Channel interception method and device, electronic equipment and computer program product

Abstract

The invention provides a channel interception method and device, electronic equipment and a computer program product. The channel interception method comprises the following steps: periodically counting a power average value of a received air interface signal in a period; periodically counting a first power parameter of an interval OFDM symbol in the air interface signal in a period; periodically counting a second power parameter of a synchronization sequence of a 802.11 b frame preamble domain in the air interface signal in a period; and according to the power average value, the first power parameter and the second power parameter, determining whether an air interface has Wi-Fi interference. According to the scheme, the bottom noise source can be accurately identified, so that a flexible backoff strategy can be adopted subsequently.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a channel monitoring method and device, electronic equipment, and a computer program product. Background Art

[0002] With the development of the Internet of Things and wireless communication technology, Wi-Fi has been widely used. When Wi-Fi is used in complex wireless environments, channel congestion often reduces channel utilization efficiency. To address this problem, the industry generally uses carrier sense (CS) to detect the background noise power to avoid channel congestion.

[0003] However, when detecting the noise floor power through carrier sensing, only the power within the band can be detected, and the specific power source cannot be known, so a more flexible backoff strategy cannot be adopted. In addition, there are certain errors and fluctuations in the noise floor power detection, which often leads to misjudgment when comparing the threshold value. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a channel monitoring method and device, an electronic device, and a computer program product for accurately identifying the source of background noise, thereby adopting a flexible backoff strategy accordingly.

[0005] On the one hand, the present application provides a channel monitoring method, comprising:

[0006] Periodically count the average power of the air interface signal received within a period;

[0007] Periodically counting a first power parameter of the air interface signal separated by OFDM symbols within a period;

[0008] Periodically counting a second power parameter of a synchronization sequence in a preamble field of an 802.11b frame in the air interface signal within a period;

[0009] It is determined whether there is Wi-Fi interference on an air interface according to the power average value, the first power parameter, and the second power parameter.

[0010] In one embodiment, determining whether there is Wi-Fi interference on the air interface according to the power average value, the first power parameter, and the second power parameter includes:

[0011] Determine a first ratio of the first power parameter to the power average value, and determine whether the first ratio reaches a preset first threshold value to obtain a first determination result;

[0012] Determine a second ratio of the second power parameter to the power average value, and determine whether the second ratio reaches a preset second threshold value to obtain a second determination result;

[0013] If at least one of the first judgment result and the second judgment result is yes, it is determined that there is Wi-Fi interference on the air interface;

[0014] If both the first judgment result and the second judgment result are negative, it is determined that there is no Wi-Fi interference on the air interface.

[0015] In one embodiment, the periodic counting of the first power parameter of the air interface signal within a period separated by OFDM symbols includes:

[0016] Based on a first length of a cyclic prefix and a second length of an OFDM symbol, counting normalized autocorrelations of OFDM symbols in the air interface signal within the first length;

[0017] Within the period indicated by the second length, the maximum normalized autocorrelation is selected as the first power parameter.

[0018] In one embodiment, the periodic counting of the second power parameter of the synchronization sequence of the 802.11b frame preamble field in the air interface signal within a period includes:

[0019] Based on the duration of the synchronization sequence of the 802.11b frame preamble field, counting the normalized cross-correlation of the synchronization sequence of the 802.11b frame preamble field in the air interface signal within the duration;

[0020] Within a period indicated by a second length of the OFDM symbol, a maximum normalized cross-correlation is selected as the second power parameter.

[0021] In one embodiment, the method further comprises:

[0022] Through the coexistence interface of BT / BLE and Wi-Fi, determine whether the air interface BT / BLE occupies the frequency point;

[0023] If yes, it is determined that there is BT / BLE interference on the air interface.

[0024] In one embodiment, the method further comprises:

[0025] If it is determined that there is Wi-Fi interference or BT / BLE interference on the air interface, the CCA threshold is controlled to be at the preset lower threshold value;

[0026] If it is determined that there is no Wi-Fi interference or BT / BLE interference on the air interface, the CCA threshold is controlled to be at a preset threshold upper limit value.

