and filtering processing.

[0034] The varactor tuning module is used to construct an adaptive frequency tuning model based on a recurrent neural network, adjust the varactor capacitance value to achieve continuous tuning of the initial radio frequency signal frequency, and obtain the tuned radio frequency signal.

[0035] The varactor tuning module includes a capacitance value calculation unit. The capacitance value calculation unit constructs an adaptive tuning model based on a recurrent neural network, uses the frequency characteristic data of the initial radio frequency signal as the model input, and outputs the target capacitance value of the varactor. The construction process of the adaptive tuning model includes: Collect radio frequency signal frequency data and corresponding varactor capacitance value data as the sample set for training the tuning model.

[0036] Extract the frequency characteristic data of the radio frequency signal frequency data corresponding to each group of varactor capacitance value data. The radio frequency signal frequency data includes the frequency, amplitude, and phase parameters of the radio frequency signal.

[0037] Use a recurrent neural network to construct an adaptive tuning model, input the frequency characteristic data into the adaptive tuning model, and output the target capacitance value of the varactor.

[0038] Using the sample set, the adaptive tuning model is trained through the backpropagation algorithm, and regularization techniques are adopted to improve the generalization ability of the model and reduce the risk of overfitting.

[0039] The varactor tuning module further includes a radio frequency signal tuning unit, which is used to continuously tune the initial radio frequency signal frequency according to the target capacitance value output by the tuning model, including: Monitor the initial radio frequency signal in real time and extract frequency feature data.

[0040] Input the frequency feature data into the tuning model.

[0041] Output the target capacitance value of the varactor corresponding to the initial radio frequency signal.

[0042] According to the target capacitance value, adjust the varactor capacitance value in real time to continuously tune the initial radio frequency signal frequency and obtain the tuned radio frequency signal.

[0043] In this embodiment, by adopting an adaptive frequency tuning model based on a recurrent neural network, the varactor capacitance can be continuously adjusted to achieve intelligent tuning of the initial radio frequency signal frequency. This adaptive tuning mechanism can track the change of the input signal frequency in real time, ensure that the tuned radio frequency signal is always in the optimal state, has stronger adaptability and response speed, and can better adapt to complex and changeable working environments.

[0044] The band-pass filter module is used to construct a support vector machine prediction model, and adaptively adjust the bandwidth and center frequency of the band-pass filter according to the tuned radio frequency signal to achieve band-pass filtering processing of the tuned radio frequency signal.

[0045] The band-pass filter module includes a filter parameter prediction unit, which is used to construct a prediction model based on a support vector machine, input the frequency data of the tuned radio frequency signal, and obtain the optimal filter state parameters corresponding to the tuned radio frequency signal. The filter state parameters include the bandwidth and center frequency of the filter.

[0046] The construction process of the prediction model includes: Collect the frequency data of the tuned radio frequency signal and the filter state parameters, and perform feature extraction on the radio frequency signal frequency data and the filter state parameters to obtain input feature data.

[0047] Label the input feature data with the corresponding filter state parameters to form a training sample set, and divide it into a prediction model training set and a prediction model validation set.

[0048] Select a linear kernel as the kernel function of the prediction model, and adjust the hyperparameters of the prediction model through grid search.

[0049] Train the prediction model using the training set data of the prediction model.

[0050] Use the validation set data of the prediction model to evaluate the performance of the trained prediction model.

[0051] Optimize data preprocessing, kernel function selection, and hyperparameter tuning according to the evaluation results.

[0052] Deploy the prediction model whose evaluation results meet the preset goals to the filter parameter prediction unit.

[0053] The band-pass filter module further includes a filter driving unit, which is used to adjust the capacitance value of the band-pass filter according to the optimal filter state parameters output by the prediction model, so as to realize the dynamic adjustment of the filter state parameters.

[0054] The variable capacitor is realized by technologies such as a volta effect diode or a microelectromechanical system variable capacitor.

[0055] The variable inductor is realized by means such as magnetostrictive materials or electromechanical variable inductors.

[0056] Through the precise control of these variable components, the filter driving unit can effectively adjust the center frequency and bandwidth parameters of the filter to adapt to different working conditions.

[0057] The band-pass filter module further includes a band-pass filtering processing unit, which is used to perform band-pass filtering processing on the tuned RF signal through the band-pass filter with the state parameters adjusted to obtain the output RF signal.

[0058] The band-pass filtering processing unit can also further process the filtered tuned RF signal, including signal amplitude adjustment, phase correction, etc., to ensure that the filtered signal meets the output requirements.

[0059] At the same time, the adjustment of the frequency response characteristic of the band-pass filter may cause a change in the signal amplitude, and amplitude compensation is required. A variable gain amplifier or an adjustable attenuator can be integrated inside the band-pass filtering processing unit to dynamically adjust the amplitude of the filtered signal to make it reach the ideal output level.

