Antenna power adjusting method, electronic equipment, medium, program product and chip

Abstract

The invention relates to the technical field of communication, and provides an antenna power adjusting method, electronic equipment, a medium, a program product and a chip. According to the method, based on variable quantities of multiple parameters of the electronic equipment from a first moment to a second moment, such as variable quantities of at least two parameters of a capacitance parameter of a capacitive sensor, an impedance parameter of an antenna and a communication parameter of the antenna, whether the distance between a life entity and the electronic equipment is smaller than or equal to a preset distance exists or not is detected; when it is detected that the distance between the life body and the electronic equipment is smaller than or equal to the preset distance, the signal transmitting power of the antenna is adjusted to second power from current first power, and the second power is smaller than the first power. Whether the life body approaches to the electronic equipment is detected through the variable quantity of the multiple parameters of the electronic equipment, the accuracy of life body approaching detection can be improved, the accuracy of signal transmitting power adjustment of the antenna can be improved, and the communication quality of the antenna can be guaranteed.

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] Specific Absorption Rate (SAR) refers to the electromagnetic radiation energy absorbed by a unit mass of material per unit time. The larger the SAR value, the greater the electromagnetic radiation energy absorbed by a unit mass of material per unit time. Conversely, the smaller the SAR value, the smaller the electromagnetic radiation energy absorbed by a 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 there is a living being 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 there is no living being 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 aspects can be referenced to each other.

[0006] In a first aspect, the present application provides a method for adjusting antenna power for an electronic device, the electronic device comprising a capacitive sensor and an antenna, the method comprising: obtaining a change in multiple parameters of the electronic device from a first moment to a second moment, wherein the change in the multiple parameters is related to the distance from the living body to the electronic device; based on the change in the 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 a 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, etc.) approaches an electronic device, that is, when the distance from the living being to the electronic device is less than or equal to a preset distance, the capacitance parameter (capacitance value) of the capacitive sensor of the electronic device, 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 of these parameters is related to the distance from the living being to the electronic device. The electronic device obtains the change in at least two parameters 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 there is a living being approaching the electronic device based on the change in these parameters. Compared with only one indicator (such as the change in the capacitance parameter) to detect whether there is a living being approaching the electronic device, the accuracy is higher. In this way, the accuracy of the antenna adjusting the signal transmission power can be improved, so that the electronic device can accurately reduce the signal transmission power when the living being approaches the electronic device, thereby avoiding the electronic device from falsely triggering the SAR reduction function when the living being is not close to the electronic device, affecting the communication quality of the antenna.

[0008] In some embodiments, obtaining the change amount of 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 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; 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, and obtaining the change amount of 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, and then 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 the change in impedance parameter of the antenna at at least one frequency point within the second frequency range relative to the 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 may include a third frequency point that is different from the first frequency point. The second frequency point may be a frequency point within the first frequency range. The third frequency point may be a frequency point outside the first frequency range and within the second frequency range. 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, the change in impedance parameter obtained is the actual impedance change of the antenna from the first moment to the second moment. 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, the change in impedance parameter obtained is the relative impedance change 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 amount may include relative impedance change information of the antenna outside the first frequency range and within the second frequency range. By calculating the relative impedance change amount of the antenna, the relative impedance change information of the antenna outside the first frequency range can be obtained, thereby obtaining more impedance change information, and detecting whether there is a living being approaching the electronic device through more impedance change information has higher 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 and 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 point) relative to the passband impedance of the antenna (ie, the impedance of the antenna at a frequency point within the passband).

[0014] By calculating the relative impedance change of the antenna, impedance change information with a larger frequency range can be obtained, for example, the out-of-band relative impedance change information of the antenna. By obtaining impedance change information with a larger frequency range, it is possible to detect whether there is a living being approaching the electronic device 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 indication.

[0015] Providing different communication parameters as indicators for life approach detection can be applicable to different communication scenarios and has good applicability.

