Radio frequency signal analog-to-digital conversion method and analog-to-digital converter

Abstract

The invention discloses a radio frequency signal analog-to-digital conversion method and an analog-to-digital converter, and relates to the technical field of radio frequency signals, and the technical scheme is characterized by comprising the following steps: obtaining signal characteristic data and conversion demand data of a radio frequency signal source; obtaining parameter data of the radio frequency signal analog-to-digital conversion device; processing and analyzing the signal characteristic data to obtain a signal fluctuation range corresponding to the radio frequency signal source; acquiring an adaptive range of a radio frequency signal analog-to-digital conversion device according to the parameter data, and performing range matching according to the adaptive range and the signal fluctuation range to obtain a to-be-selected conversion device corresponding to the radio frequency signal source; processing and analyzing the signal change track of the radio frequency signal source to obtain an adaptive track coefficient corresponding to the to-be-selected conversion device; the analog-to-digital conversion device has the advantages of remarkably improving the adaptability, the signal quality and the conversion efficiency of analog-to-digital conversion of radio-frequency signals.

Description

Technical Field

[0001] This invention relates to the field of radio frequency signal technology, and more specifically, to a radio frequency signal analog-to-digital conversion method and an analog-to-digital converter. Background Technology

[0002] In many fields that rely on radio frequency (RF) signal transmission and processing, such as modern communications, radar detection, and the Internet of Things (IoT), RF signal analog-to-digital conversion (ADC) is a crucial step. Its function is to convert continuously changing RF analog signals into digital signals for subsequent precise processing, analysis, and application. From a signal characteristics perspective, RF signal sources are often diverse and dynamic. The frequency, intensity, and fluctuation patterns of signals vary significantly across different application scenarios, and the signals themselves change dynamically with the environment and time. Traditional methods cannot accurately adapt to signal fluctuations, leading to problems such as signal distortion and packet loss after conversion, which affects the accuracy of subsequent data processing. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a radio frequency signal analog-to-digital conversion method and an analog-to-digital converter.

[0004] To achieve the above objectives, the present invention provides the following technical solution: A radio frequency signal analog-to-digital conversion method, comprising the following steps: Acquire signal characteristic data and conversion requirement data of the radio frequency signal source; and acquire parameter data of the radio frequency signal analog-to-digital converter. The signal fluctuation range corresponding to the radio frequency signal source is obtained by processing and analyzing the signal characteristic data; The adaptation range of the radio frequency signal analog-to-digital converter is obtained based on the parameter data, and the candidate converter corresponding to the radio frequency signal source is obtained by range matching based on the adaptation range and the signal fluctuation range. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained by processing and analyzing the signal change trajectory of the radio frequency signal source. Extract the conversion performance parameters of the candidate conversion devices, and set the performance index parameters of the radio frequency signal source according to the conversion requirement data; process and analyze the performance index parameters and the conversion performance parameters of the candidate conversion devices to obtain the conversion performance coefficients corresponding to the candidate conversion devices; The comprehensive conversion coefficients corresponding to the candidate conversion devices are obtained based on the adaptation trajectory weights and adaptation trajectory coefficients. The radio frequency signal analog-to-digital converter corresponding to the radio frequency signal source is obtained based on the comprehensive conversion coefficient, and the radio frequency signal of the radio frequency signal source is converted into analog-to-digital based on the radio frequency signal analog-to-digital converter.

[0005] Preferably, the method further includes the following steps: The received radio frequency signal is divided into multiple sub-band signals. The signal strength of each sub-band signal is detected. Sub-band signals with signal strength greater than or equal to a preset strength threshold are identified as signals to be converted. If the signals to be converted are correlated signals with spectral overlap, the main conversion signal and the auxiliary conversion signal are selected from the signals to be converted. The analog-to-digital conversion parameters of the main conversion signal are determined based on historical conversion data and the signal parameters of the main conversion signal to obtain the main conversion parameter value. The related feature data to be converted to which the main conversion signal belongs are statistically analyzed. The spectral interference range generated by the main conversion signal after analog-to-digital conversion is determined based on historical conversion data and the related feature data to be converted to obtain the interference range value. Based on the signal parameters of the auxiliary conversion signal, the analog-to-digital conversion parameters that the auxiliary conversion signal needs to be performed are determined to obtain the auxiliary conversion parameter values. Based on the interference range value, the actual signal frequency band range that the auxiliary conversion signal needs to be converted is predicted to obtain the preprocessed auxiliary conversion range one. Based on the preprocessed auxiliary conversion range one and the auxiliary conversion parameter values, the analog-to-digital conversion scheme one is formulated. The difference between the main conversion parameter value and the original parameter value of the main conversion signal is calculated to obtain the preprocessed main conversion difference. Based on the preprocessed main conversion difference, the actual signal frequency range that needs to be converted from analog to digital is determined to obtain the preprocessed main conversion range. Based on the preprocessed main conversion range and the main conversion parameter value, the second analog-to-digital conversion scheme is formulated.

[0006] Preferably, the signal fluctuation range corresponding to the radio frequency signal source is obtained by processing and analyzing the signal feature data, which further includes the following steps: The signal change trajectory of the radio frequency signal source is generated based on the signal characteristics of the radio frequency signal source during the switching period; Obtain the signal parameter values ​​of each trajectory point in the signal change trajectory, and determine the signal fluctuation range corresponding to the radio frequency signal source based on the signal parameter values.

