A wireless communication signal strength screening method based on phototaxis characteristics

Abstract

The application discloses a wireless communication signal strength screening method based on phototaxis characteristics, comprising the following steps: collecting light signals by using a light signal receiving matrix arranged on an antenna to obtain a to-be-processed signal; the light signal receiving matrix comprises a plurality of light signal receiving units, and the coverage angles of the plurality of light signal receiving units are different; determining angle information corresponding to a target direction based on the signal strength of the to-be-processed signal; and adjusting the direction of the antenna based on the angle information. The method provided by the application is based on a wireless communication signal tracking mechanism based on phototaxis characteristics, and the grouping type receiving matrix is used as a photosensitive unit, and the signal strength is used as the light intensity, so that the real-time tracking and dynamic adjustment of the optimal signal direction are realized, and the accuracy and stability of the antenna adjustment are ensured.

Description

Technical Field

[0001] This invention belongs to the field of signal processing, specifically relating to a method for screening wireless communication signal strength based on phototactic characteristics. Background Technology

[0002] In the field of wireless communication along power grid transmission line corridors such as desert and wasteland areas, the antenna, as the signal receiving and transmitting component of wireless communication terminal equipment for power transmission lines, directly determines the stability and real-time performance of transmission line communication due to the rationality of its receiving direction, thereby affecting the safe operation and maintenance and fault handling efficiency of power grid transmission lines. The desert and wasteland areas have complex terrain, large spans of transmission lines, and dispersed deployments, facing harsh environments such as high temperatures, strong winds and sandstorms, and large temperature differences between day and night. Furthermore, they are affected by factors such as the electromagnetic radiation of the transmission lines themselves and the obstruction of line towers, resulting in numerous unique challenges for wireless communication in this scenario. Specifically, the following issues arise: In the Gobi Desert region, undulating sand dunes and ravines obstruct signal propagation paths, resulting in severe and uneven signal attenuation and creating signal blind spots in tower shadows and on the leeward side of dunes; electromagnetic interference from power transmission lines and the scattering of signals by wind and sand increase interference signals, submerging effective communication signals and significantly increasing the difficulty of signal selection; variable weather conditions in the Gobi Desert dynamically alter the signal propagation environment, and slight displacement of some monitoring equipment due to line operating conditions causes a continuous shift in the optimal signal direction, making it impossible for traditional antennas to adapt in a timely manner; the wide span of power transmission line corridors and the dispersed distribution of communication equipment lead to overlapping coverage areas of adjacent equipment antennas, which, combined with the complex terrain, further exacerbates mutual interference and reduces communication stability. The aforementioned problems directly lead to the inability of wireless communication equipment on transmission lines to accurately capture effective signals, resulting in issues such as data transmission lag, fault information packet loss, delays in remote control commands, and communication interruptions. These issues severely affect the efficiency of online monitoring, fault early warning, and remote operation and maintenance of transmission lines in the Shagohuang power grid. They also fail to meet the stringent requirements of wireless communication in this special scenario, including anti-interference, resistance to harsh environments, adaptability, and high stability. In particular, they are difficult to adapt to the high requirements of unattended transmission line monitoring terminals for signal reception flexibility and reliability. Summary of the Invention

[0003] To address the aforementioned problems in the prior art, this invention provides a method for screening wireless communication signal strength based on phototactic characteristics.

[0004] The technical problem to be solved by this invention is achieved through the following technical solution: In a first aspect, the present invention provides a method for screening wireless communication signal strength based on phototactic characteristics, comprising: Optical signals are acquired using an optical signal receiving matrix mounted on an antenna to obtain the signal to be processed; the optical signal receiving matrix includes multiple optical signal receiving units, and the coverage angles of the multiple optical signal receiving units are different; Determine the angle information corresponding to the target direction based on the signal strength of the signal to be processed; The direction of the antenna is adjusted based on the angle information.