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

[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 judged 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 change 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, and the output result of the first model is used to determine whether the distance between a living being 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, an embodiment of the present application provides an electronic device, comprising: a memory for storing instructions executed by one or more processors of the electronic device; and a processor, when the processor executes the instructions in the memory, the electronic device can execute the method described in the first aspect of the present application. The beneficial effects that can be achieved in the second aspect can refer to the beneficial effects of the method provided in any embodiment of the first aspect, and will not be repeated here.

[0021] In a third aspect, the present application provides a computer-readable storage medium on which instructions are stored, and when the instructions are executed on a computer, the computer can execute the method described in any embodiment of the first aspect. The beneficial effects that can be achieved in the third aspect can refer to the beneficial effects of the method provided in any embodiment of the first aspect, and will not be repeated here.

[0022] In a fourth aspect, the embodiments of the present application provide a computer program product, wherein the computer program product includes a computer program code, and 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 that can be achieved in the fourth aspect can refer to the beneficial effects of the method provided in any embodiment of the first aspect, and will not be repeated here.

[0023] In a fifth aspect, an embodiment of the present application provides a chip, including a processor, the processor is coupled to a memory, and is used 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 that can be achieved in the fifth aspect can refer to the beneficial effects of the method provided in any embodiment of the first aspect, and will not be repeated 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; Figure 2 According to some embodiments of the present application, a schematic diagram of an application scenario is shown; Figure 3A According to some embodiments of the present application, a schematic diagram of a signal transceiver circuit is shown; Figure 3B According to some embodiments of the present application, a schematic diagram of another signal transceiver circuit is shown; Figure 4 According to some embodiments of the present application, a Smith chart is shown; Figure 5 According to some embodiments of the present application, a schematic diagram of an impedance matching circuit is shown; Fig. 6AAccording 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 curves in 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 [1710 MHz, 2155 MHz] is shown. 22 Plot of the curves in a Smith chart; Figure 7 According to some embodiments of the present application, a structural example diagram of a first model is shown; Figure 8 According to some embodiments of the present application, a structural example diagram of a neuron layer is shown; Fig.9A According to some embodiments of the present application, a graph of activation function one is shown; Fig. 9B According to some embodiments of the present application, a graph of activation function two is shown; Fig.10 According to some embodiments of the present application, a flow chart of a method for adjusting antenna power is shown; Fig.11 According to some embodiments of the present application, a schematic structural diagram of an electronic device is shown. DETAILED DESCRIPTION

[0025] The embodiment of the present application is used to provide a method for adjusting antenna power. The method for adjusting antenna power provided by the embodiment of the present application is introduced below in conjunction with a specific embodiment.

[0026] For ease of understanding, the terms involved in this application are explained below:

[0027] (1) Impedance

[0028] The impedance of an antenna is the electrical impedance characteristic presented by the antenna at its feed point (such as the input end), which can be expressed as Z=R+jX, where Z is the impedance. R is the resistance (real part), which represents the part of energy dissipation. X is the reactance (imaginary part), which affects the phase of the signal. j is the imaginary unit. The resistance part is mainly composed of radiation resistance (energy radiated by the antenna into free space) and loss resistance (energy loss in materials and structures). The reactance part can be inductive or capacitive, which is related to the size, shape and operating frequency of the antenna.

[0029] (2) S parameters

[0030] S parameters are used to describe the signal transmission and reflection characteristics between different ports of a network or device.

[0031] Combine the following Figure 1 The S parameters are introduced in detail.

[0032] like Figure 1 As shown, the device under test (DUT) includes port 1 and port 2. The impedance of the transmission line is Z = Z 0 . Optionally, Ω. Impedance of the test equipment Z≠Z 0 Due to the different impedances of the transmission line and the test equipment, reflection will occur when the signal is transmitted from the transmission line to port 1 or port 2 of the test equipment, and the signal transmitted in the test equipment will have a certain loss. 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 After being transmitted by the test equipment, the output signal V t , and the port 1 of the device under test reflects the signal V r .

[0033] 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 .

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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): (1)

[0038] Likewise, the input impedance of port 2 of the test device is and reflection coefficient S 22 The relationship between is shown in the following formula (2): (2)

[0039] The method provided in the embodiment 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), etc. For example, the electronic device can be a mobile phone, a smart TV, a wearable device, a tablet computer (Pad), 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, etc. The embodiment of the present application does not limit the specific form of the electronic device. The mobile phone is used as an example of an electronic device for explanation below.

