Antenna power adjustment method, electronic device, medium, program product and chip

Abstract

The present application relates to the field of communication technology, and proposes an antenna power adjustment method, electronic device, medium, program product and chip. In this method, based on the change in multiple parameters of the electronic device from a first moment to a second moment, such as the change in at least two parameters among the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna and the communication parameter of the antenna, it is detected whether the distance between the living body and the electronic device is less than or equal to the preset distance, and when it is detected that the distance between the living body and the electronic device is less than or equal to the preset distance, the signal transmission power of the antenna is adjusted from the current first power to the second power, wherein the second power is less than the first power. By detecting whether there is a living body approaching the electronic device through the change in multiple parameters of the electronic device, the accuracy of the detection of the proximity of the living body can be improved, thereby improving the accuracy of the signal transmission power adjustment of the antenna, which is beneficial to ensuring the communication quality of the antenna.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to an antenna power adjustment method, electronic equipment, medium, program product, and chip. Background Art

[0002] The Specific Absorption Rate (SAR) refers to the amount of electromagnetic radiation energy absorbed per unit mass of material per unit time. A higher SAR value indicates a higher amount of electromagnetic radiation energy absorbed per unit mass of material per unit time. Conversely, a lower SAR value indicates a lower amount of electromagnetic radiation energy absorbed per unit mass of material per unit time.

[0003] In order to reduce the impact of electromagnetic radiation on living organisms (such as the human body), some electronic devices (such as mobile phones) reduce the SAR value by reducing the signal transmission power of the antenna when they detect that a living organism is approaching, thereby reducing the electromagnetic radiation of the signal transmitted by the antenna to the living organism.

[0004] However, in the prior art, the accuracy of electronic devices in detecting whether a living being is approaching is low, which makes it easy for the SAR reduction function to be accidentally triggered, causing the antenna to mistakenly reduce the signal transmission power when no living being is approaching, affecting the communication quality of the antenna. Summary of the Invention

[0005] Some embodiments of the present application provide an antenna power adjustment method, electronic device, medium, program product and chip. The present application is introduced from multiple aspects below, and the implementation methods and beneficial effects of the following multiple aspects can be referenced with each other.

[0006] In a first aspect, the present application provides a method for adjusting antenna power for an electronic device, the electronic device including a capacitive sensor and an antenna, the method including: obtaining a change in multiple parameters of the electronic device from a first moment to a second moment, wherein the change in multiple parameters is related to the distance from the living body to the electronic device; based on the change in multiple parameters, determining that the distance from the living body to the electronic device is less than or equal to a preset distance; adjusting the signal transmission power of the antenna from the current first power to a second power, wherein the second power is less than the first power; wherein the multiple parameters include at least two of the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the communication parameter of the antenna.

[0007] When a living being (such as a human body) approaches an electronic device, that is, when the distance between the living being and the electronic device is less than or equal to a preset distance, the capacitance parameter (capacitance value) of the electronic device's capacitive sensor, the impedance parameter of the antenna, and the communication parameter of the antenna will be affected by the living being and change. Therefore, the change in these parameters is related to the distance between the living being and the electronic device. The electronic device obtains the change in at least two of the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the communication parameter of the antenna from the first moment to the second moment, and detects whether a living being is approaching the electronic device based on the change in these parameters. This is more accurate than detecting whether a living being is approaching the electronic device based on only one indicator (such as the change in the capacitance parameter). In this way, the accuracy of the antenna's adjustment of the signal transmission power can be improved, allowing the electronic device to accurately reduce the signal transmission power when a living being approaches the electronic device, thereby avoiding the electronic device's false triggering of the SAR reduction function when the living being is not approaching the electronic device, thereby affecting the communication quality of the antenna.

[0008] In some embodiments, obtaining changes in multiple parameters of an electronic device from a first moment to a second moment includes: controlling an antenna to transmit a signal within a first frequency range at the first moment and obtaining the impedance of the antenna at a first frequency point within the first frequency range; controlling the antenna to receive a signal within a second frequency range at the second moment and obtaining the impedance of the antenna at at least one frequency point within the second frequency range; and calculating the absolute value of the difference between the impedance of the antenna at the first frequency point and the impedance of the antenna at the at least one frequency point to obtain the change in at least one impedance parameter of the antenna. Optionally, the first frequency range is within the second frequency range.

[0009] At a first moment, when the electronic device controls the antenna to transmit a signal within a first frequency range, the impedance of the antenna at a first frequency point within the first frequency range is obtained. Then, at a second moment, when the electronic device controls the antenna to receive a signal within a second frequency range, the second impedance of the antenna at at least one frequency point within the second frequency range is obtained. The absolute value of the difference between the first impedance and the second impedance at the at least one frequency point is calculated to obtain a change in the impedance parameter of the antenna at at least one frequency point within the second frequency range relative to at least one first frequency point within the first frequency range. The at least one frequency point may include a second frequency point that is the same as the first frequency point, or a third frequency point that is different from the first frequency point. The second frequency point may be within the first frequency range. The third frequency point may be outside the first frequency range but within the second frequency range. The change in the impedance parameter obtained by calculating the absolute value of the difference between the impedance of the antenna at the first frequency point and the impedance of the antenna at the second frequency point is the actual change in the impedance of the antenna from the first moment to the second moment. The change in the impedance parameter obtained by calculating the absolute value of the difference between the impedance of the antenna at the first frequency point and the impedance of the antenna at the third frequency point is the relative change in the impedance of the antenna at the third frequency point relative to the first frequency point from the first moment to the second moment.

[0010] The relative impedance change can include information about the relative impedance change of the antenna outside the first frequency range and within the second frequency range. By calculating the relative impedance change of the antenna, information about the relative impedance change outside the first frequency range can be obtained, thereby obtaining more impedance change information. This more information can be used to detect the presence of living organisms approaching electronic devices with greater accuracy.

[0011] In some embodiments, the electronic device further includes a filter, which is disposed before the antenna, wherein the first frequency range is a filtering frequency range of the filter, and the second frequency range is an operating frequency range of the antenna.

[0012] The filtering frequency range of the filter may be referred to as a "passband," and the frequency range outside the filtering frequency range of the filter but within the operating frequency range of the antenna may be referred to as an "out-of-band."

