Circuit protection design method for interference of USB3.0 radiation on WiFi sensitivity

Abstract

The invention discloses a circuit protection design method for interference of USB3.0 radiation on WiFi sensitivity, and relates to the technical field of circuit protection and electromagnetic compatibility, and the method comprises the following steps: S1, an interference sensing module collects USB3.0 radiation field intensity, differential signal characteristics and receiving state parameters of a WiFi module; s2, the adaptive filtering module adjusts parameters of a differential-mode filtering capacitor array and a common-mode inductor through an improved particle swarm optimization algorithm based on the interference level; s3, the radiation suppression module blocks an interference propagation path through the active shielding plate and the optimized grounding network; s4, the feedback adjustment module feeds back a WiFi receiving state to the interference sensing module, and dynamically adjusts a protection strategy to form closed-loop control; real-time monitoring and grading of USB3.0 radiation interference are achieved through the interference sensing module, adaptive filtering parameter optimization of the improved PSO algorithm is combined, the filtering module can accurately match interference frequency changes, and compared with a fixed parameter filtering scheme, the SNR of the WiFi module is effectively improved.

Description

A circuit protection design method for WiFi sensitivity to USB 3.0 radiation interference. Technical Field

[0001] This invention relates to the fields of circuit protection and electromagnetic compatibility technology, and more specifically, to a circuit protection design method for protecting the sensitivity of WiFi from USB 3.0 radiation interference. Background Technology

[0002] With the increasing integration of electronic devices, the USB 3.0 interface, boasting a transmission rate of up to 5Gbps, has become a standard feature in various terminal devices. Meanwhile, WiFi modules (especially those operating in the IEEE 802.11 series protocols in the 2.4GHz / 5GHz bands) are core components of wireless communication, and their receiver sensitivity directly determines the distance and anti-interference capability of wireless communication. However, during data transmission, the differential signal pairs (D+, D-) of the USB 3.0 interface generate strong common-mode radiation. This radiation signal covers a portion of the 2.4GHz WiFi band (2.4-2.4835GHz) and 5GHz WiFi band (5.15-5.85GHz), easily interfering with the RF front-end of the WiFi module through spatial radiation or PCB-level conduction. This leads to a decrease in the signal-to-noise ratio and an increase in the bit error rate at the WiFi receiver, and in severe cases, even communication interruption.

[0003] Existing protection methods against USB 3.0 radiation interference mainly fall into three categories: First, physical isolation of the USB 3.0 interface or WiFi module using a metal shield. However, this solution increases the size and cost of the device and cannot completely block the coupling of high-frequency radiation. Second, connecting a filter capacitor or common-mode inductor with fixed parameters in series on the USB 3.0 signal line. However, filter devices with fixed parameters can only suppress interference at specific frequency points and are difficult to adapt to the changes in radiation frequency during the dynamic transmission of USB 3.0. Third, PCB layout optimization (such as adding grounding vias and increasing the distance between the USB and WiFi modules). However, due to the limited space of portable devices, the optimization effect is often limited.

[0004] Therefore, a circuit protection design method for preventing WiFi sensitivity interference from USB 3.0 radiation is proposed to address the above problems. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a circuit protection design method for the sensitivity of WiFi to USB 3.0 radiation interference, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a leg extension mechanism for a wheeled robot, comprising an interference sensing module, an adaptive filtering module, a radiation suppression module, and a feedback adjustment module, characterized in that: the method includes the following steps: S1. The interference sensing module collects the USB 3.0 radiation field strength, differential signal characteristics, and WiFi module reception status parameters, and outputs the interference level through an interference level evaluation model; S2. Based on the interference level, the adaptive filtering module adjusts the parameters of the differential-mode filter capacitor array and the common-mode inductor through an improved particle swarm optimization algorithm to achieve targeted interference suppression; S3. The radiation suppression module blocks the interference propagation path through an active shielding plate and an optimized grounding network; S4. The feedback adjustment module feeds back the WiFi reception status to the interference sensing module, dynamically adjusts the protection strategy, and forms a closed-loop control.

[0007] Furthermore, the interference sensing module is used to collect the characteristics of USB 3.0 radiation signals and the reception status of the WiFi module in real time, providing a basis for adjusting the protection parameters.

