A beam indication method and device for a synaesthesia system

Abstract

The present invention provides a beam indication method and device for a synaesthesia system, relating to the field of radio transmission technology. The method comprises: determining the correlation between a communication receiving beam and a perception beam and whether a perception signal is successfully transmitted; comparing a compensation scheme for the perception signal; compensating the perception signal; obtaining a communication receiving beam corresponding to the perception signal transmitted by the perception beam based on the correlation between the communication receiving beam and the perception beam received by a user device; receiving the perception signal using the communication receiving beam; and determining whether the receiving end beam is aligned with the transmitting end beam. The present invention solves the problem in traditional synaesthesia-integrated scenarios where the perception portion of the signal cannot clearly indicate to the user device how to select a receiving beam, resulting in insufficient beam alignment capability. The method helps improve the accuracy of perception tasks, such as in applications such as target detection and environmental monitoring. Better beam alignment and signal compensation can also reduce system energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of radio transmission, and in particular to a beam indication method and device for a synaesthesia system. Background Art

[0002] The new 5G wireless system can provide high-speed communication, high-reliability and low-latency services. With the application of 5G systems in vertical industries, in many scenarios, the integration of communication and perception has become the key to certain high-quality services. The integrated synaesthesia system can perceive the environment around the communication node while communicating. Combined with artificial intelligence technology, the network can integrate information systems and physical systems to provide consumers and industrial users with diversified intelligent services. In the 5G system, position perception capabilities can be provided through beam detection, beam tracking, etc. However, for the integrated synaesthesia system, it can provide more accurate and richer perception content compared to the existing position perception capabilities, especially in the future 5G or 6G systems. With the application of high-frequency bands from millimeter waves to terahertz, larger bandwidth, and denser antenna distribution, communication and perception functions can be integrated into a single system, making the communication system and perception system mutually beneficial.

[0003] For example, the invention patent with publication number CN110661561A discloses a multi-GBPS wireless data communication system for an airborne system. A method for determining access permissions for a beamforming computing device communicating with a beamforming transceiver is provided. The method includes obtaining location information from an inter-region sensor at a central control system, wherein the inter-region sensor is configured to monitor and determine the location of the beamforming computing device when the beamforming computing device approaches a boundary between a first access zone and a second access zone; accessing rules from a storage device of the central control system to determine whether the beamforming computing device is permitted to operate in the second access zone; determining whether the beamforming computing device is permitted to operate in the second access zone based on the rules; and executing a first command to the inter-region sensor by a rule engine of the central control system to instruct the beamforming transceiver in the second zone to initialize communication with the beamforming computing device.

[0004] At present, there are still some deficiencies in the research on a synaesthesia system beam indication method. Specifically, in the traditional synaesthesia integration scenario, the signal of the perception part cannot clearly indicate how the user device should select the receiving beam, and the beam alignment capability is insufficient. Insufficient beam alignment may lead to a decrease in the received signal strength. The beam fails to accurately align with the target signal source, resulting in a decrease in the received signal power, thereby affecting the signal quality. The decrease in signal quality will lead to a decrease in the data transmission rate. Incorrect beam selection or inaccurate alignment will cause the system to have more errors when transmitting data, thereby requiring data retransmission, affecting the overall data transmission efficiency. For perception tasks, insufficient beam alignment will reduce the system's detection accuracy of the target and affect the system's perception capability. Summary of the Invention

[0005] In order to solve the problems existing in the prior art in the scenario of synaesthesia integration, the signals of the perception part cannot clearly instruct the user equipment on how to select the receiving beam, the beam alignment capability is insufficient, and insufficient beam alignment may lead to a decrease in the received signal strength. The beam fails to accurately align with the target signal source, resulting in a reduction in the received signal power, thereby affecting the signal quality. The decline in signal quality will lead to a decrease in the data transmission rate. Wrong beam selection or inaccurate alignment will cause the system to have more errors when transmitting data, thereby requiring data retransmission, affecting the overall data transmission efficiency. For perception tasks, insufficient beam alignment will reduce the system's detection accuracy of the target and affect the system's perception capability. Technical problems, the embodiment of the present invention provides a synaesthesia system beam indication method and device. The technical solution is as follows:

[0006] In one aspect, a synaesthesia system beam indication method is provided. The method is implemented by a synaesthesia system beam indication device, and the method includes:

[0007] Analyze the sending status of the association relationship between the base station communication receiving beam and the sensing beam to determine whether the association relationship between the communication receiving beam and the sensing beam is sent successfully;

[0008] After the association relationship between the communication receiving beam and the sensing beam is successfully sent, the base station sensing signal transmission status is analyzed to determine whether the sensing signal is successfully sent;

[0009] After the sensing signal is successfully transmitted, the state of the demodulation reference signal received by the user equipment is analyzed to obtain a compensation solution for the sensing signal;

[0010] Compensating the perception signal based on the compensation scheme of the obtained perception signal;

[0011] Based on the compensated perception signal, according to the association relationship between the communication reception beam received by the user equipment and the perception beam, a communication reception beam corresponding to the perception signal sent by the perception beam is obtained; and the perception signal is received according to the communication reception beam.

[0012] Analyze the state of the communication receiving beam receiving perception signal to determine whether the receiving end beam is aligned with the transmitting end beam.

[0013] On the other hand, a synaesthesia system beam indication device is provided, which is applied to the synaesthesia system beam indication method, and the device includes:

[0014] An association relationship sending judgment module is used to analyze the sending status of the association relationship between the base station communication receiving beam and the sensing beam, and determine whether the association relationship between the communication receiving beam and the sensing beam is sent successfully;

[0015] A sensing signal transmission judgment module is used to analyze the base station sensing signal transmission status after the association relationship between the communication receiving beam and the sensing beam is successfully transmitted, and to determine whether the sensing signal is successfully transmitted;

[0016] A perception signal compensation scheme comparison module is used to analyze the state of the demodulation reference signal received by the user equipment after the perception signal is successfully transmitted, and obtain a compensation scheme for the perception signal;

[0017] a perception signal compensation module, configured to compensate the perception signal based on the obtained compensation scheme for the perception signal;

[0018] A communication receiving beam acquisition module is configured to obtain, based on the compensated sensing signal and according to the association between the communication receiving beam received by the user equipment and the sensing beam, a communication receiving beam corresponding to the sensing signal sent by the sensing beam; and receive the sensing signal according to the communication receiving beam;

[0019] The beam alignment judgment module is used to analyze the state of the communication receiving beam receiving perception signal and determine whether the receiving end beam is aligned with the transmitting end beam.

