WO2022142575A1 - Method and apparatus for reducing nr and wifi interference, and device and storage medium - Google Patents

Abstract

The present application relates to the field of communications. Provided are a method and apparatus for reducing NR and WiFi interference, and a device and a storage medium. The method comprises: checking the working states and working qualities of an NR antenna and a WiFi antenna to acquire a first check result; if it is detected, according to the first check result, that interference is present, connecting to a filtering circuit, and extracting a filtered interference signal; simulating a transmission delay of the filtered interference signal to acquire an analog interference signal of the interference signal that is synthesized by n signals, wherein n is a preset positive integer, and the transmission delay is a delay in the process of the interference signal being sent from a transmitting antenna to a receiving antenna; performing signal attenuation and phase adjustment on the analog interference signal to acquire an interference cancellation signal, wherein a phase difference between the interference cancellation signal and the interference signal is 180 degrees; and sending, to a corresponding radio-frequency link, an interfered-with signal that has been subjected to interference cancellation signal processing.

Description

Method, apparatus, device and storage medium for reducing NR and WIFI interference

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is based on the Chinese patent application with the application number "202011612117.7" and the application date is December 30, 2020, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated by reference Application.

technical field

The embodiments of the present application relate to the field of communications, and in particular, to a method, apparatus, device, and storage medium for reducing NR and WIFI interference.

Background technique

In order to provide users with a better user experience, more and more 5G terminals add the "dual-network acceleration" function to their products. A common dual-network type is 5G+WIFI dual-network overlay. 5G NR adopts the multiple-input multiple-output (MIMO) technology of multiple antennas, so as to improve the spatial multiplexing gain through the use of MIMO antennas, and at the same time, it can greatly improve the uplink and downlink throughput capacity. Therefore, Although the use of 5G NR+5G WIFI technology can greatly improve the network performance of terminal products. However, the working frequency bands of 5G NR and 5G WIFI are very close, especially the N78 and N79 frequency bands of 3.3GHz-3.8GHz and 4.4GHz-5GHz for 5G NR and the 5.17GHz-5.825GHz frequency band that WIFI 5G can work with respectively. Due to the influence of carrier leakage and transmitter nonlinear factors, there must be serious carrier leakage or even co-channel interference between 5G NR and 5G WIFI. In addition, in order to save the cost of WIFI links, terminal products often choose WIFI filters with wider frequency bands, which makes the interference between 5G NR and 5G WIFI more serious. In order to solve this problem, one method is to replace the filter with a filter with a high Q value. On the premise of ensuring the filter insertion loss, it can obtain excellent square coefficient and out-of-band suppression capability, and ensure that the two work completely independently. , to solve the problem of carrier leakage. Another method is to measure the minimum antenna isolation required when the NR and WIFI systems coexist and do not interfere with each other, and then design the antenna of the 5G terminal so that the antennas of the NR and WIFI systems meet the minimum antenna isolation. .

However, on the one hand, the miniaturized application of high-Q RF filters is still one of the pain points in the industry. In addition to being expensive and can only solve the problem of out-of-band carrier leakage into the receiving channel, for the non-linear factors caused by the transmitter The radiated interference entering the same frequency of the receiving antenna cannot be suppressed, and its applicability has certain limitations. On the other hand, 5G terminal products support more than 30 frequency bands, and there will be more than 10 antennas. The size of the terminal products cannot guarantee reasonable isolation between antennas. Moreover, although increasing the isolation between the two systems can improve the performance of parallel work between the two systems, since NR and WIFI 5G now generally use the MIMO working mechanism, it is difficult to ensure that the terminal can work independently in the limited space of the terminal. Therefore, if only the independence of these two modules is maintained, it is difficult to make the two systems of NR and WIFI work independently without interference.

SUMMARY OF THE INVENTION

An embodiment of the present application provides a method for reducing interference between NR and WIFI, and the method includes the following steps: detecting the working state and working quality of the NR antenna and the WIFI antenna, and obtaining a first detection result; if according to the first detection result Detecting that there is interference, access the filter circuit and extract the filtered interference signal; simulate the transmission delay of the filtered interference signal, and obtain the simulated interference signal of the interference signal synthesized by the n-channel signals, wherein, The transmission delay is the delay in the process of transmitting the interference signal from the transmitting antenna to the receiving antenna; performing signal attenuation processing and phase adjustment on the analog interference signal to obtain an interference cancellation signal, where n is a preset A positive integer, the phase difference between the interference cancellation signal and the interference signal is 180 degrees; the interfered signal processed by the interference cancellation signal is sent to the corresponding radio frequency main link.

The embodiment of the present application also proposes a device for reducing interference between NR and WIFI, including: a detection module, used to detect the working state and quality of the NR antenna and the WIFI antenna, and obtain the first detection result; The first detection result obtained by the detection module detects that there is interference, accesses the filter circuit and extracts the filtered interference signal; the interference cancellation NWIC module is used to simulate the transmission delay of the interference signal, and obtain the The analog interference signal of the interference signal synthesized by n-channel signals, where n is a preset positive integer, and the transmission delay is the delay in the process of transmitting the interference signal from the transmitting antenna to the receiving antenna. The analog interference signal is subjected to signal attenuation processing and phase adjustment to obtain an interference cancellation signal, wherein the phase difference between the interference cancellation signal and the interference signal is 180 degrees, and the interfered signal processed by the interference cancellation signal is sent to the into the corresponding RF link.

Embodiments of the present application also provide an electronic device, including:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the above-described methods of reducing NR and WIFI interference .

Embodiments of the present application further provide a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the above-mentioned method for reducing NR and WIFI interference is implemented.

Description of drawings

One or more embodiments are exemplified by the pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments.