[0008] Furthermore, the interference sensing module includes a radiation signal acquisition unit, a WiFi status detection unit, and a signal processing submodule: the radiation signal acquisition unit uses a 1-6GHz wideband electromagnetic coupling sensor and a signal coupler to achieve multi-dimensional acquisition of interference sources.

[0009] Furthermore, the WiFi status detection unit is connected to the baseband output of the WiFi module to collect SNR, BER and RSSI parameters; the signal processing submodule uses an STM32H743 microcontroller to construct an interference level evaluation model through a BP neural network, and divides the interference intensity into three levels: weak, medium and strong.

[0010] Furthermore, the adaptive filtering module includes a differential-mode filtering unit and a common-mode filtering unit, and the adaptive filtering module adopts a "differential-mode-common-mode collaborative filtering" topology.

[0011] Furthermore, the differential mode filter unit consists of an adjustable capacitor array composed of four MLCC capacitors with different capacitance values ​​and an ADG1419 analog switch.

[0012] Furthermore, the common-mode filtering unit adopts an ACM7060-900 common-mode inductor, and its core air gap is adjusted by a 28BYJ-48 stepper motor. The parameter optimization adopts an improved particle swarm optimization algorithm, introducing a dynamic adjustment strategy for inertial weights and a crossover mutation operator, with "maximizing WiFi SNR + minimizing USB 3.0 transmission rate loss" as the dual objective function.

[0013] Furthermore, the radiation suppression module includes an active shielding unit and a grounding optimization unit: the active shielding unit adopts a copper foil-ferrite composite shielding plate and integrates an anti-phase cancellation circuit composed of an OP07 operational amplifier to generate a magnetic field that is opposite to the interference radiation.

[0014] Furthermore, the grounding optimization unit adopts a star grounding network, with a series high-frequency choke to suppress ground loop interference, and uses an IMP812 impedance analyzer to detect the grounding impedance in real time and switch to a backup grounding path.

[0015] Furthermore, the feedback adjustment module uses FreeRTOS to implement multi-task scheduling, with an interference acquisition cycle of 10ms, a parameter adjustment cycle of 5ms, and a feedback evaluation cycle of 20ms. When the WiFi SNR is ≥20dB and stable for 300ms, the system enters a low-power mode, and the parameter adjustment cycle is extended to 50ms. If the SNR fails to meet the standard after 5 consecutive adjustments, an emergency mechanism to downgrade the USB 3.0 speed to USB 2.0 is triggered.

[0016] The technical effects and advantages of this invention are as follows: Compared with the prior art, this circuit protection design method for improving WiFi sensitivity to USB 3.0 radiation interference has strong targeted interference suppression: Real-time monitoring and level classification of USB 3.0 radiation interference are achieved through an interference sensing module. Combined with adaptive filtering parameter optimization of the improved PSO algorithm, the filtering module can accurately match changes in interference frequency, improving interference suppression efficiency in both the 2.4GHz and 5GHz bands. Compared with fixed parameter filtering schemes, the SNR of the WiFi module is effectively improved. Excellent dynamic adaptability: The closed-loop control mechanism can adjust the protection parameters in real time according to the WiFi reception status. When the USB 3.0 transmission rate dynamically increases from 1Gbps to 5Gbps, the system can complete the filtering in a short time. Wavelength parameter optimization ensures stable interference suppression, solving the problem that traditional solutions cannot adapt to dynamic interference due to static protection. It boasts good integration and cost-effectiveness: a modular design replaces the traditional metal shield, reducing costs. Simultaneously, parameter optimization ensures that USB 3.0 transmission rate loss is controlled within a certain range, achieving a balance between protection effectiveness and transmission performance. It has a wide range of applications: compatible with USB 3.0 interface chips (such as Intel JHL7540, Renesas D720200) and WiFi modules (such as Qualcomm QCA9377, Broadcom BCM4375) from different brands. By adjusting the interference sensing threshold and filtering parameter range, it can be applied to various devices such as laptops and smart gateways. Attached Figure Description

[0017] Figure 1 is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0018] 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 embodiments of the present invention, and not all embodiments. 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.