[0020] On the other hand, a synaesthesia system beam indication device is provided, comprising: a processor; a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, any one of the above-mentioned synaesthesia system beam indication methods is implemented.

[0021] On the other hand, a computer-readable storage medium is provided, wherein the storage medium stores at least one instruction, and the at least one instruction is loaded and executed by a processor to implement any one of the above-mentioned synaesthesia system beam indication methods.

[0022] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0023] The present invention provides a beam indication method and device for a synaesthesia system. By compensating and optimizing perception signals, the reception quality of the signals can be improved, thereby enhancing the stability and clarity of communication. The compensated perception signals can reduce errors and interference in the signals, improve the accuracy of data transmission, and reduce the bit error rate. Analyzing and adjusting beam alignment can ensure that the beams of the receiving and transmitting ends are precisely aligned, thereby improving the reception quality of the signals and the overall performance of the system. Compensating and optimizing the perception signals can improve the accuracy of perception tasks, such as accuracy in applications such as target detection and environmental monitoring. Better beam alignment and signal compensation can also reduce the energy consumption of the system.

[0024] After the sensing signal is successfully transmitted, the present invention analyzes the state of the demodulation reference signal received by the user equipment and compares it to determine a compensation scheme for the sensing signal. Analyzing the demodulation reference signal state can accurately identify various deviations in the sensing signal (such as channel attenuation and phase offset), thereby formulating a targeted compensation scheme. Accurate compensation can improve the accuracy of the sensing signal. Through effective compensation, errors and noise in the sensing signal can be reduced, thereby improving data reliability and overall system performance. The application of the compensation scheme can reduce the system's sensitivity to environmental changes and improve the system's stability and robustness under various operating conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 This is a flow chart of a beam indication method for a synaesthesia system provided by an embodiment of the present invention;

[0027] Figure 2 This is a block diagram of a synaesthesia system beam indication device provided by an embodiment of the present invention;

[0028] Figure 3 It is a structural diagram of a synaesthesia system beam pointing device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0030] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0031] In the embodiments of the present invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same. The terms "of," "corresponding," and "corresponding" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same.

[0032] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0033] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0034] The embodiment of the present invention provides a synaesthesia system beam indication method, which can be implemented by a synaesthesia system beam indication device, which can be a terminal or a server. Figure 1 The process flow of the synaesthesia system beam indication method shown in FIG. 1 may include the following steps:

[0035] S1. Analyze the sending status of the association relationship between the communication receiving beam and the sensing beam of the base station to determine whether the association relationship between the communication receiving beam and the sensing beam is sent successfully.

[0036] Optionally, analyzing the sending status of the association relationship between the communication receiving beam and the sensing beam of the base station to determine whether the association relationship between the communication receiving beam and the sensing beam is sent successfully includes:

[0037] Obtaining an association relationship sending status data set; the association relationship sending status data set includes an association relationship sending delay, an association relationship sending packet loss rate, an association relationship sending retransmission count, and an association relationship sending signal error rate;

[0038] Based on the acquired association relationship sending state data set, a comprehensive analysis is performed to obtain an association relationship sending state evaluation value; the association relationship sending state evaluation value serves as an analysis basis for determining whether the association relationship between the communication receiving beam and the sensing beam has been successfully sent;

[0039] Comparing the association relationship sending status evaluation value with the association relationship sending status reference evaluation value stored in the database;

[0040] If the association relationship sending state evaluation value is higher than or equal to the association relationship sending state reference evaluation value, the association relationship between the communication receiving beam and the sensing beam corresponding to the association relationship sending state evaluation value is successfully sent;

[0041] If the association relationship sending state evaluation value is lower than the association relationship sending state reference evaluation value, the association relationship between the communication receiving beam and the perception beam corresponding to the association relationship sending state evaluation value is not sent successfully; the association relationship between the communication receiving beam and the perception beam corresponding to the association relationship sending state evaluation value is resent.

[0042] In a feasible implementation, the above-mentioned association relationship sending delay reflects the delay in data packet transmission, which is obtained through network monitoring tools, communication protocol analyzers or device logs; the association relationship sending packet loss rate reflects the proportion of data packet loss, which is obtained through network monitoring tools, SNMP or network testers; the association relationship sending retransmission times reflects the retransmission status of data packets, which is obtained through network protocol analysis tools, network equipment statistics or communication protocol monitoring; the association relationship sending channel error rate reflects the error proportion in the channel, which is obtained through communication equipment statistics, signal analyzers or wireless network monitoring tools. A high packet loss rate usually leads to an increase in sending delay. After a data packet is lost, retransmission is required, which causes additional delays. The increased number of retransmissions will increase the sending delay. Each retransmission requires additional time to resend the data packet and wait for confirmation. A high channel error rate usually leads to a higher sending delay. Channel errors will cause the data packet to need to be retransmitted, thereby increasing the delay. Packet loss is usually associated with a high channel error rate. Noise and interference on the channel will increase the error rate of the data packet, resulting in more packet loss.

[0043] If the association between the communication receiving beam and the perception beam is clear, one communication beam can correspond to one or more perception beams, or multiple communication beams can correspond to one perception beam. If the association between the communication receiving beam and the perception beam is unclear, the base station uses the nearest beam of the sending control channel to send the perception signal, and accordingly, the user equipment uses the receiving beam of the nearest control channel to receive the perception signal.

[0044] The above comprehensive analysis of the association relationship sending status data set (such as sending delay, packet loss rate, number of retransmissions, channel error rate) to evaluate the sending status can accurately determine whether the association relationship between the communication receiving beam and the perception beam is successfully sent, thereby improving the reliability of the system. If the evaluation value of the association relationship sending status is lower than the reference evaluation value, the problem can be detected in time, avoiding the impact of potential communication failures on the system and ensuring the stable operation of the system. By evaluating the sending status, unnecessary retransmissions and resource waste can be reduced. If the evaluation value is high, it indicates that the transmission is successful, and the system can avoid repeated transmission, thereby saving bandwidth and power consumption. According to the evaluation value of the association relationship sending status, the system can dynamically adjust the sending strategy and compensation measures to improve the system's adaptability under different environmental conditions.

[0045] The calculation formula of the association relationship sending status evaluation value is as follows (1):

[0046] (1)

[0047] Where, Sending status evaluation values ​​for relationships, Sending delay for the association relationship, Send packet loss rate for the association relationship, Send retransmission count for the association relationship, Send channel error rate for the association relationship, The weight factor for the sending delay of the set association relationship, The weight factor of the packet loss rate for the set association relationship, The weight factor for the number of retransmissions sent for the set association relationship, The weight factor of the channel error rate for the set association is sent, and e is a natural constant.