FIG. 1 is a flowchart of a method for reducing NR and WIFI interference provided by the first embodiment of the present application;

FIG. 2 is a flowchart of a method for reducing NR and WIFI interference provided by a second embodiment of the present application;

3 is a circuit diagram of a single-input multiple-output structure involved in step 203 in the method for reducing NR and WIFI interference provided by the second embodiment of the present application shown in FIG. 2;

4 is a flowchart of a method for reducing NR and WIFI interference provided by a third embodiment of the present application;

5 is a flowchart of a method for reducing NR and WIFI interference provided by a fourth embodiment of the present application;

FIG. 6 is a flowchart of step 504 in the method for reducing NR and WIFI interference provided by the fourth embodiment of the present application shown in FIG. 5;

FIG. 7 is an antenna distribution diagram 1 involved in step 604 in the method for reducing NR and WIFI interference provided by the fourth embodiment of the present application shown in FIG. 6;

FIG. 8 is a second antenna distribution diagram involved in step 604 in the method for reducing NR and WIFI interference provided by the fourth embodiment of the present application shown in FIG. 6;

9 is a flowchart of a method for reducing NR and WIFI interference provided by a fifth embodiment of the present application;

10 is a schematic structural diagram of an apparatus for reducing NR and WIFI interference provided by the sixth embodiment of the present application;

Figure 11 is a circuit diagram 1 involved in the NWIC module 1003 in the device for reducing NR and WIFI interference provided by the sixth embodiment of the present application shown in Figure 10;

FIG. 12 is a second circuit diagram involved in the NWIC module 1003 in the apparatus for reducing NR and WIFI interference provided by the sixth embodiment of the present application shown in FIG. 10;

FIG. 13 is a schematic structural diagram of an electronic device provided by a seventh embodiment of the present application.

Detailed ways

The main purpose of the embodiments of this application is to propose a method, apparatus, device, and storage medium for reducing interference between NR and WIFI, aiming to reduce the interference between NR and WIFI, not only to solve the problem of out-of-band carrier leakage to the outside of the receiving channel It also has a good suppression effect on the interference caused by the nonlinear factors of the transmitter and entering the same frequency of the receiving antenna, which improves the leakage of the carrier into the passband of the other party, and improves the terminal throughput performance and network performance. , 5G terminal throughput has been improved, and the ability of NR and WIFI 5G to work in parallel is maintained to the greatest extent.

In order to make the objectives, technical solutions and advantages of the embodiments of the present application more clear, each embodiment of the present application will be described in detail below with reference to the accompanying drawings. However, those of ordinary skill in the art can understand that, in each embodiment of the present application, many technical details are provided for the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present application can be realized. The following divisions of the various embodiments are for the convenience of description, and should not constitute any limitation on the specific implementation of the present application, and the various embodiments may be combined with each other and referred to each other on the premise of not contradicting each other.

The first embodiment of the present application relates to a method for reducing NR and WIFI interference, as shown in FIG. 1 , which specifically includes:

Step 101: Detect the working state and working quality of the NR antenna and the WIFI antenna, and obtain a first detection result.

Specifically, the first detection result includes parameters such as sensitivity, throughput, and transmission status and reception status. Of course, the above is only a specific example, and in an actual use process, the first detection result may also include other parameters, which will not be repeated here.

Step 102 , if interference is detected according to the first detection result, the filtering circuit is connected to extract the filtered interference signal.

In this embodiment, the existence of interference includes the following situations: the NR antenna is in the transmitting state, the WIFI antenna is in the receiving state, and the WIFI sensitivity or throughput is less than a given threshold; the NR antenna is in the receiving state, the WIFI antenna is in the transmitting state, and the NR sensitivity or throughput The quantity detection system finds that its value is less than a given threshold, etc. Of course, the above is only a specific example, and the situation of interference in an actual use process may also include other situations, which will not be repeated here.

Specifically, if the NR antenna is in the transmitting state and the WIFI antenna is in the receiving state and the WIFI sensitivity or throughput is less than a given threshold, that is, the NR antenna interferes with the WIFI antenna, a WIFI trap is added to the transmission chain where the NR antenna is located. If the NR antenna is in the receiving state, the WIFI antenna is in the transmitting state, and the NR sensitivity or throughput detection system finds that its value is less than the given threshold, that is, the WIFI antenna interferes with the NR antenna, then in the transmission chain where the WIFI antenna is located Add NR notch filter group to the road. More specifically, first detect whether there is interference according to the first detection result, and after there is interference, determine whether the interference signal is an NR signal or a WIFI signal, if the interference signal is an NR signal, the RF integrated circuit RFIC module of the NR radio frequency link The WIFI filter circuit is connected before, so that the signal transmitted by the RFCI module can be filtered; if the interference signal is a WIFI signal, the NR filter circuit is connected before the WIFI module of the WIFI RF link, so that the signal transmitted by the WIFI module can be filtered. , and then extract the filtered interfering signal in the channel through the coupling link in the circuit, so that the interfering signal is attenuated to the greatest extent in the frequency band of the interfered signal, and at the same time, the carrier power of the interfering signal is suppressed from leaking into the frequency band of the interfered signal, thereby Reduce the influence of the interference signal on the reception of the interfered signal.

It should be noted that the filter circuit with the notch filter can suppress the carrier leakage problem of NR and WIFI to a certain extent, and improve the out-of-band suppression capability of the transmission link, so that the adjacent frequency interference between each other can be suppressed, but it cannot Completely solve the interference problem, especially the co-channel interference caused by adjacent-channel interference and active nonlinear devices. Therefore, this embodiment further proposes to obtain an interference cancellation signal to cancel the influence of the interference signal on the interfered signal when the notch filter cannot solve the interference problem well. details as follows:

Step 103 , simulate the transmission delay of the filtered interference signal, and obtain the simulated interference signal of the interference signal synthesized by the n-channel signals.

Specifically, the transmission delay is the delay in the process of transmitting the interference signal from the transmitting antenna to the receiving antenna. Through the simulation of the transmission delay, n is a positive integer preset according to the actual situation.