[0013] The relative impedance change of the antenna may be a change in the out-of-band impedance of the antenna (ie, the impedance of the antenna at an out-of-band frequency) relative to the passband impedance of the antenna (ie, the impedance of the antenna at a frequency within the passband).

[0014] By calculating the relative impedance change of the antenna, impedance change information over a wider frequency range can be obtained, such as out-of-band relative impedance change information of the antenna. By obtaining impedance change information over a wider frequency range, the presence of a living organism approaching an electronic device can be detected with higher accuracy. In some embodiments, the communication parameters include at least one of the following: reference signal received power, signal-to-noise ratio, block error rate, data transmission rate, signal attenuation, physical uplink control channel transmit power, physical uplink shared channel path loss, physical uplink shared channel transmit power, number of resource blocks, packet data aggregation protocol parameters, and received signal strength indicator.

[0015] Providing different communication parameters as indicators for proximity detection of living beings can be applied to different communication scenarios and has good applicability.

[0016] In some embodiments, determining that the distance between the living being and the electronic device is less than or equal to a preset distance based on the changes in multiple parameters includes: determining that the distance between the living being and the electronic device is less than or equal to the preset distance when the changes in at least two parameters among the changes in the multiple parameters are greater than or equal to their respective corresponding thresholds.

[0017] Based on the thresholds corresponding to the changes in at least two parameters among the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the communication parameter of the antenna, it is determined whether the distance between a living body and the electronic device is less than or equal to the preset distance with high accuracy.

[0018] In some embodiments, the electronic device is deployed with a first model, the first model includes a mapping relationship between the change amount of multiple parameters and the distance from the living body to the electronic device, and based on the change amount of the multiple parameters, determining that the distance from the living body to the electronic device is less than or equal to a preset distance includes: inputting the change amount of the multiple parameters into the first model to obtain the output result of the first model, wherein the output result of the first model indicates that the distance from the living body to the electronic device is less than or equal to the preset distance.

[0019] The changes in at least two of the capacitance parameters of the capacitive sensor, the impedance parameters of the antenna, and the communication parameters of the antenna are input into a trained first model. The output result of the first model is used to determine whether the distance between a living organism and the electronic device is less than or equal to a preset distance, thereby improving the accuracy of life approach detection.

[0020] In a second aspect, embodiments of the present application provide an electronic device, comprising: a memory for storing instructions executed by one or more processors of the electronic device; and a processor, which, when executing the instructions in the memory, causes the electronic device to perform the method described in the first aspect of the present application. The beneficial effects achieved by the second aspect can be referenced to the beneficial effects of the method provided in any embodiment of the first aspect and are not further elaborated here.

[0021] In a third aspect, embodiments of the present application provide a computer-readable storage medium having instructions stored thereon. When executed on a computer, the instructions cause the computer to perform the method described in any embodiment of the first aspect. The beneficial effects achieved in the third aspect can be referenced to the beneficial effects of the method described in any embodiment of the first aspect and are not further elaborated here.

[0022] In a fourth aspect, embodiments of the present application provide a computer program product, comprising computer program code. When the computer program code is executed on a computer, the computer implements the method described in any embodiment of the first aspect. The beneficial effects achieved in the fourth aspect can be referenced to the beneficial effects of the method provided in any embodiment of the first aspect and are not further elaborated here.

[0023] In a fifth aspect, embodiments of the present application provide a chip comprising a processor coupled to a memory and configured to execute a computer program or instruction stored in the memory, so that the chip implements the method described in any embodiment of the first aspect. The beneficial effects achieved in the fifth aspect can be referenced to the beneficial effects of the method provided in any embodiment of the first aspect and are not further elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 According to some embodiments of the present application, a schematic diagram of S parameters is shown;

[0025] Figure 2 According to some embodiments of the present application, a schematic diagram of an application scenario is shown;

[0026] Figure 3A According to some embodiments of the present application, a schematic diagram of a signal transceiver circuit is shown;

[0027] Figure 3B According to some embodiments of the present application, a schematic diagram of another signal transceiver circuit is shown;

[0028] Figure 4 According to some embodiments of the present application, a Smith chart is shown;

[0029] Figure 5 According to some embodiments of the present application, a schematic diagram of an impedance matching circuit is shown;

[0030] Figure 6A According to some embodiments of the present application, the reflection coefficient S measured by the electronic device in the frequency range Band 5 [824 MHz, 894 MHz] is shown. 11 Plot of the curve in a Smith chart;

[0031] Figure 6B According to some embodiments of the present application, the reflection coefficient S measured by the electronic device in the frequency range Band 4 [1710MHz, 2155MHz] is shown. 22 Plot of the curve in a Smith chart;

[0032] Figure 7 According to some embodiments of the present application, a structural example diagram of a first model is shown;

[0033] Figure 8 According to some embodiments of the present application, a diagram illustrating an example structure of a neuron layer is shown;

[0034] Figure 9A According to some embodiments of the present application, a graph of activation function one is shown;

[0035] Figure 9B According to some embodiments of the present application, a graph of activation function two is shown;

[0036] Figure 10 According to some embodiments of the present application, a flow chart of a method for adjusting antenna power is shown;

[0037] Figure 11 According to some embodiments of the present application, a schematic structural diagram of an electronic device is shown. DETAILED DESCRIPTION

[0038] The embodiment of the present application is used to provide a method for adjusting antenna power. The following describes the method for adjusting antenna power provided by the embodiment of the present application in conjunction with specific embodiments.

[0039] For ease of understanding, the following explains the terms involved in this application:

[0040] (1) Impedance

[0041] Antenna impedance is the electrical impedance characteristic presented by the antenna at its feed point (e.g., input terminal). It can be expressed as Z = R + jX, where Z is the impedance. R is the resistance (real part), representing the energy dissipation component. X is the reactance (imaginary part), which affects the signal phase. j is the imaginary unit. The resistive component is primarily composed of radiation resistance (energy radiated by the antenna into free space) and loss resistance (energy lost in the material and structure). The reactive component can be inductive or capacitive, depending on the antenna size, shape, and operating frequency.

[0042] (2) S parameters

[0043] S parameters are used to describe the signal transmission and reflection characteristics between different ports of a network or device.

[0044] The following combination Figure 1 A detailed introduction to S parameters is given.