[0048] In a feasible implementation manner, the above-mentioned association relationship sending status evaluation value is calculated through the association relationship sending delay, the association relationship sending packet loss rate, the association relationship sending retransmission number, and the association relationship sending channel error rate. The association relationship sending delay, the association relationship sending packet loss rate, the association relationship sending retransmission number, and the association relationship sending channel error rate are normalized to comprehensively reflect the quality of data sending. Through comprehensive evaluation, the overall performance of the sending status can be more accurately understood, rather than relying solely on a single indicator. Comprehensive analysis of these status indicators can effectively identify errors and losses in the data transmission process, improve the reliability and accuracy of data transmission, and through comprehensive analysis of the evaluation values, potential network problems can be predicted in advance and measures can be taken to improve the stability of the system.

[0049] 、 、 、 The compensation factors corresponding to the association relationship sending delay, association relationship sending packet loss rate, association relationship sending retransmission number, and association relationship sending channel error rate preset in the database represent the numerical values ​​of the influence of the association relationship sending delay, association relationship sending packet loss rate, association relationship sending retransmission number, and association relationship sending channel error rate on the association relationship sending status evaluation value. When used, the compensation factors corresponding to the association relationship sending delay, association relationship sending packet loss rate, association relationship sending retransmission number, and association relationship sending channel error rate can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, wherein the mapping relationship can be one-to-one or many-to-one. For example, the association relationship sending delay and the compensation factor of the association relationship sending delay form a mapping set, and the real-time association relationship sending delay is input into the mapping set to obtain the association relationship sending delay. The compensation factor, in this example, has a value range of 0 to 1; for example, the association relationship sending packet loss rate and the compensation factor of the association relationship sending packet loss rate form a mapping set, and the real-time association relationship sending packet loss rate is input into the mapping set to obtain the compensation factor of the association relationship sending packet loss rate, and in this example, its value range is 0 to 1; for example, the association relationship sending retransmission count and the compensation factor of the association relationship sending retransmission count form a mapping set, and the real-time association relationship sending retransmission count is input into the mapping set to obtain the compensation factor of the association relationship sending retransmission count, and in this example, its value range is 0 to 1; for example, the association relationship sending channel error rate and the compensation factor of the association relationship sending channel error rate form a mapping set, and the real-time association relationship sending channel error rate is input into the mapping set to obtain the compensation factor of the association relationship sending channel error rate, and in this example, its value range is 0 to 1.

[0050] S2. After the association relationship between the communication receiving beam and the perception beam is successfully sent, the base station perception signal sending status is analyzed to determine whether the perception signal is sent successfully.

[0051] Optionally, analyzing the base station sensing signal transmission status to determine whether the sensing signal is successfully transmitted includes:

[0052] Acquire a perception signal transmission state data set; based on the acquired perception signal transmission state data set, comprehensively analyze and obtain a perception signal transmission state evaluation value; the perception signal transmission state evaluation value serves as an analysis basis for determining whether the perception signal is successfully transmitted;

[0053] comparing the perceived signal transmission state evaluation value with a perceived signal transmission state reference evaluation value stored in a database;

[0054] If the perception signal transmission state evaluation value is higher than or equal to the perception signal transmission state reference evaluation value, the perception signal corresponding to the perception signal transmission state evaluation value is successfully transmitted;

[0055] If the perception signal transmission state evaluation value is lower than the perception signal transmission state reference evaluation value, the perception signal corresponding to the perception signal transmission state evaluation value is not sent successfully; and the perception signal corresponding to the perception signal transmission state evaluation value is resent.

[0056] In a feasible implementation, the above-mentioned comprehensive analysis of the perception signal sending status data set and comparison with the reference evaluation value can effectively identify problems in the transmission process. If the evaluation value is lower than the preset reference value, the system can promptly detect that the perception signal has not been successfully sent, and take measures to resend it. This mechanism ensures the reliable transmission of the perception signal and reduces system failures caused by data loss or errors. Monitoring and analyzing the sending status of the perception signal can reduce repeated transmission and invalid transmission, optimize the use of network bandwidth and computing resources, avoid unnecessary network congestion, and improve resource utilization efficiency. The automated status evaluation and resending mechanism reduces the need for manual intervention. The operator does not have to manually check the sending status of each signal and resend it. The system can automatically complete these tasks, which reduces human errors and operational complexity and improves the overall operational convenience of the system.

[0057] The sensing signal transmission status data set includes a sensing signal transmission packet loss rate, a sensing signal transmission strength, and an absolute value of a difference between the sensing signal transmission hop count and a reference hop count.

[0058] In a feasible implementation, the perceived signal transmission packet loss rate reflects the data packet loss situation and is obtained through network analyzers, routers, switches, and wireless sensors. The perceived signal transmission strength reflects the signal strength and is obtained through signal strength meters, wireless network analyzers, and base station equipment. The perceived signal transmission hop count refers to the number of relay or forwarding devices that a signal passes through when it is sent from a source device to a destination device in wireless communication or network communication. Each relay is called a "hop", which measures the length of the signal transmission path and is obtained through network analysis tools, routers, and switches. The absolute value of the reference hop count difference measures the difference between the actual hop count and the reference hop count and is obtained through network management systems and performance monitoring tools. At higher transmission strength, the signal packet loss rate generally decreases because the signal can cover a larger range and has stronger anti-interference capabilities. Each additional hop increases the signal transmission delay, which may also lead to an increase in the packet loss rate because the increased delay may increase the network load, thereby causing packet loss. If the signal strength is insufficient, it may be necessary to pass through more relay nodes to ensure that the signal can reach the target, so the number of hops will increase.

[0059] The calculation formula of the perception signal sending state evaluation value is as follows (2):

[0060] (2);

[0061] Where, Sending state evaluation values ​​for sensing signals, is the packet loss rate of the sensing signal, To sense the signal strength, is the absolute value of the difference between the number of hops sent by the perception signal and the reference hop number, is the weight factor of the packet loss rate of the set perception signal, is the weight factor of the set perception signal transmission strength, The weight factor is the absolute value of the difference between the set number of hops for sending the sensing signal and the reference number of hops.

