2.4 G frequency band radio frequency link estimation method of wireless access point
By decomposing the RF link into functional units and performing quantitative parameter evaluation, the coupling problem between the RF performance evaluation system and the actual physical implementation is solved, enabling accurate prediction and optimization of RF link performance, shortening the design cycle and reducing costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TAICANG T&W ELECTRONICS CO LTD
- Filing Date
- 2026-01-22
- Publication Date
- 2026-05-05
AI Technical Summary
In existing technologies, the RF performance evaluation system lacks a dynamic coupling mechanism with the actual physical implementation, which makes it difficult to accurately quantify the attenuation tolerance, sensitivity threshold and radiation efficiency boundary of the RF link in the early stages of design. There are systematic deviations between simulation results and measured data, which prolongs the development cycle and increases the cost of hardware iteration.
By decomposing the RF link into functional units, collecting quantitative parameter indicators and inputting them into the RF link estimation table for comparative analysis, a performance difference report is generated, design defects are identified, and RF device selection or circuit board layout is optimized in a targeted manner, and a computable coupling model between the chip reference design and physical hardware parameters is established.
It achieves high-precision quantification and prediction of RF performance, reduces the number of trial and error attempts in design verification, shortens the development cycle, and reduces hardware iteration costs.
Smart Images
Figure CN121985363A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of radio frequency design technology for wireless access points, specifically to a method for estimating the 2.4G band radio frequency link of a wireless access point. Background Technology
[0002] When using Qualcomm MIAMI series chips to build 2.4GHz RF links for Wi-Fi 7 wireless access points, the core challenge in hardware design lies in the lack of a dynamic coupling mechanism between the RF performance evaluation system and the actual physical implementation. Traditional solutions relying on simulation toolchains, such as RF link simulation and impedance matching simulation, can build theoretical models, but they are essentially based on idealized parameters and static environmental assumptions. They cannot effectively map the actual impact of nonlinear variables such as differences in component selection, changes in PCB layout, and environmental disturbances on RF performance. Especially when evaluating scenarios such as the compatibility of RF front-end modules (FEMs) with filters, multi-link isolation budgets, and temperature drift effects, there are unpredictable systematic deviations between simulation results and measured data. This deviation makes it difficult to accurately quantify the attenuation tolerance, sensitivity threshold, and radiation efficiency boundary of the RF link in the early stages of design, forcing engineers to rely on repeated trial and error for design verification, significantly extending the development cycle and increasing hardware iteration costs.
[0003] Based on the above background, the technical problem to be solved by the present invention is: how to establish a radio frequency link evaluation model that can dynamically couple chip reference design data and actual physical hardware parameters, so as to quantify the combined influence of device selection, circuit layout and environmental variables on radio frequency performance with high precision, thereby realizing the prediction and optimization of link performance in the early stage of design. Summary of the Invention
[0004] This disclosure proposes a method for estimating the 2.4G band radio frequency link of a wireless access point, with the aim of overcoming at least one of the defects in the prior art.
[0005] To achieve the above objectives, the technical solution disclosed in this invention is as follows: According to one aspect of this disclosure, a method for estimating the 2.4 GHz frequency band radio frequency link of a wireless access point is provided, applied to wireless access point hardware employing a Qualcomm MIAMI series Wi-Fi 7 chip, the estimation method comprising the following steps: The radio frequency link is decomposed into functional units, including a common radio frequency matching module, a filter module, a radio frequency front-end module, and an antenna module; The quantitative parameters are collected according to the functional unit, and the quantitative parameters include link attenuation value and temperature characteristic index. The collected quantitative parameters are input into a preset RF link estimation table for comparative analysis, and a performance difference report is generated. Based on the performance difference report, design flaws can be identified and targeted optimizations can be made for RF device selection or circuit board layout.
[0006] Furthermore, the common RF matching module includes impedance matching elements and transmission line loss parameters, the filter module includes second-order filter insertion loss parameters at the receiver, the RF front-end module includes RF front-end chip gain and linearity parameters, and the antenna module includes antenna efficiency and radiation characteristic parameters.