[0045] like Figure 1 As shown, the device under test (DUT) includes port 1 and port 2. The impedance of the transmission line is Z=Z0. Optionally, Ω. The impedance of the test equipment Z≠Z0. Due to the different impedances of the transmission line and the test equipment, the signal will be reflected when it is transmitted from the transmission line to port 1 or port 2 of the test equipment, and a certain amount of loss will occur in the signal transmitted within the test equipment. For example, in the case of signal V i During the transmission from port 1 to port 2 of the test equipment, the signal V i Output signal V after transmission by the test equipment t , and the signal V is reflected back from port 1 of the device under test r .

[0046] S 11 is the reflection coefficient of port 1, which indicates the proportion of the signal input from port 1 that is reflected back from port 1, that is, S 11 =V r / V i .

[0047] S 22 is the reflection coefficient of port 2, which indicates the proportion of the signal input from port 2 that is reflected back from port 2.

[0048] S 12 is the transmission coefficient from port 1 to port 2, which indicates the proportion of the signal input from port 1 that is transmitted to the output of port 2.

[0049] S 21 is the transmission coefficient from port 2 to port 1, which indicates the proportion of the signal input from port 2 that is transmitted to the output of port 1.

[0050] In some embodiments, the input impedance of port 1 of the test device is and reflection coefficient S 11 The relationship between is shown in the following formula (1):

[0051] (1)

[0052] Likewise, the input impedance of port 2 of the test device is and reflection coefficient S 22 The relationship between them is shown in the following formula (2):

[0053] (2)

[0054] The methods provided in the embodiments of the present application can be applied to any electronic device including an antenna and a capacitive sensor, including but not limited to a mobile station (MS), a mobile terminal (MT), and the like. For example, the electronic device can be a mobile phone, a smart TV, a wearable device, a tablet computer, a desktop computer, a laptop computer, a virtual reality (VR) device, an augmented reality (AR) device, a terminal in industrial control, a terminal in self-driving, a terminal in remote medical surgery, a terminal in a smart grid, a terminal in transportation safety, a terminal in a smart city, a terminal in a smart home, and the like. The embodiments of the present application do not limit the specific form of the electronic device. The following description uses a mobile phone as an example of an electronic device.

[0055] Figure 2 According to some embodiments of the present application, a schematic diagram of an application scenario is shown.

[0056] like Figure 2 As shown, when the electronic device 100 detects that the user is holding the electronic device 100, the electronic device 100 can reduce the SAR value by reducing the signal transmission power of the antenna, thereby reducing the electromagnetic radiation generated by the transmission signal of the electronic device 100 to the human body.

[0057] In some embodiments, the electronic device 100 can detect whether a human body is close to the electronic device 100 through a built-in SAR sensor (a capacitive sensor), that is, detect whether the distance between the human body and the electronic device 100 is less than or equal to a preset distance.

[0058] The following is an introduction to the detection principle of SAR sensors:

[0059] A SAR sensor consists of two electrodes (such as copper sheets) and an insulating layer. When a person (such as a finger) approaches the SAR sensor, it creates a coupling capacitor between the two electrodes. This coupling capacitor, in parallel with the SAR's original capacitance, changes the total capacitance of the SAR sensor. Therefore, the SAR sensor can detect the presence of a person by measuring this change in total capacitance.

[0060] However, the coupling capacitance formed between the human body and the two electrodes of the SAR sensor is easily affected by various factors (such as body shape, clothing, and the type of surrounding objects). It is difficult to set a precise capacitance change threshold to distinguish the type of connected objects, resulting in low accuracy and the SAR reduction function is easily triggered by mistake, affecting communication quality.

[0061] For example, when an object (such as clothing) approaches electronic device 100, if the coupling capacitance A1 formed between the object and the SAR sensor is similar to the coupling capacitance A2 formed between a human body and the SAR sensor, electronic device 100 will mistakenly identify the object as a human body, thereby erroneously triggering the SAR reduction function, causing electronic device 100 to enter the SAR reduction state. However, when electronic device 100 is in the SAR reduction state when a non-human body approaches, its uplink is restricted, resulting in a decrease in communication quality of electronic device 100.

[0062] In view of this, embodiments of the present application provide a method for adjusting antenna power. This method detects the presence of a living being in proximity to an electronic device by obtaining multiple indicators (such as changes in at least two of capacitance, impedance, and communication parameters), rather than using a single indicator (such as a change in capacitance). This method improves the accuracy of proximity detection, helps prevent false activation of the SAR reduction function, and thus helps ensure antenna communication quality.

[0063] Specifically, the electronic device can obtain the change in at least two of the capacitive sensor's capacitance parameters (such as capacitance value), the antenna's impedance parameters, and the antenna's communication parameters from a first moment to a second moment. Based on the change in these parameters, the electronic device can determine whether a living being is within a distance from the electronic device that is less than or equal to a preset distance (i.e., determine whether a living being is near the electronic device). If a living being is within a distance from the electronic device that is less than or equal to the preset distance, the antenna's signal transmission power is adjusted from the current first power to a second power, where the second power is less than the first power. If a living being is not within a distance from the electronic device that is less than or equal to the preset distance, the antenna's signal transmission power is not adjusted.

[0064] It is understandable that when a living being approaches an electronic device, the capacitance parameters of the electronic device's capacitive sensor, the impedance parameters of the antenna, and the communication parameters of the antenna will be affected by the living being and change accordingly. Therefore, the changes in the capacitance parameters of the electronic device's capacitive sensor, the impedance parameters of the antenna, and the communication parameters of the antenna are related to the distance between the living being and the electronic device. Detecting the presence of a living being approaching the electronic device by changes in at least two of these parameters, rather than by changes in only one parameter (such as the capacitance parameter), can improve the accuracy of detecting the proximity of a living being, thereby ensuring the accuracy of adjusting the signal transmission power of the antenna. In this way, the radiation effect of the signal transmitted by the antenna on the living being can be reduced when the living being approaches the electronic device, while ensuring the communication quality of the antenna when the living being is not approaching the electronic device.

[0065] In some embodiments, the communication parameters may include at least one of the following: reference signal received power (RSRP), signal to noise ratio (SNR), block error rate (BLER), data transfer rate (DTR), signal attenuation (PL), physical uplink control channel transmission power (PUCCH Tx Power), physical uplink shared channel path loss (PUSCH PL), physical uplink shared channel transmission power (PUSCH Tx Power), number of resource blocks (RBs), packet data convergence protocol parameters (PDCP), and received signal strength indicator (RSSI).