[0005] In one embodiment, an optical signal is acquired using an optical signal receiving matrix mounted on an antenna to obtain a signal to be processed, including: The initial signal is obtained by acquiring the optical signal using an optical signal receiving matrix mounted on the antenna. The initial signal is sequentially subjected to amplitude adjustment, time synchronization calibration, and clutter filtering to obtain the signal to be processed.

[0006] In one embodiment, determining the angle information corresponding to the target direction based on the signal strength of the signal to be processed includes: Effective signals are filtered based on the signal strength and signal strength threshold of the signal to be processed, thereby obtaining candidate signals; wherein, the signal strength threshold is determined based on the average value and standard deviation of the signal strength of the signal to be processed within a first preset time period corresponding to the current signal to be processed; A secondary screening is performed based on the characteristic parameters of the candidate signals to obtain the final signal; wherein, the characteristic parameters include at least one of frequency, bandwidth, and modulation method; The angle information corresponding to the target direction is determined based on the signal strength of the final signal.

[0007] In one embodiment, determining the angle information corresponding to the target direction based on the signal strength of the final signal includes: The weighted signal strength corresponding to each final signal is determined based on the signal strength and the stability coefficient of the final signal; wherein, the stability coefficient of the final signal is negatively correlated with the fluctuation amplitude of the final signal; A reference signal is determined based on the weighted signal strength corresponding to each final signal. The reference signal includes final signals whose weighted signal strengths meet preset conditions and whose corresponding optical signal receiving matrix coverage angles are different. The angle information corresponding to the target direction is determined based on the weighted signal strength corresponding to the reference signal and the coverage angle of the optical signal receiving unit corresponding to the reference signal.

[0008] In one embodiment, determining the angle information corresponding to the target direction based on the weighted signal strength corresponding to the reference signal and the coverage angle of the optical signal receiving unit corresponding to the reference signal includes: The candidate direction angle is determined based on the center angle of the coverage angle of the optical signal receiving unit corresponding to each of the reference signals; The linear interpolation algorithm is used to calculate the angle information corresponding to the target direction using the weighted signal intensity corresponding to the reference signal and the candidate direction angle.

[0009] In one embodiment, after using a linear interpolation algorithm to calculate the angle information corresponding to the target direction using the weighted signal intensity corresponding to the reference signal and the candidate direction angle, the method further includes: The angle information is calibrated based on the terrain data corresponding to the antenna.

[0010] In one embodiment, the stability coefficient of the final signal is determined based on the standard deviation and average value of the intensity of the optical signal collected within a second preset time period corresponding to the final signal.

[0011] In one embodiment, before obtaining candidate signals by filtering effective signals based on the signal strength and signal strength threshold of the signal to be processed, the method further includes: The signal to be processed is denoised using a mean filtering and / or wavelet threshold denoising fusion algorithm.

[0012] Secondly, the present invention provides an antenna adjustment device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus. Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps of the above-mentioned wireless communication signal strength screening method based on phototactic characteristics.

[0013] Thirdly, the present invention provides a computer program product containing instructions that, when run on a computer, causes the computer to perform the steps of any of the above-described methods for screening wireless communication signal strength based on phototactic characteristics.

[0014] The present invention provides a wireless communication signal strength screening method based on phototaxis, comprising: acquiring optical signals using an optical signal receiving matrix mounted on an antenna to obtain a signal to be processed; the optical signal receiving matrix includes multiple optical signal receiving units, and the coverage angles of the multiple optical signal receiving units are different; determining the angle information corresponding to the target direction based on the signal strength of the signal to be processed; and adjusting the direction of the antenna based on the angle information. The method of this application, based on a wireless communication signal tracking mechanism using phototaxis, analogous to the phototaxis principle of plants, uses a grouped receiving matrix as a photosensitive unit, and uses signal strength as light intensity to achieve real-time tracking and dynamic adjustment of the optimal signal direction, ensuring the accuracy and stability of antenna adjustment.