[0040] Figure 2 According to some embodiments of the present application, a schematic diagram of an application scenario is shown.

[0041] 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.

[0042] In some embodiments, the electronic device 100 can detect whether there is a human body approaching the electronic device 100 through a built-in SAR sensor (a capacitive sensor), that is, detect whether there is a distance between the human body and the electronic device 100 that is less than or equal to a preset distance.

[0043] The detection principle of SAR sensor is introduced below:

[0044] The SAR sensor consists of two electrodes (such as copper sheets) and an insulating layer. When a human body (such as a finger) approaches the SAR sensor, the human body forms a coupling capacitor between the two electrodes of the SAR sensor. This coupling capacitor is connected in parallel with the original capacitance of the SAR sensor, which changes the total capacitance of the SAR sensor. Therefore, the SAR sensor can determine whether a human body is approaching by measuring the change in the total capacitance.

[0045] However, the size of the coupling capacitance formed by the human body and the two electrodes of the SAR sensor is easily affected by many factors (such as body shape, clothing, types of surrounding objects, etc.). It is difficult to set an accurate capacitance change threshold to distinguish the type of connected objects. The accuracy is low and it is easy to falsely trigger the SAR reduction function, affecting the communication quality.

[0046] For example, when an object (such as clothing, etc.) approaches the 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 the human body and the SAR sensor, the electronic device 100 will mistakenly identify the object as a human body, thereby mistakenly triggering the SAR reduction function, causing the electronic device 100 to enter the SAR reduction state. When the electronic device 100 is in the SAR reduction state when a non-human body approaches, its uplink will be limited, resulting in a decrease in the communication quality of the electronic device 100.

[0047] In view of this, an embodiment of the present application provides a method for adjusting antenna power. The method detects whether a living being is close to an electronic device by acquiring multiple indicators (such as the change in at least two parameters among capacitance parameters, impedance parameters, and communication parameters), rather than detecting whether a living being is close to an electronic device by a single indicator (such as the change in capacitance parameters). This method can improve the accuracy of life approach detection, help avoid false triggering of the SAR reduction function, and thus help ensure the communication quality of the antenna.

[0048] Specifically, the electronic device can obtain the change in at least two parameters from the first moment to the second moment of the capacitance parameter (such as capacitance value) of the capacitive sensor, the impedance parameter of the antenna, and the antenna communication parameter, and then determine whether there is a life form whose distance to the electronic device is less than or equal to the preset distance (that is, determine whether there is a life form close to the electronic device) based on the change in these parameters. If there is a life form whose distance to 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. If there is no life form whose distance to the electronic device is less than or equal to the preset distance, the signal transmission power of the antenna is not adjusted.

[0049] It can be understood that when there is an electronic device approaching a living being, the capacitance parameters of the capacitive sensor of the electronic device, 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 change in the capacitance parameters of the capacitive sensor of the electronic device, the impedance parameters of the antenna, and the communication parameters of the antenna are related to the distance from the living being to the electronic device. By detecting whether there is a living being approaching the electronic device through the change in at least two of the parameters, rather than detecting whether there is a living being approaching the electronic device through the change in only one parameter (such as the capacitance parameter), the accuracy of the detection of the proximity of the living being can be improved, thereby ensuring the accuracy of the adjustment of the signal transmission power of the antenna. In this way, the radiation effect of the signal emitted by the antenna on the living being can be reduced when the living being is approaching the electronic device, and the communication quality of the antenna can be ensured when the living being is not approaching the electronic device.

[0050] 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).

[0051] Figure 3A According to some embodiments of the present application, a schematic diagram of a signal transceiver circuit is shown. Figure 3B According to some embodiments of the present application, another schematic diagram of a signal transceiver circuit is shown. Figure 3A and Figure 3B An exemplary introduction to the signal transceiver circuit of an electronic device is given.

