Background noise intelligent optimization wireless communication method based on repeater

Abstract

The invention discloses a ground noise intelligent optimization wireless communication method based on a repeater, and relates to the technical field of communication, and the method comprises the steps: firstly obtaining a to-be-optimized repeater, determining the test input power of the to-be-optimized repeater by using a preset test input signal, then obtaining a gain allowable interval, traversing the gain, and carrying out the gain operation; synchronously recording test output power and a signal-to-noise ratio construction sequence; constructing a change curve based on the sequence, intercepting an effective part to determine an optimal gain interval, summarizing the optimal gain intervals corresponding to different test input powers to generate an adjustment table, monitoring an actual input power matching gain in real time, executing operation, continuously monitoring an output signal-to-noise ratio, triggering an updating process when the output signal-to-noise ratio is lower than a threshold value, and updating the output signal-to-noise ratio. The invention aims to optimize the bottom noise of the repeater and improve the wireless communication performance.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of communication, and in particular relates to a bottom noise intelligent optimization wireless communication method based on a repeater. BACKGROUND

[0002] With the rapid development of economy, various industries are booming, information exchange is growing explosively, and the dependence on wireless communication is becoming increasingly strong; from bustling cities to remote villages, wireless communication networks are ubiquitous, becoming an indispensable cornerstone for social operation.

[0003] In the field of wireless communication, the optimization of the repeater has always been a key link to improve signal quality; the existing technology has many limitations in the gain adjustment of the repeater; the traditional method relies on fixed gain setting or experience threshold segmented adjustment, which is difficult to adapt to the complex and changeable input power environment, resulting in unstable output power and poor signal-to-noise ratio optimization effect; for example, when the input signal strength fluctuates, fixed gain may cause the output power to exceed the allowed range or the signal-to-noise ratio to decrease, affecting the communication quality; and the simple segmented gain adjustment method often has the problem of inaccurate gain matching at different input powers due to the lack of detailed analysis of the relationship between gain and signal-to-noise ratio; in addition, the existing technology mainly focuses on manual or semi-automatic adjustment, which has low real-time performance and automation degree, and cannot respond to changes in input power in time, easily missing the best gain adjustment opportunity; in terms of monitoring and updating mechanism, the existing technology can only perform simple signal-to-noise ratio monitoring, lacks effective adaptive updating strategies, and once the communication environment changes or the signal-to-noise ratio decreases, it is difficult to automatically optimize the gain setting, which requires manual intervention, increasing the maintenance cost and complexity.

[0004] To solve the above problems, the application provides a bottom noise intelligent optimization wireless communication method based on a repeater. SUMMARY

[0005] In view of the deficiencies of the prior art, the application provides a bottom noise intelligent optimization wireless communication method based on a repeater, which solves the problem that the prior art cannot adaptively adjust the gain to achieve the best signal-to-noise ratio in the signal transmission of the repeater, and the bottom noise suppression effect is poor.

[0006] The purpose of the application can be achieved by the following technical solutions: The bottom noise intelligent optimization wireless communication method based on a repeater comprises the following steps: Step one, obtaining any one to-be-optimized repeater, testing the to-be-optimized repeater by using a preset test input signal, and determining the test input power associated with the test input signal in real time; Step two, obtaining the gain allowed interval associated with the to-be-optimized repeater, traversing each gain in the gain allowed interval, and sequentially performing gain operation on the test input power; Synchronization record the test output power and its associated signal-to-noise ratio obtained by the corresponding gain operation, and construct a test output power sequence and a signal-to-noise ratio sequence, respectively; Step three, based on the determined test output power sequence and the signal-to-noise ratio sequence, construct a test output power change curve and a signal-to-noise ratio change curve, and based on the minimum output power constraint of the to-be-optimized repeater, intercept the effective part of the output power change curve and the signal-to-noise ratio change curve; Corresponding the determined effective part of the output power change curve and the signal-to-noise ratio change curve with the gain allowed interval, further determine the optimal gain interval associated with the corresponding test input power; Step four, determine the optimal gain interval corresponding to different test input powers, and summarize the correspondence of all test input powers and their optimal gain intervals to generate an input power-optimal gain adjustment table; Step five, real-time monitor the actual input power of the to-be-optimized repeater, and match the optimal gain interval for it to perform gain operation; Continuously monitor the output signal-to-noise ratio, and trigger the update process when it is lower than the preset signal-to-noise ratio threshold.

[0007] As a further scheme of the present application, in step one, the specific way of real-time determining the test input power associated with the test input signal is: Obtain any to-be-optimized repeater determined by an operator, denoted as A; Obtain the test input signal preset by the operator; Real-time determine the test input power associated with the test input signal, denoted as TIP; The maximum value of the test input power of the test input signal TIP is TIP_max, and the minimum value is TIP_min, wherein TIP_max and TIP_min are both values preset by the operator.