[0007] Furthermore, the quantitative parameters include attenuation values for each transmit link, attenuation values for each receive link, multi-link operation isolation budget, high-temperature environment performance degradation values, and mass production consistency deviation values.
[0008] Furthermore, the RF link estimation table includes: The baseline parameter column stores Qualcomm reference design standard values; The proposal parameter column stores the measured values of the proposed solutions to be evaluated. The total radiated power budget field includes transmit power values for a specific wireless mode; The omnidirectional sensitivity budget field includes the receive sensitivity value for a specific wireless mode.
[0009] Furthermore, the total radiated power budget field includes the dual-stream transmit power value under the enhanced high throughput 20MHz bandwidth 0th order modulation and coding scheme mode, and the omnidirectional sensitivity budget field includes the dual-stream receive sensitivity value under the enhanced high throughput 40MHz bandwidth 11th order modulation and coding scheme mode.
[0010] Furthermore, the comparative analysis steps include: The parameters of the RF front-end module of the solution to be evaluated are compared with those of the benchmark solution. A longitudinal comparison of filter parameters under different circuit board layouts was conducted. Calculate the difference in radio frequency transmit power and the offset in receive sensitivity.
[0011] Furthermore, the calculation steps for the radio frequency transmit power difference value include: In the enhanced high-throughput 40MHz bandwidth 13th-order modulation and coding scheme mode, the transmit power value of the proposed scheme is subtracted from the corresponding value of the benchmark scheme, and a high-temperature degradation compensation value of -1 dB and a mass production deviation compensation value of -0.5 dB are superimposed.
[0012] Furthermore, the targeted optimization steps include: When the multi-link operation isolation budget is less than -52 dB, add an RF front-end shielding structure; When the receiver link attenuation is greater than -1.58 dB, adjust the circuit board impedance matching network; When the omnidirectional sensitivity budget exceeds -96.96 dBmW in the enhanced high-throughput 20MHz bandwidth 0th-order modulation and coding scheme mode, replace it with a low insertion loss filter.
[0013] Furthermore, the estimation method is performed early in the hardware design process to evaluate the following design variables: Compatibility relationship between different RF front-end module models and filter models; The influence coefficient of RF trace length variation on transmit link attenuation; The weight of the antenna placement location in relation to the total radiated power budget.
[0014] Furthermore, the verification steps for the compatibility relationship include: Calculate the interference power difference between a specific RF front-end module and a reference filter combination; Verify that a specific RF front-end module meets the transmit power threshold of 22.18 dBmW under an enhanced high-throughput 40MHz bandwidth 13th-order modulation and coding scheme. Output a list of RF front-end modules and filter combinations that meet an omnidirectional sensitivity budget of less than or equal to -95.87 dBmW.
[0015] This invention, by constructing a radio frequency link quantization evaluation framework based on functional unit decomposition, has the following beneficial effects: By breaking down the RF link into four functional units—common RF matching, filters, RF front-end, and antennas—and extracting key quantitative parameters such as temperature characteristics, attenuation values, and isolation budgets for each unit, the data barrier between Qualcomm's chip reference model and actual hardware parameters is broken down. Based on a pre-defined RF link estimation table, which includes a comparison mechanism between the standard values of the benchmark scheme and the measured values of the scheme to be evaluated, a multi-dimensional correlation mapping is established in core budget fields such as total radiated power (TRP) and omnidirectional sensitivity (TIS). This enables a calculable data coupling relationship between the chip's theoretical performance indicators and physical variables such as PCB layout and component selection.
[0016] Furthermore, this invention utilizes performance difference reports to accurately locate link defects, such as degraded isolation across multiple links and excessive attenuation in the receiving link. It then employs targeted optimization strategies, such as supplementing shielding structures and reconstructing impedance matching networks, to form an "evaluation-diagnosis-correction" mechanism. This mechanism transforms traditional trial-and-error design into a data-driven decision-making process, particularly addressing latent risks such as high-frequency environmental degradation (e.g., high-temperature performance degradation) and mass production consistency deviations (e.g., cumulative effects of device tolerances). It achieves dynamic correction of the link budget through quantified superposition of compensation values.