[0027] In one embodiment, before determining a first ratio of the first power parameter to the power average value and judging whether the first ratio reaches a preset first threshold value to obtain a first judgment result, the method further includes:

[0028] The first threshold is determined according to a first length of the cyclic prefix and a second length of the OFDM symbol.

[0029] On the other hand, the present application provides a channel monitoring device, including:

[0030] The first statistical module is used to periodically count the average power of the air interface signal received within a period;

[0031] A second statistical module is used to periodically count the first power parameter of the air interface signal separated by OFDM symbols within a period;

[0032] A third statistical module, used for periodically counting a second power parameter of a synchronization sequence in a leading field of an 802.11b frame in the air interface signal within a period;

[0033] A determination module is used to determine whether there is Wi-Fi interference at the air interface according to the power average value, the first power parameter, and the second power parameter.

[0034] On the other hand, the present application provides an electronic device, the electronic device comprising:

[0035] processor;

[0036] a memory for storing processor-executable instructions;

[0037] Wherein, the processor is configured to execute the above-mentioned channel sensing method.

[0038] In addition, the present application provides a computer program product, including a computer program / instruction, which implements the above-mentioned channel monitoring method when executed by a processor.

[0039] In addition to calculating the power average value during background noise detection, the solution of this application calculates the corresponding power parameters for different Wi-Fi protocols, so that the presence of Wi-Fi can be effectively identified through the power average value and power parameters, thereby determining the source of the background noise and facilitating the subsequent adoption of flexible backoff strategies. In addition, this solution can avoid the errors and fluctuations in the background noise power detection solution and improve the accuracy of background noise detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings required for use in the embodiments of the present application are briefly introduced below.

[0041] Figure 1 A schematic diagram of an application scenario of a channel monitoring method provided in an embodiment of the present application;

[0042] Figure 2A schematic diagram of a flow chart of a channel monitoring method provided in an embodiment of the present application;

[0043] Figure 3 An embodiment of the present application provides Figure 2 Detailed flow chart of step 240;

[0044] Figure 4 A block diagram of a channel monitoring device provided in an embodiment of the present application;

[0045] Figure 5 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0047] Similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0048] Figure 1 Schematic diagram of application scenarios of the channel monitoring method provided in the embodiment of the present application. Figure 1 As shown, the application scenario includes a client 20 and a server 30; the client 20 can be a wireless communication device such as a host, a mobile phone, a tablet computer, a router, etc.; the server 30 is a base station; the client 20 and the server 30 can communicate wirelessly. During the wireless communication process, the client 20 can execute the channel listening method provided by this solution to detect the channel noise floor.

[0049] See also Figure 2 , is a flow chart of a channel monitoring method provided by an embodiment of the present application, such as Figure 2 As shown, the method may include the following steps 210 to 240.

[0050] Step 210: Periodically count the average power of the received air interface signal within a period.

[0051] During the channel sensing process, the wireless communication device can periodically count the power average value of the received air interface signal in each cycle based on a preset cycle duration. Here, the cycle duration can be configured based on experience. The longer the cycle duration, the more accurate the calculated power average value.

[0052] Exemplarily, the calculation process of the power average value can be expressed by the following formula (1):

[0053]

[0054] Where y0(t) is the average power value; T0 is the cycle length used to calculate the average power value; t s is the starting time point of a cycle; x(t0) represents the air interface signal received by the wireless communication device.

[0055] In one embodiment, after the power average value of the air interface signal within the period is obtained by statistics, it can be determined whether the power average value reaches a preset power threshold. Here, the power threshold may be an empirical value. Exemplarily, the power threshold may be -62dBm / 20Mhz, where 20MHz indicates that the bandwidth of Wi-Fi is 20M. The power threshold may be converted to a threshold corresponding to the signal, and this conversion process is related to the gain of the RF circuit (for example: 62+Gain, where the unit of Gain is dB), and then converted to a linear domain (for example: 10^((-62+Gain) / 10)).