[0007] Preferably, the candidate conversion device corresponding to the radio frequency signal source is obtained by range matching based on the adaptation range and the signal fluctuation range, specifically as follows: If the adaptation range of the radio frequency signal analog-to-digital converter includes the signal fluctuation range of the radio frequency signal source, then the radio frequency signal analog-to-digital converter is recorded as the candidate converter corresponding to the radio frequency signal source.

[0008] Preferably, the adaptation trajectory coefficients corresponding to the candidate conversion device are obtained by processing and analyzing the signal change trajectory of the radio frequency signal source, specifically including the following steps: The signal adaptation trajectory between the candidate conversion device and the radio frequency signal source is obtained based on the signal change trajectory of the radio frequency signal source. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained based on the signal adaptation trajectory.

[0009] Preferably, the adaptation trajectory coefficients corresponding to the candidate conversion device are obtained based on the signal adaptation trajectory, specifically including the following steps: A signal adaptation range is pre-set, and each signal adaptation range corresponds to an adaptation weight. Based on the inclusion relationship between signal adaptation degree and signal adaptation interval in the signal adaptation trajectory, the signal adaptation trajectory is divided into at least one segmented signal adaptation trajectory; The segmented signal adaptation trajectory corresponds to the signal adaptation interval, and the adaptation weight corresponding to the signal adaptation interval is recorded as the target adaptation weight of the segmented signal adaptation trajectory. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained based on the segmented signal adaptation trajectory and the target adaptation weight.

[0010] Preferably, the conversion performance parameters of the candidate conversion device are extracted, and the performance index parameters of the radio frequency signal source are set according to the conversion requirement data, specifically including the following steps: Extract the sampling rate parameters, quantization parameters, signal-to-noise ratio parameters, and device load capacity of the candidate conversion device; Based on the conversion requirement data, the conversion signal type and conversion data volume of the radio frequency signal source are obtained; The performance parameters of the radio frequency signal source are set according to the type of converted signal and the amount of converted data; The performance parameters include the sampling rate requirement, quantization requirement, signal-to-noise ratio requirement, and expected load of the device for the radio frequency signal source.

[0011] Preferably, the conversion performance coefficients of the candidate conversion devices are obtained by processing and analyzing the performance index parameters and conversion performance parameters of the candidate conversion devices, specifically including the following steps: Pre-set performance indicator weights; wherein, the performance indicator weights include sampling rate weight, quantization status weight, signal-to-noise ratio weight, and load adaptation weight; The performance parameters of the radio frequency signal source are compared with the conversion performance parameters of the candidate conversion device to obtain the parameter matching device in the candidate conversion device. Based on the sampling rate weights, sampling rate requirement parameters, and sampling rate parameters of the parameter adapter, the sampling rate coefficients of the parameter adapter are obtained; based on the quantization status weights, quantization status requirement parameters, and quantization status parameters of the parameter adapter, the quantization status coefficients of the parameter adapter are obtained. The signal-to-noise ratio coefficient of the parameter adapter is obtained based on the signal-to-noise ratio weight, the signal-to-noise ratio requirement parameter, and the signal-to-noise ratio parameter of the parameter adapter; the load adaptation coefficient of the parameter adapter is obtained based on the load adaptation weight, the load requirement parameter, and the load parameter of the parameter adapter. The conversion performance coefficients of the candidate conversion devices are obtained based on the sampling rate coefficient, quantization condition coefficient, signal-to-noise ratio coefficient, and load adaptation coefficient. If the candidate conversion device is a parameter adaptation device, then the candidate conversion device has a conversion performance coefficient; if the candidate conversion device is not a parameter adaptation device, then the candidate conversion device does not have a conversion performance coefficient.

[0012] Preferably, the parameter matching device in the candidate conversion device is obtained by comparing the performance parameters of the radio frequency signal source with the conversion performance parameters of the candidate conversion device, specifically including the following steps: The performance parameters of the radio frequency signal source are compared with the conversion performance parameters of the candidate conversion device; If the conversion performance parameters of the candidate conversion device correspond to and match the performance parameters of the radio frequency signal source, then the candidate conversion device is denoted as a parameter adaptation device.

[0013] Radio frequency signal analog-to-digital converter, including: Acquisition module: Acquires signal characteristic data and conversion requirement data from the radio frequency signal source; and acquires parameter data from the radio frequency signal analog-to-digital converter. Processing module: Processes and analyzes signal feature data to obtain the signal fluctuation range corresponding to the radio frequency signal source; Matching module: Based on parameter data, obtain the adaptation range of the radio frequency signal analog-to-digital converter, and perform range matching based on the adaptation range and the signal fluctuation range to obtain the candidate conversion device corresponding to the radio frequency signal source; The first analysis module processes and analyzes the signal change trajectory of the radio frequency signal source to obtain the adaptation trajectory coefficients corresponding to the candidate conversion device. The second analysis module extracts the conversion performance parameters of the candidate conversion devices and sets the performance index parameters of the radio frequency signal source according to the conversion requirement data; it processes and analyzes the performance index parameters and the conversion performance parameters of the candidate conversion devices to obtain the conversion performance coefficients corresponding to the candidate conversion devices. Calculation module: Calculates the comprehensive conversion coefficients corresponding to the candidate conversion devices based on the adaptive trajectory weights and coefficients; Selected module: Based on the comprehensive conversion coefficient, obtain the radio frequency signal analog-to-digital converter corresponding to the radio frequency signal source, and perform analog-to-digital conversion on the radio frequency signal source based on the radio frequency signal analog-to-digital converter.