[0017] Furthermore, this invention predicts the compatibility boundaries between the RF front-end module and the filter in the early stages of hardware design using a compatibility matrix, and analyzes key design constraints such as the sensitivity coefficient of RF trace length to transmit attenuation and the weighted contribution of antenna layout to radiation efficiency. This capability enables engineers to predict the performance limits of different combinations before prototype construction, fundamentally avoiding the risk of rework due to simulation deviations.
[0018] This invention creates a computable framework that transmits the abstract performance metrics of a chip reference design to the physical hardware implementation. Its value lies not only in bridging the gap between simulation and actual measurement, but also in transforming RF link performance into quantifiable and tunable design variables through data modeling, thereby achieving one-time design convergence of the hardware solution under the complex constraints of Wi-Fi 7 high-density RF systems.
[0019] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Attached Figure Description
[0020] Figure 1 This is a flowchart of the radio frequency link estimation method of the present invention. Detailed Implementation
[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0022] In embodiments of the present invention, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Rather, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.
[0023] The present invention provides the following preferred embodiments: Example 1: To address the lack of dynamic coupling between physical implementation and chip theoretical model in the early stages of RF link design for Wi-Fi 7 wireless access points in the 2.4GHz band, this example refines an RF link estimation method based on functional unit decomposition. This method establishes a quantifiable parameter mapping mechanism to create a closed-loop correlation between Qualcomm MIAMI series chip reference design data and actual hardware characteristics, thereby achieving accurate prediction of RF performance during the design phase. For example... Figure 1 As shown, the steps of the estimation method are as follows: S100: Decomposes the RF link into functional units, including a common RF matching module, a filter module, an RF front-end module, and an antenna module.
[0024] S200: Collects quantitative parameters by functional unit. The quantitative parameters include link attenuation value and temperature characteristic index.
[0025] S300: Input the collected quantized parameters into a preset RF link estimation table for comparative analysis and generate a performance difference report.
[0026] S400: Identifies design flaws based on performance difference reports and optimizes RF device selection or circuit board layout accordingly.
[0027] Specifically, during the functional unit decomposition and parameter acquisition process, the RF link is broken down into four types of functional units: Common RF matching module: covers the parameters of inductors, capacitors and resistors in impedance matching networks, as well as the RF loss characteristics of PCB transmission lines, vias and connectors; Filter module: Extracts the insertion loss and out-of-band rejection parameters of the second-order bandpass filter in the receiving path; RF front-end module: Quantifies the gain, linearity, and noise figure of the RF front-end chip; Antenna module: Collects antenna radiation efficiency and direction. Figure 1 Consistency and VSWR within the frequency band.
[0028] Furthermore, the following dynamic parameters are collected by functional unit: The signal attenuation value of each transmit link includes PCB trace loss and matching network loss; The signal attenuation value of each receiving link, plus the filter insertion loss and receiving path loss; Temperature characteristics include device performance degradation values under high-temperature environments and the range of consistency deviations between mass production batches.
[0029] Furthermore, during the construction and comparative analysis of the RF link estimation table, the RF link estimation table is pre-defined to include two-dimensional data fields: Reference parameter list: Stores standard values for Qualcomm's official reference design at 25°C, such as transmit link attenuation threshold of 1.5dB and receive link attenuation threshold of 1.5dB; Proposal Parameters: Enter the measured parameters of the solution to be evaluated, such as the transmit attenuation value of 0.92dB and the receive attenuation value of 1.37dB under a specific RF front-end module; Performance Budget Field: Defines the boundary conditions for the total radiated power budget and the omnidirectional sensitivity budget. For example, the total radiated power budget is related to the product of transmit power and antenna efficiency, and the omnidirectional sensitivity budget is related to the coupling relationship between receive sensitivity and antenna efficiency.