[0019] As shown in Figure 1, the leg extension mechanism of the wheeled robot includes an interference sensing module, an adaptive filtering module, a radiation suppression module, and a feedback adjustment module. The method comprises the following steps: S1. The interference sensing module collects the USB 3.0 radiation field strength, differential signal characteristics, and WiFi module reception status parameters, and outputs the interference level through an interference level assessment model. The interference sensing module is used to collect the USB 3.0 radiation signal characteristics and the WiFi module reception status in real time, providing a basis for adjusting protection parameters. The interference sensing module includes a radiation signal acquisition unit, a WiFi status detection unit, and a signal processing submodule: radiation signal acquisition... The data acquisition unit employs a 1-6GHz wideband electromagnetic coupling sensor and signal coupler, deployed in the PCB area between the USB 3.0 interface and the WiFi module, to collect the common-mode radiation field strength generated by the USB 3.0 differential signal. Simultaneously, the signal coupler extracts the amplitude and transition edge characteristics of the differential signal from the USB 3.0 data line, enabling multi-dimensional characterization and acquisition of interference sources. The WiFi status detection unit is connected to the baseband output of the WiFi module, collecting signal-to-noise ratio (SNR), bit error rate (BER), and signal strength indication (RSSI) parameters. When the SNR is lower than a preset threshold (e.g., 15dB) or the BER is higher than a preset threshold, the system detects the interference source. When the signal is activated, the protection mechanism is triggered. The signal processing submodule uses an STM32H743 microcontroller to perform analog-to-digital conversion and feature fusion on the collected radiation field strength, differential signal characteristics and WiFi status parameters. It constructs an interference level assessment model through a BP neural network, divides the interference intensity into three levels: weak (0-5V / m), medium (5-15V / m), and strong (>15V / m), and outputs control signals corresponding to the level.

[0020] S2. The adaptive filtering module adjusts the parameters of the differential-mode filter capacitor array and the common-mode inductor based on the interference level by improving the particle swarm optimization algorithm to achieve targeted interference suppression. The adaptive filtering module includes a differential-mode filter unit and a common-mode filter unit, and the adaptive filtering module adopts a "differential-mode-common-mode collaborative filtering" topology.

[0021] The differential-mode filtering unit consists of an adjustable capacitor array composed of four MLCC capacitors with different capacitance values ​​and an ADG1419 analog switch; the common-mode filtering unit uses an ACM7060-900 common-mode inductor, whose core air gap is adjusted by a 28BYJ-48 stepper motor; parameter optimization adopts an improved particle swarm optimization algorithm, introducing a dynamic adjustment strategy for inertial weights (linearly decreasing from 0.9 to 0.4 according to the interference level) and a crossover mutation operator, with "maximizing WiFi SNR + minimizing USB 3.0 transmission rate loss" as the dual objective function; specifically, the filtering parameter optimization method based on the improved particle swarm optimization (PSO) algorithm dynamically adjusts the filtering capacitor value and the common-mode inductor value with "maximizing WiFi module SNR + minimizing USB 3.0 transmission rate loss" as the dual objective function. The algorithm optimization lies in introducing a dynamic adjustment strategy for inertia weights (linearly decreasing from 0.9 to 0.4 based on the interference level) and a crossover mutation operator (to avoid local optima), which improves the parameter convergence speed. The output layer formula of the BP neural network interference level assessment model is as follows: The interference level assessment model uses a three-layer BP neural network, with the output layer consisting of three neurons (corresponding to weak, medium, and strong interference). The activation function is the Softmax function, specifically: ,in, For the output layer The output value of each neuron ( The sum of these values ​​is 1, which corresponds to the probability of a certain level of interference, either "weak / medium / strong". For the output layer Net input to each neuron; For the hidden layer The nth neuron to the output layer The connection weights of each neuron; For the hidden layer The output value of each neuron (there are 12 neurons in the hidden layer). (Values ​​range from 1 to 12). For the output layer Bias terms for each neuron; The output layer neuron indexes (3 in total, corresponding to 3 levels of interference) (Values ​​1-3); Drive unit: The DAC7571 digital-to-analog converter chip is used to convert the control signal output by the microcontroller into an analog voltage, which drives the analog switch to switch the capacitor array and the magnetic core adjustment mechanism (driven by a micro stepper motor) to achieve millisecond-level adjustment of the filter parameters.