[0062] In a feasible implementation, the above-mentioned perception signal transmission status evaluation value is calculated by the absolute value of the difference between the perception signal transmission packet loss rate, the perception signal transmission strength, and the perception signal transmission hop count and the reference hop count. The absolute value of the perception signal transmission packet loss rate, the perception signal transmission strength, and the difference between the perception signal transmission hop count and the reference hop count is normalized, and the signal integrity (packet loss rate), strength (transmission strength) and path change (hop count difference) are comprehensively considered. It provides a comprehensive evaluation of the signal transmission status and can identify problems in multiple aspects of signal quality, such as packet loss, signal attenuation or unstable hop count. This multi-angle evaluation helps to locate potential problems. Combined with the hop count difference, the effectiveness of the network path can be evaluated, the network configuration and routing strategy can be optimized, and unnecessary hops can be reduced. Monitoring these indicators and calculating the evaluation value can quickly respond to changes in signal quality and perform dynamic adjustments and optimizations.

[0063] 、 、 The compensation factor corresponding to the absolute value of the difference between the perception signal transmission packet loss rate, the perception signal transmission strength, and the perception signal transmission hop count and the reference hop count preset in the database represents the degree of influence of the perception signal transmission packet loss rate, the perception signal transmission strength, and the absolute value of the difference between the perception signal transmission hop count and the reference hop count on the perception signal transmission state evaluation value. When used, the compensation factor corresponding to the perception signal transmission packet loss rate, the perception signal transmission strength, and the absolute value of the difference between the perception signal transmission hop count and the reference hop count can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, wherein the mapping relationship can be one-to-one or many-to-one. For example, the perception signal transmission packet loss rate and the compensation factor of the perception signal transmission packet loss rate form a mapping set, and the actual The real-time perception signal transmission packet loss rate is input into the mapping set to obtain the compensation factor of the perception signal transmission packet loss rate, and its value range in this example is between 0 and 1; for example, the perception signal transmission strength and the compensation factor of the perception signal transmission strength form a mapping set, and the real-time perception signal transmission strength is input into the mapping set to obtain the compensation factor of the perception signal transmission strength, and its value range in this example is between 0 and 1; for example, the absolute value of the difference between the perception signal transmission hop number and the reference hop number and the compensation factor of the absolute value of the difference between the perception signal transmission hop number and the reference hop number form a mapping set, and the absolute value of the difference between the real-time perception signal transmission hop number and the reference hop number is input into the mapping set to obtain the compensation factor of the absolute value of the difference between the perception signal transmission hop number and the reference hop number, and its value range in this example is between 0 and 1.

[0064] S3. After the perception signal is successfully transmitted, the state of the demodulation reference signal received by the user equipment is analyzed to obtain a compensation solution for the perception signal.

[0065] Optionally, analyzing a state of a demodulation reference signal received by the user equipment to obtain a compensation scheme for the perceived signal includes:

[0066] Obtaining a demodulation reference signal state data set received by the user equipment; the demodulation reference signal state data set received by the user equipment includes a demodulation reference signal signal-to-noise ratio, a demodulation reference signal phase offset, and a demodulation reference signal frequency offset;

[0067] Based on the acquired demodulation reference signal state data set received by the user equipment, a demodulation reference signal state evaluation value is obtained through comprehensive analysis. The demodulation reference signal state evaluation value serves as an analysis basis for comparing the perceived signal to determine a compensation solution.

[0068] The demodulation reference signal state evaluation value is compared with the compensation schemes of the perception signal corresponding to each demodulation reference signal state evaluation value stored in the database to obtain the compensation scheme of the perception signal corresponding to the demodulation reference signal state evaluation value.

[0069] In a feasible implementation, the above-mentioned signal-to-noise ratio (SNR) is a ratio that measures the signal strength to the noise strength, indicating the clarity of the signal relative to the background noise during the reception process. The higher the SNR value, the better the signal quality and the smaller the noise impact. Based on the acquisition of the spectrum analyzer, the phase offset refers to the difference between the phase of the received demodulation reference signal and the expected phase. The phase offset may cause signal demodulation errors and affect the correct restoration of the signal. Based on the acquisition of the phase measuring instrument, the frequency offset refers to the difference between the actual frequency of the received demodulation reference signal and the expected frequency. The frequency offset may cause the signal spectrum to shift, thereby affecting the accuracy of demodulation. Based on the acquisition of the spectrum analyzer, a high SNR generally means better signal quality and less noise interference, thereby making the measurement of the phase offset and frequency offset more accurate. If the SNR is low, there may be more noise in the signal, which will increase the measurement errors of the phase and frequency, thereby affecting the accuracy of demodulation. The phase offset and frequency offset are often correlated. Changes in the phase offset may cause errors in the frequency offset. Inaccurate phase offset may also lead to inaccurate estimation of the frequency offset.

[0070] The above-mentioned precise compensation scheme can correct errors caused by factors such as noise, phase and frequency offset in signal transmission, and improve the quality and accuracy of perception signals. An accurate compensation scheme can significantly improve the performance of the perception system and ensure that perception signals can be stably and reliably transmitted and received under different environments and conditions. The automation of the comparison process reduces manual intervention, simplifies signal processing and compensation steps, improves processing efficiency, and dynamically adjusts the compensation scheme. The system can better adapt to changing environmental conditions and signal quality, thereby enhancing the robustness and reliability of the system. By comparing the selection of precise compensation schemes, the scientific nature and accuracy of decision-making are ensured, and deviations due to experience or subjective judgment are reduced.

[0071] The calculation process of the above demodulation reference signal state evaluation value is as follows (3):

[0072] (3);

[0073] Where, is the demodulation reference signal state evaluation value, is the demodulation reference signal-to-noise ratio, To demodulate the reference signal phase offset, To demodulate the reference signal frequency offset, is the weight factor of the demodulation reference signal noise ratio, is the weight factor of the demodulation reference signal phase offset, The weight factor for the set demodulation reference signal frequency offset.

[0074] The above-mentioned demodulation reference signal state evaluation value is calculated through the demodulation reference signal signal-to-noise ratio, demodulation reference signal phase offset, and demodulation reference signal frequency offset. The demodulation reference signal signal-to-noise ratio, demodulation reference signal phase offset, and demodulation reference signal frequency offset are normalized. By comprehensively considering the signal-to-noise ratio, phase offset, and frequency offset, the quality of the demodulation reference signal can be comprehensively evaluated to ensure the accuracy and reliability of the signal. It reflects the signal strength, phase error, and frequency error respectively, which helps to discover and locate potential signal quality problems. The comprehensive evaluation of the signal-to-noise ratio, phase offset, and frequency offset can improve the accuracy of the demodulation process, reduce errors, improve the accuracy of the demodulation results, adapt to changes in the signal environment, such as noise interference, signal attenuation, etc., and ensure the stability of the system under different conditions.