[0030] Furthermore, the collected quantitative parameters are input into the estimation table, and then a comparative analysis is performed: By comparing the gains of the RF front-end module with those of the benchmark solution, the risk of linearity degradation can be identified. By comparing the trends of filter insertion loss under different PCB layouts, the sensitivity coefficient of trace length to receiver sensitivity is evaluated. Calculate key performance offsets, including transmit power difference and receive sensitivity offset. It's important to understand that the difference calculation requires overriding environmental variable compensations, such as high-temperature degradation compensation converted to equivalent values at room temperature using preset coefficients.
[0031] Furthermore, in the performance difference-driven targeted optimization process, defect localization and optimization are performed based on the generated performance difference report: When the multi-link operation isolation budget is lower than the preset threshold, the metal shielding structure of the RF front-end module is increased to suppress mutual interference; If the attenuation value of the receiving link exceeds the tolerance range, the topology of the impedance matching network is reconstructed to reduce the insertion loss. When the omnidirectional sensitivity budget deteriorates, replace the filter with a low insertion loss model and verify its spectral compatibility with the RF front-end module.
[0032] The advantage of this embodiment is that by parametrically modeling functional units, traditional simulation-dependent static evaluation is transformed into data-driven dynamic prediction. The mapping relationship between design variables and RF performance is decoupled into independent parameters that can be quantified and tuned, enabling engineers to predict the link budget boundaries of different hardware combinations before prototyping, thereby avoiding the risk of solution iteration caused by device selection mismatch or layout defects.
[0033] Example 2: To address the evaluation bias caused by parameter coupling among modules in the RF link, this example refines the parameter definitions for the common RF matching module, filter module, RF front-end module, and antenna module. The common RF matching module encompasses the equivalent series resistance and quality factor of impedance matching components, as well as the transmission line loss per unit length in the 2.4GHz band. It is important to understand that the parasitic capacitance and inductance values of impedance matching components must be obtained through actual measurement using a vector network analyzer, while the transmission line loss must be calculated using a model combining the PCB dielectric constant and copper foil roughness.
[0034] The insertion loss parameters of the receiver-side second-order filter in the filter module include passband ripple and group delay characteristics, and their measurement must be performed under a 50-ohm impedance environment. The gain parameters of the RF front-end module need to distinguish between small-signal gain and gain compression points under saturated output power conditions, while linearity parameters include the third-order intermodulation intercept and error vector magnitude. The efficiency parameters of the antenna module need to be calculated by integrating the radiation pattern after measurement in a microwave anechoic chamber; radiation characteristic parameters include axial ratio and beamwidth.
[0035] Furthermore, the correlation between the parameters of each module needs to be modeled using a scattering parameter matrix. For example, changes in the output impedance of the RF front-end module will affect the out-of-band rejection characteristics of the filter module; this coupling effect needs to be analyzed using S-parameter cascade analysis. It is understandable that the voltage standing wave ratio (VSWR) of the antenna module will have a reverse effect on the impedance tolerance range of the common RF matching module. This embodiment quantifies the propagated impact of device selection on system-level RF performance through modular parameter definitions and correlation models.
[0036] Example 3: To address the multi-dimensional evaluation requirements of RF link budgets, this example expands the quantitative parameter index system. The attenuation value of each transmit link includes the insertion loss from the baseband chip output to the antenna port, and needs to be measured at +5dBm input power. The attenuation value of each receive link includes the link noise figure before the low-noise amplifier, and the measurement bandwidth needs to cover 2402MHz to 2482MHz.
[0037] Multi-link operational isolation was measured using a dual-port network analyzer, with a focus on monitoring in-band blocking interference during concurrent transmission in the same frequency band. High-temperature environmental performance degradation was assessed by recording parameter drift after continuous operation in a +85°C oven for 2 hours, with a particular focus on the risk of failure in the thermal compensation circuit of the RF power amplifier. Production consistency deviation was calculated by analyzing data from 30 batches of samples, determining the standard deviation and process capability index.
