A sub-1g radio frequency front-end parameter adjustment system based on RF energy detection

Abstract

The application discloses a Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection, and relates to the technical field of radio frequency chips.The system comprises a decision generation module, which performs adjustment feasibility judgment and function conflict screening on a radio frequency front-end parameter set according to a parameter state transition mode, constructs an accessible parameter decision space, checks the parameter collaborative executability and function path consistency of the radio frequency front-end parameter set in the accessible parameter decision space, and generates a front-end parameter adjustment scheme.The application performs joint consistency discrimination on an energy credible level and an abnormal state feature, and simultaneously performs margin constraint decision based on a parameter mapping capability and a state transition mode, thereby reducing the frequent oscillation and mis-triggering probability of the radio frequency front-end parameters of the radio frequency chip in a Sub-1G scenario, and realizing controllable migration, limited adjustment and overall performance stability improvement of the radio frequency front-end parameters in a complex Sub-1G communication environment.

Description

Technical Field

[0001] This invention relates to the field of radio frequency chip technology, and in particular to a Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection. Background Technology

[0002] With the rapid development of low-power wide-area network communication, IoT sensing networks, and long-distance wireless meter reading, monitoring, and control applications, wireless communication technology operating at Sub-1G has shown significant advantages in terms of coverage distance, penetration capability, and power consumption control. Around the Sub-1G wireless link, the radio frequency (RF) chip, as a core component in wireless terminals and base station equipment, typically integrates multiple RF front-end functions such as transmit power control, receive gain adjustment, front-end attenuation configuration, bandwidth or filter selection, and automatic gain control. Its parameter configuration directly determines the transmission reliability, spectrum utilization efficiency, and energy consumption level of the wireless link. Existing RF chips and their supporting equipment generally use register configuration tables or predefined ranges to complete RF front-end parameter settings, and trigger parameter adjustments through link quality indicators or protocol layer feedback.

[0003] However, existing technologies still have some shortcomings. Most RF front-end parameter adjustment schemes only focus on instantaneous energy detection results or single link quality feedback, without conducting layered evaluation of the reliability of energy observation data, nor combining the abnormal behavior patterns implied in the transmit and receive frame interaction feedback. This makes it easy to trigger erroneous adjustments under conditions of sudden interference, noise fluctuations, or short-term anomalies, thereby causing frequent oscillations of RF chip parameters and affecting equipment stability. Existing technologies usually take independent parameters as adjustment objects, lacking analysis mechanisms for the linkage relationship between RF front-end parameters, conflicting action paths, and the impact of overall parameter state migration. They cannot effectively constrain the adjustment amplitude and direction in multi-parameter collaborative adjustment scenarios, and are prone to the problem that optimizing one parameter may lead to the degradation of other performance indicators. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection to solve the problems of misadjustment of radio frequency chip parameters and easy degradation of transmission performance.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: This invention provides a Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection, comprising: The energy trust module collects RF energy observations, transmit / receive frame interaction feedback information, and RF front-end configuration data; it divides the trust levels of RF energy observations and performs rule-based judgments; and outputs effective energy state quantities. The abnormal consistency module extracts the abnormal state features of the interactive feedback information of the transmit and receive frames, performs joint consistency judgment on the abnormal state features and the effective energy state quantity, and generates the transmission adjustment indication quantity. The parameter mapping module parses the RF front-end configuration data in a structured manner, forms an RF front-end parameter set, calculates the parameter mapping capability of the RF front-end parameter set, and generates RF performance status variables. The margin migration module evaluates the allowable disturbance range of RF performance state quantities and performs joint constraint integration to generate RF parameter adjustment margins. It then performs a matching degree analysis between the RF parameter adjustment margins and the transmission regulation indication quantities to generate parameter state migration modes. The decision generation module performs feasibility analysis and conflict elimination for the adjustment of the RF front-end parameter set based on the parameter state transition mode, constructs a reachable parameter decision space, verifies the parameter coordination executability and action path consistency of the RF front-end parameter set within the reachable parameter decision space, and generates a front-end parameter adjustment scheme.

[0007] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the specific steps for outputting the effective energy state quantity are as follows: Identify the energy distribution pattern of RF energy observations within adjacent transmit and receive time segments, perform trusted hierarchy mapping, and generate trusted energy labels; Extract the interpretation conditions of the energy trust label and perform regularized and consistent integration to generate effective energy state quantities.

[0008] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the specific steps for extracting the abnormal state features of the transmit / receive frame interaction feedback information are as follows: By parsing at the field level, the feedback fields of the send and receive frame interaction feedback information are extracted and sorted in chronological order to form a sequence of send and receive interaction results; Statistical analysis is performed on the state change patterns between adjacent interaction results in the sequence of transmit and receive interaction results to form a feature set of transmit and receive interaction changes. Perform anomaly pointing mapping and aggregation modeling on the feature set of changes in send and receive interactions to generate abnormal state features.

[0009] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the specific steps for generating a transmission regulation indication by jointly determining the consistency of abnormal state characteristics and effective energy state quantities are as follows: By aligning the abnormal state characteristics with the effective energy state quantities with time window consistency, a joint state representation set is constructed. By analyzing the correlation consistency, the state combination relationship of the joint state representation set is identified, and a state consistency discrimination result set is formed. Perform level mapping processing on the state consistency judgment result set to generate transmission adjustment indication.

[0010] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the specific steps for structured parsing of the radio frequency front-end configuration data to form a set of radio frequency front-end parameters are as follows: By breaking down the functional dimensions of the RF front-end configuration data, configurable control fields are obtained, and the position and direction of action of each configurable control field are marked to form the parameter action path; Based on the parameter action path, identify the independent adjustability and linkage constraint relationship of each configurable control field under different working states, and generate a parameter validity table; Select configurable control fields with independent transmission adjustment capabilities from the valid parameter table and perform structured encapsulation to form a set of RF front-end parameters.

