A 5G Repeater Self-Excitation Detection Method, System, Device, and Storage Medium

Abstract

The present invention belongs to the field of wireless communication, and discloses a 5G repeater self-oscillation detection method, system, device and storage medium. Based on the original hardware and structure of the 5G repeater, the present invention can achieve self-oscillation detection without any modification. The present invention can monitor the power waveform in real time, and can complete the self-oscillation induction confirmation within seconds when a self-oscillation power jump waveform appears, with good detection real-time performance. The monitoring process of the present invention is in a passive state and has no impact on services. The self-oscillation induction confirmation takes a very short time and has a slight impact on services. The entire process does not require interrupting the link service. Since the present invention adds a step of induction confirmation in waveform detection, the self-oscillation false detection rate is very low. The present invention has universality and can be applied to existing 5G repeaters and 4G repeaters without additional hardware modification.

Description

Technical Field

[0001] The present invention belongs to the field of wireless communication, and particularly relates to a self-excitation detection method, system, device, and storage medium for a 5G repeater. Background Art

[0002] With the rapid development of mobile communication technology, the wireless signals provided by operators have covered most areas of large cities and towns, but there are still many coverage blind spots and weak coverage areas, such as underground shopping malls, underground parking lots, and elevator shafts. At the same time, 5G communication generally uses higher-frequency signals compared to 4G. According to the relevant characteristics of electromagnetic waves, the path loss of high-frequency signals is greater, the coverage range is smaller, and the corresponding signal blind spots and dead spots have become more serious problems. Self-excitation will lead to deterioration of signal quality and even communication interruption.

[0003] Since the wireless repeater has the same transmitting and receiving frequency, signal self-excitation is inevitably generated. When the isolation degree between the transmitting and receiving antennas is insufficient, radio frequency channel self-excitation will be triggered, and after self-excitation occurs, it will lead to deterioration of signal quality and even communication interruption.

[0004] Since the construction of 5G communication has been fully launched, the demand for 5G repeaters has gradually increased. Due to the particularity of 5G communication technology, the original self-excitation detection methods are not fully applicable or inaccurate in 5G repeaters. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above deficiencies and provide a self-excitation detection method, system, device, and storage medium for a 5G repeater, which can solve the problem that it is difficult to detect signal self-excitation in current 5G wireless relay repeaters.

[0006] In order to achieve the above purpose,

[0007] Compared with the prior art, the present invention can achieve self-excitation detection without any modification on the basis of the original hardware and structure of the 5G repeater; the present invention can monitor the power waveform in real time, and when a self-excitation power jump waveform appears, it can complete self-excitation induction confirmation within a few seconds, with good detection real-time performance; the monitoring process of the present invention is in a passive state and has no impact on services. The self-excitation induction confirmation takes a very short time and has a slight impact on services. The entire process does not require interrupting the link service; since the present invention adds a step of induction confirmation in waveform detection, the self-excitation misdetection rate is very low. The present invention has universality and can be applied to current 5G repeaters and 4G repeaters without additional hardware modification. Brief Description of the Drawings

[0008] Figure 1 It is a method step diagram of the present invention;

[0009] Figure 2 It is a method flow chart of the present invention;

[0010] Figure 3 This is the system diagram of the present invention. Detailed implementation manners

[0011] The present invention will be further described below in conjunction with the accompanying drawings.

[0012] The present invention detects the radio frequency output power and the current channel gain of the 5G channel in real time. When the channel self-oscillates, the output power of the channel will jump. There will be a power jump in the output power before and after the gain critical point that causes self-oscillation. That is, when the channel gain increases / decreases by 1 dB, the output power will increase / decrease by more than 5 dB. After detecting multiple power jumps within a period of time, it is judged whether the channel gains during multiple power jumps are consistent. If they are consistent, self-oscillation induction is performed. The channel gain is set slightly lower than the average gain value during the power jump, and it is detected whether the output power has a power jump. Repeating the self-oscillation induction several times can determine that this gain causes self-oscillation.

[0013] See Figure 1 , the present invention includes the following steps:

[0014] Step 1: Detect the average output power of the current 5G channel in the current data cycle in real time, denoted as p_tx_power, and record the current channel gain, denoted as g_tx. When the first power jump is detected, that is, the difference between the average power p_tx_power of the current data cycle and the average power p_tx_power_last of the previous data cycle exceeds the threshold Pwr_diff_th, and the average power p_tx_power of the current data cycle exceeds the channel rated transmit power Deault_Tx_power, start the continuous power jump detection timer;

[0015] Further, the power jump threshold Pwr diff th can be set to 8 dB;

[0016] Step 2: Before the timing count expires, detecting the next power jump is regarded as a continuous power jump, and the continuous power jump count Continues_pulse_counter + 1. At the same time, the timing count is reset. If the next power jump is not detected before the timer expires, the continuous power jump count Continues_pulse_counter is cleared. If the count of Continues_pulse_counter exceeds the threshold Continues_pulse_th, consistency determination is performed. Read the channel gain before and after each power jump, and judge whether the channel gains are consistent. If the range of the gain values does not exceed the threshold Diff_th, it is considered that there is a suspicion of self-oscillation in the current channel, and self-oscillation induction is performed.