[0038] Furthermore, parameter acquisition must adhere to timing control principles. For example, high-temperature testing requires readings to be completed within 10 seconds of temperature stabilization to avoid interference from device self-heating effects. It is understandable that mass production deviations need to distinguish between process variations and material batch variations. The parameter system constructed through this embodiment can identify the statistical distribution characteristics of design weaknesses.
[0039] Example 4: To improve the referenceability of RF link evaluation, this example optimizes the RF link estimation table structure. The reference parameter column stores the S-parameter matrix and power-added efficiency curve of the Qualcomm reference design EVB, with data acquisition conducted in a constant temperature environment of 25℃±1℃. The proposed parameter column adopts a hierarchical storage architecture, with raw measured data and calibrated data stored in separate databases. The calibration algorithm includes probe contact loss compensation.
[0040] The total radiated power budget field integrates the EHT mode power spectral density template defined by the IEEE 802.11be protocol, including peak power limits under 4096-QAM modulation. The omnidirectional sensitivity budget field is embedded in the receiver dynamic range model, supporting carrier-to-interference-plus-noise ratio calculation under 1024 subcarriers.
[0041] Furthermore, the data tables are dynamically updated. When the filter insertion loss value is modified, the total radiated power budget is automatically recalculated for the power back-off of MCS0 to MCS13. It is important to understand that the reference parameter column uses a version control mechanism to differentiate between QFN and BGA packaged chips. This embodiment ensures the traceability and reproducibility of the evaluation results through structured data management.
[0042] Example 5: Addressing the high-order modulation requirements of the Wi-Fi 7 protocol, this example refines the key performance budget fields. The EHT20MHz MCS0 mode of the total radiated power budget field employs dual-stream spatial multiplexing technology, defining the transmit power as the power vector sum of the two RF links, with the phase synchronization error controlled within ±5°.
[0043] The EHT40MHz MCS11 mode with omnidirectional sensitivity budget field must meet a minimum received signal power of -82dBm, while constraining an adjacent channel rejection ratio of ≥45dB. In this mode, the receiver uses 128-point FFT spectrum analysis, and the channel estimation accuracy with a subcarrier spacing of 78.125kHz must reach 0.1dB RMS.
[0044] Furthermore, the budget calculation incorporates a multipath fading margin. Under the NLOS propagation model, the EHT40MHz mode requires an additional 3dB of Rayleigh fading compensation. Understandably, the low-density parity-check code gain of the MCS11 mode needs to be fitted using a bit error rate curve. This embodiment achieves accurate prediction of RF performance in high-order modulation scenarios.
[0045] Example 6: To improve the engineering practicality of the scheme comparison, this example standardizes the comparative analysis process. When comparing the RF front-end module parameters of the scheme to be evaluated with the benchmark scheme, impedance trajectories need to be superimposed on the Smith chart, with a focus on observing the impedance deviation vector magnitude at the 2.45GHz frequency point.
[0046] The longitudinal comparison of filter parameters under different circuit board layouts was performed using near-field electromagnetic scanning technology to plot the magnetic field strength distribution cloud map of a 3mm area around the filter, identifying sensitive areas in the layout. The calculation of RF transmit power differences required compensation for test fixture losses, while the receive sensitivity offset required deduction of the environmental background noise floor.
[0047] Furthermore, the comparison results need to be tested for significance. A T-test is initiated when the difference in transmit power exceeds 0.8 dB, with a confidence interval set at 95%. It is important to understand that the sensitivity offset value needs to be correlated with the operating threshold of the receiver's automatic gain control state machine.
[0048] Example 7: To address RF performance drift in high-temperature mass production scenarios, this example improves the transmit power difference compensation mechanism. In EHT40MHz MCS13 mode, the proposed scheme's transmit power value is first reduced by the system error of the vector signal analyzer (±0.15dB), and then compared with the benchmark scheme at the same symbol rate.