[0014] Compared with the prior art, the present invention has the following beneficial effects: This invention acquires the signal characteristics, conversion requirements, and device parameters of an RF signal source, and filters candidate conversion devices by analyzing signal fluctuation range and matching them with device compatibility range. Based on a precise match between actual signal fluctuations and device compatibility capabilities, it ensures that the candidate devices possess the potential to process signals at a fundamental level, significantly reducing the probability of subsequent conversion errors. Deep quantification of device compatibility is achieved through adaptation trajectory coefficients and conversion performance coefficients. Adaptation trajectory coefficients are obtained by processing the signal change trajectory, thereby determining the degree of fit between the device and the dynamic changes of the signal; conversion performance parameters are extracted and compared with requirements to obtain conversion performance coefficients, ensuring the quality of the converted signal and meeting the needs of high-precision scenarios. The fusion of adaptation trajectory and conversion performance data ensures that the selected conversion device achieves an optimal balance between dynamic signal compatibility and performance satisfaction. It can accurately select devices in complex RF environments, ensuring consistent and efficient signal conversion and improving the overall reliability of the system. Therefore, it is highly effective in improving the compatibility, signal quality, and conversion efficiency of RF signal analog-to-digital conversion. Attached Figure Description

[0015] Figure 1 This is a schematic diagram illustrating the steps of the radio frequency signal analog-to-digital conversion method proposed in this invention; Figure 2 This is a schematic diagram of the radio frequency signal analog-to-digital converter proposed in this invention. Detailed Implementation

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0017] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0018] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0019] Reference Figures 1-2 As shown.

[0020] The embodiments further illustrate the radio frequency signal analog-to-digital conversion method and analog-to-digital converter proposed in this invention.

[0021] A radio frequency signal analog-to-digital conversion method, comprising the following steps: Acquire signal characteristic data and conversion requirement data of the radio frequency signal source; and acquire parameter data of the radio frequency signal analog-to-digital converter. The signal fluctuation range corresponding to the radio frequency signal source is obtained by processing and analyzing the signal characteristic data; The adaptation range of the radio frequency signal analog-to-digital converter is obtained based on the parameter data, and the candidate converter corresponding to the radio frequency signal source is obtained by range matching based on the adaptation range and the signal fluctuation range. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained by processing and analyzing the signal change trajectory of the radio frequency signal source. Extract the conversion performance parameters of the candidate conversion devices, and set the performance index parameters of the RF signal source according to the conversion requirement data; process and analyze the performance index parameters and the conversion performance parameters of the candidate conversion devices to obtain the conversion performance coefficients corresponding to the candidate conversion devices; The comprehensive conversion coefficients corresponding to the candidate conversion devices are obtained based on the adaptation trajectory weights and adaptation trajectory coefficients. Based on the comprehensive conversion coefficient, the radio frequency signal analog-to-digital converter corresponding to the radio frequency signal source is obtained, and the radio frequency signal of the radio frequency signal source is converted into analog-to-digital based on the radio frequency signal analog-to-digital converter.

[0022] This application first obtains signal characteristic data of the radio frequency (RF) signal source, conversion requirement data, and parameter data of the RF signal analog-to-digital converter (ADC). Next, the signal characteristic data is processed and analyzed to determine the signal fluctuation range corresponding to the RF signal source, thereby understanding the possible range of signal change during conversion. Then, based on the ADC parameter data, its adaptation range is obtained, and the adaptation range is matched with the signal fluctuation range to screen out candidate ADCs that can basically cover the signal fluctuations. The signal change trajectory of the RF signal source is processed and analyzed to obtain the adaptation trajectory coefficients corresponding to the candidate ADCs, further evaluating the candidate ADCs from the perspective of dynamic signal change adaptation. Then, the conversion performance parameters of the candidate ADCs are extracted, and the performance index parameters of the RF signal source are set in conjunction with the conversion requirement data. By comparing the two, the conversion performance coefficients corresponding to the candidate ADCs are obtained, evaluating performance satisfaction. Subsequently, the comprehensive conversion coefficient of the candidate ADCs is calculated based on the adaptation trajectory weights and adaptation trajectory coefficients, comprehensively considering factors such as adaptation trajectory and performance. Finally, the most suitable RF signal ADC is selected based on the comprehensive conversion coefficients, and it is used to perform analog-to-digital conversion on the RF signal from the RF signal source.