[0011] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the specific steps for calculating the parameter mapping capability of the radio frequency front-end parameter set and generating radio frequency performance state quantities are as follows: Read the adjustable range boundaries and current configuration status of each RF front-end parameter in the RF front-end parameter set to form an adjustment margin; The performance response is generated by statistically analyzing the trends of RF transmit power stability, signal spectrum occupancy, and receiver decision sensitivity of each RF front-end parameter within the adjustable range. Based on the adjustment margin and performance response, the parameter mapping capability value of each RF front-end parameter is calculated, and then normalized and structured encapsulated to generate RF performance status quantities.

[0012] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the specific steps for evaluating the allowable perturbation range of radio frequency performance state quantities and performing joint constraint integration to generate radio frequency parameter adjustment margins are as follows. Based on the parameter mapping capability value, the range of influence of each RF front-end parameter on the RF performance state quantity under positive and negative small perturbation conditions is simulated to form the parameter perturbation interval. The performance bearing boundary ranges of RF transmit power stability, signal spectrum occupancy width, and receiver decision sensitivity are extracted from the RF performance state variables. These ranges are then compared and constrained with the parameter disturbance ranges item by item to generate RF parameter adjustment margins.

[0013] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the specific steps for performing a matching degree analysis between the radio frequency parameter adjustment margin and the transmission adjustment indication to generate a parameter state transition mode are as follows: By semantic decomposition, the adjustment trigger type, adjustment range, and number of adjustment objects in the transmission adjustment indication are extracted to form adjustment constraints; The RF parameter adjustment margins and adjustment constraints of each RF front-end parameter are subjected to constraint alignment analysis and migration trigger interpretation to generate parameter state migration modes.

[0014] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the steps of performing adjustment feasibility analysis and conflict elimination on the radio frequency front-end parameter set according to the parameter state transition mode, and constructing a reachable parameter decision space, are as follows: Based on the parameter state transition mode, the risk of cross-domain adjustment of the state of each RF front-end parameter in the RF front-end parameter set is determined, and migration-restricted parameters are generated; Under the constraints of migration-restricted parameters, a feasibility screening of the RF front-end parameter set is performed to obtain adjustable parameters; Adjustable parameters are subjected to action path conflict screening and collaborative constraint integration to form an reachable parameter decision space.

[0015] As a preferred embodiment of the Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection described in this invention, the steps for verifying the parameter coordination executability and action path consistency of the radio frequency front-end parameter set within the reachable parameter decision space, and generating a front-end parameter adjustment scheme, are as follows: By acquiring the linkage dependency and mutual exclusion control relationship between the RF front-end parameters, constraint convergence processing is performed on the reachable parameter decision space to generate a cooperative reachable subspace. Based on the corresponding position and direction of action of the RF front-end parameters in the RF front-end configuration data, verify the consistency of the action path of each RF front-end parameter in the cooperative reachable subspace, and obtain the set of action parameter combinations. By combining the RF parameter adjustment margin, the adjustment direction and adjustment range of each RF front-end parameter in the set of action parameter combinations are subject to boundary constraints, thereby generating a front-end parameter adjustment scheme.

[0016] The beneficial effects of this invention are as follows: by performing joint consistency discrimination based on energy reliability level and abnormal state characteristics, the frequent oscillation and false triggering probability of RF front-end parameters of RF chips in Sub-1G scenarios are reduced, and the stability and reliability of adjustment decisions are improved; simultaneously, margin constraint decisions are made based on parameter mapping capability and state transition mode, which effectively prevents the reverse degradation of other performance indicators caused by the optimization of a certain parameter, and realizes the controllable migration, restricted adjustment and overall stable performance improvement of RF front-end parameters in complex Sub-1G communication environments. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of a Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection.

[0019] Figure 2 This is a flowchart for outputting effective energy state variables.

[0020] Figure 3 A flowchart for generating transmission regulation indicators.

[0021] Figure 4 A flowchart generated for adjusting front-end parameters. Detailed Implementation

[0022] 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.

[0023] 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.

[0024] Secondly, the term "one 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 in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4This is one embodiment of the present invention, which provides a Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection, including the following steps: The energy trust module collects RF energy observations, transmit / receive frame interaction feedback information, and RF front-end configuration data. It divides the trust levels of RF energy observations and performs rule-based judgments, outputting effective energy state quantities.

[0026] Identify the energy distribution pattern of RF energy observations within adjacent transmit and receive time segments, perform trusted hierarchy mapping, and generate trusted energy labels.

[0027] It should be noted that RF (radio frequency) energy observations are energy-related data collected during the operation of the RF front-end (a set of wireless communication frequency bands with operating frequencies below 1 GHz), including received signal strength indication, energy integral, preamble energy, and noise floor estimate. RF energy observations are directly obtained by the RF front-end receiving link in scanning, listening, or receiving states through energy detection and statistical processing. Transceiver frame interaction feedback information is feedback data formed after the RF link completes the transmit and receive frame interaction, including frame reception success identifier, frame verification result, retransmission count, and acknowledgment frame arrival identifier. Transceiver frame interaction feedback information is output by the transmit and receive frame interaction process itself at the end of frame processing. RF front-end configuration data is the configuration fields corresponding to the current operating configuration of the RF front-end, including transmit power configuration status, receive gain configuration status, front-end attenuation configuration status, bandwidth or filtering configuration status, and automatic gain control configuration status. RF front-end configuration data is obtained by reading the configuration register or configuration mapping table inside the RF chip.