[0049] The -1 dB high-temperature degradation compensation value is derived from the thermal resistance model of the power amplifier junction at 125°C, and this value needs to be multiplied by the duty cycle correction factor. The -0.5 dB mass production deviation compensation value is obtained through Monte Carlo simulation, with input variables including ceramic capacitor tolerance ±5% and inductor Q value variation ±10%.
[0050] Furthermore, the compensation algorithm employs piecewise linear approximation. When the ambient temperature exceeds 65℃, the compensation slope switches from -0.015dB / ℃ to -0.028dB / ℃. It is understood that mass production compensation values need to be stored separately for three operating conditions: FF / SS / TT, according to the Process Corner. This embodiment achieves improved performance prediction accuracy under extreme operating conditions.
[0051] Example 8: To accelerate design iteration, this example establishes a targeted optimization rule base. When the multi-link operation isolation budget is less than -52 dB, a gold-plated copper shield is added between the RF front-end module and the baseband chip, with a cavity height ≥ 2 mm and a grounding via spacing ≤ λ / 10.
[0052] When the receiver link attenuation exceeds -1.58 dB, adjust the series inductance of the π-type matching network and prioritize the use of 0603 packaged ferrite beads to reduce distributed capacitance. When the omnidirectional sensitivity is worse than -96.96 dB / mW in EHT 20MHz MCS0 mode, replace the filter with a surface acoustic wave device, and the passband ripple must be ≤0.3 dB.
[0053] Furthermore, optimizing the operation requires verifying parameter sensitivity. After improving the shielding structure, the S21 parameter needs to be remeasured; impedance matching adjustment requires observing the voltage standing wave ratio (VSWR) change rate; and filter replacement requires recalibrating the group delay equalizer. This embodiment shortens the design verification cycle through a regularized optimization path.
[0054] Example 9: To address uncertainties in early designs, this example expands the dimensions of design variable evaluation. The compatibility between the RF front-end module and the filter model is evaluated by establishing an S-parameter compatibility matrix, whose elements include the coupling coefficients for reflection phase difference and gain flatness.
[0055] The impact coefficient of RF trace length variation on transmit link attenuation was modeled using transmission line theory. A 0.1 mm increase in microstrip line width resulted in a characteristic impedance change of ΔZ≈2Ω, and a 0.02 dB / cm decrease in loss per unit length. The contribution weight of antenna placement to total radiated power was calculated using the method of moments simulation. The radiation efficiency difference between edge placement and center placement was approximately 1.7 dB.
[0056] Furthermore, variable evaluation needs to consider process boundary conditions. Trace length evaluation needs to incorporate PCB lamination structure tolerances of ±5%, and antenna layout evaluation needs to include the variation in the dielectric constant of the plastic housing of ±0.2%. This embodiment achieves a forward-looking prediction of the coupling effects of multiple variables.
[0057] Example 10: To ensure device selection compliance, this example standardizes the compatibility verification process. The interference power difference between a specific RF front-end module and a reference filter is obtained through two-tone testing, with a test frequency interval of 20MHz. The power of the third-order intermodulation products must be 15dB lower than the noise floor.
[0058] Verification of the transmit power threshold of 22.18 dB / mW must be performed in EHT 40MHz MCS13 mode, with a symbol error rate ≤10e-5 and an average power spectral density fluctuation ≤0.5dB / MHz. When providing a list of combinations that meet the omnidirectional sensitivity budget of ≤-95.87 dB / mW, the operating temperature range and supply voltage tolerance must be specified.
[0059] Furthermore, the inventory generation employs a multi-objective optimization algorithm. The Pareto optimal solution set must simultaneously balance cost factors and performance margins, with sensitivity metrics taking precedence over transmit power metrics. It is important to understand that the inventory must include accelerated long-term reliability test results for the device combinations. This embodiment provides quantifiable criteria for device selection decisions.
[0060] Although the present invention has been specifically described above with reference to preferred embodiments, it should be understood that the present invention is not limited to the embodiments described above. Various modifications and variations can be made by those skilled in the art without departing from the spirit of the present invention, and such modifications and variations should fall within the scope defined by the appended claims and their equivalents.