It should be noted that, in step 102, the sensitivity or throughput data of the antenna that detects the interfered signal is maintained. After filtering, it is found that the value is still less than the set threshold, indicating that the interference needs to be further reduced. Therefore, step 103 needs to be continued.

Step 104: Perform signal attenuation processing and phase adjustment on the analog interference signal to obtain an interference cancellation signal.

Specifically, an adjustable phase shifter may be used to adjust the phase, so as to adapt to the phase change caused by selecting different coupling devices for the coupling link used when acquiring the interference signal in step 102, so as to ensure the compatibility of the radio frequency link. And can use variable attenuator for signal attenuation processing.

It should be noted that the signal attenuation processing is to reconstruct the space loss of the interference signal during the transmission process, so it is necessary to simulate the space loss of the interference signal as much as possible, and the phase adjustment is to allow the interference cancellation signal to cancel the interference signal as much as possible. , so the phase difference between the interference cancellation signal and the interference signal needs to be 180 degrees. The phase switching of the phase channel remains the same without changing the coupling link.

Step 105: The interfered signal processed by the interference cancellation signal is sent to the corresponding radio frequency main link.

Specifically, firstly, the interference cancellation signal and the interfered signal are mixed to cancel the adverse effect of the interference signal on the interfered signal. Then, if the interfered signal is a WIFI signal, it can be returned to the WIFI RF main chain through the π-type structure switch circuit. If the interfered signal is an NR signal, it can be returned to the NR radio frequency main chain through a π-type structure switch circuit. The advantages of using a π-type structure switch circuit are: on the one hand, when the NR signal interferes with the WIFI signal, if the channel ch0 on the radio frequency link where the WIFI signal is located is received, the WIFI after the NR self-interference signal can also be eliminated. The signal returns to another channel ch1 through the π-type structure switch circuit, and at the same time the signal received by channel ch1, the WIFI signal after eliminating the NR self-interference signal needs to be returned to the channel ch0 through the π-type structure switch circuit, so as to provide as many diversified as possible. Available paths; on the other hand, the on state can also be determined by setting the switch circuit in advance.

In the method for reducing NR and WIFI interference provided by the embodiments of the present application, the working status and working quality of the NR antenna and the WIFI antenna are detected, and a first detection result is obtained, so that whether there is interference can be detected according to the first detection result, and if there is interference, Access the filter circuit and extract the filtered interference signal, so that the carrier leakage problem of NR and WIFI can be suppressed by filtering, the out-of-band suppression capability of the transmission link can be improved, and the adjacent frequency interference between WIFI and NR can be further suppressed. Then, by simulating the transmission delay of the interference signal, the simulated interference signal is obtained, and then the interference cancellation signal with the same size and opposite phase as the interference signal is obtained through attenuation processing and phase adjustment. Finally, the interference cancellation signal is used to eliminate the interference signal to the interfered signal. The processed interfered signal is sent to the radio frequency link corresponding to the interfered signal, which further reduces the influence of the interference at the same frequency of the receiving antenna, so as to reduce the interference between NR and WIFI, which can not only solve the out-of-band carrier leakage It also has a good suppression effect on the interference caused by the nonlinear factors of the transmitter and entering the same frequency of the receiving antenna.

The second embodiment of the present application relates to a method for reducing NR and WIFI interference. This embodiment is roughly the same as the first embodiment. The difference is that step 103 is further limited. The specific process is shown in Figure 2:

Step 201: Detect the working state and working quality of the NR antenna and the WIFI antenna, and obtain a first detection result.

Specifically, step 201 in this embodiment is substantially the same as step 101 in the first embodiment, and details are not repeated here.

Step 202 , if interference is detected according to the first detection result, the filtering circuit is connected to extract the filtered interference signal.

Specifically, step 202 in this embodiment is substantially the same as step 102 in the first embodiment, and details are not repeated here.

Step 203: Set an arithmetic sequence including n elements, and determine the delay time of the n-channel signals according to the arithmetic sequence.

Specifically, the interference signal is actually a signal that can be regarded as a combination of multiplexed signals. In addition, there is a direct signal between the NR antenna and the WIFI antenna, so the interference signal obeys the Rice distribution. Through the single-input multiple-output structural circuit diagram shown in Figure 3, the initial interference analog signal is obtained by synthesizing n sinusoidal pulse signals with different time delays. It is to adjust the amplitude of each signal to simulate the same signal as the interference signal. Further, the delay time of the n-channel signals is set to take τ ₁ as the initial value, and d is the arithmetic sequence containing n elements with tolerance, so that only three parameters need to be set to perform step 203: the initial value τ ₁ , the tolerance d and the number of elements n can realize the preliminary simulation of the interference signal, which is simple and easy to operate. When the method is applied to a user terminal, etc., due to the limitation of terminal size and the like, under the premise of controllable multi-channel signals, n can be preferably set to 6, which will not affect the reconstruction accuracy of the self-interference signal. The determination of the initial value τ ₁ is mainly confirmed by the actual terminal motherboard test results and simulation experiments.

It should be noted that, in an actual physical structure circuit, the delay time value of each branch in FIG. 3 is determined. But the self-interference of WIFI to NR and the self-interference of NR to WIFI are not equal. The settings of the initial value τ ₁ are also different, so Fig. 4 is a circuit structure with symmetrical structure but asymmetrical physical parameters.

Step 204: Set n channels of sinusoidal pulse signals according to the delay time, and synthesize analog interference signals.

Step 205: Perform signal attenuation processing and phase adjustment on the analog interference signal to obtain an interference cancellation signal.

Specifically, step 205 in this embodiment is substantially the same as step 104 in the first embodiment, and details are not repeated here.

Step 206: Send the interfered signal processed by the interference cancellation signal to the corresponding radio frequency main link.