[0028] RF energy observations are arranged sequentially according to sampling timestamps, and the output time corresponding to the end of each frame processing in the transmit / receive frame interaction feedback information is used as the time segmentation reference point to divide continuous RF energy observations into multiple adjacent transmit / receive time segments. Within each transmit / receive time segment, the amplitude difference, the number of differences in sign, and the distribution of absolute differences between adjacent sampled values ​​of RF energy observations are statistically analyzed as stability indicators. Within the transmit / receive time segment, RF energy observations are subjected to sliding statistics with a fixed number of sampling points to obtain the energy mean and energy variance within the sliding window to identify concentrated energy fluctuation intervals. Furthermore, the energy mean values ​​corresponding to adjacent transmit / receive time segments are compared to obtain cross-segment continuity indicators of energy changes. Based on the stability indicators, concentrated energy fluctuation intervals, and cross-segment continuity indicators, the energy distribution pattern within each transmit / receive time segment is interpreted in a regularized manner, and the interpretation results are mapped to different credibility levels (the higher the stability indicators, concentrated energy fluctuation intervals, and cross-segment continuity indicators, the higher the credibility level), and a unique energy credibility label is generated for the RF energy observations corresponding to each transmit / receive time segment.

[0029] Extract the interpretation conditions of the energy trust label and perform regularized and consistent integration to generate effective energy state quantities.

[0030] It should be noted that the stability index, energy fluctuation concentration interval determination result, and cross-segment continuity determination result corresponding to the energy credibility marker are used as interpretation conditions. Consistency comparison is performed on the interpretation conditions of different RF energy observation items within the same transmission and reception time segment to identify cases where the interpretation results are completely consistent, partially consistent, or conflicting. The interpretation results are then integrated according to the consistency level. For cases of complete consistency, the energy state is directly confirmed. For cases of partial consistency, interpretation results with higher credibility levels (such as above the mean) are retained. For cases of conflicting results, downgrading and merging are performed to eliminate instability determination. The interpretation results after regular integration are encapsulated into effective energy state quantities that correspond one-to-one with the corresponding transmission and reception time segments.

[0031] The abnormal consistency module extracts the abnormal state features of the transmitted and received frame interaction feedback information, performs joint consistency judgment on the abnormal state features and the effective energy state quantity, and generates the transmission adjustment indication quantity.

[0032] By parsing at the field level, feedback fields of the send and receive frame interaction feedback information are extracted and sorted in chronological order to form a sequence of send and receive interaction results.

[0033] It should be noted that the frame reception success identifier, frame verification result, retransmission count, and acknowledgment frame arrival identifier in each frame interaction feedback information are located and extracted one by one. During the extraction process, the timestamp output by the frame interaction feedback information at the end of frame processing is used as the unique time index. The feedback fields extracted under the same time index are combined and encapsulated to form a single frame interaction result record. All frame interaction result records are arranged continuously in time to obtain the frame interaction result sequence.

[0034] The state change patterns between adjacent interaction results in the sequence of transmit and receive interaction results are statistically analyzed to form a feature set of transmit and receive interaction changes.

[0035] It should be noted that in the sequence of transmit and receive interaction results, adjacent transmit and receive interaction result records are read one by one in chronological order and a field-by-field comparison is performed to identify the changes in success and failure status, verification pass and fail status, retransmission count increase and decrease status, and response arrival and missing status between two adjacent transmit and receive interaction result records. For each pair of adjacent transmit and receive interaction result records, the change form of the feedback field status from the previous adjacent transmit and receive interaction result record to the next adjacent transmit and receive interaction result record is encoded and described to obtain the change items representing state maintenance, state reversal, or state enhancement. All change items are combined and summarized to form a state change pattern, and the state change patterns corresponding to each time position are collected to form a transmit and receive interaction change feature set.

[0036] Perform anomaly pointing mapping and aggregation modeling on the feature set of changes in send and receive interactions to generate abnormal state features.

[0037] It should be noted that for each state change pattern in the transmit / receive interaction change feature set, the abnormal pointing type corresponding to the state change pattern is determined based on the change direction of the frame reception success flag, the change of the frame verification result from pass to failure or from failure to pass, the increase or decrease trend of the retransmission count, and the appearance or absence of the acknowledgment frame arrival flag. State change patterns with the same abnormal pointing type in adjacent time segments are aggregated and merged, and the frequency of occurrence, the length of continuous occurrence, and the duration across time segments are statistically summarized to form abnormal state features.

[0038] It should also be noted that the types of anomalies include reception reliability anomalies, link stability anomalies, acknowledgment timing anomalies, verification consistency anomalies, and multi-factor composite anomalies. Among them, reception reliability anomalies are triggered when the frame reception success flag changes from success to failure, or when the frame verification result changes from pass to fail; link stability anomalies are triggered when the retransmission count shows a continuous increase or a sudden increase in adjacent interaction results; acknowledgment timing anomalies are triggered when the acknowledgment frame arrival flag changes from present to missing, or shows intermittent missingness in continuous interaction results; verification consistency anomalies are triggered when the frame verification result shows frequent reversals or irregular changes in adjacent interaction results; and multi-factor composite anomalies are formed when at least two types of anomalies occur simultaneously in the same or adjacent time segments.

[0039] By aligning the abnormal state characteristics with the effective energy state quantities through a time window consistency, a joint state representation set is constructed.

[0040] It should be noted that the timestamp information recorded in the abnormal state features and the corresponding transmission and reception time segments of the effective energy state quantity are read; the frame processing end time in the transmission and reception frame interaction feedback information is used as the time alignment reference to locate the effective energy state quantity within the corresponding transmission and reception time segment; the abnormal state features whose timestamps fall into the same transmission and reception time segment are paired with the effective energy state quantity to form a joint state record; all joint state records are combined and encapsulated to form a joint state representation set.

[0041] By analyzing the correlation consistency, the state combination relationship of the joint state representation set is identified, and a state consistency discrimination result set is formed.