[0056] On the one hand, if the power average value reaches the power threshold, it can be determined that there is air interface interference. On the other hand, if the power average value does not reach the power threshold, it can be considered that there is no air interface interference.

[0057] Step 220: Periodically count the first power parameter of the air interface signal within a period every other OFDM symbol.

[0058] The wireless communication device can periodically count the first power parameter of OFDM (Orthogonal Frequency Division Multiplexing) symbols in the air interface signal within the period based on a preset period duration. Here, the period duration is determined based on the length of the OFDM symbol. The first power parameter is positively correlated with the power of the signal of the Wi-Fi 802.11a / g / n / ac / ax protocol. The larger the first power parameter, the greater the power of the signal of the 802.11a / g / n / ac / ax protocol.

[0059] In one embodiment, when executing step 220, the normalized autocorrelations within the first length of OFDM symbols in the air interface signal may be counted based on the first length of the cyclic prefix (CP) and the second length of the OFDM symbol.

[0060] Further, within the period indicated by the second length, a plurality of normalized autocorrelations may be calculated, and the largest normalized autocorrelation may be selected from the calculated autocorrelations as the first power parameter.

[0061] Exemplarily, the calculation process of the first power parameter can be expressed by the following formula (2):

[0062]

[0063] Wherein, y1(t) represents the first power parameter; t s is the starting time point of a cycle; T is the second length of the OFDM symbol, and T is the cycle duration; t cp is the first length of the cyclic prefix; x(t0) represents the air interface signal received by the wireless communication device; * represents conjugation.

[0064] The first length of the cyclic prefix and the second length of the OFDM symbol that can be selected by different protocols in the 802.11a / g / n / ac / ax protocol can be represented by the following Table 1:

[0065] Wi-Fi Standards <![CDATA[First length t cp > The second length T 11a / g / n / ac 0.4us 3.2us 11a / g / n / ac 0.8us 3.2us 11ax 0.8us 12.8us 11ax 1.6us 12.8us 11ax 3.2us 12.8us

[0066] Table 1

[0067] For different protocols in the 802.11a / g / n / ac / ax protocol, the corresponding first length and second length are selected respectively to calculate the first power parameter under each protocol, and a total of 5 first power parameters can be calculated.

[0068] Step 230: Periodically count the second power parameter of the synchronization sequence in the 802.11b frame preamble field in the air interface signal within a period.

[0069] The wireless communication device can periodically count the second power parameter of the synchronization sequence (Synchronization Sequence) of the 802.11b frame preamble (preamble) in the air interface signal within the period based on the preset period duration. Here, the period duration is determined based on the length of the OFDM symbol. The second power parameter is positively correlated with the power of the signal of the 802.11b protocol of Wi-Fi. The larger the second power parameter, the greater the power of the signal of the 802.11b protocol.

[0070] In one embodiment, when executing step 230, the duration of the synchronization sequence in the 802.11b frame preamble field can be used to calculate the normalized cross-correlation of the synchronization sequence in the 802.11b frame preamble field in the air interface signal within the duration. Further, within the period indicated by the second length of the OFDM symbol, multiple normalized cross-correlations can be calculated, and the largest normalized cross-correlation is selected as the second power parameter.

[0071] Exemplarily, the calculation process of the second power parameter can be expressed by the following formula (3):

[0072]

[0073] Wherein, y2(t) represents the second power parameter; t s is the starting time point of a cycle; T is the second length of the OFDM symbol, and T is the cycle duration; t p represents the duration of the synchronization sequence of the 802.11b frame preamble field; x(t0) represents the air interface signal received by the wireless communication device; r(t0) represents the synchronization sequence of the 802.11b frame preamble field; * represents conjugation.

[0074] Step 240: Determine whether there is Wi-Fi interference on the air interface according to the power average value, the first power parameter, and the second power parameter.