Specifically, step 206 in this embodiment is substantially the same as step 105 in the first embodiment, and details are not repeated here.

In this embodiment, on the basis of the first embodiment, due to the n channels of signals with equal delay intervals, the set parameters are reduced from the number of paths n reconstructed from self-interference to 3 parameters, without affecting the accuracy of the reconstruction of the interference signal. In the above, the variable parameters in the signal reconstruction process are greatly reduced, and the complexity of the later optimization algorithm is greatly reduced.

The third embodiment of the present application relates to a method for reducing NR and WIFI interference. This embodiment is roughly the same as the first embodiment, except that the notch filter used in filtering is also adjusted, as shown in FIG. 4 , including :

Step 401: Detect the working state and working quality of the NR antenna and the WIFI antenna, and obtain a first detection result.

Specifically, step 401 in this embodiment is substantially the same as step 101 in the first embodiment, and details are not repeated here.

Step 402, adjusting the filtering frequency band of the NR notch filter or the WIFI notch filter.

Specifically, adjust the filter circuit by adjusting the notch filter: when the NR signal is an interference signal, adjust the filter frequency band of the WIFI notch filter in the WIFI filter circuit; when the WIFI signal is an interference signal, adjust the NR filter circuit. The filter band of the NR notch filter.

Step 403, if it is detected that there is interference according to the first detection result, a corresponding filtering circuit is connected to extract the filtered interference signal.

Specifically, step 403 in this embodiment is substantially the same as step 102 in the first embodiment, and details are not repeated here.

Step 404 , simulate the transmission delay of the interference signal, and obtain the simulated interference signal of the interference signal synthesized by the n signals.

Specifically, step 404 in this embodiment is substantially the same as step 103 in the first embodiment, and details are not repeated here.

Step 405: Perform signal attenuation processing and phase adjustment on the analog interference signal to obtain an interference cancellation signal.

Specifically, step 405 in this embodiment is substantially the same as step 105 in the first embodiment, and details are not repeated here.

In step 406, the interfered signal processed by the interference cancellation signal is sent to the corresponding radio frequency link.

Specifically, step 406 in this embodiment is substantially the same as step 105 in the first embodiment, and details are not repeated here.

In this embodiment, on the basis of the first embodiment, the frequency band filtered by the notch filter is fine-tuned to solve the problem of carrier leakage in different situations. In addition, the adjustment of the filter frequency band ensures that the suppression effect of the notch filter will not affect the performance of the original transmit chain filter, and the in-band performance of the RF filter is maintained to the greatest extent.

The fourth embodiment of the present application relates to a method for reducing NR and WIFI interference. This embodiment is roughly the same as the first embodiment, except that step 104 is further limited, as shown in FIG. 5 , including:

Step 501: Detect the working state and working quality of the NR antenna and the WIFI antenna, and obtain a first detection result.

Specifically, step 501 in this embodiment is substantially the same as step 101 in the first embodiment, and details are not repeated here.

Step 502 , if interference is detected according to the first detection result, the filtering circuit is connected to extract the filtered interference signal.

Specifically, step 502 in this embodiment is substantially the same as step 102 in the first embodiment, and details are not repeated here.

Step 503 , simulate the transmission delay of the interference signal, and obtain the simulated interference signal of the interference signal synthesized by the n-channel signals.

Specifically, step 503 in this embodiment is substantially the same as step 103 in the first embodiment, and details are not repeated here.

In step 504, the attenuation factor and phase factor corresponding to the n-channel signals are sequentially determined.

Specifically, as shown in Figure 6, step 504 specifically includes:

Step 601: Determine the randomly generated phase value as the initial phase factor of the simulated interference signal.

Specifically, taking the NR signal interfering with the WIFI signal as an example, it is assumed that 6 channels of sinusoidal pulse signals will be used for synthesis when simulating the signal, then 6 output structures need to be used in the synthesis process, so the receiving channel ch0 of the WIFI signal corresponds to The receiving channel ch0 of the WIFI corresponds to the attenuation factor R ₀ and the phase factor ψ ₀ , and the receiving channel ch1 of the WIFI corresponds to the attenuation factors R ₁ and ψ ₁ . If it is represented in matrix form, it is:

Therefore, specifically, what is generated in step 601 is a random array, and the subsequent calculation process is to calculate the attenuation factor and the phase factor by channel.

It should be noted that step 601 actually further includes initializing the signal attenuation value to 0, that is, it is considered that the signal on the path is not attenuated.

Step 602: Set the initial attenuation factor of the simulated interference signal.

Step 603: Acquire the interfered signal and determine the return signal according to the interfered signal and the simulated interference signal.

Step 604, update the return signal according to the current attenuation factor and the current phase factor.

Specifically, step 604 has the following three situations:

One is, when the simulated interference signal is a simulation of the NR signal, and the interfered signal is a WIFI signal, update the returned signal, which is calculated by the following expression:

Among them, y(t) is the return signal, S(t) is the WIFI signal, C(t, r _0i , φ _0i ) is the analog interference signal corresponding to the i-th signal of the n-channel sinusoidal pulse signal constituting the analog interference signal part, u ∈ [1, n].

Another situation is that when the simulated interference signal is a simulation of the WIFI signal, the interfered signal is an NR signal, and the WIFI antenna of the WIFI signal is a dual antenna whose physical structure is symmetrical with the NR antenna of the NR signal as shown in Figure 7. Returns the signal, which is evaluated by the following expression:

Among them, y(t) is the return signal, S(t) is the WIFI signal, C(t,r _0i , φ _0i ) is the ith signal of the analog interference signal and the n-channel sinusoidal pulse signals that constitute the analog interference signal The corresponding part, u∈[1,n].