[0075] 、 、 The compensation factors corresponding to the demodulation reference signal signal-to-noise ratio, demodulation reference signal phase offset, and demodulation reference signal frequency offset preset in the database represent the numerical values ​​of the degree of influence of the demodulation reference signal signal-to-noise ratio, demodulation reference signal phase offset, and demodulation reference signal frequency offset on the demodulation reference signal state evaluation value. When used, the compensation factors corresponding to the demodulation reference signal signal-to-noise ratio, demodulation reference signal phase offset, and demodulation reference signal frequency offset can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, in which the mapping relationship can be one-to-one or many-to-one. For example, the demodulation reference signal signal-to-noise ratio and the compensation factor of the demodulation reference signal signal-to-noise ratio form a mapping set. , the real-time demodulation reference signal signal-to-noise ratio is input into the mapping set to obtain the compensation factor of the demodulation reference signal signal-to-noise ratio, and its value range in this example is between 0 and 1; for example, the demodulation reference signal phase offset and the compensation factor of the demodulation reference signal phase offset form a mapping set, and the real-time demodulation reference signal phase offset is input into the mapping set to obtain the compensation factor of the demodulation reference signal phase offset, and its value range in this example is between 0 and 1; for example, the demodulation reference signal frequency offset and the compensation factor of the demodulation reference signal frequency offset form a mapping set, and the real-time demodulation reference signal frequency offset is input into the mapping set to obtain the compensation factor of the demodulation reference signal frequency offset, and its value range in this example is between 0 and 1.

[0076] After the above-mentioned perception signal is successfully sent, the demodulation reference signal status received by the user equipment is analyzed and the compensation scheme for the perception signal is compared. Analyzing the demodulation reference signal status can accurately identify various deviations in the perception signal (such as channel attenuation, phase offset, etc.), thereby formulating a targeted compensation scheme. Accurate compensation can improve the accuracy of the perception signal. Through effective compensation, the error and noise in the perception signal can be reduced, thereby improving data reliability and the overall performance of the system. The application of the compensation scheme can reduce the system's sensitivity to environmental changes and improve the stability and robustness of the system under various operating conditions.

[0077] S4. Compensate the perception signal based on the obtained compensation scheme for the perception signal.

[0078] In a feasible implementation, common compensation solutions include filtering (such as low-pass, high-pass, band-pass, and band-stop filters), echo cancellation, adaptive filtering, and the like.

[0079] S5. Based on the compensated perception signal, and according to the association between the communication reception beam received by the user equipment and the perception beam, obtain a communication reception beam corresponding to the perception signal sent by the perception beam; and receive the perception signal according to the communication reception beam.

[0080] In a feasible implementation, the above-mentioned compensated perception signal can correct errors caused by channel interference, noise, phase offset, etc., ensuring that the received perception signal more accurately reflects the actual environment or target state. Through compensation, the bit error rate caused by channel changes can be reduced, and the reliability and accuracy of the data can be improved. Using the compensated perception signal, the communication receiving beam can be more accurately adjusted to better align it with the source direction of the perception signal, thereby improving the signal reception quality. After compensating the perception signal, subsequent signal processing and analysis can be more accurately performed, improving the stability and reliability of the system. Based on the compensation scheme of the compared perception signal, a compensation algorithm is designed. For example, if the signal is interfered with by periodic noise, it may be necessary to design an algorithm that can implement a notch filter to suppress interference at a specific frequency. Code is written in software (such as MATLAB, Python, etc.) to implement the selected compensation algorithm to achieve the compensation effect.

[0081] S6. Analyze the state of the communication receiving beam receiving perception signal to determine whether the receiving end beam is aligned with the transmitting end beam.

[0082] Optionally, analyzing a state of a communication receiving beam receiving a sensing signal to determine whether a receiving end beam is aligned with a transmitting end beam includes:

[0083] Acquire a communication receiving beam reception perception signal state data set; based on the acquired communication receiving beam reception perception signal state data set, comprehensively analyze and obtain a communication receiving beam reception perception signal state evaluation value, and use the communication receiving beam reception perception signal state evaluation value as an analysis basis for determining whether the receiving end beam and the transmitting end beam are aligned;

[0084] comparing the communication reception beam reception perception signal state evaluation value with the communication reception beam reception perception signal state reference evaluation value stored in the database;

[0085] If the communication receiving beam reception perception signal state evaluation value is higher than or equal to the communication receiving beam reception perception signal state reference evaluation value, the receiving end beam corresponding to the communication receiving beam reception perception signal state evaluation value is aligned with the transmitting end beam;

[0086] If the communication receiving beam receiving perception signal state evaluation value is lower than the communication receiving beam receiving perception signal state reference evaluation value, the receiving end beam corresponding to the communication receiving beam receiving perception signal state evaluation value is not aligned with the transmitting end beam; the perception signal is received again based on the communication receiving beam.

[0087] In a feasible implementation, the above-mentioned method can significantly reduce errors in signal transmission by ensuring that the receiving end beam is aligned with the transmitting end beam. When the beam is well aligned, the signal attenuation, interference and bit error rate will be reduced, thereby improving the signal quality and demodulation accuracy. The aligned beam can effectively concentrate the signal energy, reduce the possibility of signal loss during propagation, and enhance the signal strength. The precisely aligned beam can improve the efficiency of signal transmission, reduce the required power, and thus optimize the overall performance of the system. Good beam alignment can reduce retransmissions and bit errors, thereby improving data transmission rate and network throughput. The aligned beam can reduce mutual interference between different signals, avoid cross-interference of signals, and improve the reliability of communication. The aligned beam reduces power waste because the signal energy is more concentrated and no additional power is required for compensation or retransmission, which also improves the quality of communication.

[0088] Among them, the communication receiving beam receiving perception signal status data set includes the receiving signal bit error rate, the receiving signal signal-to-noise ratio and the total time spent by the communication receiving beam receiving the perception signal.