[0042] It should be noted that each joint state record in the joint state representation set is read one by one and correlation consistency analysis is performed. This includes determining the correspondence between the anomaly type recorded in the anomaly state characteristics and the corresponding energy trust mark in the effective energy state quantity, identifying whether there are combinations of simultaneous anomalies, simultaneous normality, or only one side showing anomalies within the same transmission and reception time segment. When both sides show anomalies, it is determined to be a consistent state combination relationship; when only one side shows anomalies, it is determined to be a partially consistent state combination relationship; and when neither side shows anomalies, it is determined to be an inconsistent state combination relationship. The state combination relationships corresponding to each correlation consistency analysis result are recorded to form a state consistency discrimination result set.

[0043] Perform level mapping processing on the state consistency judgment result set to generate transmission adjustment indication.

[0044] It should be noted that the various state combination relationships recorded in the state consistency judgment result set are read one by one, and the various state combination relationships are mapped to the corresponding transmission adjustment levels. Among them, the consistent state combination relationship is mapped to the high intensity adjustment indication, the partially consistent state combination relationship is mapped to the medium intensity adjustment indication, and the inconsistent state combination relationship is mapped to the low intensity or hold adjustment indication. The transmission adjustment level after the level mapping is completed is combined and encapsulated with the corresponding transmission and reception time segment to form the transmission adjustment indication quantity.

[0045] The parameter mapping module parses the RF front-end configuration data in a structured manner, forms an RF front-end parameter set, calculates the parameter mapping capability of the RF front-end parameter set, and generates RF performance status variables.

[0046] By breaking down the functional dimensions of the RF front-end configuration data, configurable control fields are obtained, and the position and direction of action of each configurable control field are marked to form the parameter action path.

[0047] It should be noted that the configuration fields recorded in the RF front-end configuration data are decomposed according to their corresponding functional categories. The functional categories are distinguished based on the direct relationship between the configuration fields and different processing stages in the RF signal processing flow. The processing stages include transmit power adjustment, receive gain control, front-end attenuation adjustment, signal bandwidth or filter selection, and automatic gain control adjustment. For each decomposed configuration field, the corresponding position for RF signal processing is determined based on the register mapping position or configuration mapping table index position in the RF front-end configuration data. The direction of the configuration field's effect on the corresponding processing stage is marked as enhancement, suppression, or limitation. The functional category, position, and direction of the configuration field are associated and encapsulated to obtain the parameter action path.

[0048] Based on the parameter action path, identify the independent adjustability and linkage constraint relationship of each configurable control field under different working states, and generate a parameter validity table.

[0049] It should be noted that the function category, position, and direction of each configuration field recorded in the parameter action path are read, and the available value range of each configuration field under different working states is located in the RF front-end configuration data. Under the same working state, configuration fields with the same position are compared item by item. By judging whether the change of the configuration field value will synchronously affect the output state of the processing link corresponding to other configuration fields, the linkage constraint relationship between configuration fields is identified. Configuration fields without linkage constraint relationship and whose value change only affects the output state of their corresponding processing link are marked as having independent adjustability and given a unique independent adjustability mark. The constraint association object and constraint direction of the configuration fields with linkage constraint relationship are recorded. The independent adjustability marks and linkage constraint relationships of each configuration field are structured and organized to form a parameter validity table.

[0050] Select configurable control fields with independent transmission adjustment capabilities from the valid parameter table and perform structured encapsulation to form a set of RF front-end parameters.

[0051] It should be noted that the independent adjustability flags and linkage constraint information corresponding to each configuration field recorded in the parameter validity table are read, and configuration fields with valid independent adjustability flags and no linkage constraint associations are selected. Furthermore, the function category, position, and direction of action recorded in the parameter action path are combined to confirm whether the selected configuration fields have a direct adjustment effect on the RF signal transmission process. The selected configuration fields with direct adjustment effects are regarded as configurable control fields with independent transmission adjustment capabilities, and are uniformly encapsulated together with the corresponding adjustable value range, function category, and direction of action to form an RF front-end parameter set.

[0052] Read the adjustable range boundaries and current configuration status of each RF front-end parameter in the RF front-end parameter set to form an adjustment margin.

[0053] It should be noted that the register mapping position or configuration mapping table index position corresponding to each RF front-end parameter in the RF front-end parameter set is read, and the available value range of the corresponding configuration field in the RF front-end configuration data is located as the adjustable range boundary; the current configuration state of the same configuration field is read in the RF front-end configuration data, and the remaining upward interval between the current configuration state and the upper boundary of the adjustable range and the remaining downward interval between the current configuration state and the lower boundary of the adjustable range are obtained respectively. The remaining upward interval and the remaining downward interval of each RF front-end parameter are encapsulated together as the adjustment margin of the RF front-end parameter.

[0054] The performance response is generated by statistically analyzing the trends of RF transmit power stability, signal spectrum occupancy, and receiver decision sensitivity of each RF front-end parameter within the adjustable range.

[0055] It should be noted that, within the adjustable range boundary corresponding to the adjustment margin, for each RF front-end parameter, the lower boundary of the adjustable range, the current configuration state, and the upper boundary of the adjustable range are used as configuration targets; the configuration fields corresponding to the RF front-end parameters in the RF front-end configuration data are set to the corresponding parameter value points, and the values ​​of the remaining configuration fields in the RF front-end configuration data remain unchanged during each configuration field setting process; the RF front-end configuration data obtained after each configuration field setting is used as the reference RF front-end configuration data; for each set of reference RF front-end configuration data, the RF energy observation and transmit / receive frame interaction feedback information within the same transmit / receive time segment are read, and the received signal strength indication value of the RF energy observation is compared with... The dispersion of the energy integral value characterizes the trend of change in the stability of the RF transmit power. The distribution and diffusion of the leading energy value and the noise floor estimate of the RF energy observations characterize the trend of change in the signal spectrum occupancy width. The improvement or degradation trend of the frame reception success identifier, frame verification result and retransmission count in the transmit and receive frame interaction feedback information characterizes the trend of change in the receiver decision sensitivity. The three sets of trend characterization results corresponding to all the reference RF front-end configuration data are differentially compared according to the value point order to obtain two trend directions and trend amplitudes: "lower boundary → current configuration state" and "current configuration state → upper boundary". The two trend directions and trend amplitudes are combined and encapsulated with the corresponding RF front-end parameters to generate the performance response quantity.