[0023] It also includes the following steps: The received radio frequency signal is divided into multiple sub-band signals. The signal strength of each sub-band signal is detected. Sub-band signals with signal strength greater than or equal to a preset strength threshold are identified as signals to be converted. If the signals to be converted are correlated signals with spectral overlap, the main conversion signal and the auxiliary conversion signal are selected from the signals to be converted. The analog-to-digital conversion parameters of the main conversion signal are determined based on historical conversion data and the signal parameters of the main conversion signal to obtain the main conversion parameter value. The related feature data to be converted to which the main conversion signal belongs are statistically analyzed. The spectral interference range generated by the main conversion signal after analog-to-digital conversion is determined based on historical conversion data and the related feature data to be converted to obtain the interference range value. Based on the signal parameters of the auxiliary conversion signal, the analog-to-digital conversion parameters that the auxiliary conversion signal needs to be performed are determined to obtain the auxiliary conversion parameter values. Based on the interference range value, the actual signal frequency band range that the auxiliary conversion signal needs to be converted is predicted to obtain the preprocessed auxiliary conversion range one. Based on the preprocessed auxiliary conversion range one and the auxiliary conversion parameter values, the analog-to-digital conversion scheme one is formulated. The difference between the main conversion parameter value and the original parameter value of the main conversion signal is calculated to obtain the preprocessed main conversion difference. Based on the preprocessed main conversion difference, the actual signal frequency range that needs to be converted from analog to digital is determined to obtain the preprocessed main conversion range. Based on the preprocessed main conversion range and the main conversion parameter value, the second analog-to-digital conversion scheme is formulated.

[0024] This application first performs frequency band division on the received radio frequency signal, breaking down the complex radio frequency signal into multiple sub-frequency band signals. Next, the strength of each sub-frequency band signal is detected, and sub-frequency band signals with strengths reaching or exceeding a preset strength threshold are selected as signals to be converted. If there is spectral overlap among these signals to be converted (meaning that the spectral resources of the signals intersect, making them prone to mutual interference during conversion), a primary conversion signal and an auxiliary conversion signal are distinguished from the signals to be converted. The primary conversion signal is usually the signal that plays a core supporting role in the implementation of services and functions, while the auxiliary conversion signal is the signal whose spectrum overlaps with the primary conversion signal.

[0025] Based on historical conversion data and the signal parameters of the main conversion signal, the analog-to-digital conversion parameters of the main conversion signal are determined to obtain the main conversion parameter values, which guide the basic conversion operation of the main conversion signal. Simultaneously, the associated characteristic data of the main conversion signal to be converted are statistically analyzed. Then, based on historical conversion data and these associated characteristic data, the potential spectral interference range of the main conversion signal after analog-to-digital conversion is determined, thus obtaining the interference range value. This allows for the assessment of the boundary of the impact of the main conversion signal on surrounding signals after conversion.

[0026] Based on the signal parameters of the auxiliary conversion signal, the analog-to-digital conversion parameters required for the auxiliary conversion signal are determined to obtain the auxiliary conversion parameter values. Based on the previously obtained interference range values, the actual frequency band range within which the auxiliary conversion signal needs to undergo analog-to-digital conversion is determined, i.e., preprocessing auxiliary conversion range one. Then, combining preprocessing auxiliary conversion range one and the auxiliary conversion parameter values, a specific analog-to-digital conversion scheme one is formulated to ensure that the auxiliary conversion signal completes the conversion in a suitable frequency band with appropriate parameters, reducing interference between the primary and auxiliary signals.

[0027] To more accurately process the main conversion signal, the difference between the main conversion parameter values ​​and the original parameter values ​​of the main conversion signal is calculated to obtain a pre-processed main conversion difference. This difference is used to determine the actual frequency range of the main conversion signal that needs analog-to-digital conversion. Then, based on the pre-processed main conversion range and the main conversion parameter values, a second analog-to-digital conversion scheme is developed for the main conversion signal, ensuring that the main signal conversion meets the parameter requirements and adapts to the actual signal characteristics, thereby reducing conversion errors.

[0028] The process of processing and analyzing signal characteristic data to obtain the signal fluctuation range corresponding to the radio frequency signal source includes the following steps: The signal change trajectory of the radio frequency signal source is generated based on the signal characteristics of the radio frequency signal source during the switching period; Obtain the signal parameter values ​​of each trajectory point in the signal change trajectory, and determine the signal fluctuation range corresponding to the radio frequency signal source based on the signal parameter values.

[0029] This application explicitly bases its analysis on the signal characteristics of the radio frequency signal source during the switching period, because the switching period determines the time range for signal analysis. It collects the changes in the frequency, intensity, phase, and other characteristics of the signal over time and uses them to generate signal change trajectories.

[0030] The system acquires signal parameter values ​​at various points along the signal change trajectory. These scattered parameter values ​​are then integrated to identify the maximum, minimum, and range of signal values, thereby determining the signal fluctuation range corresponding to the RF signal source. This allows for subsequent matching with the RF signal analog-to-digital converter, ensuring the entire conversion process better reflects the actual signal conditions and improving accuracy and effectiveness.

[0031] Based on the adaptation range and signal fluctuation range, range matching is performed to obtain the candidate conversion device corresponding to the radio frequency signal source, specifically: If the adaptation range of the radio frequency signal analog-to-digital converter includes the signal fluctuation range of the radio frequency signal source, then the radio frequency signal analog-to-digital converter is recorded as the candidate converter corresponding to the radio frequency signal source.