[0017] Further, the continuous power jump count threshold Continues_pulse_th can be set to 8;

[0018] Step 3: Read the average value of the channel gain during power jump, denoted as g_self_excited_average. Set the channel gain to g_self_excited_average + the self-excitation induced offset g_self_excited_offset, and read whether there is a power jump in the current channel output power. If there is no power jump, confirm to exit the program and clear the count. If there is a power jump, set the gain to the average value of the power jump gain + the non-self-excitation induced offset g_none_se_offset, and observe whether the output returns to the normal value;

[0019] Further, the self-excitation induced offset g_self_excited_offset can be set to -2 db;

[0020] Further, the non-self-excitation induced offset g_none_se_offset can be set to 2 db;

[0021] Step 4: Repeat Step 3, repeat the self-excitation three times, and confirm that each induction can induce channel self-excitation, then it can be determined that the power jump is caused by self-excitation, and notify the device to handle the self-excitation.

[0022] Embodiment:

[0023] See Figure 2 , the specific steps of the present invention include:

[0024] Step 1: Real-time detect the average output power of the current 5G channel in the current data cycle, denoted as p_tx_power, and record the current channel gain, denoted as g_tx;

[0025] Step 2: When the first power jump is detected, that is, the difference between the average power p_tx_power of the current data cycle and the average power p_tx_power_last of the previous data cycle exceeds the threshold Pwr_diff_th, and the average power of the current data cycle exceeds the channel rated transmit power Deault_Tx_power, start the continuous power jump detection timer;

[0026] Further, the power jump threshold Pwr_diff_th can be set to 8 db;

[0027] Step 3: Before the timing count expires, if the next power jump is detected, it is regarded as a continuous power jump, and the continuous power jump count Continues_pulse_counter is incremented by 1. At the same time, the timing count is reset. If no next power jump is detected before the timer expires, the continuous power jump count Continues_pulse_counter is cleared, and the self-excitation detection process is exited;

[0028] Step 4: If the count of Continues_pulse_counter exceeds the threshold Continues_pulse_th, perform a consistency determination;

[0029] Further, the threshold for the continuous power jump count Continues_pulse_th can be set to 8;

[0030] Step 5: Read the channel gain before and after each power jump, and determine whether the channel gains are consistent. If the difference between the gain values does not exceed the threshold Diff_th, it is considered that there is a suspicion of self-excitation in the current channel, and self-excitation induction is performed;

[0031] Further, the threshold for the gain difference Diff_th can be set to 2;

[0032] Further, when it is determined that the channel gains are consistent, proceed to Step 7;

[0033] Further, when it is determined that the channel gains are inconsistent, proceed to Step 6;

[0034] Step 6: When the channel gains are inconsistent, exit the self-excitation detection process;

[0035] Step 7: Read the average value of the channel gain at the time of the power jump, denoted as g_self_excited_average, and set the channel gain to g_self_excited_average + the self-excitation induction offset g_self_excited_offset;

[0036] Further, the self-excitation induction offset g_self_excited_offset can be set to -2 db;

[0037] Step 8: Read whether there is a power jump in the output power of the current channel,

[0038] Further: If no power jump occurs, proceed to Step 9;

[0039] Further: If a power jump occurs, proceed to Step 10;

[0040] Step 9: Exit the self-excitation detection process and clear the count;

[0041] Step 10: If there is a power jump, set the gain to the mean of the power jump gain + the non-self-excitation induced offset g_none_se_offset, and observe whether the output returns to the normal value, which should be less than the rated power;

[0042] Further, the non-self-excitation induced offset g_none_se_offset can be set to 2 db;

[0043] Further: If there is no power jump, go to Step 11;

[0044] Further: If there is a power jump, go to Step 12;

[0045] Step 11: Exit the self-excitation detection process and clear the count;

[0046] Step 12: Repeat Steps 7 - 11 to complete three self-excitation inductions. If power jumps are detected in all three inductions, it can be determined that the power jump is caused by self-excitation, and the device is notified to handle the self-excitation;

[0047] See Figure 3 , the system of the present invention includes a channel power sampling and detection module, a continuous power jump detection module, and a self-excitation induction confirmation module.