[0075] After obtaining the power average value, multiple first power parameters corresponding to the 802.11a / g / n / ac / ax protocol, and the second power parameter corresponding to the 802.11b protocol, it can be determined whether Wi-Fi interference exists.

[0076] Through the above measures, in addition to calculating the power average value during noise floor detection, the corresponding power parameters are calculated for different Wi-Fi protocols, so that the presence of Wi-Fi can be effectively identified through the power average value and power parameters, thereby determining the source of the noise floor, and facilitating the subsequent adoption of flexible backoff strategies. In addition, this solution can avoid the errors and fluctuations in the noise floor power detection solution and improve the accuracy of noise floor detection.

[0077] In one embodiment, see Figure 3 , provided in one embodiment of the present application Figure 2 The detailed flow chart of step 240 is as follows: Figure 3 As shown, the method may include the following steps 310 to 340.

[0078] Step 310: Determine a first ratio of a first power parameter to an average power value, and determine whether the first ratio reaches a preset first threshold value to obtain a first determination result.

[0079] For 802.11a / g / n / ac / ax protocols, the ratio of the first power parameter corresponding to each protocol to the power average value can be calculated as the first ratio. Further, it can be determined whether the first ratio corresponding to each protocol reaches the first threshold to obtain a first judgment result. Here, each protocol in 802.11a / g / n / ac / ax can be pre-configured with a corresponding first threshold. The first judgment result is yes or no.

[0080] Step 320: Determine a second ratio of the second power parameter to the power average value, and determine whether the second ratio reaches a preset second threshold value to obtain a second determination result.

[0081] For the 802.11b protocol, the ratio of the second power parameter to the power average value can be calculated as the second ratio. Further, it can be determined whether the second ratio reaches a second threshold value to obtain a second determination result. Here, the second threshold value is determined according to the actual requirements for the detection probability. For example, the second threshold value can be 0.5.

[0082] Step 330: If at least one of the first judgment result and the second judgment result is yes, it is determined that there is Wi-Fi interference on the air interface.

[0083] Step 340: If both the first judgment result and the second judgment result are negative, it is determined that there is no Wi-Fi interference on the air interface.

[0084] After executing steps 310 to 320, multiple first judgment results and one second judgment result may be obtained. If at least one of the first judgment results and the second judgment results is yes, it may be determined that there is Wi-Fi interference at the air interface. For example, if the first judgment result corresponding to 802.11a is yes, it may be determined that there is Wi-Fi interference from 802.11a at the air interface. Alternatively, if the second judgment result corresponding to 802.11b is yes, it may be determined that there is Wi-Fi interference from 802.11b at the air interface.

[0085] If both the first judgment results and the second judgment results are negative, it can be determined that each Wi-Fi protocol does not generate Wi-Fi interference.

[0086] Through the above measures, it is possible to accurately determine whether each Wi-Fi protocol has caused interference and summarize it, thereby effectively identifying whether there is Wi-Fi interference. Compared with related solutions that only use background noise power detection to determine Wi-Fi interference, the accuracy is greatly improved.

[0087] In one embodiment, in addition to identifying Wi-Fi interference, it is also possible to detect whether there is BT / BLE (Bluetooth / Bluetooth Low Energy) interference on the air interface. Through the coexistence interface between BT / BLE and Wi-Fi, it can be determined whether BT / BLE occupies a frequency point. Here, the coexistence interface is an interface predefined on the wireless communication device that enables the BT / BLE protocol and the Wi-Fi protocol to negotiate with each other. Through the coexistence interface, the two protocols can inform each other of the occupied frequencies.

[0088] On the one hand, when BT / BLE does not occupy the frequency point, it can be determined that there is no BT / BLE interference on the air interface. On the other hand, when BT / BLE occupies the frequency point, it can be determined that there is BT / BLE interference on the air interface.