[0008] As a further scheme of the present application, in step two, the specific way of constructing the test output power sequence and the signal-to-noise ratio sequence is: S31, obtain the gain allowed interval [GN_1, GN_j] associated with the to-be-optimized repeater A; The gain allowed interval [GN_1, GN_j] has j different gain values, wherein j is a value preset by the operator; S32, obtain the test input power TIP, control the gain of the to-be-optimized repeater A to be the minimum value GN_1 in the gain allowed interval [GN_1, GN_j], and perform gain operation on the test input power TIP; S33, determine the test output signal and the test output power obtained after the gain operation, and denote the test output power as TOP_1; S34, regulating the gain to be the next gain value GN_2 in the gain allowable interval [GN_1, GN_j] of the gain minimum value GN_1, determining the test output power obtained after the gain operation, denoted as TOP_2; S35, repeating step S34, determining the test output powers respectively associated with the j different gain values in the gain allowable interval [GN_1, GN_j], and denoted as the test output power sequence TOP_1, TOP_2, …, TOP_j in the order of gain values from small to large; S36, obtaining any one of the test output powers in TOP_1, TOP_2, …, TOP_j, denoted as TOP_i; determining the signal-to-noise ratio of TOP_i, denoted as SNR_i, wherein i is a count index, 1≤i≤j; S37, repeating step S36, determining the signal-to-noise ratios respectively associated with all the test output powers in TOP_1, TOP_2, …, TOP_j, and denoted as the signal-to-noise ratio sequence SNR_1, SNR_2, …, SNR_j in the order of TOP_1, TOP_2, …, TOP_j.

[0009] As a further scheme of the present application, in step three, the specific way of constructing the test output power change curve and the signal-to-noise ratio change curve is: S41, obtaining the test output power sequence TOP_1, TOP_2, …, TOP_j and the signal-to-noise ratio sequence SNR_1, SNR_2, …, SNR_j; S42, sequentially extracting the gains respectively associated with all the corresponding test output powers and signal-to-noise ratios in TOP_1, TOP_2, …, TOP_j and SNR_1, SNR_2, …, SNR_j, and denoted as the gain sequence GN_1, GN_2, …, GN_j in order; S43, constructing a horizontal coordinate axis X containing j scales, and sequentially labeling the value of each gain in GN_1, GN_2, …, GN_j on the constructed horizontal coordinate axis X; S44, placing the horizontal coordinate axis X in a plane, constructing a ray perpendicular to the horizontal coordinate axis X and with the positive direction being upward in the plane through the origin of the horizontal coordinate axis X, and marking j scales, denoted as a vertical coordinate axis Y1; denoting the two-dimensional coordinate system composed of the horizontal coordinate axis X and the vertical coordinate axis Y1 as W1; after corresponding the test output power sequence TOP_1, TOP_2, …, TOP_j and the gain sequence GN_1, GN_2, …, GN_j, labeling in the two-dimensional coordinate system W1; j data points are obtained, and a curve fitting is performed to obtain a test output power change curve S1; S46, a vertical ray to the transverse coordinate axis X and the positive direction in the plane is constructed through the origin of the transverse coordinate axis X, denoted as a longitudinal coordinate axis Y2; The two-dimensional coordinate system composed of the transverse coordinate axis X and the longitudinal coordinate axis Y2 is denoted as W2; After corresponding the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j and the gain sequence GN_1, GN_2,..., GN_j, they are marked in the constructed two-dimensional coordinate system W2; j data points are obtained, and a curve fitting is performed to obtain a test output power change curve S1;

[0010] As a further scheme of the application, in step three, the specific way of determining the optimal gain interval associated with the corresponding test input power is: S51, the minimum output power associated with the to-be-optimized repeater A is obtained, denoted as OP_min; The two-dimensional coordinate system W1, the two-dimensional coordinate system W2, the test output power change curve S1 and the signal-to-noise ratio change curve S2 are extracted; S52, the minimum output power OP_min is marked in the test output power change curve S1; S53, a straight line L perpendicular to the transverse coordinate axis X is constructed through the point of the minimum output power OP_min on the test output power change curve S1; S54, the parts on the left side of the straight line L in S1 and S2 are removed, and the parts on the right side of the straight line L are retained, to obtain the test output power change curve after the removal operation, denoted as S`1 and the signal-to-noise ratio change curve denoted as S`2; S55, a straight line perpendicular to the transverse coordinate axis X is constructed through the first data point in S`2, denoted as a first straight line L1; S56, the first straight line L1 is copied and translated to the second data point in S`2, to obtain a second straight line L2; S57, the area of the closed region composed of L1, L2, S`2 and the transverse coordinate axis X is counted, and the numerical value of the area is denoted as the signal-to-noise ratio processing feature between L1 and L2; S58, the first straight line L1 is copied and translated to the third data point in S`2, to obtain a third straight line L3; The area of the closed region composed of L2, L3, S`2 and the transverse coordinate axis X is counted, and the numerical value of the area is denoted as the signal-to-noise ratio processing feature between L2 and L3; S59, steps S56 to S58 are repeated to determine j-1 signal-to-noise ratio processing features, and the signal-to-noise ratio processing feature with the largest value; Determine two lines associated with the signal-to-noise ratio processing feature with the maximum value, denoted as line Ln and line Ln+1, wherein n is a count index, 1≤n≤j-2; S510, obtain gain GN_n and gain GN_n+1 of line Ln and line Ln+1 on the transverse coordinate axis X; Combine gain GN_n and gain GN_n+1 as the optimal gain interval [GN_n, GN_n+1] associated with the test input power TIP.

[0011] As a further scheme of the present application, in step four, the specific way of generating the input power-optimal gain adjustment table is: Determine the optimal gain interval associated with different test input powers by regulating the test input signal to be different test input powers; Combine the optimal gain interval matched with different test input powers, and summarize to obtain the input power-optimal gain adjustment table.