[0060] The adjustment of the frequency response of the band-pass filter may also cause a change in the signal phase. The band-pass filtering processing unit needs to be equipped with a phase detection and compensation circuit to monitor the phase deviation of the filtered signal in real time, and perform dynamic compensation through circuits such as a programmable phase shifter. Phase correction ensures that the filtered signal can be consistent with the phase requirements of the subsequent module, avoiding phase mismatch problems.

[0061] In addition to amplitude and phase adjustment, the band - pass filtering processing unit also needs to further optimize indicators such as the harmonic content and noise level of the filtered signal. Additional low - pass filters, notch filters and other circuits can be used to further perform spectral shaping and noise suppression on the output signal, ensuring the high - purity and low - noise characteristics of the output signal.

[0062] In this embodiment, the band - pass filter module can adjust the bandwidth and center frequency of the band - pass filter in real time by adopting a support vector machine prediction model, and perform effective band - pass filtering processing on the tuned radio - frequency signal. This adaptive filtering mechanism can dynamically optimize the parameter settings of the filter according to the actual situation of the input signal, ensuring that the filtering result always meets the system performance requirements, and has stronger adaptability and flexibility.

[0063] The signal output module is used to enhance the output radio - frequency signal and then output it to the backend circuit.

[0064] Signal enhancement includes amplitude adjustment and waveform shaping. Amplitude adjustment is to adjust and control the amplitude of the radio - frequency signal through a variable - gain amplifier or an adjustable attenuator to meet the required output power requirements; waveform shaping is to optimize and shape the waveform of the output radio - frequency signal.

[0065] In this embodiment, the signal output module further performs amplitude adjustment and waveform shaping on the tuned radio - frequency signal after band - pass filtering processing through a signal adjustment unit. Precise amplitude adjustment and waveform shaping can reduce signal distortion and noise, making the radio - frequency signal clearer, more stable and reliable, thereby improving the overall signal quality. The optimized signal amplitude and waveform better meet the input requirements of the backend circuit, which helps to achieve good matching and compatibility with the backend circuit and improve the overall performance of the system. The well - shaped and adjusted signal has stronger anti - interference ability and lower attenuation characteristics, can maintain good characteristics during transmission, and thus extend the effective transmission distance. The precisely adjusted signal helps to reduce system failures and instability caused by signal anomalies, enhancing the reliability and stability of system operation. It can flexibly adjust the signal characteristics according to different backend circuit requirements and application scenarios, improving the versatility and applicability of the system.

[0066] In summary, this embodiment provides a selective radio - frequency circuit with a variable - reactor - tuned band - pass switched band - pass filter. By adopting an adaptive frequency tuning model based on a recurrent neural network, the variable - reactor capacitance can be continuously adjusted to achieve intelligent tuning of the initial radio - frequency signal frequency. This adaptive tuning mechanism can track the change of the input signal frequency in real time, ensure that the tuned radio - frequency signal is always in an optimal state, has stronger adaptive ability and response speed, and can better adapt to complex and changeable working environments.

[0067] By adopting a support vector machine prediction model, the bandwidth and center frequency of the band-pass filter can be adjusted in real time to effectively perform band-pass filtering on the tuned radio frequency signal. This adaptive filtering mechanism can dynamically optimize the parameter settings of the filter according to the actual situation of the input signal, ensuring that the filtering result always meets the system performance requirements, and has stronger adaptability and flexibility.

[0068] Through tight integration and collaborative work, a highly intelligent radio frequency front-end circuit is formed. This circuit not only has basic functions such as frequency band selection, frequency tuning, and band-pass filtering, but also incorporates an advanced adaptive mechanism that can optimize key parameters in real time, greatly enhancing the flexibility and robustness of the system. This innovative design scheme provides a more adaptable and intelligent radio frequency solution for future complex communication systems, and is of great significance in improving spectrum utilization efficiency, anti-interference ability, etc.

[0069] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A selective radio frequency circuit with a variable inductor tuned band - pass switched band - pass filter is used to select frequency bands for the input signal transmitted by the front - end circuit, and perform frequency tuning and filtering processing, and then output to the back - end circuit. It is characterized in that, Including: A signal input module, configured to receive the radio frequency signal transmitted by the front-end circuit, and perform filtering processing on the radio frequency signal to obtain an input signal; A frequency band selection module, configured to select the input signal within the target frequency band as an initial radio frequency signal; A varactor tuning module, including a capacitance value calculation unit and a radio frequency signal tuning unit, where the capacitance value calculation unit is configured to construct an adaptive tuning model based on a recurrent neural network, input the frequency feature data of the initial radio frequency signal into the adaptive tuning model, and output the target capacitance value of the varactor; The radio frequency signal tuning unit is configured to continuously tune the frequency of the initial radio frequency signal according to the target capacitance value to obtain a tuned radio frequency signal; A band-pass filter module, configured to convert the tuned radio frequency signal into an output radio frequency signal; A signal output module, configured to enhance the output radio frequency signal and then output it to the back-end circuit.