[0022] S3. The radiation suppression module blocks the interference propagation path through an active shielding plate and an optimized grounding network. The radiation suppression module includes an active shielding unit and a grounding optimization unit: the active shielding unit adopts a copper foil-ferrite composite shielding plate and integrates an OP07 operational amplifier to form an anti-phase cancellation circuit, generating a magnetic field that is opposite to the interference radiation.

[0023] The grounding optimization unit adopts a star grounding network, with a series high-frequency choke to suppress ground loop interference, and uses an IMP812 impedance analyzer to detect the grounding impedance in real time and switch to a backup grounding path.

[0024] The radiation suppression module is used to block the spatial propagation path of interference signals. It adopts a composite scheme of "active shielding + grounding optimization". The specific strategy is as follows: Improve the dual objective function formula of PSO: construct a weighted objective function with the goal of optimizing WiFi reception performance and minimizing USB 3.0 transmission loss; Active shielding unit: set an adjustable electromagnetic shielding plate between the USB 3.0 interface and the WiFi module. The shielding plate is made of copper foil and ferrite composite material and integrates an active cancellation circuit composed of operational amplifiers. It generates a cancellation magnetic field by inverting the radiation signal collected by the interference sensing module. ,in, , Weighting coefficients ( , The stability of WiFi communication is prioritized (determined through the analytic hierarchy process). SNR is the current WiFi signal-to-noise ratio, SNR=5dB (communication threshold), SNR=30dB (ideal value); R=5Gbps (theoretical USB 3.0 rate), R is the difference between the actual transmission rate and the theoretical rate. The value range is [0,1], and the larger the value, the better the overall performance; Grounding optimization unit: Design a grounding network of "star grounding + impedance matching", and converge the grounding terminals of USB3.0 interface, filter module and WiFi module to the same grounding node. At the same time, a high-frequency choke is connected in series in the grounding path to suppress ground loop interference; The grounding impedance is detected in real time by an impedance analyzer. When the impedance is greater than 5Ω, the grounding switching switch is triggered to connect to the backup grounding path.

[0025] S4. The feedback adjustment module feeds back the WiFi reception status to the interference sensing module, dynamically adjusts the protection strategy, and forms a closed-loop control.

[0026] The feedback adjustment module uses FreeRTOS for multi-task scheduling, with an interference acquisition cycle of 10ms, a parameter adjustment cycle of 5ms, and a feedback evaluation cycle of 20ms. When the WiFi SNR is ≥20dB and stable for 300ms, the system enters a low-power mode, and the parameter adjustment cycle is extended to 50ms. If the SNR fails to meet the standard after 5 consecutive adjustments, an emergency mechanism to downgrade the USB 3.0 speed to USB 2.0 is triggered. The specific strategy is as follows: PSO inertial weight dynamic adjustment formula: To balance the global search and local convergence capabilities of the algorithm, the inertial weight is dynamically adjusted according to the interference level. The feedback adjustment module constructs a closed-loop control mechanism, feeding back the real-time data from the WiFi status detection unit to the interference sensing module, forming a cycle of "interference acquisition - parameter adjustment - effect evaluation - secondary optimization". When the WiFi module's SNR recovers to above the preset threshold and stabilizes for 300ms, the system automatically reduces the protection level, reduces the frequency of filter parameter adjustments, and reduces circuit power consumption. If the SNR still fails to meet the standard after 5 consecutive adjustments, an emergency mechanism is triggered (such as temporarily reducing the USB 3.0 transmission rate to USB 2.0 mode) to ensure WiFi communication priority. The specific formula is as follows: ,in, This represents the maximum number of iterations, and the maximum number of iterations is 50. , , This represents the current iteration number. This is a grade correction factor. Interference levels are defined as follows (weak = 1, medium = 2, strong = 3). Stronger interference requires more iterations. The smaller the value, the more the algorithm tends to perform a fine-grained local search.