[0015] The present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a wireless communication signal strength screening method based on phototactic characteristics provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of an embodiment of the optical signal receiving matrix of the present invention; Figure 3 This is a flowchart illustrating a wireless communication signal strength screening method based on phototactic characteristics provided in another embodiment of the present invention. Figure 4 This is a schematic diagram of the antenna adjustment device provided in an embodiment of the present invention. Detailed Implementation

[0017] The present invention will be further described in detail below with reference to specific embodiments, but the implementation of the present invention is not limited thereto.

[0018] To address the aforementioned problems, embodiments of the present invention provide a wireless communication signal strength screening method based on phototactic characteristics, specifically combined with... Figure 1 ,include: Step S1: Acquire optical signals using an optical signal receiving matrix set on the antenna to obtain the signal to be processed; the optical signal receiving matrix includes multiple optical signal receiving units, and the coverage angles of the multiple optical signal receiving units are different.

[0019] Specifically, an optical signal receiving matrix is ​​set on the antenna to collect optical signals. For example, to adapt to the signal reception requirements of different scenarios, a grouping adaptation method is designed for the optical signal receiving matrix: for instance, for scenarios with dispersed signal distribution and significant interference, multiple groups of small-area receiving matrices are used, each covering a specific angle range to improve the comprehensiveness of signal capture; for scenarios with concentrated signals and less interference, a few groups of large-area receiving matrices are used to reduce data processing and improve adjustment response speed. In one embodiment, the optical signal receiving matrix is ​​as follows: Figure 2 As shown.

[0020] In one specific embodiment, an optical signal is acquired using an optical signal receiving matrix mounted on an antenna to obtain an initial signal. The initial signal is then sequentially subjected to amplitude adjustment, time synchronization calibration, and clutter filtering to obtain the signal to be processed. Specifically, this is combined with... Figure 3 .

[0021] Specifically, the optical signal receiving matrix can integrate a preprocessing module to perform preprocessing operations such as amplitude adjustment, time synchronization calibration, and clutter filtering on the acquired optical signal, thereby eliminating data deviations and initially filtering obvious clutter, laying the foundation for subsequent noise reduction and filtering, and adapting to the instability of signal acquisition in desert areas.

[0022] In one embodiment, since there are slight gain differences among the microstrip receiving units of each optical signal receiving matrix, and temperature variations in the desert region cause gain fluctuations in the receiving units, it is necessary to adjust the amplitude of the initial signal to map the optical signals received by all receiving units in the receiving matrix to the same order of magnitude, thus eliminating gain differences and temperature effects. It should be noted that the solution in this application is based on the signal strength of the optical signal, which can be understood as the signal intensity of the optical signal. Specifically, the amplitude adjustment calculation formula is as follows: ; in, This is the signal strength value after amplitude adjustment. The original signal strength value of the optical signal collected by the receiving unit. This is the minimum signal strength value collected by the receiving unit. This is the maximum signal strength value collected by the receiving unit.

[0023] After amplitude adjustment, further time synchronization calibration is performed. Specifically, due to slight differences in the acquisition time of each receiving matrix group, direct intensity comparison would lead to deviation in optimal direction determination; therefore, time synchronization calibration is necessary. For example, using one receiving matrix group as a benchmark, the acquisition data of other groups are corrected for time offset based on the group with the most stable signal acquisition, ensuring that the signal strength data acquisition time of all groups is consistent. Specifically, the time synchronization calibration calculation formula is: ; in, For the first The acquisition time after time synchronization calibration of the group receiving matrix. The acquisition time for the baseline group. For the first Time deviation between the group and the reference group.

[0024] After time synchronization calibration, initial clutter screening is performed to obtain the signal to be processed. For transient strong clutter generated by wind and sand scattering in the desert area, preliminary filtering is performed directly to remove signals that do not conform to the frequency range of the transmission line communication signal, as well as transient clutter with too short a duration, thereby reducing the computational workload of subsequent noise reduction processing.

[0025] Step S2: Determine the angle information corresponding to the target direction based on the signal strength of the signal to be processed.