2. The selective radio frequency circuit with a variable inductor tuned bandpass switched bandpass filter according to claim 1, characterized in that, The filtering processing method includes low-pass filtering processing and high-pass filtering processing. The low-pass filtering processing is used to remove radio frequency signals with signal frequencies lower than the preset frequency band; the high-pass filtering processing is used to remove radio frequency signals with signal frequencies higher than the preset frequency band.

3. The selective radio frequency circuit with a variable inductor tuned bandpass switched bandpass filter according to claim 1, characterized in that, The frequency band selection module includes a frequency band analysis unit and a frequency band selection unit. The frequency band analysis unit is configured to analyze the spectrum characteristics of the input signal; the frequency band selection unit is configured to use the spectrum characteristics to take the input signal within the target frequency band range as the initial radio frequency signal.

4. The selective radio frequency circuit having a variable inductor tuned bandpass switched bandpass filter according to claim 1, characterized in that, The process of the capacitance value calculation unit constructing the adaptive tuning model includes: Collecting radio frequency signal frequency data and corresponding varactor capacitance value data as a sample set for training the tuning model; Extracting the frequency feature data of the radio frequency signal frequency data corresponding to each group of the varactor capacitance value data. The radio frequency signal frequency data includes frequency, amplitude, and phase parameters of the radio frequency signal; Using a recurrent neural network to construct an adaptive tuning model, inputting the frequency feature data into the adaptive tuning model, and outputting the target capacitance value of the varactor; Using the sample set to train the adaptive tuning model through the backpropagation algorithm, and adopting a regularization technique to improve the generalization ability of the model and reduce the risk of overfitting.

5. The selective radio frequency circuit having a variable inductor tuned bandpass switched bandpass filter according to claim 4, characterized in that, The continuous tuning of the frequency of the initial radio frequency signal by the radio frequency signal tuning unit includes: Real-time monitoring of the initial radio frequency signal and extracting frequency feature data; Inputting the frequency feature data into the tuning model; Outputting the target capacitance value of the varactor corresponding to the initial radio frequency signal; According to the target capacitance value, adjusting the varactor capacitance value in real time to achieve continuous tuning of the frequency of the initial radio frequency signal and obtain a tuned radio frequency signal.

6. The selective radio frequency circuit having a variable inductor tuned bandpass switched bandpass filter according to claim 1, characterized in that, The band-pass filter module includes a filter parameter prediction unit, which is configured to construct a prediction model based on a support vector machine, input the frequency data of the tuned radio frequency signal, and obtain the optimal filter state parameters corresponding to the tuned radio frequency signal. The filter state parameters include the bandwidth and center frequency of the filter.

7. The selective radio frequency circuit having a variable inductor tuned bandpass switched bandpass filter according to claim 6, wherein The construction process of the prediction model includes: Collect the frequency data of the tuned RF signal and the filter state parameters, and perform feature extraction on the RF signal frequency data and the filter state parameters to obtain input feature data; Label the input feature data with the corresponding filter state parameters to form a training sample set, and divide it into a prediction model training set and a prediction model validation set; Select a linear kernel as the kernel function of the prediction model, and adjust the hyperparameters of the prediction model through grid search; Use the data in the prediction model training set to train the prediction model; Use the data in the prediction model validation set to evaluate the performance of the trained prediction model; Optimize data preprocessing, kernel function selection, and hyperparameter adjustment according to the evaluation results; Deploy the prediction model whose evaluation results reach the preset target to the filter parameter prediction unit; 8. The selective radio frequency circuit having a variable inductor tuned bandpass switched bandpass filter according to claim 7, wherein, The band-pass filter module further includes a filter driving unit, and the filter driving unit is used to adjust the capacitance value of the band-pass filter according to the optimal filter state parameters output by the prediction model to realize dynamic adjustment of the filter state parameters; 9. The selective radio frequency circuit with a variable inductor tuned bandpass switched bandpass filter according to claim 8, characterized in that, The band-pass filter module further includes a band-pass filtering processing unit, and the band-pass filtering processing unit is used to perform band-pass filtering processing on the tuned RF signal through the band-pass filter with the state parameters adjusted to obtain an output RF signal; 10. The selectable radio frequency circuit with a variable inductor tuned bandpass switched bandpass filter according to claim 1, characterized in that, The signal enhancement includes amplitude adjustment and waveform shaping. The amplitude adjustment is to adjust and control the amplitude of the RF signal through a variable gain amplifier or an adjustable attenuator to meet the required output power requirements; the waveform shaping is to optimize and shape the waveform of the output RF signal.

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