[0089] In a feasible implementation, the Bit Error Rate (BER) of the received signal refers to the ratio of the number of erroneous bits received during the communication process. It is an important indicator for measuring signal quality and system reliability. A lower bit error rate indicates higher signal quality and better system performance. Signal quality is evaluated by a receiver / demodulator or a bit error rate tester. The received signal signal-to-noise ratio (SNR) refers to the ratio of the strength of the received signal to the strength of the background noise. It is a key parameter for evaluating signal quality and communication link performance. A higher signal-to-noise ratio indicates higher received signal quality. Signal clarity is evaluated by a receiver / signal analyzer or a spectrum analyzer. The total time spent by the communication receiving beam to receive the perceived signal refers to the time spent receiving the signal, and the received signal is recorded. The signal-to-noise ratio (SNR) of the received signal directly affects the bit error rate (BER). When the signal-to-noise ratio is higher, the quality of the received signal is better and the bit error rate is usually lower. This is because a high signal-to-noise ratio means less noise in the signal, and the received bit data is closer to the actual transmitted data, reducing the occurrence of bit errors. If the delay of the received signal is long, it may mean that the network load is high or the processing capacity is insufficient, which may lead to an increase in the bit error rate. A high SNR can reduce the complexity of signal processing, allowing the system to complete demodulation and processing at a faster speed and higher accuracy, thereby reducing the total time spent on receiving the signal.

[0090] The calculation process of the above communication receiving beam receiving perception signal state evaluation value is as follows (4):

[0091] (4);

[0092] Where, is the communication receiving beam receiving perception signal state evaluation value, is the received signal bit error rate, is the received signal-to-noise ratio, The total time it takes for the communication receiving beam to receive the sensing signal, is the weight factor of the received signal bit error rate, is the weight factor of the received signal-to-noise ratio, The weighting factor for the total time it takes for the set communication receiving beam to receive the sensing signal.

[0093] The above-mentioned communication receiving beam receiving perception signal status evaluation value is calculated through the receiving signal bit error rate, the receiving signal signal-to-noise ratio, and the total time spent by the communication receiving beam to receive the perception signal. The receiving signal bit error rate, the receiving signal signal-to-noise ratio, and the total time spent by the communication receiving beam to receive the perception signal are normalized. By comprehensively considering the bit error rate, signal-to-noise ratio and total time spent, the signal reception quality can be comprehensively evaluated, and the signal reception performance can be analyzed from different angles. By analyzing the bit error rate, signal-to-noise ratio and time, the receiving beam strategy can be optimized, the signal reception quality and the overall performance of the system can be improved, and data support can be provided for system adjustment and optimization to ensure the accuracy and reliability of the signal reception process.

[0094] 、 、 The compensation factor corresponding to the received signal bit error rate, received signal signal-to-noise ratio, and total time spent by the communication receiving beam to receive the perception signal preset in the database represents the numerical value of the degree of influence of the received signal bit error rate, received signal signal-to-noise ratio, and total time spent by the communication receiving beam to receive the perception signal on the communication receiving beam receiving the perception signal state evaluation value. When used, the compensation factor corresponding to the received signal bit error rate, received signal signal-to-noise ratio, and total time spent by the communication receiving beam to receive the perception signal can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, wherein the mapping relationship can be one-to-one or many-to-one. For example, the received signal bit error rate and the compensation factor of the received signal bit error rate form a mapping set. The real-time received signal bit error rate is input into the mapping set to obtain the compensation factor of the received signal bit error rate, and its value range in this instance is between 0 and 1; for example, the received signal signal-to-noise ratio and the compensation factor of the received signal-to-noise ratio form a mapping set, and the real-time received signal signal-to-noise ratio is input into the mapping set to obtain the compensation factor of the received signal-to-noise ratio, and its value range in this instance is between 0 and 1; for example, the total time spent by the communication receiving beam to receive the perception signal and the compensation factor of the total time spent by the communication receiving beam to receive the perception signal form a mapping set, and the total time spent by the real-time communication receiving beam to receive the perception signal is input into the mapping set to obtain the compensation factor of the total time spent by the communication receiving beam to receive the perception signal, and its value range in this instance is between 0 and 1.

[0095] The present invention provides a beam indication method and device for a synaesthesia system. By compensating and optimizing perception signals, the reception quality of the signals can be improved, thereby enhancing the stability and clarity of communication. The compensated perception signals can reduce errors and interference in the signals, improve the accuracy of data transmission, and reduce the bit error rate. Analyzing and adjusting beam alignment can ensure that the beams of the receiving and transmitting ends are precisely aligned, thereby improving the reception quality of the signals and the overall performance of the system. Compensating and optimizing the perception signals can improve the accuracy of perception tasks, such as accuracy in applications such as target detection and environmental monitoring. Better beam alignment and signal compensation can also reduce the energy consumption of the system.

[0096] After the sensing signal is successfully transmitted, the present invention analyzes the state of the demodulation reference signal received by the user equipment and compares it to determine a compensation scheme for the sensing signal. Analyzing the demodulation reference signal state can accurately identify various deviations in the sensing signal (such as channel attenuation and phase offset), thereby formulating a targeted compensation scheme. Accurate compensation can improve the accuracy of the sensing signal. Through effective compensation, errors and noise in the sensing signal can be reduced, thereby improving data reliability and overall system performance. The application of the compensation scheme can reduce the system's sensitivity to environmental changes and improve the system's stability and robustness under various operating conditions.

[0097] Figure 2 1 is a block diagram of a synaesthesia system beam indication device according to an exemplary embodiment, wherein the device is used in a synaesthesia system beam indication method. Figure 2 The device includes an association relationship sending judgment module 210, a perception signal sending judgment module 220, a perception signal compensation scheme comparison module 230, a perception signal compensation module 240, a communication receiving beam acquisition module 250, and a beam alignment judgment module 260. Among them:

[0098] The association relationship transmission judgment module 210 is used to analyze the transmission status of the association relationship between the base station communication receiving beam and the sensing beam, and determine whether the association relationship between the communication receiving beam and the sensing beam is successfully transmitted;

[0099] The sensing signal transmission judgment module 220 is configured to analyze the base station sensing signal transmission status after the association relationship between the communication receiving beam and the sensing beam is successfully transmitted, and determine whether the sensing signal is successfully transmitted;

[0100] The perception signal compensation scheme comparison module 230 is configured to analyze the state of the demodulation reference signal received by the user equipment after the perception signal is successfully transmitted, and obtain a compensation scheme for the perception signal;

[0101] a perception signal compensation module 240, configured to compensate the perception signal based on the obtained perception signal compensation scheme;

[0102] The communication receiving beam acquisition module 250 is configured to obtain, based on the compensated sensing signal and according to the association between the communication receiving beam received by the user equipment and the sensing beam, a communication receiving beam corresponding to the sensing signal sent by the sensing beam; and receive the sensing signal according to the communication receiving beam.

[0103] The beam alignment determination module 260 is used to analyze the state of the communication receiving beam receiving sensing signal and determine whether the receiving end beam is aligned with the transmitting end beam.