[0066] Figure 3A According to some embodiments of the present application, a schematic diagram of a signal transceiver circuit is shown. Figure 3BAccording to some embodiments of the present application, a schematic diagram of another signal transceiver circuit is shown. Figure 3A and Figure 3B An exemplary introduction to the signal transceiver circuit of an electronic device is given.

[0067] like Figure 3A and Figure 3B As shown, the signal transceiver circuit 10 of the electronic device 100 includes a power amplifier 11, a filter 12, a coupler 13, an antenna 14, and a switch 15. The output of the power amplifier 11 is connected to the input of the filter 12. The output of the filter 12 is connected to port P1 of the coupler 13. Port P2 of the coupler 13 is connected to the antenna 14. Port P3 of the coupler 13 is connected to terminal K1 of the switch 15. Port P4 of the coupler 13 is connected to terminal K2 of the switch 15. The coupler 13 is a bidirectional coupler. The switch 15 is a single-pole double throw (SPDT) switch.

[0068] The power amplifier 11 is used to amplify the amplitude of the input signal to obtain an amplified signal.

[0069] The filter 12 is used to filter out signals outside a specific frequency range (hereinafter referred to as “filter frequency range” or “passband”).

[0070] The coupler 13 is used to couple the signal reflected by the antenna 14 along the first direction (the direction from the filter 12 toward the antenna 14 ), or to couple the signal reflected by the filter 12 along the second direction (the direction from the antenna 14 toward the filter 12 ).

[0071] The antenna 14 is used to transmit and receive signals.

[0072] The switch 15 is configured to switch to different closing states according to a control signal (eg, SDR_RFFE1_CLK).

[0073] In some embodiments, the filtering frequency range of the filter 12 is within the operating frequency range of the antenna 14. The operating frequency range of the antenna 14 is a frequency range in which the antenna 14 can effectively transmit and receive signals.

[0074] The following combination Figure 3A and Figure 3B The process of obtaining the variation of the impedance parameter of the antenna 14 is described as an example.

[0075] like Figure 3AAs shown, at the first moment, when the signal transceiver circuit 10 transmits signal V1 in the first direction, the K1 and K3 terminals of the switch 15 are connected, and the K2 and K3 terminals are disconnected, and the coupler 13 couples signal V2. Signal V2 is the signal reflected back by the antenna 14 from the signal V1. Then, the electronic device 100 can measure the reflection coefficient S of the antenna 14 within the filtering frequency range of the filter 12 based on the signals V1 and V2. 11 , and based on the reflection coefficient S 11 The impedance Z1 (eg, 50Ω) of the antenna 14 at the frequency point G1 within the filtering frequency range of the filter 12 is determined.

[0076] like Figure 3B As shown, at the second moment, when the antenna 14 receives the signal V3, the K2 and K3 terminals of the switch 15 are connected, and the K1 and K3 terminals are disconnected, and the coupler 13 couples the signal V4. The signal V4 is the signal reflected back by the filter 12 from the signal V3. Then, the electronic device 100 can measure the reflection coefficient S of the antenna 14 within its operating frequency range based on the signals V3 and V4. 22 , and based on the reflection coefficient S 22 Determine the impedance of the antenna 14 at at least one frequency point within its operating frequency range, such as the impedance Z2 at the frequency point G2 and the impedance Z3 at the frequency point G3, where the frequency point G2 is the same as the frequency point G1, the frequency point G3 is different from the frequency point G1, and the frequency point G3 is a frequency point outside the filtering frequency range of the filter 12 and within the operating frequency range of the antenna 14.

[0077] Then, the electronic device 100 can calculate the absolute value of the difference between the impedance Z2 and the impedance Z1 to obtain the actual impedance change ΔZ1 of the antenna 14 from the first moment to the second moment, and calculate the absolute value of the difference between the impedance Z3 and the impedance Z1 to obtain the relative impedance change ΔZ2 of the antenna 14 from the first moment to the second moment. Alternatively, the reflection coefficient S can be used to calculate the actual impedance change ΔZ1 of the antenna 14 from the first moment to the second moment. 11 and the reflection coefficient S 22 The phase difference between the two is used to calculate the actual impedance change ΔZ1 and the relative impedance change ΔZ2 of the antenna 14 from the first moment to the second moment.

[0078] For example, Figure 4 As shown, at the first moment, there is no living being close to the electronic device 100, and the electronic device 100 measures the reflection coefficient S of the antenna 14 at the frequency point G1 = 2.542 GHz. 11 =0.008 / 143.723, impedance Z1=Z0(0.987+j×0.009), which can be expressed as a vector At the second moment, a living being approaches the electronic device 100, and the electronic device 100 measures the reflection coefficient S of the antenna 14 at the frequency G3 = 3.504 GHz.22 =0.774 / (-92.720), impedance Z3=Z0(0.240-j×0.924), which can be expressed as a vector In this case, the relative impedance change of the antenna 14 from the first moment to the second moment △Z2=Z3-Z1=Z0(-0.747+j×0.933) can be expressed as a vector = - .

[0079] In some embodiments, the electronic device may include an impedance matching circuit, which detects the impedance change of the antenna in real time and matches the impedance between the antenna and the feeder (transmission line), thereby reducing the reflection loss of the antenna and improving the transmission efficiency of the signal. Figure 5 An example introduction to the impedance matching circuit of electronic equipment is given.

[0080] Figure 5 According to some embodiments of the present application, a schematic diagram of an impedance matching circuit is shown.

[0081] like Figure 5 As shown, the impedance matching circuit includes a radio frequency front-end module 21, a coupler 13, a sensor integrated circuit (IC) 22, a tuner 23 and an antenna 14. The radio frequency front-end module 21 may include the aforementioned Figure 3A and Figure 3B The power amplifier 11 and filter 12 (not shown) in the figure are used to amplify and filter the transmitted signal. The sensor integrated circuit 22 is used to detect the reflection coefficient of the antenna 14. The tuner 23 is used to match the impedance between the antenna 14 and the feeder.