[0052] 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 end of the power amplifier 11 is connected to the input end of the filter 12. The output end of the filter 12 is connected to the port P1 of the coupler 13. The port P2 of the coupler 13 is connected to the antenna 14. The port P3 of the coupler 13 is connected to the K1 end of the switch 15. The port P4 of the coupler 13 is connected to the K2 end of the switch 15. The coupler 13 is a bidirectional coupler. The switch 15 is a single pole double throw (SPDT) switch.

[0053] The power amplifier 11 is used to amplify the amplitude of the input signal to obtain an amplified signal.

[0054] The filter 12 is used to filter out signals outside a specific frequency range (hereinafter referred to as “filter frequency range” or “passband”).

[0055] The coupler 13 is used to couple the signal reflected by the antenna 14 along the first direction (the direction from the filter 12 to the antenna 14 ), or to couple the signal reflected by the filter 12 along the second direction (the direction from the antenna 14 to the filter 12 ).

[0056] The antenna 14 is used to transmit and receive signals.

[0057] The switch 15 is used to switch to different closing states according to a control signal (such as SDR_RFFE1_CLK).

[0058] 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.

[0059] Combine the following Figure 3A and Figure 3B The process of obtaining the change in the impedance parameter of the antenna 14 is exemplarily introduced.

[0060] like Figure 3A As shown, at the first moment, when the signal transceiver circuit 10 transmits the signal V1 in the first direction, the K1 terminal and the K3 terminal of the switch 15 are connected, the K2 terminal and the K3 terminal are disconnected, and the coupler 13 couples the signal V2. The signal V2 is the signal reflected back by the antenna 14. Then, the electronic device 100 can measure the reflection coefficient S of the antenna 14 within the filtering frequency range of the filter 12 according to the signal V1 and the signal 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.

[0061] like Figure 3B As shown, at the second moment, when the antenna 14 receives the signal V3, the K2 terminal and the K3 terminal of the switch 15 are turned on, the K1 terminal and the K3 terminal are turned off, and the coupler 13 couples the signal V4. The signal V4 is the signal reflected back by the filter 12. Then, the electronic device 100 can measure the reflection coefficient S of the antenna 14 within its operating frequency range according to 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, wherein 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.

[0062] 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 ΔZ of the antenna 14 from the first moment to the second moment. 1 , and calculate the absolute value of the difference between the impedance Z3 and the impedance Z1 to obtain the relative impedance change △Z of the antenna 14 from the first moment to the second moment 2 , or, alternatively, according to the reflection coefficient S 11 and the reflection coefficient S 22 The phase difference between the two is used to calculate the actual impedance change △Z of the antenna 14 from the first moment to the second moment. 1 and relative impedance change △Z 2 .

[0063] 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=Z 0 (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 point G3 = 3.504 GHz. 22 =0.774 / (-92.720), impedance Z3=Z 0 (0.240-j×0.924), which can be expressed as a vector In this case, the relative impedance change ΔZ of the antenna 14 from the first moment to the second moment is 2 =Z3-Z1=Z 0 (-0.747+j×0.933), which can be expressed as a vector = - .

[0064] In some embodiments, the electronic device may include an impedance matching circuit, which detects the impedance change of the antenna in real time to match 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 impedance matching circuit for electronic equipment is exemplarily introduced.

[0065] Figure 5 According to some embodiments of the present application, a schematic diagram of an impedance matching circuit is shown.

[0066] 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 the filter 12 (not shown in the figure) are used to amplify and filter the transmission 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.

[0067] 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 22 The phase difference between the two is calculated to obtain the change in the impedance parameter of the antenna 14 from the first moment to the second moment, such as the actual impedance change △Z 1 and relative impedance change △Z 2 .

[0068] For example, Fig. 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. 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 [1710 MHz, 2155 MHz] is shown. 22 Plot of the curve in a Smith chart.

[0069] like Fig. 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 the 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.

[0070] In some embodiments, the electronic device may input the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the change amount of at least two parameters of the communication parameter of the antenna into the trained first model to obtain the corresponding output result, and then judge whether the distance from the living body to the electronic device is less than or equal to the preset distance based on the output result of the first model. In some embodiments, the first model may include a mapping relationship between the capacitance parameter of the capacitive sensor, the impedance parameter of the antenna, and the change amount of at least two parameters of the communication parameter of the antenna and the distance from the living body to the electronic device.