In another case, when the simulated interference signal is a simulation of the WIFI signal, the interfered signal is an NR signal, and the WIFI antenna of the WIFI signal is shown in Figure 8 as a dual antenna with asymmetric physical structure of the NR antenna of the NR signal, The update return signal is calculated by the following expression:

Among them, y(t) is the return signal, S(t) is the WIFI signal, and C ₀ (t, r _0i , φ _0i ) is the difference between the analog interference signal at the WIFI ch0 end and the n-channel sinusoidal pulse signals that constitute the analog interference signal The part corresponding to the i-th signal, C ₁ (t, r _0i , φ _0i ) is the part corresponding to the analog interference signal at the WIFI ch1 end and the i-th signal of the n-channel sinusoidal pulse signal constituting the analog interference signal, z∈ [1,n], v∈[1,n].

In the third case, the interference caused by the two WIFI transmit antennas to the NR receive antenna is converted into the solution method under the symmetrical antenna structure. The complexity of solving the original problem is reduced to the case of solving the single-antenna interference twice, which is very easy to implement in hardware and easy to implement in software algorithms.

It should be noted that the meaning of the accumulated symbols in the expressions of the above three situations is to obtain an attenuation factor (or phase factor) of one signal in the n-channel sinusoidal pulse signals in order of delay time from small to large, and each time the Both are subtracted from the previous return signal by subtracting the signal corresponding to the last determined attenuation factor (or phase factor).

Step 605, taking the power value of the returned signal as the first power.

Step 606: Obtain the first attenuation value and the second attenuation value of the signal for which the attenuation factor and phase factor are not obtained, and calculate the second power and third power of the returned signal according to the first attenuation value and the second attenuation value. , the second power and the third power update the first attenuation value and the second attenuation value until the first attenuation value and the second attenuation value are equal.

Wherein, the first attenuation value and the second attenuation value are parameters used for testing in the process of testing the attenuation factor, and powers with different attenuation degrees can be obtained according to the first attenuation value and the second attenuation value.

Specifically, taking a variable attenuator as an example, the maximum attenuation of a general-purpose product is 31.5dB, and the attenuation step is 0.5dB. Calculate the power values of the second power P _{01_up} and the third power P _{01_min} of the return signal in the case of the first attenuation value r _01-up = 31.5dB and the third attenuation value r _01-temp respectively, where if r _01-up +r _01-down is an integer, r _01-temp =(r _01-up +r _01-down )/2. Otherwise r _01-temp =[(r _01-up +r _01-down )/2]+0.5, where r _01-down is the third attenuation value. Take the two smaller values of P _01-down , P _{01_up} , and P _{01_min} , assuming that P _{01_min} <P _01-down <P _{01_up} . Then assign values: r _01-down =r _01-down , r _01-up =r _01-temp . If P _{01_min} is greater than the other two values, a random number m is generated and assigned: r _01-temp =m×r _01-temp , where m∈(r _01-down /r _01-temp ,r _01-up / r _01-temp ).

The above steps are repeated until r _01-up =r _01-down , and the corresponding first attenuation value of a certain channel of sinusoidal pulse signals is obtained.

It should be noted that each time the first attenuation value of a sinusoidal pulse signal is obtained, it is substituted into the expression for obtaining the return signal, the return signal is updated, and then the phase factor corresponding to the signal is obtained.

Step 607: Update the first attenuation value to the attenuation factor of the corresponding signal.

Step 608, update the return signal according to the current attenuation factor.

Specifically, in step 607, only the attenuation factor is updated. Therefore, only the return signal needs to be updated according to the attenuation factor here.

Step 609: After the signal for which the attenuation factor and phase factor are not obtained determines the attenuation factor, obtain the first phase value and the second phase value, and calculate the analog interference signal processed by the attenuation factor according to the first phase value and the second phase value. The fourth power and the fifth power update the first phase value and the second phase value according to the first power, the fourth power and the fifth power until the first phase value and the second phase value are equal.

Specifically, step 609 and step 606 are substantially the same, and will not be repeated here.

It should be noted that the value range of the phase factor is (-π,π).

Step 610: Update the first phase value to a phase factor.

Step 611: Detect whether each channel of signal obtains the corresponding phase factor and attenuation factor.

Specifically, if yes, go to step 612, if not, go to step 604.

Step 612, output the attenuation factor and the phase factor.

Step 505: Perform signal attenuation on the analog interference signal according to the attenuation factor.

Specifically, each signal is attenuated under the corresponding attenuation factor.

Step 506: Adjust the phase of the attenuated analog interference signal according to the phase factor to obtain the interference cancellation signal.

Specifically, each signal is adjusted to the phase determined by the corresponding phase factor.

Step 507: Send the interfered signal processed by the interference cancellation signal to the corresponding radio frequency link.

Specifically, step 507 in this embodiment is substantially the same as step 105 in the first embodiment, and details are not repeated here.

This embodiment is based on the first embodiment, because when the phase error

At this time, the system initially has the ability to suppress radio frequency self-interference. According to this conclusion, the optimal parameters of the returned signal are most affected by the attenuation factor, and a signal attenuation and phase adjustment method proposed for the physical characteristics of the actual terminal device, when the attenuation factor and the phase factor are not continuous parameters, is more suitable. In line with the actual situation, the practicability is higher.

The fifth embodiment of the present application relates to a method for reducing NR and WIFI interference. This embodiment is roughly the same as the first embodiment, except that after using the interference cancellation signal to reduce interference, it is necessary to adjust the signal attenuation process and the phase adjustment process. , as shown in Figure 9, including:

Step 901: Detect the working state and working quality of the NR antenna and the WIFI antenna, and obtain a first detection result.

Specifically, step 901 in this embodiment is substantially the same as step 101 in the first embodiment, and details are not repeated here.

Step 902, if it is detected that there is interference according to the first detection result, access the filtering circuit and extract the filtered interference signal.

Specifically, step 902 in this embodiment is substantially the same as step 102 in the first embodiment, and details are not repeated here.