[0012] As a further scheme of the present application, in step five, the specific way of real-time monitoring the actual input power of the to-be-optimized repeater A and matching the optimal gain interval for it to perform gain operation is: After determining the input power-optimal gain adjustment table associated with the to-be-optimized repeater A, real-time monitor the actual input power received by the to-be-optimized repeater A; Search for the optimal gain interval associated with the actual input power in the input power-optimal gain adjustment table; Take the minimum gain in the optimal gain interval as the actual gain of the actual input power, perform gain operation to obtain the actual output power.

[0013] As a further scheme of the present application, in step five, the specific way of triggering the update process is: Real-time monitor the actual output power of the to-be-optimized repeater A, and determine the signal-to-noise ratio of the actual output power; Obtain the signal-to-noise ratio threshold preset by the operator; If the signal-to-noise ratio of the actual output power is lower than the signal-to-noise ratio threshold, trigger the update process to update the input power-optimal gain adjustment table; If the signal-to-noise ratio of the actual output power is not lower than the signal-to-noise ratio threshold, continue the actual output power.

[0014] The present application has the following advantages: The application ensures the consistency and reliability of the test basis by automatically obtaining key input parameters, avoids human errors, and pre-avoids the risk of signal compression and gain failure, secondly, a comprehensive performance data set is dynamically constructed: within the preset gain interval, the gain value is accurately controlled in sequence, and the corresponding output power and the signal-to-noise ratio of the corresponding output power are measured and recorded synchronously and are structured, which provides data basis for subsequent intelligent optimization decision, can effectively identify and improve the signal-to-noise ratio performance of the repeater, and finally realize the suppression of the communication link bottom noise. The application converts complex power and signal-to-noise ratio data into intuitive visual curves, and performs correlation analysis in the same plane coordinate system, greatly improves the distinguishability of parameter correlation, and clearly defines the correlation between different data; secondly, by eliminating the data area below the minimum output power, it ensures that optimization focuses only on the effective part, avoiding invalid calculation; in addition, the application introduces a dynamic area algorithm, slides a vertical line along the signal-to-noise ratio curve S`2, and calculates the area of the closed region surrounded by the curve, the horizontal axis and the adjacent straight lines, that is, the signal-to-noise ratio processing feature, accurately locates the gain interval corresponding to the maximum area, quantifies the cumulative improvement strength of the signal-to-noise ratio with the gain change, and automatically, objectively and efficiently identifies the gain working interval with the optimal and stable signal-to-noise ratio performance, improving the accuracy, automation and engineering practicability of the gain parameter optimization of the repeater. The application constructs an input power-optimal gain adjustment table associated with the repeater to be optimized, monitors the actual input power in real time and automatically matches the optimal gain interval by table lookup, and preferentially selects the minimum gain value in the interval for regulation, which not only ensures that the output power meets the standard but also avoids excessive amplification of noise, significantly improving the signal-to-noise ratio stability; secondly, a closed-loop updating mechanism is introduced, which continuously monitors the signal-to-noise ratio of the actual output signal and compares it with the preset threshold in real time, and once the performance degradation is detected, the adjustment table updating process is triggered; this closed-loop design can dynamically adapt to environmental changes and continuously maintain the best bottom noise suppression effect, improving the reliability of long-term operation of the repeater and the adaptive ability of communication quality. BRIEF DESCRIPTION OF DRAWINGS

[0015] The application will be further described below with reference to the accompanying drawings.

[0016] Figure 1 is a flowchart of the method described in the application; Figure 2 is a flowchart of the method described in Example 2 of the application; Figure 3 is a flowchart of the method described in Example 3 of the application. DETAILED DESCRIPTION

[0017] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by those skilled in the art without creative efforts belong to the scope of the present application.

[0018] Embodiment 1 The method for intelligently optimizing the noise floor of a repeater-based wireless communication system, as shown in the figure, comprises the following steps: Figure 1 First, before the actual implementation of the method, any to-be-optimized repeater needs to be obtained, and a preset test input signal is used to test the to-be-optimized repeater to determine the test input power associated with the test input signal in real time. Specifically, the to-be-optimized repeater is the target repeater determined by the operator, which is marked as A for subsequent differentiation.

[0019] The preset test input signal is a test input signal preset by the operator, and the test input signal can be adjusted to different test input powers, that is, the test input signal can meet the test process under different test input power conditions.

[0020] The test input power is completely based on the test input signal, which can be measured in real time by a spectrum analyzer. The test input power is marked as TIP. The test input power reflects the strength of the test signal (the greater the strength, the wider the propagation distance, and vice versa).

[0021] The maximum value of the test input power associated with the test input signal is TIP_max, and the minimum value is TIP_min. Both TIP_max and TIP_min are preset values by the operator, and PR_min represents the lowest test input power associated with the test input signal that can maintain the rated gain of the to-be-optimized repeater, and TIP_max represents the highest test input power associated with the test input signal that does not trigger ALC compression. If the test input power is not between TIP_max and TIP_min, the test input power will cause the relevant data obtained after gain operation to be distorted, and finally the calculation result or analysis result is different from reality.