[0071] In some embodiments, the output result of the first model may be a first value (e.g., a value of 1, etc.) or a second value (e.g., a value of 2, etc.). The first value indicates that the distance from the non-living body to the electronic device is less than or equal to the preset distance, which means that the electronic device does not need to reduce the SAR. The second value indicates that the distance from the living body to the electronic device is less than or equal to the preset distance, which means that the electronic device needs to reduce the SAR. The following Table 1 exemplarily shows the representation of the first value and the second value:

[0072] Table 1

[0073] As shown in Table 1 above, column A is the type of object close to the electronic device, including human body with impedance of 0Ω, 5Ω and 10Ω, wood with impedance of 0Ω, 5Ω and 10Ω, metal with impedance of 0Ω, 5Ω and 10Ω, water with impedance of 0Ω, 5Ω and 10Ω, and plastic with impedance of 0Ω, 5Ω and 10Ω. Columns B to I are the impedance values ​​of the antenna at different frequencies when the human body is close to the electronic device. Among them, 500m_R in column B and 500m_I in column C represent the real part and imaginary part of the impedance value of the antenna at 500MHz, respectively. 1000m_R in column D and 1000m_I in column E represent the real part and imaginary part of the impedance value of the antenna at 1000MHz, respectively. 2000m_R in column F and 2000m_I in column G represent the real part and imaginary part of the impedance value of the antenna at 2000MHz, respectively. 4000m_R in column H and 4000m_I in column I represent the real and imaginary parts of the impedance of the antenna at 4000MHz, respectively. Column J represents the capacitance (CAP) of the capacitive sensor when a human body approaches an electronic device. The value 2 in column K indicates that a human body is detected approaching an electronic device and the SAR needs to be reduced. The value 1 in column K indicates that a human body is not detected approaching an electronic device and the SAR does not need to be reduced.

[0074] The training process of the first model is exemplarily introduced below using the aforementioned multiple parameters including the capacitance parameters of the capacitive sensor, the impedance parameters of the antenna, and the communication parameters of the antenna as an example, but the present application is not limited thereto.

[0075] 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 , the impedance parameter Z of the antenna 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 , the impedance parameter Z of the antenna 22 and antenna communication parameters T 22 Then, the capacitance parameter C of the capacitive sensor is calculated 11 and capacitance parameter C 22 The absolute value of the difference between the two is used to obtain the change in the capacitance parameter of the capacitive sensor △C 12 . And, calculate the impedance parameter Z of the antenna 11 With Z 22 The absolute value of the difference between the two gives the change in the antenna impedance parameter Z. 12 . And calculate the antenna communication parameters T 11 With the communication parameter T 22 The absolute value of the difference between them is used to obtain the change in the antenna communication parameters T 12Then, the change in capacitance parameter of the capacitive sensor △C 12 , the change in the antenna's impedance parameter Z 12 The change in the communication parameters of the antenna T 12 As sample data for training the first model.

[0076] In some embodiments, sample data (e.g., in the form of a matrix) may be input into the first model to be trained to obtain a predicted value output by the first model (hereinafter referred to as a "prediction enabling parameter"). Then, according to the error between the predicted value output by the first model and the true value corresponding to the predicted value (hereinafter referred to as an "enabling parameter"), the parameters of the first model (e.g., weight parameters, etc.) may be adjusted to obtain the trained first model.

[0077] For example, the error parameter between the prediction enabling parameter and the enabling parameter of the first model can be calculated by the formula: prediction 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.

[0078] 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 is minimized, and the weight parameters of each network layer can be optimized using a back propagation algorithm or a gradient descent algorithm to achieve feedforward calibration of the first model and improve the training effect of the first model.

[0079] In some embodiments, during the training of the first model, the prediction enabling parameters output by the first model may be normalized by the following formula (3) to obtain corresponding normalized values, and then the prediction enabling parameters whose normalized values ​​are outside a preset range (e.g., 0.5% to 99.5%) are eliminated, and then the first model is trained based on the eliminated prediction enabling parameters.