Step 903 , simulate the transmission delay of the interference signal, and obtain the simulated interference signal of the interference signal synthesized by the n-channel signals.

Specifically, step 903 in this embodiment is substantially the same as step 103 in the first embodiment, and details are not repeated here.

Step 904: Perform signal attenuation processing and phase adjustment on the analog interference signal to obtain an interference cancellation signal.

Specifically, step 904 in this embodiment is substantially the same as step 104 in the first embodiment, and details are not repeated here.

Step 905: Detect the working state and working quality of the NR antenna and the WIFI antenna after the interference cancellation signal has been processed the interfered signal, and obtain a second detection result.

Specifically, step 905 in this embodiment is substantially the same as step 101 in the first embodiment, and details are not repeated here.

Step 906: Determine whether the interference cancellation signal is valid according to the second detection result.

Specifically, if yes, go to step 908, if not, go to step 907.

More specifically, if it is judged that there is still interference according to the second detection result, it is considered that the interference cancellation signal is no longer effective and needs to be adjusted; if it is judged that the interference disappears according to the second detection result, it is considered that the current acquisition interference cancellation can be continued. The signal method does not require adjustment.

Step 907 , take the attenuation factor and the phase factor as new initial values, use the particle swarm optimization PSO algorithm to obtain the optimal solution of the phase adjustment amplitude and the attenuation amplitude, and update the interference cancellation signal according to the optimal solution.

Specifically, the acquisition of the phase adjustment amplitude and the attenuation amplitude may be an array containing the attenuation factor and a numerical value containing the phase factor acquired in the third embodiment. In practical application, an A/D converter is added to the circuit, and the objective function of the PSO algorithm adopts the following expression:

(w ₁ -n ₁ ) ² +(w ₂ -n ₂ ) ² +(w ₃ -n ₃ ) ² +...+(w _x -n _x ) ²

Among them, x is the number of sampling points, n ₁ , n ₂ , n ₃ , ..., n _x are the sampling values of the disturbed signal, and w ₁ , w ₂ , w ₃ , ..., w _x are the sampling values of the disturbing signal.

More specifically, in a specific implementation, the acquisition of the interference cancellation signal is divided into three time slots. The first time slot is the process of determining the fading factor and phase factor as involved in the third embodiment. The second time slot is the data communication stage, and the interference cancellation signal is applied to reduce the interference between the NR signal and the WIFI signal, and carry out better quality communication. The third time slot, in view of environmental factors, especially for long-term coexistence of WIFI and NR systems, will cause the actual interference signal between the two to not correspond to the interference cancellation signal, resulting in more influential interference. Therefore, the process of adjusting and acquiring the interference cancellation signal involved in step 1008 needs to be performed, that is, adjusting the attenuation factor and the phase factor.

It should be noted that the PSO algorithm is a preferred solution, and may actually be other algorithms for obtaining an optimal solution or a local optimal solution, and the embodiments of the present application do not limit the algorithm.

Step 908, the interfered signal processed by the interference cancellation signal is sent to the corresponding radio frequency main link.

Specifically, step 907 in this embodiment is substantially the same as step 105 in the first embodiment, and details are not repeated here.

This embodiment is based on the first embodiment, because after using the interference cancellation signal to reduce the interference, it is necessary to adjust the signal attenuation process and the phase adjustment process, so that the obtained interference cancellation signal is more accurate, and the cancellation effect of the interference cancellation signal is better. , further reducing the interference between NR and WIFI.

It should be noted that the "first" and "second" mentioned in the above embodiments are for the convenience of describing data acquired in different situations, and do not have actual meanings.

In addition, it should be understood that the division of steps of the various methods above is only for the purpose of describing clearly, and can be combined into one step or split into some steps during implementation, and decomposed into multiple steps, as long as the same logical relationship is included, all Within the protection scope of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs, but not changing the core design of the algorithm and process are all within the protection scope of this patent.

The sixth embodiment of the present application relates to an apparatus for reducing NR and WIFI interference, as shown in FIG. 10 , including:

The detection module 1001 is configured to detect the working state and working quality of the NR antenna and the WIFI antenna, and obtain a first detection result.

The filtering module 1002 is configured to access the filtering circuit and extract the filtered interference signal if interference is detected according to the first detection result of the detection module.

Specifically, the filtering module adopts the NR notch filter group and the WIFI notch filter group.

The interference cancellation NWIC module 1003 is used to simulate the transmission delay of the interference signal processed by the filtering module, and obtain the simulated interference signal of the interference signal synthesized by the n signals, where n is a preset positive integer, and the transmission delay It is the time delay in the process of the interference signal being transmitted from the transmitting antenna to the receiving antenna. The analog interference signal is subjected to signal attenuation processing and phase adjustment to obtain the interference cancellation signal. The phase difference between the interference cancellation signal and the interference signal is 180 degrees. The interfered signal processed by the interference cancellation signal is sent back to the corresponding radio frequency main link.

Specifically, if the WIFI signal interferes with the NR signal, the NWIC module 1003 can be connected to the antenna of the NR signal and the antenna of the WIFI signal as shown in FIG. 11 . The feature of this structure is that three switches form a π-type structure and are connected to the NWIC module and the NR RF main link. open state. When WIFI interferes with NR reception, disconnect S1 and connect S2 and S3, so that the NWIC module 1003 is in the working mode. In this way, self-interference cancellation and NR antenna reception work in parallel. Since NR usually consists of four MIMO receiving channels, each channel needs to be configured and connected to the NWIC module 1003 . The difference from the NR interference WIFI receiving antenna is that the signal processed by the NWIC module 1003 has 24 output paths according to the principle of symmetry, and its configuration has great flexibility. Among them, the interference cancellation signal can be sent back to the main RF link through the π-type switch circuit structure as shown in Figure 12. In the π-type switch circuit structure, the position of the tag in each RF main channel is the NR receiving antenna and the radio frequency. Between the front-end filters, if the NR signal interferes with the WIFI signal, it is roughly similar to the above, and will not be repeated here.