[0032] This application clarifies the compatibility range of an RF signal analog-to-digital converter (ADC) and the signal fluctuation range of an RF signal source. It determines the inclusion relationship between the compatibility range of the converter and the signal fluctuation range of the signal source. If the compatibility range of an RF signal ADC can completely cover the signal fluctuation range of the RF signal source, it means that the capability boundary of the device is sufficient to accommodate changes in the signal during the conversion process. From a basic compatibility perspective, it has the potential to process the signal from that RF signal source. In this case, the RF signal ADC is marked as a candidate converter for the corresponding RF signal source.

[0033] The process of processing and analyzing the signal variation trajectory of the radio frequency signal source to obtain the adaptation trajectory coefficients corresponding to the candidate conversion device includes the following steps: The signal adaptation trajectory between the candidate conversion device and the radio frequency signal source is obtained based on the signal change trajectory of the radio frequency signal source. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained based on the signal adaptation trajectory.

[0034] This application determines the signal adaptation trajectory between the candidate conversion device and the radio frequency signal source based on the signal change trajectory of the radio frequency signal source. The signal change trajectory is the dynamic change path of the signal characteristics (such as frequency, intensity, etc.) of the radio frequency signal source over time during the conversion period. The candidate conversion device has its own signal processing capability range and characteristics. By combining the two, the matching of signal input and output during the signal change trajectory processing process of the device is determined, thereby judging the signal adaptation trajectory between the candidate conversion device and the radio frequency signal source. It reflects the device's adaptation process and effect to the dynamic changes of the signal.

[0035] The adaptation trajectory coefficients corresponding to the candidate conversion devices are calculated based on the obtained signal adaptation trajectory. In this process, the degree of adaptation at different stages of the adaptation trajectory is judged, and the signal adaptation trajectory is quantified by preset evaluation rules (such as assigning weights to different adaptation degree intervals). The quality and smoothness of the adaptation are converted into specific values, namely the adaptation trajectory coefficients, which measure the adaptation level between the candidate conversion devices and the radio frequency signal source in dynamic signal change scenarios.

[0036] The adaptation trajectory coefficients of the candidate conversion device are obtained based on the signal adaptation trajectory, specifically including the following steps: Pre-set signal adaptation intervals, each with corresponding adaptation weights; Based on the inclusion relationship between signal adaptation degree and signal adaptation interval in the signal adaptation trajectory, the signal adaptation trajectory is divided into at least one segmented signal adaptation trajectory; The segmented signal adaptation trajectory corresponds to the signal adaptation interval, and the adaptation weight corresponding to the signal adaptation interval is recorded as the target adaptation weight of the segmented signal adaptation trajectory. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained based on the segmented signal adaptation trajectory and the target adaptation weight.

[0037] This application first pre-sets signal adaptation intervals and assigns corresponding adaptation weights to each interval. These intervals and weights are determined based on the radio frequency signal conversion adaptation standard. For example, different signal frequencies and intensities correspond to different weights for the adaptation intervals, and the intervals with better adaptation have higher weights.

[0038] Based on the inclusion relationship between the signal adaptation degree and the pre-set signal adaptation interval, the signal adaptation trajectory is divided into at least one segmented signal adaptation trajectory. Next, since the segmented signal adaptation trajectory corresponds to a signal adaptation interval, the original adaptation weight of each signal adaptation interval is recorded as the target adaptation weight of the segmented signal adaptation trajectory, thus assigning a quantified adaptation weight to each segment. Finally, based on these segmented signal adaptation trajectories and their corresponding target adaptation weights, the adaptation trajectory coefficients corresponding to the candidate conversion device are obtained through a weighted calculation method.

[0039] Extracting the conversion performance parameters of the candidate conversion device and setting the performance parameters of the RF signal source based on the conversion requirement data, specifically includes the following steps: Extract the sampling rate parameters, quantization parameters, signal-to-noise ratio parameters, and device load capacity of the candidate conversion device; Based on the conversion requirement data, the conversion signal type and conversion data volume of the radio frequency signal source are obtained; The performance parameters of the radio frequency signal source are set according to the type of converted signal and the amount of converted data; Performance parameters include the sampling rate requirement, quantization requirement, signal-to-noise ratio requirement, and expected load of the device for the radio frequency signal source.

[0040] This application extracts the conversion performance parameters of the candidate conversion device, including sampling rate parameters (reflecting the device's ability to collect signal samples at high frequencies and determining the precision of signal restoration), quantization status parameters (related to the accuracy of signal amplitude quantization and affecting the quality of the converted signal), signal-to-noise ratio parameters (reflecting the device's level of noise suppression and retention of effective signals when processing signals), and device load capacity (determining the maximum scale of signals that the device can stably process).

[0041] Determining the type of radio frequency signal to be converted and the amount of data to be converted are fundamental to defining the requirements of the conversion device for the signal source. The type of signal to be converted includes different categories such as high-frequency communication signals and radar detection signals. Different types of signals have significantly different requirements for conversion. The amount of data to be converted refers to the size of the signal data to be converted.

[0042] The performance parameters of the RF signal source are set according to the type of signal to be converted and the amount of data to be converted. Because different types of signals have different requirements for sampling rate, quantization accuracy, etc., and different data volumes will also affect the load capacity requirements of the device, the required parameters for sampling rate, quantization status (requirements for signal quantization accuracy), signal-to-noise ratio, and the expected load of the device are set accordingly, so that these performance parameters are precisely matched with the conversion requirements of the signal source.