Claims
1. A method for estimating the 2.4G band radio frequency link of a wireless access point, characterized in that, For wireless access point hardware employing Qualcomm MIAMI series Wi-Fi 7 chips, the estimation method includes the following steps: The radio frequency link is decomposed into functional units, including a common radio frequency matching module, a filter module, a radio frequency front-end module, and an antenna module; The quantitative parameters are collected according to the functional unit, and the quantitative parameters include link attenuation value and temperature characteristic index. The collected quantitative parameters are input into a preset RF link estimation table for comparative analysis, and a performance difference report is generated. Based on the performance difference report, design flaws can be identified and targeted optimizations can be made for RF device selection or circuit board layout.
2. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 1, characterized in that, The common RF matching module includes impedance matching elements and transmission line loss parameters; the filter module includes insertion loss parameters for the second-order filter at the receiver; the RF front-end module includes RF front-end chip gain and linearity parameters; and the antenna module includes antenna efficiency and radiation characteristic parameters.
3. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 1, characterized in that, The quantitative parameters include the attenuation value of each transmit link, the attenuation value of each receive link, the multi-link operation isolation budget, the high-temperature environment performance degradation value, and the mass production consistency deviation value.
4. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 1, characterized in that, The RF link estimation table includes: The baseline parameter column stores Qualcomm reference design standard values; The proposal parameter column stores the measured values of the proposed solutions to be evaluated. The total radiated power budget field includes transmit power values for a specific wireless mode; The omnidirectional sensitivity budget field includes the receive sensitivity value for a specific wireless mode.
5. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 4, characterized in that, The total radiated power budget field includes the dual-stream transmit power value under the enhanced high throughput 20MHz bandwidth 0th order modulation and coding scheme mode, and the omnidirectional sensitivity budget field includes the dual-stream receive sensitivity value under the enhanced high throughput 40MHz bandwidth 11th order modulation and coding scheme mode.
6. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 1, characterized in that, The steps of the comparative analysis include: The parameters of the RF front-end module of the solution to be evaluated are compared with those of the benchmark solution. A longitudinal comparison of filter parameters under different circuit board layouts was conducted. Calculate the difference in radio frequency transmit power and the offset in receive sensitivity.
7. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 6, characterized in that, The calculation steps for the difference in radio frequency transmission power include: In the enhanced high-throughput 40MHz bandwidth 13th-order modulation and coding scheme mode, the transmit power value of the proposed scheme is subtracted from the corresponding value of the benchmark scheme, and a high-temperature degradation compensation value of -1 dB and a mass production deviation compensation value of -0.5 dB are superimposed.
8. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 1, characterized in that, The targeted optimization steps include: When the multi-link operation isolation budget is less than -52 dB, add an RF front-end shielding structure; When the receiver link attenuation is greater than -1.58 dB, adjust the circuit board impedance matching network; When the omnidirectional sensitivity budget exceeds -96.96 dBmW in the enhanced high-throughput 20MHz bandwidth 0th-order modulation and coding scheme mode, replace it with a low insertion loss filter.
9. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 1, characterized in that, The estimation method is performed early in the hardware design process to evaluate the following design variables: Compatibility relationship between different RF front-end module models and filter models; The influence coefficient of RF trace length variation on transmit link attenuation; The weight of the antenna placement location in relation to the total radiated power budget.
10. The method for estimating the 2.4G band radio frequency link of a wireless access point as described in claim 9, characterized in that, The verification steps for the compatibility relationship include: Calculate the interference power difference between a specific RF front-end module and a reference filter combination; Verify that a specific RF front-end module meets the transmit power threshold of 22.18 dBmW under an enhanced high-throughput 40MHz bandwidth 13th-order modulation and coding scheme. Output a list of RF front-end modules and filter combinations that meet an omnidirectional sensitivity budget of less than or equal to -95.87 dBmW.