[0080] (3)

[0081] 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, and K is the number of prediction enabling parameters.

[0082] In some embodiments, during the training of the first model, the average value of all prediction enabling parameters is calculated as the center of gravity of the prediction enabling parameters. When the prediction enabling parameter is less than the center of gravity of the enabling parameter, it indicates that SAR reduction is not required. When the prediction enabling parameter is greater than or equal to the center of the enabling parameter, it indicates that SAR reduction is required.

[0083] It can be understood that the training process of the first model can be completed locally or on other devices, and there is no limitation on this.

[0084] In some embodiments, when the user uses the electronic device, when the distance between the human body and the electronic device is less than or equal to the preset distance, the electronic device can collect the changes in the aforementioned multiple parameters as sample data. Then, during the idle time of the electronic device (that is, when the user is not using the electronic device), the first model is trained with the previously collected sample data. In this way, the first model can be trained in combination with the user's usage habits to gradually improve the accuracy of the first model.

[0085] The structure of the first model is exemplarily introduced below.

[0086] Figure 7 According to some embodiments of the present application, a structural example diagram of a first model is shown.

[0087] 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 7 The hidden layer in includes 3 neural layers. Each neural 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 neural layer of the hidden layer of the first model can perform neural transformation processing on its input data, such as weighted summation processing and nonlinear conversion processing, and perform neural aggregation processing (such as data fusion processing) on ​​the transformed results to obtain the corresponding output results, and pass them to the next neural layer for neural transformation processing and neural aggregation processing. After each neural layer of 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 neural layer, weighted average of multiple layers of output can be performed, and error correction values ​​can be superimposed to improve accuracy.

[0088] In some embodiments, Figure 8As shown, the neuron layer can use the following formula (4) to perform weighted summation processing on its input data: (4)

[0089] in, is the number of input data, The 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.

[0090] 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.

[0091] Two activation functions are introduced below as examples, but the present application is not limited thereto.

[0092] (1) Activation function 1:

[0093] In some embodiments, the activation function The calculation formula is as follows: (5)

[0094] in, is a natural constant, is a constant coefficient that controls the steepness of the activation function.

[0095] Fig.9A According to some embodiments of the present application, a curve diagram of activation function 1 is shown. Fig.9A As shown, the activation function The value is between [-1, 1].

[0096] (2) Activation function 2:

[0097] In some embodiments, the activation function The calculation formula is as follows: (6)

[0098] Fig. 9B According to some embodiments of the present application, a curve diagram of activation function 2 is shown. Fig.9A As shown, the activation function The value of is between [0, 1].

[0099] 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.

[0100] 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 there is a distance from a living being to the electronic device that 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 corresponding thresholds, it is determined that there is a distance from a living being to the electronic device that 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 corresponding thresholds, it is determined that there is no distance from a living being to the electronic device that is less than or equal to the preset distance.

[0101] For example, in the case where the electronic device obtains the change in the capacitance parameter of the capacitive sensor and the impedance parameter of the antenna, if the change in the capacitance parameter of the capacitive sensor is greater than or equal to the 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, it is determined that the distance from the living body to the electronic device is less than or equal to the 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, it is determined that the distance from the living body to the electronic device is less than or equal to the preset distance.

[0102] The technical solution of the present application is introduced below in conjunction with specific embodiments.

[0103] Fig.10 According to some embodiments of the present application, a flow chart of a method for adjusting antenna power is shown. The method is performed by an electronic device, which includes a capacitive sensor and an antenna. Fig.10 As shown, the method includes:

[0104] S101: Obtain 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 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.

[0105] 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.

[0106] For the change in impedance parameters, the electronic device can control the antenna to transmit a signal within the first frequency range at the first moment, and obtain the impedance of the antenna at the first frequency point within the first frequency range, and then control the antenna to transmit and receive a signal within the second frequency range at the second moment, and obtain the impedance of the antenna at at least one frequency point within the second frequency range, and 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, and obtain the change in at least one impedance parameter of the antenna. The specific acquisition process can refer to the related introduction of the acquisition method of the change in the impedance parameter of the antenna, which will not be repeated here.