[0022] Next, the gain allowed interval associated with the to-be-optimized repeater A is obtained, each gain in the gain allowed interval is traversed, and gain operation is performed on the test input power in sequence. ​The test output power and the signal-to-noise ratio associated therewith obtained by the corresponding gain operation are recorded synchronously, and a test output power sequence and a signal-to-noise ratio sequence are constructed respectively. Specifically, the gain allowable interval associated with the to-be-optimized repeater A is determined by the to-be-optimized repeater A itself, and the gain allowable interval represents the performance of the to-be-optimized repeater A. If the gain allowable interval is large, it indicates that the performance of the to-be-optimized repeater A is good, and the to-be-optimized repeater A can provide more gain and can transmit more input signals of different input powers.

[0023] The purpose of sequentially performing gain operation on the test input power by traversing each gain in the gain allowable interval is to determine the gain effect (test output power and the signal-to-noise ratio associated therewith) of a certain gain interval on the corresponding test input power TIP after gain operation within the gain allowable interval of the to-be-optimized repeater A.

[0024] Based on the determined test output power sequence and signal-to-noise ratio sequence, a test output power change curve and a signal-to-noise ratio change curve are constructed, and based on the minimum output power constraint of the to-be-optimized repeater, the effective parts of the output power change curve and the signal-to-noise ratio change curve are intercepted.

[0025] The effective parts of the determined output power change curve and the signal-to-noise ratio change curve are corresponded with the gain allowable interval, and the optimal gain interval associated with the corresponding test input power is further determined. Specifically, by arranging and drawing a series of output power data points and signal-to-noise ratio data points obtained in the test process, two key curves are formed, which can intuitively reflect the change trend of the output power and the signal-to-noise ratio of the repeater under different conditions.

[0026] Then, according to the minimum output power constraint of the to-be-optimized repeater, the effective parts of the constructed output power change curve and the signal-to-noise ratio change curve are intercepted. The minimum output power constraint means that the output power of the repeater cannot be lower than a certain set value during the optimization process, so as to ensure its basic communication function and coverage ability. Therefore, the effective data part meeting the constraint condition is selected from the curve, and the data points lower than the minimum output power are excluded, so as to focus on the performance of the repeater in stable operation.

[0027] The determined effective part of the output power change curve and the signal-to-noise ratio change curve are corresponded with the gain allowable interval, and the performance of the to-be-optimized repeater in different gain conditions is further analyzed.

[0028] Finally, under a specific test input power, by analyzing the output power change curve and the signal-to-noise ratio change curve, and combining the gain allowable interval, the optimal gain interval under the input power is determined, and the optimal gain interval refers to the range in which the output power and the signal-to-noise ratio of the repeater reach the best performance, while meeting the stability and efficiency requirements of the system.

[0029] The optimal gain intervals corresponding to different test input powers are continuously determined, the corresponding relationship between all test input powers and the optimal gain intervals is summarized, and an input power-optimal gain adjustment table is generated. Specifically, for each test input power, by analyzing the output power change curve and the signal-to-noise ratio change curve, and combining the gain allowable interval, the optimal gain interval under the corresponding input power is determined, all test input powers and the corresponding optimal gain intervals are summarized to form a data set, and an input power-optimal gain adjustment table is generated based on the data set. The input power-optimal gain adjustment table clearly shows the corresponding optimal gain intervals under different input powers, so as to quickly find and adjust the gain setting of the repeater in actual application.

[0030] The actual input power of the repeater to be optimized is monitored in real time, and the optimal gain interval is matched for the actual input power, and the gain operation is performed. The output signal-to-noise ratio is continuously monitored, and when the output signal-to-noise ratio is lower than the preset signal-to-noise ratio threshold, an update process is triggered. Specifically, the update process includes re-evaluating the actual input power, re-matching the optimal gain interval, and re-adjusting the gain setting.

[0031] Embodiment 2 This embodiment discloses a method for constructing a test output power sequence and a signal-to-noise ratio sequence, and determining a test output power change curve and a signal-to-noise ratio change curve based on the test output power sequence and the signal-to-noise ratio sequence, as shown in Figure 2 As shown in the following: As described in Embodiment 1, it can be known that the test output power change curve and the signal-to-noise ratio change curve are based on the test output power sequence and the signal-to-noise ratio sequence. Hereinafter, a method for constructing a test output power sequence and a signal-to-noise ratio sequence is given: First, the gain allowable interval associated with the repeater to be optimized A is obtained, and the obtained gain allowable interval is denoted as [GN_1, GN_j], wherein GN_1 represents the minimum gain value in the gain allowable interval of the repeater to be optimized A, and GN_j represents the maximum gain value in the gain allowable interval of the repeater to be optimized A. The minimum gain value GN_1 to the maximum gain value GN_j has j gains, wherein j is a value determined by an operator.

[0032] The test input power TIP is obtained again, the gain minimum value GN_1 in the gain allowable interval of the to-be-optimized repeater A is obtained, and the gain minimum value GN_1 is taken as the gain of the to-be-optimized repeater A to the test input power TIP, and the gain operation is performed.

[0033] When the gain operation is performed, the test output signal and the test output power obtained after the test input signal is subjected to the gain operation are obtained, the test output power associated with the test input power TIP is marked as TOP_1, and subsequent differentiation is facilitated.

[0034] As described above, the test input power TIP is subjected to the gain operation with the gain minimum value in the gain allowable interval [GN_1, GN_j], and the test output power TOP_1 is obtained. Then, the gain is regulated to the next gain GN_2 in the gain allowable interval [GN_1, GN_j] of the gain minimum value GN_1, and the test output power after the test input power TIP is subjected to the gain operation with the gain value GN_2 is determined and is marked as TOP_2.