[0056] Based on the adjustment margin and performance response, the parameter mapping capability value of each RF front-end parameter is calculated, and then normalized and structured encapsulated to generate RF performance status quantities.

[0057] The expression for calculating the parameter mapping capability value is: ; in, Indicates the parameter mapping capability value. Indicates the remaining upward interval. Indicates the remaining downward interval. Indicates the upward performance response magnitude. Indicates the magnitude of the downlink performance response. This represents the stabilizing factor.

[0058] It should be noted that after obtaining the parameter mapping capability values ​​corresponding to each RF front-end parameter, the adjustment margin and corresponding performance response of all RF front-end parameters are read one by one. The parameter mapping capability values ​​are limited to the feasible range constrained by the adjustment margin to eliminate invalid results that exceed the physical adjustable boundary. The parameter mapping capability values ​​of all RF front-end parameters are normalized to a uniform scale to make different parameter mapping capability values ​​comparable within the same numerical range. The normalized parameter mapping capability values ​​are associated and combined with the corresponding RF front-end parameters one by one to obtain the RF performance state quantity.

[0059] It should also be noted that the upward performance response amplitude is the normalized dimensionless value of the combined change in RF transmit power stability, signal spectral occupancy, and receiver decision sensitivity when the current configuration is adjusted towards the upper boundary of the adjustable range; the downward performance response amplitude is the normalized dimensionless value of the combined change in RF transmit power stability, signal spectral occupancy, and receiver decision sensitivity when the current configuration is adjusted towards the lower boundary of the adjustable range; the stability factor is a very small positive value used to avoid the denominator being zero, and its value ranges from 0.0000001 to 0.000. 1. Where 0.0000001 corresponds to the zero denominator risk obtained by calculating the difference between the adjustable range boundary of the RF front-end parameter and the current configuration state when the remaining upward or downward interval in the adjustment margin is 0, which is used to avoid dividing by zero without changing the judgment result of "fitted boundary"; 0.0001 corresponds to the zero denominator risk obtained by calculating the difference between the adjustable range boundary of the RF front-end parameter and the current configuration state when the remaining upward or downward interval in the adjustment margin is 0, which is used to avoid dividing by zero without changing the judgment result of "fitted boundary".

[0060] The margin migration module evaluates the allowable disturbance range of RF performance state quantities and performs joint constraint integration to generate RF parameter adjustment margins. It then performs a matching degree analysis between the RF parameter adjustment margins and the transmission adjustment indication quantities to generate parameter state migration modes.

[0061] Based on the parameter mapping capability value, the range of influence of each RF front-end parameter on the RF performance state quantity under positive and negative small perturbation conditions is simulated to form the parameter perturbation interval.

[0062] It should be noted that, for each RF front-end parameter, within the adjustable range limited by the adjustment margin, a positive micro-perturbation and a negative micro-perturbation are applied respectively, centered on the current configuration state. The amplitude of the micro-perturbation is determined by the smallest resolvable adjustment step size in the adjustment margin. After each perturbation is applied, the change amplitude of the corresponding performance component in the RF performance state quantity due to all micro-perturbations is obtained according to the parameter mapping capability value, and the performance increment under the positive perturbation and the performance decrement under the negative perturbation are recorded respectively. The upper and lower bounds of the performance change obtained by the same RF front-end parameter under the positive and negative perturbation conditions are combined and encapsulated to form the parameter perturbation interval.

[0063] The performance bearing boundary ranges of RF transmit power stability, signal spectrum occupancy width, and receiver decision sensitivity are extracted from the RF performance state variables. These ranges are then compared and constrained with the parameter disturbance ranges item by item to generate RF parameter adjustment margins.

[0064] It should be noted that three performance components—RF transmit power stability, signal spectrum occupancy width, and receiver decision sensitivity—are extracted from the RF performance state variables. The upper and lower bounds of the target allowable interval corresponding to each performance component are read to obtain the performance bearing boundary interval. In the parameter disturbance interval, the upper and lower bounds of the changes in the three performance components caused by the RF front-end parameters under positive and negative small disturbances are read, and each is compared with the upper and lower bounds of the performance bearing boundary interval to determine whether a positive or negative small disturbance will cause any performance component to cross the performance bearing boundary interval. For directions with a risk of crossing the boundary, the corresponding number of allowable small disturbances is contracted according to the remaining distance from the performance bearing boundary interval to the boundary. The contracted number of allowable disturbances is mapped to the available positive or negative adjustment margin of the RF front-end parameters. All available adjustment margins are combined and encapsulated to generate the RF parameter adjustment margin.

[0065] By semantic decomposition, the adjustment trigger type, adjustment range, and number of adjustment objects in the transmission adjustment indication are extracted to form adjustment constraints.

[0066] It should be noted that the transmission regulation indication is regarded as a set of data items composed of several clearly defined indication fields. The content related to regulation is read and parsed field by field. This includes determining whether the regulation is triggered by energy anomaly, interactive anomaly, or a combination of both, based on the correspondence between the indication field values ​​and the abnormal state characteristics and effective energy state quantities, thus obtaining the regulation trigger type; reading the parameter index range or action segment identifier of the indication from the indication field that represents the regulation coverage area and matching it one-to-one with the parameter positions in the RF front-end parameter set to determine the regulation range; and counting the number of parameters clearly identified as participating in the regulation from the fields that represent the regulation scale, thus obtaining the number of regulation targets.