[0107] 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 yes, execute S103. If no, execute no processing.

[0108] After the electronic device obtains the change amount of at least two parameters 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, it can determine whether there is a distance from the living body to the electronic device that is less than or equal to the preset distance according to the change amount of the at least two parameters. If there is a distance from the living body to the electronic device that is less than or equal to the preset distance, the electronic device needs to reduce the SAR, and S103 needs to be executed later. If there is no distance from the living body to the electronic device that is less than or equal to the preset distance, the electronic device does not need to reduce the SAR, and no processing is required.

[0109] In some embodiments, the electronic device is deployed with the aforementioned first model. The electronic device can input the acquired changes of the multiple parameters into the first model to obtain the output result of the first model, and then determine whether the distance between the living body and the electronic device is less than or equal to the preset distance based on the output result of the first model.

[0110] In other embodiments, the electronic device may use the aforementioned threshold comparison method to determine whether the distance between a living being and the electronic device is less than or equal to a preset distance.

[0111] S103: Adjust 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.

[0112] When the electronic device detects that the distance between a living being and the electronic device is less than or equal to a 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 a second power, wherein the second power is less than the first power.

[0113] In an embodiment of the present application, the electronic device determines whether there is a living body at a distance less than or equal to a preset distance from the electronic device by obtaining changes in multiple parameters from the first moment to the second moment, such as 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. That is, by detecting whether there is a living body approaching the electronic device through multiple indicators rather than detecting through a single indicator, the accuracy of detection of the proximity of living bodies can be improved, which is beneficial to avoiding the electronic device from accidentally triggering the SAR reduction function, thereby avoiding the communication quality of the electronic device from being affected by the accidental triggering of the SAR reduction function when there is no living body approaching the electronic device.

[0114] Fig.11 According to some embodiments of the present application, a schematic structural diagram of an electronic device is shown.

[0115] like Fig.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, etc. The sensor module 180 may include a capacitive sensor 180A.

[0116] Antenna 01 or antenna 02 may be the antenna 14 mentioned above.

[0117] In some embodiments, in a scenario where the electronic device 100 uses the antenna 01 to send and receive signals, the electronic device 100 can obtain the capacitance parameter of the capacitive sensor 180A, the impedance parameter of the antenna 01, and the change amount of at least two of the communication parameters from the first moment to the second moment, and then determine whether there is a distance from a living body to the electronic device 100 that is less than or equal to the preset distance based on the obtained parameter change amount. If so, the signal transmission power of the antenna 01 is reduced. If not, no processing is performed.

[0118] Similarly, in a scenario where the electronic device 100 uses the antenna 02 to send and receive signals, the electronic device 100 can obtain the capacitance parameter of the capacitive sensor 180A, the impedance parameter of the antenna 02, and the change amount of at least two of the communication parameters from the first moment to the second moment, and then determine whether there is a distance from the living body to the electronic device 100 that is less than or equal to the preset distance based on the obtained parameter change amount. If so, the signal transmission power of the antenna 02 is reduced. If not, no processing is performed.

[0119] It is to be understood that the structure illustrated in the embodiment of the present application does 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 in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0120] 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), etc.

[0121] The charging management module 140 is used to receive charging input from a charger, where the charger can be a wireless charger or a wired charger.

[0122] 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 power the processor 110, the internal memory 121, the display screen 194, the camera 193, the mobile communication module 150 and the wireless communication module 160.

[0123] 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.

[0124] The mobile communication module 150 can provide solutions for wireless communications including 2G / 3G / 4G / 5G, etc., applied to the electronic device 100. The wireless communication module 160 can provide solutions for wireless communications including 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), infrared technology (IR), etc., applied to the electronic device 100.

[0125] The electronic device 100 implements the 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.

[0126] 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 1 or N display screens 194, where N is a positive integer greater than 1.

[0127] 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 .

[0128] The internal memory 121 may be used to store computer executable program codes, which include instructions. The internal memory 121 may include a program storage area and a data storage area.