[0026] After obtaining the signal to be processed, effective signals are filtered based on the signal strength and signal strength threshold of the signal to be processed, thereby obtaining candidate signals.

[0027] In one embodiment, the signal to be processed needs to be denoised prior to this. Specifically, the signal to be processed is denoised using a mean filtering and / or wavelet thresholding denoising fusion algorithm.

[0028] Understandably, wireless communication signals in the desert region are susceptible to electromagnetic interference from power transmission lines, wind and sand scattering interference, and environmental thermal noise, resulting in drastic fluctuations in signal strength data. Directly using this data for filtering would severely impact the accuracy of optimal direction determination. Therefore, this solution employs a fusion algorithm combining mean filtering and wavelet threshold denoising, balancing noise reduction effectiveness with signal fidelity, and specifically optimizing parameters for the interference characteristics of the desert region.

[0029] When performing mean filtering for noise reduction, a sliding window mean filtering algorithm is used to remove random high-frequency noise from the signal. This process performs preliminary smoothing on the pre-processed signal strength data, optimizing the signal volatility in the desert region. The filtering window radius n is adaptively adjusted according to the degree of signal volatility, and the calculation formula is as follows: ; in, For the filtered first Signal strength value at the sampling point For the standardized first The signal strength value of each sampling point. The radius of the filtering window. This is the sampling point number.

[0030] Then, a wavelet threshold denoising algorithm is used to perform secondary denoising on the mean-filtered signal, focusing on removing low-frequency interference generated by electromagnetic interference from transmission lines and thermal noise from equipment. The db4 wavelet is selected as the base wavelet, and the decomposition level is set to 5 levels. By setting an adaptive threshold, the remaining interference components are removed, and the effective features of the signal strength data are retained. The optimized threshold calculation formula is as follows: ; in, The threshold for wavelet denoising. The standard deviation of signal and noise. The total number of sampling points is 1.2, where 1.2 represents the ability to enhance the suppression of electromagnetic interference on transmission lines.

[0031] After denoising the signal to be processed using mean filtering and / or wavelet threshold denoising fusion algorithms, the validity of the denoised signal strength data is verified, the signal-to-noise ratio (SNR) of the signal is calculated, a threshold for passing denoising is set, and signals that pass denoising are allowed to proceed to the next stage; if the SNR is lower than the threshold, the wavelet threshold is readjusted and denoising is performed again until the requirements are met, ensuring that the denoised signal can accurately reflect the actual effective signal strength.

[0032] Next, effective signals are filtered based on the signal strength and signal strength threshold of the signal to be processed, thereby obtaining candidate signals. The core of effective signal filtering is to accurately distinguish between effective communication signals and interference signals of transmission lines. This application adopts a dual filtering mechanism of adaptive threshold filtering and signal feature matching to ensure the filtering accuracy.

[0033] Specifically, a dynamic threshold algorithm is employed to adjust the strength threshold of valid signals in real time, avoiding the omission of valid signals or misjudgment of interference signals caused by a fixed threshold. In one specific embodiment, the signal strength threshold is determined based on the average value and standard deviation of the signal strength of the signals to be processed within a first preset time period corresponding to the current signal to be processed.

[0034] For example, the first preset time period is within 10 seconds, which is close to the current time of the signal to be processed, and the signal strength threshold is calculated as follows: ; in, The signal strength threshold. This represents the average signal strength of the noise-reduced signal to be processed over the past 10 seconds. The standard deviation of the signal strength of the signal to be processed after noise reduction within the last 10 seconds.

[0035] Understandably, when the signal strength of a certain signal to be processed is ≥ When the signal strength is <, it is initially determined to be a valid signal and is used as a candidate signal; when the signal strength is < At that time, it was initially determined to be an interference signal.

[0036] The candidate signals are further screened based on their characteristic parameters to obtain the final signal. These characteristic parameters include at least one of frequency, bandwidth, and modulation scheme.