[0082] In some embodiments, at the first moment, when the electronic device 100 transmits a signal through the RF front-end module 21, the sensor integrated circuit 22 measures the reflection coefficient S of the antenna 14 within the filtering frequency range of the filter 12 by monitoring the signal reflected back by the antenna 14 coupled by the coupler 13. 11 (It can also be expressed as Γ OPT At the second moment, when the electronic device 100 receives a signal through the antenna 14, the sensor integrated circuit 22 measures the reflection coefficient S of the antenna 14 within its operating frequency range by monitoring the signal reflected back by the RF front-end module 21 coupled by the coupler 13. 22 (It can also be expressed as Γ ANT ), then based on the reflection coefficient S 11 and the reflection coefficient S 22The phase difference between them is used to calculate the change in the impedance parameter of the antenna 14 from the first moment to the second moment, such as the actual impedance change ΔZ1 and the relative impedance change ΔZ2 mentioned above.

[0083] For example, Figure 6A According to some embodiments of the present application, the reflection coefficient S measured by the electronic device in the frequency range Band 5 [824 MHz, 894 MHz] is shown. 11 Graph on a Smith chart. Figure 6B According to some embodiments of the present application, the reflection coefficient S measured by the electronic device in the frequency range Band 4 [1710MHz, 2155MHz] is shown. 22 Graph on a Smith chart.

[0084] like Figure 6A As shown, the sensor integrated circuit 22 of the electronic device 100 measures the reflection coefficient S of the antenna 14 in the frequency range Band 5 [824 MHz, 894 MHz] (as an example of the first frequency range) at a first moment. 11 .like Figure 6B As shown, the electrical sensor integrated circuit 22 measures the reflection coefficient S of the antenna 14 in the frequency range Band 4 [1710 MHz, 2155 MHz] (as an example of the second frequency range) at a first moment. 22 The electronic device 100 can be based on the reflection coefficient S 11 and the reflection coefficient S 22 The amount of change in the impedance parameter of the antenna 14 from the first moment to the second moment is determined.

[0085] In some embodiments, the electronic device may input the variation of at least two of the capacitance parameters of the capacitive sensor, the impedance parameters of the antenna, and the communication parameters of the antenna into a trained first model to obtain a corresponding output result, and then determine whether the distance between the living entity and the electronic device is less than or equal to a preset distance based on the output result of the first model. In some embodiments, the first model may include a mapping relationship between the variation of at least two of the capacitance parameters of the capacitive sensor, the impedance parameters of the antenna, and the communication parameters of the antenna, and the distance between the living entity and the electronic device.

[0086] In some embodiments, the output of the first model can be a first value (e.g., a value of 1) or a second value (e.g., a value of 2). The first value indicates that the distance between the electronic device and the non-existing living being is less than or equal to a preset distance, meaning that the electronic device does not require SAR reduction. The second value indicates that the distance between the electronic device and the existing living being is less than or equal to a preset distance, meaning that the electronic device requires SAR reduction. Table 1 below exemplifies how the first and second values ​​are represented:

[0087] Table 1

[0088]

[0089] As shown in Table 1 above, Column A lists the types of objects approaching the electronic device, including the human body with impedances of 0Ω, 5Ω, and 10Ω; wood with impedances of 0Ω, 5Ω, and 10Ω; metal with impedances of 0Ω, 5Ω, and 10Ω; water with impedances of 0Ω, 5Ω, and 10Ω; and plastic with impedances of 0Ω, 5Ω, and 10Ω. Columns B through I list the antenna impedance values ​​at different frequencies when a human body is approaching the electronic device. 500m_R in Column B and 500m_I in Column C represent the real and imaginary parts of the antenna impedance at 500MHz, respectively. 1000m_R in Column D and 1000m_I in Column E represent the real and imaginary parts of the antenna impedance at 1000MHz, respectively. 2000m_R in Column F and 2000m_I in Column G represent the real and imaginary parts of the antenna impedance at 2000MHz, respectively. The 4000m_R in column H and the 4000m_I in column I represent the real and imaginary parts of the antenna impedance at 4000MHz, respectively. Column J represents the capacitance (CAP) of the capacitive sensor when a person approaches the electronic device. A value of 2 in column K indicates that a person is detected approaching the electronic device and SAR reduction is required. A value of 1 in column K indicates that a person is not detected approaching the electronic device and SAR reduction is not required.

[0090] The training process of the first model is exemplarily introduced below using the aforementioned multiple parameters including the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the communication parameter of the antenna as an example, but the present application is not limited thereto.

[0091] In some embodiments, when the distance between the living body and the electronic device is less than or equal to the preset distance, the capacitance parameter C of the capacitive sensor is obtained. 11 , antenna impedance parameter Z 11 and antenna communication parameters T 11 Then, when the distance between the living body and the electronic device is less than or equal to the preset distance, the capacitance parameter C of the capacitive sensor is obtained. 22 , antenna impedance parameter Z 22 and antenna communication parameters T 22 Then, calculate the capacitance parameter C of the capacitive sensor 11 and capacitance parameter C 22 The absolute value of the difference between the two is used to obtain the change in capacitance parameter △C of the capacitive sensor. 12 . And, calculate the antenna impedance parameter Z 11 With Z 22 The absolute value of the difference between the two is used to obtain the change in the antenna impedance parameter Z12 . And calculate the antenna communication parameters T 11 and communication parameter T 22 The absolute value of the difference between them is used to obtain the change in the antenna communication parameters T 12 Then, the capacitance parameter change of the capacitive sensor △C 12 , the change in the antenna's impedance parameter Z 12 and the change in the antenna communication parameters T 12 As sample data for training the first model.

[0092] In some embodiments, sample data (e.g., in the form of a matrix) can be input into a first model to be trained to obtain a predicted value output by the first model (hereinafter referred to as a "prediction enabling parameter"). Then, based on the error between the predicted value output by the first model and the true value corresponding to the predicted value (hereinafter referred to as the "enabling parameter"), the parameters of the first model (e.g., weight parameters, etc.) can be adjusted to obtain a trained first model.