[0043] The conversion performance coefficients of the candidate converters are obtained by processing and analyzing the performance index parameters and the conversion performance parameters of the candidate converters. This process includes the following steps: Pre-set performance indicator weights; these weights include sampling rate weight, quantization status weight, signal-to-noise ratio weight, and load adaptation weight. The performance parameters of the radio frequency signal source are compared with the conversion performance parameters of the candidate conversion device to obtain the parameter matching device in the candidate conversion device. Based on the sampling rate weights, sampling rate requirement parameters, and sampling rate parameters of the parameter adapter, the sampling rate coefficients of the parameter adapter are obtained; based on the quantization status weights, quantization status requirement parameters, and quantization status parameters of the parameter adapter, the quantization status coefficients of the parameter adapter are obtained. The signal-to-noise ratio coefficient of the parameter adapter is obtained based on the signal-to-noise ratio weight, the signal-to-noise ratio requirement parameter, and the signal-to-noise ratio parameter of the parameter adapter; the load adaptation coefficient of the parameter adapter is obtained based on the load adaptation weight, the load requirement parameter, and the load parameter of the parameter adapter. The conversion performance coefficients of the candidate conversion devices are obtained based on the sampling rate coefficient, quantization condition coefficient, signal-to-noise ratio coefficient, and load adaptation coefficient. If the candidate conversion device is a parameter adaptation device, then the candidate conversion device has a conversion performance coefficient; if the candidate conversion device is not a parameter adaptation device, then the candidate conversion device does not have a conversion performance coefficient.

[0044] This application first pre-sets performance index weights, determining sampling rate weight, quantization status weight, signal-to-noise ratio weight, and load adaptation weight. These weights are allocated according to the degree of importance attached to each dimension of conversion performance in different application scenarios.

[0045] Next, the performance parameters of the radio frequency signal source and the conversion performance parameters of the candidate conversion devices are compared and screened to select the parameter matching devices.

[0046] The coefficients for each performance dimension of the parameter adaptation device are calculated. Taking the sampling rate coefficient as an example, the sampling rate coefficient is obtained by combining the pre-set sampling rate weights, the sampling rate requirement parameters of the signal source, and the sampling rate parameters of the device through calculation (e.g., multiplying the degree of fit between the device's sampling rate parameters and the requirement parameters by the sampling rate weights), thus quantifying the degree to which the device meets the signal source requirements in the sampling rate dimension. Similarly, the quantization status coefficient is calculated based on the quantization status weights, quantization status requirements, and device parameters; the signal-to-noise ratio coefficient is obtained based on the signal-to-noise ratio weights, signal-to-noise ratio requirements, and device parameters; and the load adaptation coefficient is calculated based on the load adaptation weights, load requirements, and device parameters.

[0047] The conversion performance coefficient of the candidate conversion device is obtained by comprehensively calculating (e.g., weighted summation) the sampling rate coefficient, quantization condition coefficient, signal-to-noise ratio coefficient, and load adaptation coefficient. This comprehensively reflects the overall capability of the parameter-adapted device in meeting the signal source conversion performance requirements. Only parameter-adapted devices (i.e., devices with matched basic parameters) have conversion performance coefficients. Non-parameter-adapted devices, because their basic parameters are not met, do not need to participate in subsequent detailed evaluations. This process ensures the relevance and effectiveness of the evaluation, allowing the final conversion performance coefficient to measure the device's adaptation quality to the signal source conversion requirements, and providing key quantitative performance basis for selecting the optimal conversion device.

[0048] The parameter matching device among the candidate conversion devices is obtained by comparing the performance parameters of the radio frequency signal source with the conversion performance parameters of the candidate conversion device. The specific steps include: The performance parameters of the radio frequency signal source are compared with the conversion performance parameters of the candidate conversion device; If the conversion performance parameters of the candidate conversion device match the performance parameters of the radio frequency signal source, then the candidate conversion device is recorded as a parameter adaptation device.

[0049] This application first clarifies the performance index parameters required for the conversion of radio frequency signal sources and the conversion performance parameters of the candidate conversion device itself. The performance index parameters include sampling rate requirements, quantization requirements, signal-to-noise ratio requirements, and the expected load of the device. The conversion performance parameters are the actual sampling rate, quantization accuracy, signal-to-noise ratio level, and load capacity performance data that the device can achieve.

[0050] Only when all the conversion performance parameters of the candidate conversion device can match the performance parameters of the radio frequency signal source in the corresponding dimension will the candidate conversion device be marked as a parameter adaptation device.