[0089] Through this measure, in addition to identifying Wi-Fi interference, BT / BLE interference can be further identified, improving the comprehensiveness of background noise detection.

[0090] In one embodiment, if it is determined that Wi-Fi interference or BT / BLE interference exists on the air interface, it can be considered that the current wireless communication device is in a relatively complex interference environment.

[0091] At this time, in order to ensure the communication performance of the wireless communication device in the current environment and achieve normal CCA (Clear Channel Assessment) backoff, the CCA threshold can be controlled to be at the preset lower threshold value to adopt a more conservative CCA backoff strategy, thereby reducing the probability of false triggering backoff due to statistical fluctuations in the background noise power, ensuring that the wireless communication device sends packets as much as possible, and ensuring Wi-Fi communication performance. Here, the lower threshold value can be configured based on experience. In this case, if the CCA threshold was previously at the upper threshold value, the CCA threshold can be reduced to the lower threshold value; if the CCA threshold was previously at the lower threshold value, the CCA threshold can be controlled to remain unchanged.

[0092] If there is no Wi-Fi interference or BT / BLE interference on the air interface, it can be considered that the current wireless communication device is in a simple interference environment.

[0093] At this time, the CCA threshold can be controlled to be at the preset threshold upper limit value, so as to ensure that the wireless communication device can actively back off as much as possible in the current environment. Here, the threshold upper limit value can be configured based on experience. In this case, if the CCA threshold was previously at the threshold lower limit value, the CCA threshold can be increased to the threshold upper limit value; if the CCA threshold was previously at the threshold upper limit value, the CCA threshold can be controlled to remain unchanged.

[0094] Through the above measures, according to the background noise detection results, the backoff strategy can be flexibly selected to make the CCA threshold switch back and forth between the lower threshold value and the upper threshold value. In the presence of identifiable interference, the CCA threshold is lowered, making it easier for wireless communication devices to determine that the channel is busy, thereby achieving active avoidance; in the absence of identifiable interference, the CCA threshold is lowered and raised, so that wireless communication devices can normally participate in channel competition, ensuring that wireless communication devices can achieve good communication effects in different communication environments.

[0095] In one embodiment, before executing step 310, for any one of the 802.11a / g / n / ac / ax protocols, a first threshold corresponding to the protocol can be determined based on a first length of a cyclic prefix and a second length of an OFDM symbol selected when calculating a first power parameter of the protocol.

[0096] Through this measure, the corresponding first thresholds can be calculated for the 802.11a / g / n / ac / ax protocols respectively, so as to facilitate the subsequent execution of step 310.

[0097] Figure 4 is a block diagram of a channel monitoring device according to an embodiment of the present invention. Figure 4 As shown, the device may include:

[0098] The first statistical module 410 is used to periodically count the average power of the received air interface signal within a period;

[0099] A second statistical module 420, configured to periodically count a first power parameter of the air interface signal separated by OFDM symbols within a period;

[0100] A third statistical module 430 is used to periodically count the second power parameter of the synchronization sequence of the 802.11b frame preamble field in the air interface signal within a period;

[0101] The determination module 440 is configured to determine whether there is Wi-Fi interference at the air interface according to the power average value, the first power parameter, and the second power parameter.

[0102] The implementation process of the functions and effects of each module in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned channel monitoring method, which will not be repeated here.

[0103] like Figure 5 As shown, this embodiment provides an electronic device 1, including: at least one processor 11 and a memory 12, Figure 5 A processor 11 is taken as an example. The processor 11 and the memory 12 are connected via a bus 10. The memory 12 stores instructions that can be executed by the processor 11. The instructions are executed by the processor 11 so that the electronic device 1 can execute all or part of the process of the method in the following embodiment. In one embodiment, the electronic device 1 can be the above-mentioned client 20, which is used to execute the channel listening method.

[0104] The memory 12 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable red-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, disk or optical disk.

[0105] The present application also provides a computer-readable storage medium, which stores a computer program. The computer program can be executed by the processor 11 to complete the channel monitoring method provided by the present application.