It is not difficult to find that this embodiment is a device embodiment corresponding to the first embodiment, and this embodiment can be implemented in cooperation with the first embodiment. The technical details mentioned in the first embodiment are still valid in this embodiment, and are not repeated here in order to reduce repetition. Correspondingly, the technical details mentioned in this embodiment can also be applied in the first embodiment.

It is worth mentioning that all the modules involved in this embodiment are logical modules. In practical applications, a logical unit may be a physical unit, a part of a physical unit, or multiple physical units. A composite implementation of the unit. In addition, in order to highlight the innovative part of the present application, this embodiment does not introduce units that are not closely related to solving the technical problem raised by the present application, but this does not mean that there are no other units in this embodiment.

The seventh embodiment of the present application relates to an electronic device, as shown in FIG. 11 , including:

at least one processor 1101; and,

a memory 1102 in communication with the at least one processor 1101; wherein,

The memory 1102 stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor 1101 to enable the at least one processor 1101 to execute the first to fifth embodiments of the present application Examples of methods to reduce NR and WIFI interference.

The memory and the processor are connected by a bus, and the bus may include any number of interconnected buses and bridges, and the bus connects one or more processors and various circuits of the memory. The bus may also connect together various other circuits, such as peripherals, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides the interface between the bus and the transceiver. A transceiver may be a single element or multiple elements, such as multiple receivers and transmitters, providing a means for communicating with various other devices over a transmission medium. The data processed by the processor is transmitted on the wireless medium through the antenna, and further, the antenna also receives the data and transmits the data to the processor.

The processor manages the bus and general processing, and can also provide various functions, including timing, peripheral interface, voltage regulation, power management, and other control functions. Instead, memory may be used to store data used by the processor in performing operations.

The eighth embodiment of the present application relates to a computer-readable storage medium storing a computer program. The above method embodiments are implemented when the computer program is executed by the processor.

That is, those skilled in the art can understand that all or part of the steps in the method for implementing the above embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium and includes several instructions to make a device ( It may be a single chip microcomputer, a chip, etc.) or a processor (processor) to execute all or part of the steps of the methods described in 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), magnetic disk or optical disk and other media that can store program codes .

Those of ordinary skill in the art can understand that the above-mentioned embodiments are specific embodiments for realizing the present application, and in practical applications, various changes in form and details can be made without departing from the spirit and the spirit of the present application. scope.

Claims (12)

1. A method to reduce NR and WIFI interference, including:

   Detect the working status and quality of the NR antenna and WIFI antenna, and obtain the first detection result;

   If it is detected that there is interference according to the first detection result, access the filtering circuit and extract the filtered interference signal;

   Simulate the transmission delay of the filtered interference signal, and obtain the simulated interference signal of the interference signal synthesized by n signals, where n is a preset positive integer, and the transmission delay is the interference signal. The delay in the transmission of the signal from the transmitting antenna to the receiving antenna;

   Perform signal attenuation processing and phase adjustment on the analog interference signal to obtain an interference cancellation signal, wherein the phase difference between the interference cancellation signal and the interference signal is 180 degrees;

   The interfered signal processed by the interference cancellation signal is sent to the corresponding radio frequency main link.
2. The method according to claim 1, wherein the simulating the transmission delay of the filtered interference signal to obtain the simulated interference signal of the interference signal synthesized by the n-channel signals comprises:

   Set up an arithmetic sequence containing n elements, and determine the delay time of n signals according to the arithmetic sequence;

   According to the delay time, n channels of sinusoidal pulse signals are set to synthesize the analog interference signal.
3. The method according to any one of claims 1 to 2, wherein the performing signal attenuation processing and phase adjustment on the analog interference signal to obtain the interference cancellation signal comprises:

   Determining the attenuation factor and phase factor corresponding to the n-channel signals in turn;

   performing signal attenuation on the analog interference signal according to the attenuation factor;

   The phase of the attenuated analog interference signal is adjusted according to the phase factor to obtain the interference cancellation signal.
4. The method according to claim 3, wherein the sequentially determining the attenuation factor and the phase factor corresponding to the n-channel signals comprises:

   determining a randomly generated phase value as the initial phase factor of the analog interference signal;

   setting the initial attenuation factor of the analog interference signal;

   Acquire the interfered signal and determine the return signal according to the interfered signal and the simulated interference signal;

   Update the return signal according to the current attenuation factor and the current phase factor;

   taking the power value of the returned signal as the first power;

   obtaining the first attenuation value and the second attenuation value of the signal for which the attenuation factor and the phase factor are not determined, and calculating the second power and the third power of the returned signal according to the first attenuation value and the second attenuation value , and update the first attenuation value and the second attenuation value according to the first power, the second power and the third power until the first attenuation value and the second attenuation value are equal ; update the first attenuation value to the attenuation factor of the corresponding signal;

   Update the return signal according to the current attenuation factor;

   After the attenuation factor is determined for the signal for which the attenuation factor and the phase factor are not determined, the corresponding first phase value and the second phase value are obtained, and the the fourth power and the fifth power of the analog interference signal processed by the attenuation factor, and the first phase value and the fifth power are updated according to the first power, the fourth power and the fifth power a second phase value until the first phase value and the second phase value are equal;

   Update the first phase value to the phase factor, and perform the step of updating the return signal according to the current attenuation factor and the current phase factor, until the attenuation corresponding to the n-channel signals is obtained factor and phase factor.
5. The method of claim 4, wherein the calculating the second power and the third power of the return signal according to the first attenuation value and the second attenuation value comprises,

   detecting whether the sum of the first attenuation value and the second attenuation value is an integer;