[0051] Radio frequency signal analog-to-digital converter, including: Acquisition module: Acquires signal characteristic data and conversion requirement data from the radio frequency signal source; and acquires parameter data from the radio frequency signal analog-to-digital converter. Processing module: Processes and analyzes signal feature data to obtain the signal fluctuation range corresponding to the radio frequency signal source; Matching module: Based on parameter data, obtain the adaptation range of the radio frequency signal analog-to-digital converter, and perform range matching based on the adaptation range and signal fluctuation range to obtain the candidate conversion device corresponding to the radio frequency signal source; The first analysis module processes and analyzes the signal change trajectory of the radio frequency signal source to obtain the adaptation trajectory coefficients corresponding to the candidate conversion device. The second analysis module extracts the conversion performance parameters of the candidate conversion devices and sets the performance index parameters of the RF signal source based on the conversion requirement data; it processes and analyzes the performance index parameters and the conversion performance parameters of the candidate conversion devices to obtain the conversion performance coefficients corresponding to the candidate conversion devices. Calculation module: Calculates the comprehensive conversion coefficients corresponding to the candidate conversion devices based on the adaptive trajectory weights and coefficients; Selected module: Based on the comprehensive conversion coefficient, obtain the radio frequency signal analog-to-digital converter corresponding to the radio frequency signal source, and perform analog-to-digital conversion on the radio frequency signal source based on the radio frequency signal analog-to-digital converter.

[0052] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0053] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence 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 cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; 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; and these 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 analog-to-digital conversion method, characterized in that, The method includes the following steps: Acquire signal characteristic data and conversion requirement data of the radio frequency signal source; and acquire parameter data of the radio frequency signal analog-to-digital converter. The signal fluctuation range corresponding to the radio frequency signal source is obtained by processing and analyzing the signal characteristic data; The adaptation range of the radio frequency signal analog-to-digital converter is obtained based on the parameter data, and the candidate converter corresponding to the radio frequency signal source is obtained by range matching based on the adaptation range and the signal fluctuation range. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained by processing and analyzing the signal change trajectory of the radio frequency signal source. Extract the conversion performance parameters of the candidate conversion devices, and set the performance index parameters of the radio frequency signal source according to the conversion requirement data; process and analyze the performance index parameters and the conversion performance parameters of the candidate conversion devices to obtain the conversion performance coefficients corresponding to the candidate conversion devices; The comprehensive conversion coefficients corresponding to the candidate conversion devices are obtained based on the adaptation trajectory weights and adaptation trajectory coefficients. The radio frequency signal analog-to-digital converter corresponding to the radio frequency signal source is obtained based on the comprehensive conversion coefficient, and the radio frequency signal of the radio frequency signal source is converted into analog-to-digital based on the radio frequency signal analog-to-digital converter.

2. The radio frequency signal analog-to-digital conversion method according to claim 1, characterized in that, It also includes the following steps: The received radio frequency signal is divided into multiple sub-band signals. The signal strength of each sub-band signal is detected. Sub-band signals with signal strength greater than or equal to a preset strength threshold are identified as signals to be converted. If the signals to be converted are correlated signals with spectral overlap, the main conversion signal and the auxiliary conversion signal are selected from the signals to be converted. The analog-to-digital conversion parameters of the main conversion signal are determined based on historical conversion data and the signal parameters of the main conversion signal to obtain the main conversion parameter value. The related feature data to be converted to which the main conversion signal belongs are statistically analyzed. The spectral interference range generated by the main conversion signal after analog-to-digital conversion is determined based on historical conversion data and the related feature data to be converted to obtain the interference range value. Based on the signal parameters of the auxiliary conversion signal, the analog-to-digital conversion parameters that the auxiliary conversion signal needs to be performed are determined to obtain the auxiliary conversion parameter values. Based on the interference range value, the actual signal frequency band range that the auxiliary conversion signal needs to be converted is predicted to obtain the preprocessed auxiliary conversion range one. Based on the preprocessed auxiliary conversion range one and the auxiliary conversion parameter values, the analog-to-digital conversion scheme one is formulated. The difference between the main conversion parameter value and the original parameter value of the main conversion signal is calculated to obtain the preprocessed main conversion difference. Based on the preprocessed main conversion difference, the actual signal frequency range that needs to be converted from analog to digital is determined to obtain the preprocessed main conversion range. Based on the preprocessed main conversion range and the main conversion parameter value, the second analog-to-digital conversion scheme is formulated.

3. The radio frequency signal analog-to-digital conversion method according to claim 1, characterized in that, The process of processing and analyzing signal characteristic data to obtain the signal fluctuation range corresponding to the radio frequency signal source includes the following steps: The signal change trajectory of the radio frequency signal source is generated based on the signal characteristics of the radio frequency signal source during the switching period; Obtain the signal parameter values ​​of each trajectory point in the signal change trajectory, and determine the signal fluctuation range corresponding to the radio frequency signal source based on the signal parameter values.

4. The radio frequency signal analog-to-digital conversion method according to claim 3, characterized in that, Based on the aforementioned adaptation range and signal fluctuation range, range matching is performed to obtain the candidate conversion device corresponding to the radio frequency signal source, specifically as follows: If the adaptation range of the radio frequency signal analog-to-digital converter includes the signal fluctuation range of the radio frequency signal source, then the radio frequency signal analog-to-digital converter is recorded as the candidate converter corresponding to the radio frequency signal source.

5. The radio frequency signal analog-to-digital conversion method according to claim 4, characterized in that, The process of processing and analyzing the signal variation trajectory of the radio frequency signal source to obtain the adaptation trajectory coefficients corresponding to the candidate conversion device includes the following steps: The signal adaptation trajectory between the candidate conversion device and the radio frequency signal source is obtained based on the signal change trajectory of the radio frequency signal source. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained based on the signal adaptation trajectory.