[0106] The present application also provides a computer program product, including a computer program / instruction, which implements the channel monitoring method provided by the present application when the computer program / instruction is executed by a processor.

[0107] In several embodiments provided in the present application, the disclosed devices and methods may also be implemented in other ways. The device embodiments described above are merely schematic, for example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram may represent a module, a program segment or a part of a code, and a module, a program segment or a part of a code contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of boxes in the block diagram and / or the flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0108] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0109] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

Claims

1. A channel monitoring method, characterized in that: include: Periodically count the average power of the air interface signal received within a period; Periodically counting a first power parameter of the air interface signal separated by OFDM symbols within a period; Periodically counting a second power parameter of a synchronization sequence in a preamble field of an 802.11b frame in the air interface signal within a period; It is determined whether there is Wi-Fi interference on an air interface according to the power average value, the first power parameter, and the second power parameter.

2. The method according to claim 1, characterized in that The determining, according to the power average value, the first power parameter, and the second power parameter, whether there is Wi-Fi interference at the air interface includes: Determine a first ratio of the first power parameter to the power average value, and determine whether the first ratio reaches a preset first threshold value to obtain a first determination result; Determine a second ratio of the second power parameter to the power average value, and determine whether the second ratio reaches a preset second threshold value to obtain a second determination result; If at least one of the first judgment result and the second judgment result is yes, it is determined that there is Wi-Fi interference on the air interface; If both the first judgment result and the second judgment result are negative, it is determined that there is no Wi-Fi interference on the air interface.

3. The method according to claim 1, characterized in that The periodically counting the first power parameter of the air interface signal separated by OFDM symbols within a period includes: Based on a first length of a cyclic prefix and a second length of an OFDM symbol, counting normalized autocorrelations of OFDM symbols in the air interface signal within the first length; Within the period indicated by the second length, the maximum normalized autocorrelation is selected as the first power parameter.

4. The method according to claim 1, characterized in that: The periodically counting a second power parameter of a synchronization sequence of an 802.11b frame preamble field in the air interface signal within a period includes: Based on the duration of the synchronization sequence of the 802.11b frame preamble field, counting the normalized cross-correlation of the synchronization sequence of the 802.11b frame preamble field in the air interface signal within the duration; Within a period indicated by a second length of the OFDM symbol, a maximum normalized cross-correlation is selected as the second power parameter.

5. The method according to claim 1, characterized in that The method further comprises: Through the coexistence interface of BT / BLE and Wi-Fi, determine whether the air interface BT / BLE occupies the frequency point; If yes, it is determined that there is BT / BLE interference on the air interface.

6. The method according to claim 1 or 5, characterized in that: The method further comprises: If it is determined that there is Wi-Fi interference or BT / BLE interference on the air interface, the CCA threshold is controlled to be at the preset lower threshold value; If it is determined that there is no Wi-Fi interference or BT / BLE interference on the air interface, the CCA threshold is controlled to be at a preset threshold upper limit value.

7. The method according to claim 2, characterized in that Before determining a first ratio of the first power parameter to the power average value and judging whether the first ratio reaches a preset first threshold value to obtain a first judgment result, the method further includes: The first threshold is determined according to a first length of the cyclic prefix and a second length of the OFDM symbol.

8. A channel monitoring device, characterized in that: include: The first statistical module is used to periodically count the average power of the air interface signal received within a period; A second statistical module is used to periodically count the first power parameter of the air interface signal separated by OFDM symbols within a period; A third statistical module, used for periodically counting a second power parameter of a synchronization sequence in a leading field of an 802.11b frame in the air interface signal within a period; A determination module is used to determine whether there is Wi-Fi interference at the air interface according to the power average value, the first power parameter, and the second power parameter.

9. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing processor-executable instructions; The processor is configured to execute the channel sensing method according to any one of claims 1 to 7.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the channel sensing method according to any one of claims 1 to 7 is implemented.

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