[0037] In one specific embodiment, for the candidate signals corresponding to the initially selected valid signals, a secondary screening is performed based on the inherent characteristics of the transmission line wireless communication signals to eliminate interference signals disguised as valid signals. The inherent characteristic parameters include signal frequency, bandwidth, and modulation method. Only signals that simultaneously meet the strength threshold and match all characteristic parameters can be ultimately determined as valid signals, ensuring the accuracy of the screening. Candidate signals that fail the feature matching, as well as signals initially determined to be interference signals, are completely eliminated. Simultaneously, the characteristics of the interference signals are recorded and fed back to the control module, providing data support for subsequent anti-interference optimization.

[0038] The angle information corresponding to the target direction is determined based on the signal strength of the final signal.

[0039] In one embodiment, the weighted signal strength corresponding to each final signal is determined based on the signal strength and stability coefficient of the final signal; wherein the stability coefficient of the final signal is negatively correlated with the fluctuation amplitude of the final signal. A reference signal is determined based on the weighted signal strength corresponding to each final signal, the reference signal including final signals whose weighted signal strength satisfies preset conditions and whose corresponding optical signal receiving matrix coverage angles are different; angle information corresponding to the target direction is determined based on the weighted signal strength corresponding to the reference signal and the coverage angle of the optical signal receiving unit corresponding to the reference signal. Specifically, the weighted signal strength = signal strength × stability coefficient, where the stability coefficient is determined based on the standard deviation and average value of the light signal strength collected within a second preset time period corresponding to the final signal. The second preset time period is, for example, 5 seconds.

[0040] In one specific embodiment, the weighted signal strength is calculated as follows: ; in, For weighted signal strength, Let be the signal strength of the i-th final signal. The standard deviation of signal strength over the past 5 seconds. This represents the average signal strength over the past 5 seconds. Among them, The stability coefficient is used to characterize the signal. It should be noted that the smaller the fluctuation amplitude, the larger the stability coefficient (range 0.8-1.0), and the larger the fluctuation amplitude, the smaller the stability coefficient (range 0.5-0.8). That is, the stability coefficient of the final signal is negatively correlated with the fluctuation amplitude of the final signal.

[0041] Reference signals are determined based on the weighted signal strength corresponding to each final signal. The reference signals include final signals whose weighted signal strengths meet preset conditions and whose corresponding optical signal receiving matrix coverage angles are different. Specifically, the final signals are sorted from largest to smallest weighted signal strength, and the top three signals with the largest weighted signal strengths are extracted. The corresponding data come from different receiving matrix groups (ensuring coverage of different directions), providing multiple candidate directions for subsequent optimal direction determination and avoiding bias from single-direction determination.

[0042] The angle information corresponding to the target direction is determined based on the weighted signal strength corresponding to the reference signal and the coverage angle of the optical signal receiving unit corresponding to the reference signal. Specifically, the core of optimal direction determination is to accurately calculate the specific angle of the optimal signal direction based on the sorted effective signals and the coverage angle of the receiving matrix group, providing precise instructions for antenna adjustment.

[0043] In one embodiment, candidate direction angles are determined based on the center angle of the coverage angle of the optical signal receiving unit corresponding to each reference signal. Specifically, for the sampling points corresponding to the top 3 weighted signal intensities, the receiving matrix group to which they belong and the preset coverage angle range of the group are determined, and the center angle of each group is extracted as the candidate direction angle.

[0044] Furthermore, a linear interpolation algorithm is employed to calculate the angle information corresponding to the target direction using the weighted signal intensity corresponding to the reference signal and the candidate direction angle. It should be noted that the greater the weighted signal intensity, the greater the weight of the corresponding candidate direction angle; that is, the weighted signal intensity and the candidate direction angle weight are positively correlated. Specifically, the linear interpolation algorithm calculation formula is as follows: ; in, This refers to the angle information corresponding to the target direction. The weighted signal strength is the sum of the first three reference signals. These are the first three candidate directions and angles.

[0045] After obtaining the angle information corresponding to the target direction, the direction of the antenna is adjusted based on the angle information.