6. The radio frequency signal analog-to-digital conversion method according to claim 5, characterized in that, The adaptation trajectory coefficients of the candidate conversion device are obtained based on the signal adaptation trajectory, specifically including the following steps: A signal adaptation range is pre-set, and each signal adaptation range corresponds to an adaptation weight. Based on the inclusion relationship between signal adaptation degree and signal adaptation interval in the signal adaptation trajectory, the signal adaptation trajectory is divided into at least one segmented signal adaptation trajectory; The segmented signal adaptation trajectory corresponds to the signal adaptation interval, and the adaptation weight corresponding to the signal adaptation interval is recorded as the target adaptation weight of the segmented signal adaptation trajectory. The adaptation trajectory coefficients corresponding to the candidate conversion device are obtained based on the segmented signal adaptation trajectory and the target adaptation weight.

7. The radio frequency signal analog-to-digital conversion method according to claim 6, characterized in that, Extracting the conversion performance parameters of the candidate conversion devices and setting the performance parameters of the radio frequency signal source based on the conversion requirement data, specifically includes the following steps: Extract the sampling rate parameters, quantization parameters, signal-to-noise ratio parameters, and device load capacity of the candidate conversion device; Based on the conversion requirement data, the conversion signal type and conversion data volume of the radio frequency signal source are obtained; The performance parameters of the radio frequency signal source are set according to the type of converted signal and the amount of converted data; The performance parameters include the sampling rate requirement, quantization requirement, signal-to-noise ratio requirement, and expected load of the device for the radio frequency signal source.

8. The radio frequency signal analog-to-digital conversion method according to claim 7, characterized in that, The conversion performance coefficients of the candidate converters are obtained by processing and analyzing the performance index parameters and the conversion performance parameters of the candidate converters. This process includes the following steps: Pre-set performance indicator weights; wherein, the performance indicator weights include sampling rate weight, quantization status weight, signal-to-noise ratio weight, and load adaptation weight; The performance parameters of the radio frequency signal source are compared with the conversion performance parameters of the candidate conversion device to obtain the parameter matching device in the candidate conversion device. Based on the sampling rate weights, sampling rate requirement parameters, and sampling rate parameters of the parameter adapter, the sampling rate coefficients of the parameter adapter are obtained; based on the quantization status weights, quantization status requirement parameters, and quantization status parameters of the parameter adapter, the quantization status coefficients of the parameter adapter are obtained. The signal-to-noise ratio coefficient of the parameter adapter is obtained based on the signal-to-noise ratio weight, the signal-to-noise ratio requirement parameter, and the signal-to-noise ratio parameter of the parameter adapter; the load adaptation coefficient of the parameter adapter is obtained based on the load adaptation weight, the load requirement parameter, and the load parameter of the parameter adapter. The conversion performance coefficients of the candidate conversion devices are obtained based on the sampling rate coefficient, quantization condition coefficient, signal-to-noise ratio coefficient, and load adaptation coefficient. If the candidate conversion device is a parameter adaptation device, then the candidate conversion device has a conversion performance coefficient; if the candidate conversion device is not a parameter adaptation device, then the candidate conversion device does not have a conversion performance coefficient.

9. The radio frequency signal analog-to-digital conversion method according to claim 8, characterized in that, The parameter matching device among the candidate conversion devices is obtained by comparing the performance parameters of the radio frequency signal source with the conversion performance parameters of the candidate conversion device. The specific steps include: The performance parameters of the radio frequency signal source are compared with the conversion performance parameters of the candidate conversion device; If the conversion performance parameters of the candidate conversion device correspond to and match the performance parameters of the radio frequency signal source, then the candidate conversion device is denoted as a parameter adaptation device.

10. A radio frequency signal analog-to-digital converter, applied to the radio frequency signal analog-to-digital conversion method according to any one of claims 1-9, characterized in that, include: Acquisition module: Acquires signal characteristic data and conversion requirement data from the radio frequency signal source; and acquires parameter data from the radio frequency signal analog-to-digital converter. Processing module: Processes and analyzes signal feature data to obtain the signal fluctuation range corresponding to the radio frequency signal source; Matching module: Based on parameter data, obtain the adaptation range of the radio frequency signal analog-to-digital converter, and perform range matching based on the adaptation range and the signal fluctuation range to obtain the candidate conversion device corresponding to the radio frequency signal source; The first analysis module processes and analyzes the signal change trajectory of the radio frequency signal source to obtain the adaptation trajectory coefficients corresponding to the candidate conversion device. The second analysis module extracts the conversion performance parameters of the candidate conversion devices and sets the performance index parameters of the radio frequency signal source based on the conversion requirement data. The conversion performance coefficients of the candidate conversion devices are obtained by processing and analyzing the performance index parameters and the conversion performance parameters of the candidate conversion devices. Calculation module: Calculates the comprehensive conversion coefficients corresponding to the candidate conversion devices based on the adaptive trajectory weights and coefficients; Selected module: Based on the comprehensive conversion coefficient, obtain the radio frequency signal analog-to-digital converter corresponding to the radio frequency signal source, and perform analog-to-digital conversion on the radio frequency signal source based on the radio frequency signal analog-to-digital converter.

Images