   If so, determine the average value of the first attenuation value and the second attenuation value as the third attenuation value;

   If not, determining that the sum of the rounded average value of the first attenuation value and the second attenuation value and a preset attenuation increment is the third attenuation value;

   Determining the attenuated power of the return signal at the first attenuation value as the second power;

   Determining the attenuated power of the return signal under the third attenuation value as the third power;

   The updating the first attenuation value and the second attenuation value according to the first power, the second power and the third power includes,

   sorting the first power, the second power and the third power from large to small;

   If the third power is in the first order, a random number x is generated, and the product of x and the third attenuation value is updated to the third attenuation value;

   Calculate the third power corresponding to the current third attenuation value, and re-sort the first power, the second power and the third power from large to small;

   If the third power is still in the first order, returning to the step of detecting whether the sum of the first attenuation value and the second attenuation value is an integer;

   If not, update the first attenuation value and the second attenuation value;

   The first attenuation value and the second attenuation value are respectively updated to attenuation factor values corresponding to two smaller values after the first power, the second power and the third power are sorted in descending order.
6. The method according to claim 4, wherein the analog interference signal is composed of n channels of sinusoidal pulse signals,

   If the simulated interference signal is a simulation of an NR signal, and the interfered signal is a WIFI signal, the update return signal is specifically calculated by the following expression:

   

   Wherein, y(t) is the return signal, S(t) is the WIFI signal, C(t, r _0i , φ _0i ) is the analog interference signal and the n-channel sinusoidal pulses that constitute the analog interference signal The part corresponding to the i-th signal of the signal, u∈[1,n]; or,

   If the simulated interference signal is a simulation of the WIFI signal, the interfered signal is the NR signal, and the WIFI antenna of the WIFI signal is a dual antenna whose physical structure is symmetrical with the NR antenna of the NR signal, The update return signal is specifically calculated by the following expression:

   

   Wherein, y(t) is the return signal, S(t) is the WIFI signal, C(t, r _0i , φ _0i ) is the analog interference signal and the n-channel sinusoidal pulses that constitute the analog interference signal The part corresponding to the i-th signal of the signal, u∈[1,n]; or,

   If the simulated interference signal is a simulation of the WIFI signal, the interfered signal is the NR signal, and the WIFI antenna of the WIFI signal is a dual antenna whose physical structure is asymmetrical to the NR antenna of the NR signal , the update returns a signal, which is calculated by the following expression:

   

   Wherein, y(t) is the return signal, S(t) is the WIFI signal, C ₀ (t, r _0i , φ _0i ) is the analog interference signal at the WIFI ch0 end and the n channels that constitute the analog interference signal The part corresponding to the i-th signal of the sinusoidal pulse signal, C ₁ (t, r _0i , φ _0i ) is the analog interference signal at the WIFI ch1 end and the i-th signal corresponding to the n-channel sinusoidal pulse signal constituting the analog interference signal Part, ch0, ch1 are the two-way transmit links of WIFI in MIMO working state, z∈[1,n], v∈[1,n].
7. The method of any one of claims 1 to 6, further comprising:

   Detecting the working state and working quality of the NR antenna and the WIFI antenna after processing the interfered signal by the interference cancellation signal, and obtaining a second detection result;

   Determine whether the interference cancellation signal is valid according to the second detection result;

   If not, take the attenuation factor and the phase factor as new initial values, use the particle swarm optimization PSO algorithm to obtain the optimal solution of the phase adjustment amplitude and the attenuation amplitude, and update the optimal solution according to the optimal solution. Interference cancellation signal, wherein, the objective function of the PSO algorithm is

   (w ₁ -n ₁ ) ² +(w ₂ -n ₂ ) ² +(w ₃ -n ₃ ) ² +...+(w _x -n _x ) ²

   x is the number of sampling points, n ₁ , n ₂ , n ₃ , . . . , n _x is the sampled value of the interfered signal, and w ₁ , w ₂ , w ₃ , . . . , w _x is the sampled value of the interference signal.
8. The method according to any one of claims 1 to 7, wherein the filter circuit is an NR filter circuit with a WIFI notch filter or a WIFI filter circuit with an NR notch filter, and the access filter circuit includes: :

   If the WIFI antenna interferes with the NR antenna, the NR filter circuit is connected to the main link where the WIFI antenna is located;

   If the NR antenna interferes with the WIFI antenna, the WIFI filter circuit is connected to the main link where the NR antenna is located.
9. The method according to claim 8, wherein before the accessing to the filtering circuit, the method further comprises:

   Adjust the filtering frequency band of the NR notch filter or the WIFI notch filter.
10. A device for reducing NR and WIFI interference, comprising:

    The detection module is used to detect the working status and working quality of the NR antenna and the WIFI antenna, and obtain the first detection result;

    a filtering module, configured to access a filtering circuit and extract a filtered interference signal if interference is detected according to the first detection result of the detection module;

    The interference cancellation NWIC module is used to simulate the transmission delay of the interference signal processed by the filtering module, and obtain the simulated interference signal of the interference signal synthesized by n signals, wherein n is a preset positive Integer, the transmission delay is the delay in the process of transmitting the interference signal from the transmitting antenna to the receiving antenna. Perform signal attenuation processing and phase adjustment on the analog interference signal to obtain an interference cancellation signal, where the interference The phase difference between the cancellation signal and the interference signal is 180 degrees, and the interfered signal processed by the interference cancellation signal is sent back to the corresponding radio frequency main link.
11. An electronic device comprising:

    at least one processor; and,

    a memory communicatively coupled to the at least one processor; wherein,

    The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the execution of any one of claims 1 to 9 The methods described above to reduce NR and WIFI interference.
12. A computer-readable storage medium storing a computer program, when the computer program is executed by a processor, the method for reducing NR and WIFI interference according to any one of claims 1 to 9 is implemented.

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