[0027] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A circuit protection design method for preventing interference with WiFi sensitivity caused by USB 3.0 radiation, comprising an interference sensing module, an adaptive filtering module, a radiation suppression module, and a feedback adjustment module, characterized in that: The method includes the following steps: S1. The interference sensing module collects the USB 3.0 radiation field strength, differential signal characteristics, and WiFi module reception status parameters, and outputs the interference level through an interference level evaluation model; S2. Based on the interference level, the adaptive filtering module adjusts the parameters of the differential-mode filter capacitor array and common-mode inductor through an improved particle swarm optimization algorithm to achieve targeted interference suppression; S3. The radiation suppression module blocks the interference propagation path through an active shielding plate and an optimized grounding network; S4. The feedback adjustment module feeds back the WiFi reception status to the interference sensing module, dynamically adjusts the protection strategy, and forms a closed-loop control.

2. The circuit protection design method for detecting WiFi sensitivity interference from USB 3.0 radiation as described in claim 1, characterized in that: The interference sensing module is used to collect the characteristics of USB 3.0 radiation signals and the reception status of the WiFi module in real time, providing a basis for adjusting the protection parameters.

3. The circuit protection design method for detecting WiFi sensitivity interference from USB 3.0 radiation as described in claim 1, characterized in that: The interference sensing module includes a radiation signal acquisition unit, a WiFi status detection unit, and a signal processing submodule: the radiation signal acquisition unit uses a 1-6GHz wideband electromagnetic coupling sensor and a signal coupler to achieve multi-dimensional acquisition of interference sources.

4. The circuit protection design method for USB 3.0 radiation interference with WiFi sensitivity according to claim 3, characterized in that: The WiFi status detection unit is connected to the baseband output of the WiFi module and collects SNR, BER and RSSI parameters; the signal processing submodule uses an STM32H743 microcontroller and constructs an interference level evaluation model through a BP neural network to divide the interference intensity into three levels: weak, medium and strong.

5. The circuit protection design method for USB 3.0 radiation interference with WiFi sensitivity according to claim 1, characterized in that: The adaptive filtering module includes a differential-mode filtering unit and a common-mode filtering unit, and the adaptive filtering module adopts a "differential-mode-common-mode collaborative filtering" topology.

6. The circuit protection design method for USB 3.0 radiation interference WiFi sensitivity according to claim 5, characterized in that: The differential mode filter unit consists of an adjustable capacitor array composed of four MLCC capacitors with different capacitance values ​​and an ADG1419 analog switch.

7. The circuit protection design method for USB 3.0 radiation interference with WiFi sensitivity according to claim 5, characterized in that: The common-mode filtering unit uses an ACM7060-900 common-mode inductor, and its core air gap is adjusted by a 28BYJ-48 stepper motor. The parameter optimization adopts an improved particle swarm optimization algorithm, which introduces a dynamic adjustment strategy for inertial weights and a crossover mutation operator, with "maximizing WiFi SNR + minimizing USB 3.0 transmission rate loss" as the dual objective function.

8. The circuit protection design method for USB 3.0 radiation interference with WiFi sensitivity according to claim 1, characterized in that: The radiation suppression module includes an active shielding unit and a grounding optimization unit: the active shielding unit adopts a copper foil-ferrite composite shielding plate and integrates an OP07 operational amplifier to form an anti-phase cancellation circuit, generating a magnetic field that is opposite to the interference radiation.

9. A circuit protection design method for detecting WiFi sensitivity interference from USB 3.0 radiation, as described in claim 8, characterized in that: The grounding optimization unit adopts a star grounding network, with a series high-frequency choke to suppress ground loop interference, and uses an IMP812 impedance analyzer to detect the grounding impedance in real time and switch to a backup grounding path.

10. A circuit protection design method for detecting WiFi sensitivity interference from USB 3.0 radiation, as described in claim 1, characterized in that: The feedback adjustment module uses FreeRTOS to implement multi-task scheduling, with an interference acquisition cycle of 10ms, a parameter adjustment cycle of 5ms, and a feedback evaluation cycle of 20ms. When the WiFi SNR is ≥20dB and stable for 300ms, the system enters a low-power mode, and the parameter adjustment cycle is extended to 50ms. If the SNR fails to meet the standard after 5 consecutive adjustments, an emergency mechanism to downgrade the USB 3.0 speed to USB 2.0 is triggered.

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