[0067] The following checks are performed on the legality of the adjustment trigger type, the range of adjustment, and the number of adjustment targets: The parameter index range or the segment identifier corresponding to the adjustment range is read, and the corresponding RF front-end parameter is located in the RF front-end parameter set. If there are unlocatable parameter indexes, parameter indexes exceeding the boundary of the RF front-end parameter set, or segment identifiers that do not correspond to any RF front-end parameters, the range legality check fails. When the adjustment trigger type is energy anomaly dominant, the adjustment range is checked to see if it falls within the parameter positions related to RF transmit power stability, receive gain control, or front-end attenuation adjustment. When the adjustment trigger type is interactive anomaly dominant, the adjustment range is checked to see if it falls within the parameter positions related to receive decision sensitivity, bandwidth or filter selection, or automatic gain control. When the adjustment trigger type is joint trigger, the adjustment range is checked to see if it simultaneously contains at least one energy adjustment-related parameter position and at least one interactive adjustment-related parameter position. If the correspondence is not satisfied, the type compatibility check fails.

[0068] Further perform quantity consistency verification: Based on the adjustment range, determine the corresponding number of RF front-end parameters in the RF front-end parameter set to obtain the actual mapping quantity. Compare the actual mapping quantity with the number of adjustment targets. When the actual mapping quantity is equal to the number of adjustment targets, the quantity consistency verification is passed, and the adjustment range and the number of adjustment targets remain unchanged. When the actual mapping quantity is greater than the number of adjustment targets, arrange the RF front-end parameters obtained from the actual mapping in the order of the parameter index corresponding to the adjustment range. Starting from the first RF front-end parameter in the sorting result, select the number of RF front-end parameters that are consistent with the number of adjustment targets in turn. Re-map the selected RF front-end parameters to the adjustment range, and remove the remaining RF front-end parameters that were not selected.

[0069] When the actual number of mapped objects is less than the number of objects subject to regulation, the actual number of mapped objects is used as the corrected number of objects subject to regulation. The regulation trigger type is then downgraded based on the corrected number of objects subject to regulation. Specifically, when the regulation trigger type is a common trigger, it is corrected to either energy anomaly-dominated or interaction anomaly-dominated. When the regulation trigger type is either energy anomaly-dominated or interaction anomaly-dominated, the corresponding transmission regulation indication is corrected to a hold regulation indication. If the corrected number of objects subject to regulation is greater than zero, the quantity consistency check is considered passed. If the corrected number of objects subject to regulation is equal to zero, the quantity consistency check is considered failed, and the corresponding transmission regulation indication is marked as an invalid regulation record.

[0070] The adjustment trigger type, adjustment scope, and number of adjustment objects that pass the scope validity check, type adaptability check, and quantity consistency check are jointly encapsulated to form adjustment constraints.

[0071] The RF parameter adjustment margins and adjustment constraints of each RF front-end parameter are subjected to constraint alignment analysis and migration trigger interpretation to generate parameter state migration modes.

[0072] It should be noted that the adjustable range, adjustable range, and upper limit of adjustable amplitude in the RF parameter adjustment margin are extracted; the adjustment range in the adjustment constraint is mapped to the target parameter index set in the RF front-end parameter set; for each RF front-end parameter in the target parameter index set, it is statistically determined whether the minimum adjustment amplitude required by the adjustment constraint is covered by the RF parameter adjustment margin; the number of RF front-end parameters in the target parameter index set that satisfy the condition of non-empty feasible range and coverage is aligned with the number of adjustment targets to obtain the alignment conclusion of "insufficient coverage", "matched coverage", or "excessive coverage"; based on the alignment conclusion and the adjustment trigger type, migration trigger interpretation is performed, with insufficient coverage as the parameter state adjustment mode, matched coverage and adjustment trigger type of co-trigger as the parameter state migration mode, and excessive coverage and adjustment trigger type of interaction anomaly as the parameter state migration mode; all migration mode results obtained from the migration trigger interpretation are encapsulated into parameter state migration modes.

[0073] The decision generation module performs feasibility analysis and conflict elimination for the adjustment of the RF front-end parameter set based on the parameter state transition mode, constructs a reachable parameter decision space, verifies the parameter coordination executability and action path consistency of the RF front-end parameter set within the reachable parameter decision space, and generates a front-end parameter adjustment scheme.

[0074] Based on the parameter state transition mode, the risk of cross-domain adjustment of the state of each RF front-end parameter in the RF front-end parameter set is determined, and migration-restricted parameters are generated.

[0075] It should be noted that when the parameter state transition mode indicates that the target parameter index set involves different functional categories, the RF front-end parameters are grouped and paired according to the principle of the same position of action within the target parameter index set. Cross-domain risk assessment is performed on each pair of paired parameter items. Cross-domain risk assessment is completed by comparing whether the action directions are opposite and whether there is an overlapping interval between the adjustable range boundaries. Paired parameter items with opposite action directions and overlapping adjustable range boundaries are recorded as cross-domain high-risk parameter items. When the parameter state transition mode indicates that the target parameter index set involves only a single functional category, boundary risk assessment is performed on each RF front-end parameter within the target parameter index set. Boundary risk assessment is completed by comparing the relative size of the remaining upward interval and the remaining downward interval from the current configuration state to the adjustable range boundary. RF front-end parameters with significantly smaller remaining intervals are recorded as boundary high-risk parameter items. The parameter identifiers of cross-domain high-risk parameter items and boundary high-risk parameter items are aggregated and encapsulated to generate migration-restricted parameters.

[0076] Under the constraints of migration-restricted parameters, a feasibility screening of the RF front-end parameter set is performed to obtain adjustable parameters.