[0048] The main function of the channel power sampling and detection module is to perform AD sampling on the channel output power and calculate the average power of the service data within one period;

[0049] The main function of the continuous power jump detection module is to identify whether there is a continuous power jump through the power jump threshold and power jump interval of the output power waveform, and to count the number of current accumulated continuous power jumps through a power jump count. When the number of continuous power jumps exceeds the threshold, judge the gain consistency of the power jump to determine whether there is a self-excitation suspicion and perform self-excitation induction.

[0050] The main function of the self-excitation induction confirmation module is to perform self-excitation induction and self-excitation confirmation. When there is a self-excitation suspicion in the 5G channel, set the channel gain to the gain value that will cause a self-excitation power jump, and detect whether there is a self-excitation power jump. After continuously confirming three times, it can be confirmed that self-excitation has occurred under this working condition.

[0051] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0052] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in one or more blocks of the block diagram

[0053] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means that implement the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in one or more blocks of the block diagram

[0054] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in one or more blocks of the block diagram

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A self-excitation detection method for a 5G repeater, characterized in that, It includes the following steps: S1. Real-time detect the average output power of the current 5G channel in the current data cycle as the current channel gain. When the first power jump is detected, start a continuous power jump detection timer and execute S2; S2. Before the continuous power jump detection timer expires, if a power jump is detected again, it is regarded as a continuous power jump and S3 is executed; before the continuous power jump detection timer expires, if no power jump is detected, S4 is executed; S3. Accumulate the continuous power jump count, and reset the continuous power jump detection timer, then execute S5; S4. Clear the continuous power jump count and execute S1; S5. If the continuous power jump count does not exceed the threshold, execute S2; if the continuous power jump count exceeds the threshold, execute S6; S6. Read the channel gain before and after each power jump and determine whether the channel gains are consistent. If the numerical range difference of the channel gains does not exceed the threshold, it is considered that there is a suspicion of self-oscillation in the current channel, and self-oscillation induction is performed, then execute S7; Otherwise, execute S4; S7. Read the average value of the channel gain at the time of power jump, set the channel gain to the sum of the average value of the channel gain at the time of power jump and the self-oscillation induction offset, and read whether there is a power jump in the output power of the current channel. If no power jump occurs, execute S4; if a power jump occurs, set the gain to the sum of the average value of the channel gain at the time of power jump and the non-self-oscillation induction offset, and judge whether the output returns to the normal value. If so, execute S8; if not, execute S4; S8. Judge whether the self-oscillation induction reaches the threshold. If so, execute S9; if not, execute S4; S9. Confirm that self-oscillation is detected, notify the device to handle self-oscillation, and execute S4.

2. The self-excitation detection method of a 5G repeater according to claim 1, wherein, A power jump means that the difference between the average power of the current data cycle and the average power of the previous data cycle exceeds the threshold, and the average power of the current data cycle exceeds the rated transmission power of the channel.

3. A 5G repeater self-excitation detection method according to claim 1, characterized in that, S3. The continuous power jump count is incremented by 1 each time.

4. A 5G repeater self-oscillation detection method according to claim 1, characterized in that, In S8, the self-oscillation induction threshold is three times.

5. A 5G repeater self-oscillation detection system for implementing the 5G repeater self-oscillation detection method described in any one of claims 1-4, characterized in that, It includes a channel power sampling detection module, a continuous power jump detection module, and a self-oscillation induction confirmation module; The channel power sampling detection module is used to perform AD sampling on the channel output power and calculate the average power of service data within one cycle; The continuous power jump detection module is used to judge whether there is a suspicion of self-oscillation and perform self-oscillation induction; The self-oscillation induction confirmation module is used to perform self-oscillation induction and self-oscillation confirmation.

6. A 5G repeater self-excitation detection system according to claim 5, characterized in that, The continuous power jump detection module is also used to identify whether it is a continuous power jump through the power jump threshold and power jump interval of the output power waveform, and use a power jump count to count how many continuous power jumps have been accumulated currently. When the number of continuous power jumps exceeds the threshold, judge the gain consistency of the power jumps to determine whether there is a suspicion of self-oscillation and perform self-oscillation induction.

7. The self-excitation detection system of a 5G repeater according to claim 5, characterized in that The self-oscillation induction confirmation module is also used to, when there is a suspicion of self-oscillation in the 5G channel, set the channel gain to the gain value that will generate a self-oscillation power jump, and detect whether a self-oscillation power jump occurs. After continuously confirming three times, it can be confirmed that self-oscillation has occurred under this working condition.

8. An electronic device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of a 5G repeater self-oscillation detection method according to any one of claims 1 to 4 are implemented.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of a 5G repeater self-oscillation detection method according to any one of claims 1 to 4 are implemented.

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