[0035] The above steps are repeatedly continued, the gain is regulated to each gain value in the gain allowable interval [GN_1, GN_j], and the test output power associated with each gain value is determined, the test output powers associated with the j gain values are totaled, the j test output powers are sorted in ascending order of the gain, and the sorted result is marked as the test output power sequence and is represented as: TOP_1, TOP_2,..., TOP_j.

[0036] Any test output power in the test output power sequence TOP_1, TOP_2,..., TOP_j is obtained again and is marked as TOP_i, the signal-to-noise ratio associated with the test output power TOP_i is calculated by using the signal-to-noise ratio calculation formula (prior art), and is marked as SNR_i, wherein i is a count index, the value range of i is 1 to j, and i represents the test output power TOP_i.

[0037] The signal-to-noise ratios associated with the j test output powers in the test output power sequence TOP_1, TOP_2,..., TOP_j are calculated by using the signal-to-noise ratio calculation formula, the j signal-to-noise ratios finally obtained are extracted, the signal-to-noise ratios are sorted in the order of the test output power sequence TOP_1, TOP_2,..., TOP_j, and the sorted result is marked as the signal-to-noise ratio sequence and is represented as: SNR_1, SNR_2,..., SNR_j.

[0038] At this point, the test output power sequence TOP_1, TOP_2,..., TOP_j and the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j corresponding to the test output power sequence TOP_1, TOP_2,..., TOP_j are determined.

[0039] Then, based on the test output power sequence TOP_1, TOP_2,..., TOP_j and the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j, a test output power change curve and a signal-to-noise ratio change curve are constructed, and the specific steps are as follows: As known from the above, the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j is obtained based on the test output power sequence TOP_1, TOP_2,..., TOP_j using the signal-to-noise ratio calculation formula, and each test output power in the test output power sequence TOP_1, TOP_2,..., TOP_j is obtained based on the same test input power through gain operation with different gain values; The gain values associated with each test output power in the test output power sequence TOP_1, TOP_2,..., TOP_j are extracted to obtain j gains, which also correspond to the j gains within the gain allowed interval [GN_1, GN_j] associated with the optimized repeater A. The j gains are sorted in ascending order to obtain a gain sequence, denoted as: GN_1, GN_2,..., GN_j.

[0040] The gain sequence GN_1, GN_2,..., GN_j corresponds one-to-one to the test output power sequence TOP_1, TOP_2,..., TOP_j and the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j, that is, GN_i, TOP_i, and SNR_i are associated with each other.

[0041] Then, a horizontal coordinate axis is constructed and denoted as X. The horizontal coordinate axis X has j scales, each scale corresponding to a gain value. The determined gain sequence GN_1, GN_2,..., GN_j is obtained, and each value in the gain sequence GN_1, GN_2,..., GN_j is sequentially labeled on the constructed horizontal coordinate axis X, wherein GN_1 is labeled on the first scale of the horizontal coordinate axis X, and the rest GN_2 to GN_j are labeled in the same way.

[0042] The horizontal coordinate axis X is placed in any plane (all subsequent operations are performed on this plane), a ray perpendicular to the horizontal coordinate axis X is constructed through the origin of the horizontal coordinate axis X, and the positive direction is upward in the determined plane, and j scales are labeled on the constructed ray to obtain a vertical coordinate axis Y1. At this time, the transverse coordinate axis X and the longitudinal coordinate axis Y1 form a two-dimensional coordinate system, which is marked as W1. After corresponding the test output power sequence TOP_1, TOP_2,..., TOP_j and the gain sequence GN_1, GN_2,..., GN_j, the test output power sequence TOP_1, TOP_2,..., TOP_j is sequentially marked in the form of data points in the constructed two-dimensional coordinate system W1, and j data points representing j test output powers in the test output power sequence TOP_1, TOP_2,..., TOP_j are obtained. A curve is obtained by curve fitting of the j data points, which is marked as a test output power change curve S1.

[0043] A ray perpendicular to the transverse coordinate axis X and with a positive direction downward in the determined plane is constructed through the origin of the transverse coordinate axis X, and j scales are marked on the constructed ray to obtain a longitudinal coordinate axis Y2. At this time, the transverse coordinate axis X and the longitudinal coordinate axis Y2 form a two-dimensional coordinate system, which is marked as W2. After corresponding the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j and the gain sequence GN_1, GN_2,..., GN_j, the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j is sequentially marked in the form of data points in the constructed two-dimensional coordinate system W2, and j data points representing j signal-to-noise ratios in the signal-to-noise ratio sequence SNR_1, SNR_2,..., SNR_j are obtained. A curve is obtained by curve fitting of the j data points, which is marked as a signal-to-noise ratio change curve S2, and the test output power change curve S1 and the signal-to-noise ratio change curve S2 are in the same plane.

[0044] Embodiment 3 This embodiment further discloses a method for determining an optimal gain interval associated with a corresponding test input power and constructing an input power-optimal gain adjustment table based on the embodiments 1 and 2, as shown in the following. Figure 3 As shown in the following, the method specifically comprises the following steps: As described in the embodiments 1 and 2, the test output power change curve S1 and the signal-to-noise ratio change curve S2 are determined. The final purpose of this embodiment is to determine an optimal gain interval associated with a corresponding test input power and construct an input power-optimal gain adjustment table. The determination of the optimal gain interval associated with the corresponding test input power needs to be based on the test output power change curve S1 and the signal-to-noise ratio change curve S2, and the specific steps are shown as follows: Firstly, the lowest output power associated with the to-be-optimized repeater A is acquired (if the output power is lower than the value, the transmission of the signal cannot be satisfied), and the acquired lowest output power is marked as OP_min; Next, the two-dimensional coordinate system W1 and the two-dimensional coordinate system W2 and the test output power change curve S1 and the signal-to-noise ratio change curve S2 located in the two-dimensional coordinate system W1 and the two-dimensional coordinate system W2 are acquired.