[0046] In one embodiment, after obtaining the angle information corresponding to the target direction, the angle information can be calibrated based on the terrain data corresponding to the antenna.

[0047] Step S3: Adjust the direction of the antenna based on the angle information.

[0048] Specifically, the calculated optimal direction angle is calibrated to correct for deviations. Based on the transmission line corridor terrain data stored in the control module, angle deviations caused by terrain obstruction are corrected to ensure the accuracy of the optimal direction angle and meet the requirements for precise antenna adjustment. The calibrated optimal signal direction angle is then converted into an antenna adjustment command and transmitted in real time to the phototropic drive adjustment module, driving the antenna to adjust towards the optimal signal direction.

[0049] The wireless communication signal strength screening method based on phototaxis in this application utilizes the driving mechanism of phototaxis growth in plants and is designed for the strong winds and high temperatures in the Gobi Desert region. By adjusting the horizontal rotation and vertical elevation of the antenna in real time, and using an angle sensor to achieve closed-loop control, the accuracy and stability of the antenna adjustment are ensured.

[0050] It should be noted that, to achieve continuous locking of the optimal signal direction in the power transmission line corridor of the Gobi Desert power grid, the system adopts a closed-loop optimization mechanism and supports scene adaptive adjustment. Specifically, the receiving matrix continuously collects signal strength data, and the signal filtering module periodically completes a full signal strength filtering and optimal direction determination. If it is determined that the signal strength corresponding to the current antenna direction is not optimal, a new adjustment command is immediately output to drive the adjustment module to perform dynamic fine-tuning, ensuring that the antenna always faces the direction with the optimal signal strength, adapting to the dynamic changes in signal direction in the Gobi Desert region. The signal strength filtering parameters and receiving matrix grouping parameters can be flexibly adjusted according to different sections of the Gobi Desert power grid transmission line corridor: for example, in areas with severe signal obstruction and high interference, the number of receiving matrix groups is increased, and the coverage angle of each group is reduced to improve signal filtering accuracy, reduce adjustment frequency, and avoid mechanical wear caused by frequent adjustments; in areas with relatively uniform signal distribution and less interference, the number of receiving matrix groups is reduced, and the coverage angle of each group is expanded to reduce computational load and improve adjustment response speed. In regions with strong electromagnetic interference, the feature matching parameters for signal filtering are optimized, the wavelet noise reduction threshold is increased, and the anti-electromagnetic interference capability is enhanced. At the same time, the feed parameters of the receiving matrix are adjusted to optimize the main lobe-to-side lobe ratio and reduce interference from adjacent tower equipment.

[0051] This application presents a wireless communication signal strength screening method based on phototaxis, employing a wireless communication signal tracking mechanism analogous to the phototaxis principle of plants. A grouped receiver matrix is ​​used as the photosensitive unit, with signal strength as the light intensity, enabling real-time tracking and dynamic adjustment of the optimal signal direction. This achieves coordinated signal screening and antenna adjustment, differing from existing independent signal screening and adjustment schemes. The grouped receiver matrix design and signal acquisition method involve arranging multiple receiver matrices in a ring on the antenna body, each covering a specific angle. Each group independently acquires signal strength, and unequal power distribution feeding technology optimizes anti-interference performance, achieving full-angle signal coverage. This provides comprehensive and accurate data support for optimal direction determination, solving the problem of incomplete acquisition by a single detection unit. The signal strength screening and closed-loop adjustment fusion technology employs a mean filtering + wavelet threshold denoising fusion algorithm for signal denoising. An adaptive threshold screening algorithm accurately distinguishes between valid and interfering signals, and an angle interpolation algorithm accurately determines the optimal direction, ensuring the antenna always locks onto the optimal signal direction, improving adjustment accuracy and timeliness.