[0104] Optionally, the association relationship sending determination module 210 is further configured to:

[0105] Obtaining an association relationship sending status data set; the association relationship sending status data set includes an association relationship sending delay, an association relationship sending packet loss rate, an association relationship sending retransmission count, and an association relationship sending signal error rate;

[0106] Based on the acquired association relationship sending state data set, a comprehensive analysis is performed to obtain an association relationship sending state evaluation value; the association relationship sending state evaluation value serves as an analysis basis for determining whether the association relationship between the communication receiving beam and the sensing beam has been successfully sent;

[0107] Comparing the association relationship sending status evaluation value with the association relationship sending status reference evaluation value stored in the database;

[0108] If the association relationship sending state evaluation value is higher than or equal to the association relationship sending state reference evaluation value, the association relationship between the communication receiving beam and the sensing beam corresponding to the association relationship sending state evaluation value is successfully sent;

[0109] If the association relationship sending state evaluation value is lower than the association relationship sending state reference evaluation value, the association relationship between the communication receiving beam and the perception beam corresponding to the association relationship sending state evaluation value is not sent successfully; the association relationship between the communication receiving beam and the perception beam corresponding to the association relationship sending state evaluation value is resent.

[0110] The calculation formula of the association relationship sending status evaluation value is as follows (1):

[0111] (1)

[0112] Where, Sending status evaluation values ​​for relationships, Sending delay for the association relationship, Send packet loss rate for the association relationship, Send retransmission count for the association relationship, Send channel error rate for the association relationship, The weight factor for the sending delay of the set association relationship, The weight factor of the packet loss rate for the set association relationship, The weight factor for the number of retransmissions sent for the set association relationship, The weight factor of the channel error rate for the set association is sent, and e is a natural constant.

[0113] Optionally, the sensing signal sending determination module 220 is further configured to:

[0114] Acquire a perception signal transmission state data set; based on the acquired perception signal transmission state data set, comprehensively analyze and obtain a perception signal transmission state evaluation value; the perception signal transmission state evaluation value serves as an analysis basis for determining whether the perception signal is successfully transmitted;

[0115] comparing the perceived signal transmission state evaluation value with a perceived signal transmission state reference evaluation value stored in a database;

[0116] If the perception signal transmission state evaluation value is higher than or equal to the perception signal transmission state reference evaluation value, the perception signal corresponding to the perception signal transmission state evaluation value is successfully transmitted;

[0117] If the perception signal transmission state evaluation value is lower than the perception signal transmission state reference evaluation value, the perception signal corresponding to the perception signal transmission state evaluation value is not sent successfully; and the perception signal corresponding to the perception signal transmission state evaluation value is resent.

[0118] The sensing signal transmission status data set includes a sensing signal transmission packet loss rate, a sensing signal transmission strength, and an absolute value of a difference between the sensing signal transmission hop count and a reference hop count.

[0119] The calculation formula of the perception signal sending state evaluation value is as follows (2):

[0120] (2);

[0121] Where, Sending state evaluation values ​​for sensing signals, is the packet loss rate of the sensing signal, To sense the signal strength, is the absolute value of the difference between the number of hops sent by the perception signal and the reference hop number, is the weight factor of the packet loss rate of the set perception signal, is the weight factor of the set perception signal transmission strength, The weight factor is the absolute value of the difference between the set number of hops for sending the sensing signal and the reference number of hops.

[0122] Optionally, the perception signal compensation scheme comparison module 230 is further configured to:

[0123] Obtaining a demodulation reference signal state data set received by the user equipment; the demodulation reference signal state data set received by the user equipment includes a demodulation reference signal signal-to-noise ratio, a demodulation reference signal phase offset, and a demodulation reference signal frequency offset;

[0124] Based on the acquired demodulation reference signal state data set received by the user equipment, a demodulation reference signal state evaluation value is obtained through comprehensive analysis. The demodulation reference signal state evaluation value serves as an analysis basis for comparing the perceived signal to determine a compensation solution.

[0125] The demodulation reference signal state evaluation value is compared with the compensation schemes of the perception signal corresponding to each demodulation reference signal state evaluation value stored in the database to obtain the compensation scheme of the perception signal corresponding to the demodulation reference signal state evaluation value.

[0126] Optionally, the beam alignment determination module 260 is further configured to:

[0127] Acquire a communication receiving beam reception perception signal state data set; based on the acquired communication receiving beam reception perception signal state data set, comprehensively analyze and obtain a communication receiving beam reception perception signal state evaluation value, and use the communication receiving beam reception perception signal state evaluation value as an analysis basis for determining whether the receiving end beam and the transmitting end beam are aligned;

[0128] comparing the communication reception beam reception perception signal state evaluation value with the communication reception beam reception perception signal state reference evaluation value stored in the database;

[0129] If the communication receiving beam reception perception signal state evaluation value is higher than or equal to the communication receiving beam reception perception signal state reference evaluation value, the receiving end beam corresponding to the communication receiving beam reception perception signal state evaluation value is aligned with the transmitting end beam;

[0130] If the communication receiving beam receiving perception signal state evaluation value is lower than the communication receiving beam receiving perception signal state reference evaluation value, the receiving end beam corresponding to the communication receiving beam receiving perception signal state evaluation value is not aligned with the transmitting end beam; the perception signal is received again based on the communication receiving beam.

[0131] Among them, the communication receiving beam receiving perception signal status data set includes the receiving signal bit error rate, the receiving signal signal-to-noise ratio and the total time spent by the communication receiving beam receiving the perception signal.

[0132] The present invention provides a beam indication method and device for a synaesthesia system. By compensating and optimizing perception signals, the reception quality of the signals can be improved, thereby enhancing the stability and clarity of communication. The compensated perception signals can reduce errors and interference in the signals, improve the accuracy of data transmission, and reduce the bit error rate. Analyzing and adjusting beam alignment can ensure that the beams of the receiving and transmitting ends are precisely aligned, thereby improving the reception quality of the signals and the overall performance of the system. Compensating and optimizing the perception signals can improve the accuracy of perception tasks, such as accuracy in applications such as target detection and environmental monitoring. Better beam alignment and signal compensation can also reduce the energy consumption of the system.

[0133] After the sensing signal is successfully transmitted, the present invention analyzes the state of the demodulation reference signal received by the user equipment and compares it to determine a compensation scheme for the sensing signal. Analyzing the demodulation reference signal state can accurately identify various deviations in the sensing signal (such as channel attenuation and phase offset), thereby formulating a targeted compensation scheme. Accurate compensation can improve the accuracy of the sensing signal. Through effective compensation, errors and noise in the sensing signal can be reduced, thereby improving data reliability and overall system performance. The application of the compensation scheme can reduce the system's sensitivity to environmental changes and improve the system's stability and robustness under various operating conditions.