[0129] Program code can be applied to input instructions to perform the functions described in this application and generate output information. The output information can be applied to one or more output devices in a known manner. For the 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.

[0130] Program code can be implemented with high-level programming language or object-oriented programming language to communicate with the processing system. When necessary, program code can also be implemented with assembly language or machine language. In fact, the mechanism described in this application is not limited to the scope of any specific programming language. In either case, the language can be a compiled language or an interpreted language.

[0131] The embodiments disclosed in the present application may be implemented in hardware, software, firmware or a combination of these implementation methods. The embodiments of the present application may be implemented as a computer program or program code executed on a programmable system, the programmable system including 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.

[0132] An embodiment of the present application also provides a readable storage medium, on which instructions are stored. When the instructions are executed on a computer, the computer implements the methods provided in the aforementioned embodiments.

[0133] An embodiment of the present application further provides a computer program product, which includes a computer program code. When the computer program code is executed, the computer executes the method provided by the aforementioned embodiments.

[0134] An embodiment of the present application also provides a chip, which includes a processor, which is coupled to a memory and is used to execute a computer program or instruction stored in the memory, so that the chip implements the methods provided in the aforementioned embodiments.

[0135] 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 or stored on one or more temporary or non-temporary machine-readable (e.g., computer-readable) storage media, which may be read and executed by one or more processors. For example, the instructions may be distributed over a network or through other computer-readable media. Therefore, 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, a floppy disk, an optical disk, an optical disk, a read-only memory, a magneto-optical disk, a read-only memory, a random access memory, an erasable programmable read-only memory, an electrically erasable programmable read-only memory, a magnetic card or an optical card, a flash memory, or a tangible machine-readable memory for transmitting information (e.g., a carrier wave, an infrared signal, a digital signal, etc.) using the Internet in an electrical, optical, acoustic, or other form of propagation signal. Therefore, 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).

[0136] In the accompanying drawings, some structural or method features may be shown in a specific arrangement and / or order. However, it should be understood that such a specific arrangement and / or order may not be required. Instead, 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 structural or method features in a particular figure does not mean that such features are required in all embodiments, and in some embodiments, these features may not be included or may be combined with other features.

[0137] 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 method 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 proposed by the present application. In addition, in order to highlight the innovative part of the present application, the above-mentioned device embodiments of the present application do not introduce units / modules that are not closely related to solving the technical problems proposed by the present application, which does not mean that there are no other units / modules in the above-mentioned device embodiments.

[0138] It should be noted that, in the examples and description of the present application, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of further restrictions, the elements defined by the statement "comprise one" do not exclude the presence of other identical elements in the process, method, article or equipment including the elements.

[0139] Although the present application has been illustrated 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, the electronic device comprising a capacitive sensor and an antenna, the method comprising: Acquire 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; Based on the changes in the multiple parameters, determining 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 the current first power to a second power, wherein the second power is less than the first power; The multiple 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.

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: Control the antenna to transmit a signal within a first frequency range at the first moment, and obtain the impedance of the antenna at a first frequency point within the first frequency range; At the second moment, controlling the antenna to receive a signal within a second frequency range, and obtaining the impedance of the antenna at at least one frequency point within the second frequency range; 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 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 claim 2, characterized in that: 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 aggregation protocol parameters, and received signal strength indication.

6. The method according to any one of claims 1 to 5, characterized in that The 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 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 body and the electronic device is less than or equal to the preset distance.

7. The method according to any one of claims 1 to 5, characterized in that The electronic device is deployed with a first model, the first model including a mapping relationship between the change amount of the plurality of parameters and the distance from the living body to the electronic device, Furthermore, 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: The changes of 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 from the living body to the electronic device is less than or equal to the preset distance.

8. An electronic device, characterized in that: include: A memory for storing instructions; A processor, when the processor executes the instructions in the memory, causes the electronic device to execute the method according to any one of claims 1 to 7.

9. 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 execute the method according to any one of claims 1 to 7.

10. 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 7.

11. A chip, characterized in that: The chip comprises a processor, which is coupled to a memory and is used to execute a computer program or instruction stored in the memory, so that the chip implements the method described in any one of claims 1 to 7.

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