[0052] This application's method overcomes the limitation of traditional fixed antennas in dynamically adapting to signal direction, constructing a dynamic tracking scheme based on phototactic characteristics. This solves problems such as communication quality degradation and signal blind spots caused by signal direction deviation in existing technologies. Signal filtering accuracy is significantly improved, resolving issues of misjudgment of interference signals and omission of valid signals in existing technologies. This scheme employs a mean filtering + wavelet threshold noise reduction fusion algorithm, combined with adaptive threshold filtering and signal feature recognition, to accurately eliminate interference signals. Compared to traditional simple filtering methods, this improves filtering accuracy. Simultaneously, it optimizes the anti-interference performance of the receiving matrix through unequal power distribution feeding technology, further reducing the impact of interference on communication. The structure is simplified, maintenance costs are low, and adaptability is stronger. This scheme directly integrates the receiving matrix onto the antenna body, eliminating the need for additional independent signal detection equipment, simplifying the overall structure and reducing deployment and maintenance costs. It also supports scene-adaptive adjustment, allowing flexible adjustment of parameters such as the number of groups and coverage angle according to different scenarios, making its versatility far superior to existing fixed-logic antenna adjustment schemes.

[0053] The method provided in this invention can be applied to an antenna adjustment device. Specifically, the antenna adjustment device can be a desktop computer, a portable computer, a smart mobile terminal, a server, etc. No limitation is made herein; any antenna adjustment device that can implement this invention falls within the protection scope of this invention.

[0054] Based on the same inventive concept, embodiments of the present invention also provide an antenna adjustment device. Embodiments of the present invention also provide an antenna adjustment device, such as... Figure 4 As shown, it includes a processor 601, a communication interface 602, a memory 603, and a communication bus 604, wherein the processor 601, the communication interface 602, and the memory 603 communicate with each other through the communication bus 604. Memory 603 is used to store computer programs; When the processor 601 executes the program stored in the memory 603, it implements the steps of the above-described wireless communication signal strength screening method based on phototactic characteristics.

[0055] The communication bus mentioned in the antenna adjustment device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the figure, but this does not indicate that there is only one bus or one type of bus.

[0056] The communication interface is used for communication between the aforementioned antenna adjustment device and other devices.

[0057] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0058] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0059] The present invention also provides a computer-readable storage medium. A computer program is stored in the computer-readable storage medium, and when executed by a processor, the computer program implements the steps of the above-described method for screening wireless communication signal strength based on phototactic characteristics.

[0060] Optionally, the computer-readable storage medium may be non-volatile memory (NVM), such as at least one disk storage device.

[0061] Optionally, the computer-readable storage medium may also be at least one storage device located remotely from the aforementioned processor.

[0062] In another embodiment of the present invention, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to perform the steps of the above-described method for screening wireless communication signal strength based on phototactic characteristics.

[0063] It should be noted that, for the embodiments of the device / antenna adjustment device / storage medium / computer program, since they are basically similar to the method embodiments, the description is relatively simple. For relevant parts, please refer to the description of the method embodiments. All embodiments of the above-described wireless communication signal strength screening method based on phototactic characteristics are applicable to the device, antenna adjustment device and storage medium, and can achieve the same or similar beneficial effects.

[0064] It should be noted that the terms "first," "second," etc., are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention.

[0065] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, those skilled in the art can combine and integrate the different embodiments or examples described in this specification.

[0066] Although the invention has been described herein in conjunction with various embodiments, those skilled in the art will understand and implement other variations of the disclosed embodiments by reviewing the accompanying drawings and the disclosure in carrying out the claimed invention. In the description of the invention, the word "comprising" does not exclude other components or steps, "a" or "an" does not exclude a plurality, and "a plurality" means two or more, unless otherwise explicitly specified. Furthermore, while different embodiments may describe certain measures, this does not mean that these measures cannot be combined to produce good results.

[0067] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus (devices), or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects, all of which are collectively referred to herein as "modules" or "systems." Furthermore, 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. The computer program may be stored / distributed in a suitable medium, provided with or as part of other hardware, or may take other distribution forms, such as via the Internet or other wired or wireless telecommunications systems.