[0093] For example, the error parameter between the predicted enabling parameter and the enabling parameter of the first model can be calculated by the formula: predicted enabling parameter - enabling parameter = error parameter, and then the parameters of the first model can be adjusted according to the error parameter until the error parameter is minimized, such as a value of 0, or the error parameter is less than or equal to the error parameter threshold, and the training of the first model is terminated to obtain the trained first model. Alternatively, the corresponding loss function can be calculated based on the error parameter, and then the parameters of the first model can be adjusted based on the loss function until the loss function converges, and the training of the first model is terminated to obtain the trained first model. Alternatively, the prediction effect of the first model can achieve the expected effect, or the training of the first model can be terminated after the number of training reaches a preset number of times to obtain the trained first model.

[0094] In some embodiments, during the training of the first model, the weight parameters of each network layer of the first model can be adjusted so that the total error between the output data of all network layers of the first model and their corresponding label data can be minimized. In addition, the backpropagation algorithm or the gradient descent algorithm can be used to optimize the weight parameters of each network layer to achieve feedforward calibration of the first model and improve the training effect of the first model.

[0095] In some embodiments, during the training of the first model, the prediction enabling parameters output by the first model may be normalized using the following formula (3) to obtain corresponding normalized values. Then, the prediction enabling parameters whose normalized values ​​are outside a preset range (e.g., 0.5% to 99.5%) are eliminated, and the first model is then trained based on the eliminated prediction enabling parameters.

[0096] (3)

[0097] in, For the The normalized value of the prediction-enabling parameter, is the smallest prediction enabling parameter among the K prediction enabling parameters, is the largest prediction enabling parameter among the K prediction enabling parameters, where K is the number of prediction enabling parameters.

[0098] In some embodiments, during the training of the first model, the average value of all predicted enabling parameters is calculated as the center of gravity of the predicted enabling parameters. When the predicted enabling parameter is less than the center of gravity of the enabling parameter, it indicates that SAR reduction is not required. When the predicted enabling parameter is greater than or equal to the center of the enabling parameter, it indicates that SAR reduction is required.

[0099] It is understandable that the training process of the first model can be completed locally or on other devices, and there is no limitation on this.

[0100] In some embodiments, when a user is using an electronic device and the distance between the user and the electronic device is less than or equal to a preset distance, the electronic device may collect changes in the aforementioned multiple parameters as sample data. The first model is then trained using this previously collected sample data during the electronic device's idle time (i.e., when the user is not using the device). This allows the first model to be trained based on the user's usage habits, gradually improving its accuracy.

[0101] The structure of the first model is exemplarily introduced below.

[0102] Figure 7 According to some embodiments of the present application, a structural example diagram of a first model is shown.

[0103] like Figure 7 As shown, the first model includes an input layer, a hidden layer and an output layer. The hidden layer includes multiple neuron layers, such as Figure 7The hidden layer in the model includes three neural layers. Each neuron layer is composed of multiple neurons. In the process of the first model processing the input data (such as the change in the aforementioned multiple parameters), each neuron layer of the hidden layer of the first model can perform neuron conversion processing on its input data, such as weighted summation processing and nonlinear conversion processing, and perform neuron aggregation processing (such as data fusion processing) on ​​the converted results to obtain the corresponding output results, and pass them to the next neuron layer for neuron conversion processing and neuron aggregation processing. After each neuron layer in the hidden layer completes its corresponding data processing task, it outputs the corresponding prediction result. In some embodiments, in the process of training the first model, reverse weights can be assigned according to the error amount of each neuron layer, weighted average can be performed on the outputs of multiple layers, and error correction values ​​can be superimposed to improve accuracy.

[0104] In some embodiments, as Figure 8 As shown, the neuron layer can use the following formula (4) to perform weighted summation processing on its input data:

[0105] (4)

[0106] in, is the number of input data, The first neuron layer Input data, For the The weight of the input data, is the preset bias term, is the index of the input data, is the output data of the neuron layer.

[0107] It can be understood that each neuron layer in the hidden layer of the first model can adopt the same or different activation functions to expand the adaptability of the input data.

[0108] Two activation functions are introduced below as examples, but the present application is not limited thereto.

[0109] (1) Activation function 1:

[0110] In some embodiments, the activation function The calculation formula is as follows:

[0111] (5)

[0112] in, is a natural constant, is a constant coefficient that controls the steepness of the activation function.

[0113] Figure 9AAccording to some embodiments of the present application, a curve diagram of activation function 1 is shown. Figure 9A As shown, the activation function The value is between [-1, 1].

[0114] (2) Activation function 2:

[0115] In some embodiments, activation function 2 The calculation formula is as follows:

[0116] (6)

[0117] Figure 9B According to some embodiments of the present application, a curve diagram of activation function 2 is shown. Figure 9A As shown, the activation function The value of is between [0, 1].

[0118] It can be understood that in addition to judging whether the distance between a living being and an electronic device is less than or equal to the preset distance based on the above model prediction method, it is also possible to judge whether the distance between a living being and an electronic device is less than or equal to the preset distance based on a threshold method.

[0119] In some embodiments, after the electronic device obtains the changes in the aforementioned multiple parameters, it can use a threshold comparison method to determine whether the distance between the living being and the electronic device is less than or equal to a preset distance. If the changes in at least two parameters are greater than or equal to their respective thresholds, it is determined that the distance between the living being and the electronic device is less than or equal to the preset distance. If the changes in less than two parameters are greater than or equal to their respective thresholds, it is determined that the distance between the living being and the electronic device is less than or equal to the preset distance.

[0120] For example, in a case where the electronic device obtains a change in the capacitance parameter of a capacitive sensor and the impedance parameter of an antenna, if the change in the capacitance parameter of the capacitive sensor is greater than or equal to a capacitance parameter change threshold, and the change in the impedance parameter of the antenna is greater than or equal to the impedance parameter change threshold, then it is determined that the distance between the living entity and the electronic device is less than or equal to a preset distance. If the change in the capacitance parameter of the capacitive sensor is less than the capacitance parameter change threshold, and / or the change in the impedance parameter of the antenna is less than the impedance parameter change threshold, then it is determined that the distance between the living entity and the electronic device is less than or equal to the preset distance.

[0121] The technical solution of this application is introduced below with reference to specific embodiments.

[0122] Figure 10According to some embodiments of the present application, a flow chart of a method for adjusting antenna power is shown. The execution subject of the method is an electronic device, which includes a capacitive sensor and an antenna. Figure 10 As shown, the method includes:

[0123] S101: Obtain changes in multiple parameters of an electronic device from a first moment to a second moment, wherein the changes in the multiple parameters are related to the distance from the living body to the electronic device, and the multiple parameters include at least two of a capacitance parameter of a capacitive sensor, an impedance parameter of an antenna, and a communication parameter of the antenna.