[0045] In the test output power change curve S1, the lowest output power OP_min is marked with a data point, and a straight line perpendicular to the horizontal coordinate axis X is constructed through the data point of the determined lowest output power OP_min on the test output power change curve S1, and is marked as L; The straight line L passes through the test output power change curve S1 and the signal-to-noise ratio change curve S2, and the test output power change curve S1 and the signal-to-noise ratio change curve S2 are respectively divided into two parts; The part of the test output power change curve S1 and the part of the signal-to-noise ratio change curve S2 located on the left side of the straight line L are executed to perform the rejection operation (indicating that it does not meet the lowest output power OP_min).

[0046] The test output power change curve after the rejection operation is marked as S`1, and the signal-to-noise ratio change curve after the rejection operation is marked as S`2.

[0047] A straight line perpendicular to the horizontal coordinate axis X is constructed through the first data point in the signal-to-noise ratio change curve S`2 (corresponding to the gain on the horizontal coordinate axis) (the straight line simultaneously penetrates the test output power change curve S`1 and the signal-to-noise ratio change curve S`2), and the straight line is marked as the first straight line L1.

[0048] Next, the first straight line L1 is copied to obtain a new straight line, and the new straight line is translated to pass through the second data point in the signal-to-noise ratio change curve S`2 (corresponding to the gain on the horizontal coordinate axis), and the translated straight line is marked as the second straight line L2; At this time, the first straight line L1, the first straight line L2, the signal-to-noise ratio change curve S`2 and the horizontal coordinate axis X will form a closed area, the area of the closed area is calculated, and the numerical value of the area of the closed area is marked as the signal-to-noise ratio processing characteristic between the first straight line L1 and the first straight line L2.

[0049] The first straight line L1 is copied again, the new straight line obtained after copying is translated to pass through the third data point in the signal-to-noise ratio change curve S`2 (corresponding to the gain on the horizontal coordinate axis), and the translated straight line is marked as the third straight line L3; At this time, the second straight line L2, the third straight line L3, the signal-to-noise ratio change curve S`2 and the transverse coordinate axis X will form a closed area, the area of the closed area is calculated, and the value of the area of the closed area is recorded as the signal-to-noise ratio processing characteristic between the second straight line L2 and the third straight line L3.

[0050] Repeat the above steps to construct all fourth straight lines to the jth straight line, and determine the signal-to-noise ratio processing characteristic between any two straight lines, a total of j-1 signal-to-noise ratio processing characteristics, and then obtain the signal-to-noise ratio processing characteristic with the maximum value in the j-1 signal-to-noise ratio processing characteristics, and further determine the two straight lines associated with the signal-to-noise ratio processing characteristic with the maximum value, and record them as straight line Ln and straight line Ln+1 respectively, wherein n is a count index, and the value range is 1 to j-2.

[0051] Further, the gains corresponding to the straight line Ln and the straight line Ln+1 on the transverse coordinate axis X are obtained, and are recorded as gain GN_n and gain GN_n+1 respectively; The gain GN_n and the gain GN_n+1 are combined, and the combined result is used as the optimal gain interval associated with the test input power TIP, which is represented as: [GN_n, GN_n+1].

[0052] As described above, the optimal gain interval associated with the test input power TIP is determined; Further, the test input signal is adjusted to different test input powers (adjusted by the operator according to the actual situation), and the optimal gain interval associated with the different test input powers is determined according to the above method, and the optimal gain interval associated with the different test input powers is combined with the corresponding test input power; The obtained several combined test input powers and optimal gain intervals are summarized to obtain an input power-optimal gain adjustment table.

[0053] Embodiment 4 The embodiment discloses a method for matching the optimal gain interval for the actual input signal and determining whether the update process is needed for monitoring the actual output signal, which specifically comprises the following steps: As described in embodiment 3, the input power-optimal gain adjustment table associated with the to-be-optimized repeater A is known, the input power-optimal gain adjustment table is for a specific input power range, there is a recommended gain interval, and the interval aims to maximize the output signal-to-noise ratio to meet a specific performance target, while avoiding repeater saturation, excessive intermodulation distortion or introducing too much noise floor, and the specific steps are as follows: The actual input power received by the to-be-optimized repeater A is continuously and highly accurately sampled in real time by a radio frequency monitoring unit or an external coupler built in the to-be-optimized repeater A, wherein the sampling frequency needs to be high enough to capture the dynamic changes of the signal.

[0054] Based on the real-time monitored actual input power, look up in the input power-optimal gain adjustment table to determine the optimal gain interval associated with the actual input power; Take a conservative strategy, select the minimum value of the optimal gain interval as the actual application gain value, the reasons are as follows: priority to ensure stability, to avoid the risk of saturation or distortion caused by the application of high gain due to instantaneous input power fluctuation or measurement error; second, under the premise of meeting the performance target, lower gain usually helps to reduce the intermodulation and noise lifting.