[0068] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0069] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0071] The above description, in conjunction with specific preferred embodiments, provides a further detailed explanation of the present invention. It should not be construed that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art, various simple deductions or substitutions can be made without departing from the concept of the present invention, and all such modifications and substitutions should be considered within the scope of protection of the present invention.

Claims

1. A method for screening wireless communication signal strength based on phototactic properties, characterized in that, include: Optical signals are acquired using an optical signal receiving matrix mounted on an antenna to obtain the signal to be processed; The optical signal receiving matrix includes multiple optical signal receiving units, and the coverage angles of the multiple optical signal receiving units are different; Determine the angle information corresponding to the target direction based on the signal strength of the signal to be processed; The direction of the antenna is adjusted based on the angle information.

2. The method according to claim 1, characterized in that, Optical signals are acquired using an optical signal receiving matrix mounted on an antenna to obtain the signal to be processed, including: The initial signal is obtained by acquiring the optical signal using an optical signal receiving matrix mounted on the antenna. The initial signal is sequentially subjected to amplitude adjustment, time synchronization calibration, and clutter filtering to obtain the signal to be processed.

3. The method according to claim 2, characterized in that, Determining the angle information corresponding to the target direction based on the signal strength of the signal to be processed includes: Effective signals are filtered based on the signal strength and signal strength threshold of the signal to be processed, thereby obtaining candidate signals; wherein, the signal strength threshold is determined based on the average value and standard deviation of the signal strength of the signal to be processed within a first preset time period corresponding to the current signal to be processed; A secondary screening is performed based on the characteristic parameters of the candidate signals to obtain the final signal; wherein, the characteristic parameters include at least one of frequency, bandwidth, and modulation method; The angle information corresponding to the target direction is determined based on the signal strength of the final signal.

4. The method according to claim 3, characterized in that, Determining the angle information corresponding to the target direction based on the signal strength of the final signal includes: The weighted signal strength corresponding to each final signal is determined based on the signal strength and the stability coefficient of the final signal; wherein, the stability coefficient of the final signal is negatively correlated with the fluctuation amplitude of the final signal; A reference signal is determined based on the weighted signal strength corresponding to each final signal. The reference signal includes final signals whose weighted signal strengths meet preset conditions and whose corresponding optical signal receiving matrix coverage angles are different. The angle information corresponding to the target direction is determined based on the weighted signal strength corresponding to the reference signal and the coverage angle of the optical signal receiving unit corresponding to the reference signal.

5. The method according to claim 4, characterized in that, Determining the angle information corresponding to the target direction based on the weighted signal strength corresponding to the reference signal and the coverage angle of the optical signal receiving unit corresponding to the reference signal includes: The candidate direction angle is determined based on the center angle of the coverage angle of the optical signal receiving unit corresponding to each of the reference signals; The linear interpolation algorithm is used to calculate the angle information corresponding to the target direction using the weighted signal intensity corresponding to the reference signal and the candidate direction angle.

6. The method according to claim 5, characterized in that, After calculating the angle information corresponding to the target direction using the weighted signal intensity corresponding to the reference signal and the candidate direction angle using a linear interpolation algorithm, the method further includes: The angle information is calibrated based on the terrain data corresponding to the antenna.

7. The method according to claim 4, characterized in that, The stability coefficient of the final signal is determined based on the standard deviation and average value of the intensity of the optical signal collected within the second preset time period corresponding to the final signal.

8. The method according to claim 3, characterized in that, Before obtaining candidate signals by filtering effective signals based on the signal strength and signal strength threshold of the signal to be processed, the process further includes: The signal to be processed is denoised using a mean filtering and / or wavelet threshold denoising fusion algorithm.

9. An antenna adjustment device, characterized in that, include: The antenna adjustment device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, communication interface, and memory communicate with each other via the communication bus. Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps of the above-mentioned wireless communication signal strength screening method based on phototactic characteristics.

10. A computer program product containing instructions, characterized in that, When it is run on a computer, it causes the computer to perform any of the steps of the above-mentioned wireless communication signal strength screening method based on phototactic characteristics.

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