[0077] It should be noted that the parameter identifier recorded in the migration-restricted parameters is read, and the corresponding RF front-end parameter is located in the RF front-end parameter set. The matched RF front-end parameters are eliminated to obtain a subset of remaining RF front-end parameters. The adjustable range boundary and the current configuration state corresponding to the remaining subset of RF front-end parameters in the RF front-end parameter set are read, and the upward adjustment range from the current configuration state to the upper boundary of the adjustable range and the downward adjustment range from the current configuration state to the lower boundary of the adjustable range are determined respectively. The adjustment margin range corresponding to the RF front-end parameter identifier in the RF parameter adjustment margin is further read, and the interval inclusion relationship between the upward adjustment range and the downward adjustment range and the corresponding adjustment margin range is determined. When at least one interval in the upward adjustment range or the downward adjustment range satisfies the restriction condition of the RF parameter adjustment margin, the corresponding RF front-end parameter is determined to have feasible adjustment capability. The parameter identifiers of all RF front-end parameters with feasible adjustment capability are collected to form adjustable parameters.

[0078] Adjustable parameters are subjected to action path conflict screening and collaborative constraint integration to form an reachable parameter decision space.

[0079] It should be noted that the process involves reading each RF front-end parameter recorded in the adjustable parameters and locating its corresponding functional category, position, and direction in the parameter's action path. For RF front-end parameters with the same position but opposite or canceling action directions, a pairwise comparison is performed. By determining whether simultaneous adjustment would lead to uncertainty in the RF signal processing output direction or failure of the adjustment effect, combinations of RF front-end parameters with conflicting action paths are identified, and at least one RF front-end parameter is removed from the adjustable parameters. After completing the action path conflict screening, for the remaining RF front-end parameters, the linkage constraint relationships recorded in the parameter validity table are read. RF front-end parameters with linkage constraint relationships are jointly grouped according to the linkage constraint relationships to form coordinated adjustment parameters. The RF front-end parameters and coordinated adjustment parameters after action path conflict screening are uniformly structured and encapsulated to form an reachable parameter decision space.

[0080] By acquiring the linkage dependencies and mutual exclusion control relationships between RF front-end parameters, constraint convergence processing is performed on the reachable parameter decision space to generate a cooperative reachable subspace.

[0081] It should be noted that in the reachable parameter decision space, the parameter action path, action position, and action direction information corresponding to each RF front-end parameter are read one by one; the action positions marked in the parameter action paths of any two RF front-end parameters are compared to see if they point to the same RF signal processing stage, and the action directions are compared to see if there is a synchronous change or mutual cancellation relationship; when two RF front-end parameters can only maintain the stability of the RF signal processing result when they are in the same action position and adjusted simultaneously, it is recorded as a linkage dependency relationship; when two RF front-end parameters are adjusted simultaneously in the same action position or in adjacent processing stages, it will cause the RF signal processing result to conflict, exceed the limit, or fail, it is recorded as a mutual exclusion control relationship; the linkage dependency relationship and the mutual exclusion control relationship are used to perform constraint screening on each combination of RF front-end parameters in the reachable parameter decision space, eliminate the RF front-end parameter combinations that do not satisfy the linkage dependency relationship or violate the mutual exclusion control relationship, and gather the remaining RF front-end parameter combinations to form a cooperative reachable subspace.

[0082] Based on the corresponding position and direction of action of the RF front-end parameters in the RF front-end configuration data, verify the consistency of the action path of each RF front-end parameter in the cooperative reachable subspace, and obtain the set of action parameter combinations.

[0083] It should be noted that, according to the actual processing order of the RF signal in the RF front-end, the positions of each RF front-end parameter in the cooperative reachable subspace are compared sequentially to check for any overlapping, repetitive, or reversed positions. Simultaneously, the consistency of the action direction of each RF front-end parameter is determined to check for any situations where action directions cancel each other out, amplify each other, or cause deviations in the RF signal processing results. When there is no conflict in the order of action positions among all RF front-end parameters in a combination, and no inconsistencies or conflicts between action directions, the current RF front-end parameter combination is deemed to meet the action path consistency requirement. All RF front-end parameter combinations that meet the action path consistency requirement are recorded as action parameter combinations and aggregated to form an action parameter combination set.

[0084] By combining the RF parameter adjustment margin, the adjustment direction and adjustment range of each RF front-end parameter in the set of action parameter combinations are subject to boundary constraints, thereby generating a front-end parameter adjustment scheme.

[0085] It should be noted that, for each RF front-end parameter in the set of action parameter combinations, the remaining upward and downward intervals recorded in the RF parameter adjustment margin are used to determine the allowable adjustment direction of the RF front-end parameter under the current action parameter combination, and adjustment directions that exceed the boundary of the RF parameter adjustment margin are excluded; the remaining interval of the corresponding adjustment direction in the RF parameter adjustment margin is used as the amplitude constraint to limit the adjustment amplitude of the RF front-end parameter, thus obtaining the effective adjustment range of the RF front-end parameter under the current action parameter combination; after the adjustment direction of all RF front-end parameters in the action parameter combination has been determined and the adjustment amplitude boundary has been limited, the adjustment direction and adjustment amplitude range corresponding to each RF front-end parameter are combined and encapsulated to form a front-end parameter adjustment scheme.

[0086] In summary, this invention reduces the probability of frequent oscillations and false triggering of RF chip front-end parameters in Sub-1G scenarios by jointly determining consistency based on energy reliability level and abnormal state characteristics, thereby improving the stability and reliability of adjustment decisions. Simultaneously, it performs margin constraint decisions based on parameter mapping capabilities and state transition modes, effectively preventing the reverse degradation of other performance indicators caused by the optimization of a certain parameter, thus achieving controllable migration, restricted adjustment, and overall stable performance improvement of RF front-end parameters in complex Sub-1G communication environments.