[0055] After performing the gain operation, the actual output power is generated at the output end of the to-be-optimized repeater A, and the actual output power and the signal-to-noise ratio of the actual output power of the repeater output are monitored in real time.

[0056] The signal-to-noise ratio of the actual output power obtained by real-time monitoring is continuously compared with the signal-to-noise ratio threshold preset by the operator; If the signal-to-noise ratio of the actual output power is lower than the signal-to-noise ratio threshold preset by the operator, it indicates that the gain effect is poor, and the update process is triggered to update the input power-optimal gain adjustment table associated with the to-be-optimized repeater; If the signal-to-noise ratio of the actual output power is not lower than the signal-to-noise ratio threshold preset by the operator, it indicates that the gain effect is good, and the actual output power of the to-be-optimized repeater is continuously monitored.

[0057] Part of the data in the formula described above is dimensionless numerical calculation, and the contents not described in detail in the specification all belong to the prior art known to those skilled in the art.

[0058] The above content is only an example and description of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the invention or exceed the scope defined by the present claims, and should belong to the protection scope of the present application.

[0059] It needs to be declared that all user data collected in this application are collected with the consent and authorization of the user. The purpose of the user data is legal and compliant, and the use and processing of the user data comply with the relevant laws, regulations and standards of the relevant region.

Claims

1. A method for intelligent optimization of noise floor based on a repeater, characterized in that, The method comprises the following steps: Step one, acquiring any one to be optimized direct station, testing the to be optimized direct station by using a preset test input signal, and determining a test input power associated with the test input signal in real time; Step two, acquiring a gain allowable interval associated with the to be optimized direct station, traversing each gain in the gain allowable interval, and sequentially performing gain operation on the test input power; Synchronously recording a test output power obtained by the corresponding gain operation and a signal-to-noise ratio associated with the test output power, and constructing a test output power sequence and a signal-to-noise ratio sequence respectively; Step three, constructing a test output power change curve and a signal-to-noise ratio change curve based on the determined test output power sequence and signal-to-noise ratio sequence, intercepting an effective part in the output power change curve and the signal-to-noise ratio change curve based on a lowest output power constraint of the to be optimized direct station; Corresponding the determined effective part in the output power change curve and the signal-to-noise ratio change curve with the gain allowable interval, and further determining an optimal gain interval associated with the corresponding test input power; Step four, determining the optimal gain interval corresponding to different test input powers, collecting a corresponding relationship between all test input powers and optimal gain intervals, and generating an input power-optimal gain adjustment table; Step five, monitoring an actual input power of the to be optimized direct station in real time, matching the optimal gain interval for the to be optimized direct station, and performing gain operation; Continuously monitoring an output signal-to-noise ratio, and triggering an update process when the output signal-to-noise ratio is lower than a preset signal-to-noise ratio threshold.

2. The repeater-based method of intelligent optimization of noise floor for wireless communications of claim 1, wherein, In the step one, the specific manner of determining the test input power associated with the test input signal in real time is as follows: Acquiring any one to be optimized direct station determined by an operator, denoted as A; Acquiring a test input signal preset by the operator; Determining a test input power associated with the test input signal in real time, denoted as TIP; The maximum value of the test input power of the test input signal TIP is TIP_max, and the minimum value is TIP_min, wherein TIP_max and TIP_min are both values preset by the operator. 3.The repeater-based method for intelligent optimization of noise floor of wireless communication of claim 1, wherein, In the step two, the specific manner of constructing the test output power sequence and the signal-to-noise ratio sequence is as follows: S31, acquiring a gain allowable interval [GN_1, GN_j] associated with the to be optimized direct station A; There are j different gain values in the gain allowable interval [GN_1, GN_j], wherein j is a value preset by the operator; S32, acquiring the test input power TIP, adjusting the gain of the to be optimized direct station A to the minimum value GN_1 in the gain allowable interval [GN_1, GN_j], and performing gain operation on the test input power TIP; S33, determining a test output signal and a test output power obtained after the gain operation, and denoting the test output power as TOP_1; S34, adjusting the gain to the next gain value GN_2 of the gain minimum value GN_1 in the gain allowable interval [GN_1, GN_j], and determining a test output power obtained after the gain operation, denoted as TOP_2; S35, repeat step S34 to determine the test output power associated with each of the j different gain values in the gain allowable interval [GN_1, GN_j], and record the test output powers in ascending order of gain value as a test output power sequence TOP_1, TOP_2, …, TOP_j; S36, obtain any one of the test output powers in the test output power sequence TOP_1, TOP_2, …, TOP_j, and record it as TOP_i; Determine the signal-to-noise ratio of TOP_i, and record it as SNR_i, where i is a count index, 1≤i≤j; S37, repeat step S36 to determine the signal-to-noise ratio associated with each of the test output powers in the test output power sequence TOP_1, TOP_2, …, TOP_j, and record the signal-to-noise ratios in ascending order of TOP_1, TOP_2, …, TOP_j as a signal-to-noise ratio sequence SNR_1, SNR_2, …, SNR_j.