[0124] The electronic device may obtain a change in at least two parameters among a capacitance parameter of the capacitive sensor, an impedance parameter of the antenna, and a communication parameter of the antenna from the first moment to the second moment.

[0125] Regarding the change in impedance parameter, the electronic device can control the antenna to transmit a signal within a first frequency range at a first moment and obtain the impedance of the antenna at a first frequency point within the first frequency range. Then, at a second moment, the electronic device can control the antenna to transmit and receive a signal within a second frequency range and obtain the impedance of the antenna at at least one frequency point within the second frequency range. The electronic device can then calculate the absolute value of the difference between the impedance of the antenna at the first frequency and the impedance of the antenna at the at least one frequency point to obtain the change in at least one impedance parameter of the antenna. The specific acquisition process can be found in the aforementioned description of the method for obtaining the change in the impedance parameter of the antenna, and will not be further elaborated here.

[0126] S102: Based on the changes in the multiple parameters, determine whether the distance between the living body and the electronic device is less than or equal to the preset distance. If so, execute S103. If not, execute no processing.

[0127] After obtaining the change in at least two of the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the communication parameter of the antenna from the first moment to the second moment, the electronic device can determine, based on the change in the at least two parameters, whether the distance between the living being and the electronic device is less than or equal to a preset distance. If the distance between the living being and the electronic device is less than or equal to the preset distance, the electronic device needs to reduce the SAR and subsequently execute S103. If the distance between the living being and the electronic device is less than or equal to the preset distance, the electronic device does not need to reduce the SAR and does not need to perform any other processing.

[0128] In some embodiments, the electronic device is equipped with the aforementioned first model. The electronic device may input the acquired changes in the multiple parameters into the first model to obtain an output result of the first model, and then determine whether a distance between the living being and the electronic device is less than or equal to a preset distance based on the output result of the first model.

[0129] In other embodiments, the electronic device may use the aforementioned threshold comparison method to determine whether the distance between the living being and the electronic device is less than or equal to a preset distance.

[0130] S103: Adjust the signal transmission power of the antenna from the current first power to a second power, where the second power is less than the first power.

[0131] When the electronic device detects that the distance between the living body and the electronic device is less than or equal to the preset distance, the electronic device can trigger the SAR reduction function to adjust the signal transmission power of the antenna from the current first power to the second power, where the second power is less than the first power.

[0132] In an embodiment of the present application, the electronic device determines whether the distance between a living being and the electronic device is less than or equal to a preset distance by obtaining the change in multiple parameters from the first moment to the second moment, such as the change in the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the communication parameter of the antenna. That is, by detecting whether a living being is approaching the electronic device through multiple indicators rather than detecting through a single indicator, the accuracy of the detection of the proximity of a living being can be improved, which is beneficial to avoiding the electronic device from accidentally triggering the SAR reduction function, and thus, when there is no living being approaching the electronic device, it is beneficial to avoid the communication quality of the electronic device being affected by the accidental triggering of the SAR reduction function.

[0133] Figure 11 According to some embodiments of the present application, a schematic structural diagram of an electronic device is shown.

[0134] like Figure 11 As shown, the electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 01, an antenna 02, a mobile communication module 150, a wireless communication module 160, a sensor module 180, and a display screen 194. The sensor module 180 may include a capacitive sensor 180A.

[0135] Antenna 01 or antenna 02 may be the antenna 14 mentioned above.

[0136] In some embodiments, when electronic device 100 uses antenna 01 to transmit and receive signals, electronic device 100 may obtain the change in at least two of the capacitance parameter of capacitive sensor 180A, the impedance parameter of antenna 01, and the communication parameter from a first moment to a second moment. Based on the obtained parameter changes, electronic device 100 may then determine whether the distance between a living being and electronic device 100 is less than or equal to a preset distance. If so, the signal transmission power of antenna 01 is reduced. If not, no action is taken.

[0137] Similarly, when electronic device 100 uses antenna 02 to transmit and receive signals, electronic device 100 can obtain the change in at least two of the capacitance parameter of capacitive sensor 180A, the impedance parameter of antenna 02, and the communication parameter from a first moment to a second moment. Based on the obtained parameter changes, electronic device 100 can then determine whether the distance between a living being and electronic device 100 is less than or equal to a preset distance. If so, the signal transmission power of antenna 02 is reduced. If not, no action is taken.

[0138] It should be understood that the structures illustrated in the embodiments of the present application do not constitute a specific limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may include more or fewer components than shown, or may combine or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0139] The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (AP), a modem processor, a graphics processor (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU).

[0140] The charging management module 140 is configured to receive charging input from a charger, which may be a wireless charger or a wired charger.

[0141] The power management module 141 is used to connect the battery 142, the charging management module 140, and the processor 110. The power management module 141 receives input from the battery 142 and / or the charging management module 140 to provide power to the processor 110, the internal memory 121, the display 194, the camera 193, the mobile communication module 150, the wireless communication module 160, and the like.

[0142] The wireless communication function of the electronic device 100 can be implemented through the antenna 01, the antenna 02, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor.

[0143] The mobile communication module 150 can provide solutions for wireless communications such as 2G / 3G / 4G / 5G for the electronic device 100. The wireless communication module 160 can provide solutions for wireless communications such as wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), and infrared (IR) for the electronic device 100.

[0144] The electronic device 100 implements a display function through a GPU, a display screen 194 , and an application processor, etc. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and the application processor.

[0145] The display screen 194 is used to display images, videos, etc. The display screen 194 includes a display panel. In some embodiments, the electronic device 100 may include one or N display screens 194, where N is a positive integer greater than one.

[0146] The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100.

[0147] The internal memory 121 can be used to store computer executable program codes, which include instructions. The internal memory 121 can include a program storage area and a data storage area.

[0148] Program code can be applied to input instructions to perform the functions described herein and generate output information. The output information can be applied to one or more output devices in a known manner. For purposes of this application, a processing system includes any system having a processor such as, for example, a digital signal processor, a microcontroller, an application specific integrated circuit, or a microprocessor.