[0087] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection, characterized in that: include, The energy trust module collects RF energy observations, transmit / receive frame interaction feedback information, and RF front-end configuration data; it divides the trust levels of RF energy observations and performs rule-based judgments; and outputs effective energy state quantities. The abnormal consistency module extracts the abnormal state features of the interactive feedback information of the transmit and receive frames, performs joint consistency judgment on the abnormal state features and the effective energy state quantity, and generates the transmission adjustment indication quantity. The parameter mapping module parses the RF front-end configuration data in a structured manner, forms an RF front-end parameter set, calculates the parameter mapping capability of the RF front-end parameter set, and generates RF performance status variables. The margin migration module evaluates the allowable disturbance range of RF performance state quantities and performs joint constraint integration to generate RF parameter adjustment margins. It then performs a matching degree analysis between the RF parameter adjustment margins and the transmission regulation indication quantities to generate parameter state migration modes. The decision generation module performs feasibility analysis and conflict elimination for the adjustment of the RF front-end parameter set based on the parameter state transition mode, constructs a reachable parameter decision space, verifies the parameter coordination executability and action path consistency of the RF front-end parameter set within the reachable parameter decision space, and generates a front-end parameter adjustment scheme.

2. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 1, characterized in that: The specific steps for outputting the effective energy state quantity are as follows: Identify the energy distribution pattern of RF energy observations within adjacent transmit and receive time segments, perform trusted hierarchy mapping, and generate trusted energy labels; Extract the interpretation conditions of the energy trust label and perform regularized and consistent integration to generate effective energy state quantities.

3. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 2, characterized in that: The specific steps for extracting the abnormal state features of the transmit and receive frame interaction feedback information are as follows. By parsing at the field level, the feedback fields of the send and receive frame interaction feedback information are extracted and sorted in chronological order to form a sequence of send and receive interaction results; Statistical analysis is performed on the state change patterns between adjacent interaction results in the sequence of transmit and receive interaction results to form a feature set of transmit and receive interaction changes. Perform anomaly pointing mapping and aggregation modeling on the feature set of changes in send and receive interactions to generate abnormal state features.

4. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 3, characterized in that: The specific steps for jointly determining the consistency between abnormal state characteristics and effective energy state quantities to generate a transmission regulation indication are as follows: By aligning the abnormal state characteristics with the effective energy state quantities with time window consistency, a joint state representation set is constructed. By analyzing the correlation consistency, the state combination relationship of the joint state representation set is identified, and a state consistency discrimination result set is formed. Perform level mapping processing on the state consistency judgment result set to generate transmission adjustment indication.

5. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 4, characterized in that: The structured parsing of the RF front-end configuration data forms an RF front-end parameter set. The specific steps are as follows: By breaking down the functional dimensions of the RF front-end configuration data, configurable control fields are obtained, and the position and direction of action of each configurable control field are marked to form the parameter action path; Based on the parameter action path, identify the independent adjustability and linkage constraint relationship of each configurable control field under different working states, and generate a parameter validity table; Select configurable control fields with independent transmission adjustment capabilities from the valid parameter table and perform structured encapsulation to form a set of RF front-end parameters.

6. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 5, characterized in that: The calculation of the parameter mapping capability of the RF front-end parameter set to generate RF performance state variables involves the following specific steps. Read the adjustable range boundaries and current configuration status of each RF front-end parameter in the RF front-end parameter set to form an adjustment margin; The performance response is generated by statistically analyzing the trends of RF transmit power stability, signal spectrum occupancy, and receiver decision sensitivity of each RF front-end parameter within the adjustable range. Based on the adjustment margin and performance response, the parameter mapping capability value of each RF front-end parameter is calculated, and then normalized and structured encapsulated to generate RF performance status quantities.

7. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 6, characterized in that: The process of evaluating the allowable perturbation range of the RF performance state quantities and performing joint constraint integration to generate RF parameter adjustment margins involves the following specific steps. Based on the parameter mapping capability value, the range of influence of each RF front-end parameter on the RF performance state quantity under positive and negative small perturbation conditions is simulated to form the parameter perturbation interval. The performance bearing boundary ranges of RF transmit power stability, signal spectrum occupancy width, and receiver decision sensitivity are extracted from the RF performance state variables. These ranges are then compared and constrained with the parameter disturbance ranges item by item to generate RF parameter adjustment margins.

8. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 7, characterized in that: The specific steps for performing a matching degree analysis between the RF parameter adjustment margin and the transmission adjustment indication to generate a parameter state transition mode are as follows: By semantic decomposition, the adjustment trigger type, adjustment range, and number of adjustment objects in the transmission adjustment indication are extracted to form adjustment constraints; The RF parameter adjustment margins and adjustment constraints of each RF front-end parameter are subjected to constraint alignment analysis and migration trigger interpretation to generate parameter state migration modes.

9. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 8, characterized in that: The step of performing feasibility analysis and conflict elimination for adjusting the RF front-end parameter set based on the parameter state transition mode, and constructing a reachable parameter decision space, is as follows: Based on the parameter state transition mode, the risk of cross-domain adjustment of the state of each RF front-end parameter in the RF front-end parameter set is determined, and migration-restricted parameters are generated; Under the constraints of migration-restricted parameters, a feasibility screening of the RF front-end parameter set is performed to obtain adjustable parameters; Adjustable parameters are subjected to action path conflict screening and collaborative constraint integration to form an reachable parameter decision space.

10. The Sub-1G radio frequency front-end parameter adjustment system based on RF energy detection as described in claim 9, characterized in that: Within the reachable parameter decision space, the parameter coordination executability and action path consistency of the RF front-end parameter set are verified, and a front-end parameter adjustment scheme is generated. The specific steps are as follows: By acquiring the linkage dependency and mutual exclusion control relationship between the RF front-end parameters, constraint convergence processing is performed on the reachable parameter decision space to generate a cooperative reachable subspace. Based on the corresponding position and direction of action of the RF front-end parameters in the RF front-end configuration data, verify the consistency of the action path of each RF front-end parameter in the cooperative reachable subspace, and obtain the set of action parameter combinations. By combining the RF parameter adjustment margin, the adjustment direction and adjustment range of each RF front-end parameter in the set of action parameter combinations are subject to boundary constraints, thereby generating a front-end parameter adjustment scheme.

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