4. The repeater-based method of intelligent optimization of noise floor for wireless communications of claim 3, wherein, In step three, the specific way of constructing the test output power change curve and the signal-to-noise ratio change curve is: S41, obtain the test output power sequence TOP_1, TOP_2, …, TOP_j and the signal-to-noise ratio sequence SNR_1, SNR_2, …, SNR_j; S42, sequentially extract the gain associated with each of the test output powers and signal-to-noise ratios in the test output power sequence TOP_1, TOP_2, …, TOP_j and the signal-to-noise ratio sequence SNR_1, SNR_2, …, SNR_j, and record them in order as a gain sequence GN_1, GN_2, …, GN_j; S43, construct a horizontal coordinate axis X containing j scales, and sequentially label the value of each gain in the gain sequence GN_1, GN_2, …, GN_j on the constructed horizontal coordinate axis X; S44, place the horizontal coordinate axis X in a plane, and construct a ray perpendicular to the horizontal coordinate axis X through the origin of the horizontal coordinate axis X, and mark j scales, denoted as a vertical coordinate axis Y1, with the positive direction being upward in the plane; The two-dimensional coordinate system composed of the horizontal coordinate axis X and the vertical coordinate axis Y1 is denoted as W1; After corresponding the test output power sequence TOP_1, TOP_2, …, TOP_j and the gain sequence GN_1, GN_2, …, GN_j, label them in the two-dimensional coordinate system W1; Obtain j data points, and fit them with a curve to obtain a test output power change curve S1; S46, construct a ray perpendicular to the horizontal coordinate axis X through the origin of the horizontal coordinate axis X, denoted as a vertical coordinate axis Y2, with the positive direction being downward in the plane; The two-dimensional coordinate system composed of the horizontal coordinate axis X and the vertical coordinate axis Y2 is denoted as W2; After corresponding the signal-to-noise ratio sequence SNR_1, SNR_2, …, SNR_j and the gain sequence GN_1, GN_2, …, GN_j, label them in the constructed two-dimensional coordinate system W2; Obtain j data points, and fit them with a curve to obtain a signal-to-noise ratio change curve S2.

5. The repeater-based method of intelligent optimization of noise floor for wireless communications of claim 4, wherein, In step three, the specific way of determining the optimal gain interval associated with the corresponding test input power is: S51, obtain the minimum output power of the repeater A to be optimized, denoted as OP_min; extract the two-dimensional coordinate system W1, the two-dimensional coordinate system W2, the test output power change curve S1 and the signal-to-noise ratio change curve S2; S52, mark the minimum output power OP_min in the test output power change curve S1; S53, construct a straight line L perpendicular to the horizontal coordinate axis X through the point of the minimum output power OP_min on the test output power change curve S1; S54, remove the part on the left side of the straight line L in S1 and S2, and retain the part on the right side of the straight line L, to obtain the test output power change curve after the removal operation, denoted as S`1, and the signal-to-noise ratio change curve denoted as S`2; S55, construct a straight line perpendicular to the horizontal coordinate axis X through the first data point in S`2, denoted as the first straight line L1; S56, copy the first straight line L1 and translate it to the second data point in S`2 to obtain the second straight line L2; S57, count the area of the closed region composed of L1, L2, S`2 and the horizontal coordinate axis X, and denote the value of the area as the signal-to-noise ratio processing feature between L1 and L2; S58, copy the first straight line L1 and translate it to the third data point in S`2 to obtain the third straight line L3; count the area of the closed region composed of L2, L3, S`2 and the horizontal coordinate axis X, and denote the value of the area as the signal-to-noise ratio processing feature between L2 and L3; S59, repeat steps S56 to S58 to determine j-1 signal-to-noise ratio processing features, and the signal-to-noise ratio processing feature with the largest value; determine the two straight lines associated with the signal-to-noise ratio processing feature with the largest value, denoted as straight line Ln and straight line Ln+1, where n is a count index, 1≤n≤j-2; S510, obtain the gain GN_n and the gain GN_n+1 of the straight line Ln and the straight line Ln+1 on the horizontal coordinate axis X; combine the gain GN_n and the gain GN_n+1 as the optimal gain interval [GN_n, GN_n+1] associated with the test input power TIP.

6. The repeater-based intelligent optimization of floor noise wireless communication method of claim 1, wherein, In step four, the specific way of generating the input power-optimal gain adjustment table is: determine the optimal gain interval associated with different test input powers by adjusting the test input signal to different test input powers; combine different test input powers and the optimal gain interval matched therewith, and summarize to obtain the input power-optimal gain adjustment table.

7. The repeater-based method of intelligent optimization of bottom noise for wireless communications of claim 6, wherein, In step five, the specific way of real-time monitoring the actual input power of the repeater A to be optimized and matching the optimal gain interval for it to perform gain operation is: after determining the input power-optimal gain adjustment table associated with the repeater A to be optimized, real-time monitor the actual input power received by the repeater A to be optimized; retrieve the optimal gain interval associated with the actual input power in the input power-optimal gain adjustment table; take the minimum gain in the optimal gain interval as the actual gain of the actual input power, perform gain operation, and obtain the actual output power.

8. The repeater-based method of intelligent optimization of bottom noise for wireless communications of claim 7, wherein, In step five, the specific way of triggering the update process is: real-time monitor the actual output power of the repeater A to be optimized, and determine the signal-to-noise ratio of the actual output power; Acquiring a signal-to-noise ratio threshold preset by an operator; If the signal-to-noise ratio of the actual output power is lower than the signal-to-noise ratio threshold, triggering an updating process to update the input power-optimal gain adjustment table; If the signal-to-noise ratio of the actual output power is not lower than the signal-to-noise ratio threshold, continuing the actual output power.

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