[0149] Program code can be implemented with a high-level programming language or an object-oriented programming language to communicate with the processing system. Where necessary, program code can also be implemented in assembly language or machine language. In fact, the mechanism described in this application is not limited to the scope of any particular programming language. In either case, the language can be a compiled language or an interpreted language.

[0150] The various embodiments disclosed in this application can be implemented in hardware, software, firmware, or a combination of these implementation methods. The embodiments of this application can be implemented as a computer program or program code executed on a programmable system, which includes at least one processor, a storage system (including volatile and non-volatile memory and / or storage elements), at least one input device, and at least one output device.

[0151] An embodiment of the present application further provides a readable storage medium having instructions stored thereon, which, when executed on a computer, enables the computer to implement the methods provided in the aforementioned embodiments.

[0152] An embodiment of the present application further provides a computer program product, which includes computer program code. When the computer program code is executed, the computer executes the methods provided in the aforementioned embodiments.

[0153] An embodiment of the present application also provides a chip, which includes a processor coupled to a memory and configured to execute computer programs or instructions stored in the memory, so that the chip implements the methods provided in the aforementioned embodiments.

[0154] In some cases, the disclosed embodiments may be implemented in hardware, firmware, software, or any combination thereof. The disclosed embodiments may also be implemented as instructions carried by or stored on one or more transitory or non-transitory machine-readable (e.g., computer-readable) storage media, which can be read and executed by one or more processors. For example, the instructions may be distributed over a network or via other computer-readable media. Thus, a machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer), including but not limited to floppy disks, compact disks, optical discs, read-only memory, magneto-optical disks, read-only memory, random access memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, magnetic or optical cards, flash memory, or tangible machine-readable storage for transmitting information via the Internet using electrical, optical, acoustic, or other propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.). Thus, a machine-readable medium includes any type of machine-readable medium suitable for storing or transmitting electronic instructions or information in a form readable by a machine (e.g., a computer).

[0155] In the accompanying drawings, some structural or method features may be shown in a particular arrangement and / or order. However, it should be understood that such a particular arrangement and / or order may not be required. Rather, in some embodiments, these features may be arranged in a manner and / or order different from that shown in the illustrative drawings. In addition, the inclusion of a structural or method feature in a particular figure does not imply that such feature is required in all embodiments, and in some embodiments, such features may not be included or may be combined with other features.

[0156] It should be noted that the units / modules mentioned in the various device embodiments of the present application are all logical units / modules. Physically, a logical unit / module can be a physical unit / module, or a part of a physical unit / module, or can be implemented as a combination of multiple physical units / modules. The physical implementation of these logical units / modules themselves is not the most important. The combination of functions implemented by these logical units / modules is the key to solving the technical problems raised by this application. In addition, in order to highlight the innovative part of this application, the above-mentioned device embodiments of this application do not introduce units / modules that are not closely related to solving the technical problems raised by this application. This does not mean that other units / modules do not exist in the above-mentioned device embodiments.

[0157] It should be noted that in the examples and description of the present application, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a" does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0158] While the present application has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the present application.

Claims

1. A method for adjusting antenna power, characterized in that: For an electronic device comprising a capacitive sensor and an antenna, the method comprising: Obtaining changes in multiple parameters of the electronic device from a first moment to a second moment, wherein the changes in the multiple parameters are related to a distance from the living body to the electronic device; Determining, based on the changes in the multiple parameters, that the distance between the living being and the electronic device is less than or equal to a preset distance; Adjusting the signal transmission power of the antenna from a current first power to a second power, wherein the second power is less than the first power; The plurality of parameters include at least two of a capacitance parameter of the capacitive sensor, an impedance parameter of the antenna, and a communication parameter of the antenna; The communication parameters include at least one of the following: reference signal received power, signal-to-noise ratio, block error rate, data transmission rate, signal attenuation degree, physical uplink control channel transmit power, physical uplink shared channel path loss, physical uplink shared channel transmit power, number of resource blocks, packet data convergence protocol parameters, and received signal strength indication.

2. The method according to claim 1, characterized in that The obtaining of changes in multiple parameters of the electronic device from the first moment to the second moment includes: controlling the antenna to transmit a signal within a first frequency range at the first moment, and obtaining the impedance of the antenna at a first frequency point within the first frequency range; controlling the antenna to receive signals within a second frequency range at the second moment, and obtaining the impedance of the antenna at at least one frequency point within the second frequency range; An absolute value of a difference between an impedance of the antenna at the first frequency point and an impedance of the antenna at the at least one frequency point is calculated to obtain a change in at least one impedance parameter of the antenna.

3. The method according to claim 2, characterized in that The first frequency range is within the second frequency range.

4. The method according to claim 3, characterized in that The electronic device further includes a filter, which is arranged before the antenna, wherein the first frequency range is a filtering frequency range of the filter, and the second frequency range is an operating frequency range of the antenna.

5. The method according to any one of claims 1 to 4, characterized in that The determining, based on the changes in the plurality of parameters, that the distance between the living being and the electronic device is less than or equal to a preset distance includes: Corresponding to the fact that the change amounts of at least two parameters among the change amounts of the multiple parameters are greater than or equal to their respective corresponding thresholds, it is determined that the distance between the living being and the electronic device is less than or equal to the preset distance.

6. The method according to any one of claims 1 to 4, characterized in that The electronic device is deployed with a first model, the first model including a mapping relationship between the variation of the plurality of parameters and the distance between the living body and the electronic device, Furthermore, determining that the distance between the living being and the electronic device is less than or equal to a preset distance based on the changes in the multiple parameters includes: The changes in the multiple parameters are input into the first model to obtain an output result of the first model, wherein the output result of the first model indicates that the distance between the living body and the electronic device is less than or equal to the preset distance.

7. An electronic device, characterized in that: include: a memory for storing instructions; The processor, when executing the instructions in the memory, causes the electronic device to perform the method according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to perform the method according to any one of claims 1 to 6.

9. A computer program product, characterized in that The method comprises a computer program code, which, when executed, causes a computer to perform the method according to any one of claims 1 to 6.

10. A chip, characterized in that: The chip comprises a processor coupled to a memory and configured to execute a computer program or instruction stored in the memory, so that the chip implements the method according to any one of claims 1 to 6.

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