[0134] Figure 3 FIG. 1 is a structural diagram of a synaesthesia system beam pointing device provided by an embodiment of the present invention. Figure 3 As shown, the synaesthesia system beam pointing device may include the above Figure 2 Optionally, the synaesthesia system beam indication device 310 may include a first processor 2001 .

[0135] Optionally, the synaesthesia system beam indication device 310 may further include a memory 2002 and a transceiver 2003 .

[0136] The first processor 2001, the memory 2002 and the transceiver 2003 may be connected via a communication bus.

[0137] The following combination Figure 3 The components of the synaesthesia system beam pointing device 310 are described in detail:

[0138] The first processor 2001 is the control center of the synaesthesia system beam pointing device 310 and can be a single processor or a collective term for multiple processing elements. For example, the first processor 2001 can be one or more central processing units (CPUs), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention, such as one or more microprocessors (digital signal processors, DSPs) or one or more field programmable gate arrays (FPGAs).

[0139] Optionally, the first processor 2001 may execute various functions of the synaesthesia system beam indication device 310 by running or executing a software program stored in the memory 2002 and calling data stored in the memory 2002 .

[0140] In a specific implementation, as an embodiment, the first processor 2001 may include one or more CPUs, such as Figure 3 CPU0 and CPU1 are shown in FIG.

[0141] In a specific implementation, as an embodiment, the synaesthesia system beam indication device 310 may also include multiple processors, such as Figure 3 1 and 2. The first processor 2001 and the second processor 2004 are shown in FIG. Each of these processors can be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). A processor herein can refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0142] The memory 2002 is used to store the software program for executing the solution of the present invention, and is controlled by the first processor 2001 for execution. The specific implementation method can refer to the above method embodiment and will not be repeated here.

[0143] Alternatively, the memory 2002 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer, but not limited thereto. The memory 2002 may be integrated with the first processor 2001 or exist independently and accessed through the interface circuit ( Figure 3 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0144] The transceiver 2003 is used to communicate with a network device or a terminal device.

[0145] Optionally, the transceiver 2003 may include a receiver and a transmitter ( Figure 3 The receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0146] Optionally, the transceiver 2003 may be integrated with the first processor 2001 or may exist independently and communicate with the first processor 2001 through the interface circuit of the synaesthesia system beam pointing device 310 ( Figure 3 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0147] It should be noted that Figure 3 The structure of the synaesthesia system beam indication device 310 shown in the figure does not constitute a limitation on the router. The actual knowledge structure recognition device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0148] In addition, the technical effects of the synaesthesia system beam indication device 310 can refer to the technical effects of the synaesthesia system beam indication method described in the above method embodiment, and will not be repeated here.

[0149] It should be understood that the first processor 2001 in the embodiment of the present invention may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, etc.

[0150] It should also be understood that the memory in the embodiments of the present invention may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory may be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0151] The above embodiments can be implemented in whole or in part via software, hardware (e.g., circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present invention are fully or partially performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0152] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0153] In this disclosure, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0154] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0155] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0156] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0157] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of the device or unit, which can be electrical, mechanical or other forms.

[0158] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0159] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0160] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical disks.

[0161] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A beam indication method for a synaesthesia system, characterized in that: The method comprises: Analyze the sending status of the association relationship between the base station communication receiving beam and the sensing beam to determine whether the association relationship between the communication receiving beam and the sensing beam is sent successfully; After the association relationship between the communication receiving beam and the sensing beam is successfully sent, the base station sensing signal transmission status is analyzed to determine whether the sensing signal is successfully sent; After the sensing signal is successfully transmitted, the state of the demodulation reference signal received by the user equipment is analyzed to obtain a compensation solution for the sensing signal; Compensating the perception signal based on the compensation scheme of the obtained perception signal; Based on the compensated perception signal, according to the association relationship between the communication reception beam received by the user equipment and the perception beam, a communication reception beam corresponding to the perception signal sent by the perception beam is obtained; and the perception signal is received according to the communication reception beam. Analyze the state of the communication receiving beam receiving perception signal to determine whether the receiving end beam is aligned with the transmitting end beam.

2. The synaesthesia system beam indication method according to claim 1, characterized in that: The analyzing the sending status of the association relationship between the communication receiving beam and the sensing beam of the base station to determine whether the association relationship between the communication receiving beam and the sensing beam is sent successfully includes: Obtaining an association relationship sending status data set; the association relationship sending status data set includes an association relationship sending delay, an association relationship sending packet loss rate, an association relationship sending retransmission count, and an association relationship sending signal error rate; Based on the acquired association relationship sending state data set, a comprehensive analysis is performed to obtain an association relationship sending state evaluation value; the association relationship sending state evaluation value serves as an analysis basis for determining whether the association relationship between the communication receiving beam and the sensing beam has been successfully sent; Comparing the association relationship sending status evaluation value with the association relationship sending status reference evaluation value stored in the database; If the association relationship sending state evaluation value is higher than or equal to the association relationship sending state reference evaluation value, the association relationship between the communication receiving beam and the sensing beam corresponding to the association relationship sending state evaluation value is successfully sent; If the association relationship sending state evaluation value is lower than the association relationship sending state reference evaluation value, the association relationship between the communication receiving beam and the perception beam corresponding to the association relationship sending state evaluation value is not sent successfully; the association relationship between the communication receiving beam and the perception beam corresponding to the association relationship sending state evaluation value is resent.

3. The synaesthesia system beam indication method according to claim 2, characterized in that: The calculation formula of the association relationship sending status evaluation value is as follows (1): （1） Where, Sending status evaluation values ​​for relationships, Sending delay for the association relationship, Send packet loss rate for the association relationship, Send retransmission count for the association relationship, Send channel error rate for the association relationship, The weight factor for the sending delay of the set association relationship, The weight factor of the packet loss rate for the set association relationship, The weight factor for the number of retransmissions sent for the set association relationship, The weight factor of the channel error rate for the set association is sent, and e is a natural constant.

4. The synaesthesia system beam indication method according to claim 1, characterized in that: The analyzing the base station sensing signal transmission status to determine whether the sensing signal is successfully transmitted includes: Acquire a perception signal transmission state data set; based on the acquired perception signal transmission state data set, comprehensively analyze and obtain a perception signal transmission state evaluation value; the perception signal transmission state evaluation value serves as an analysis basis for determining whether the perception signal is successfully transmitted; comparing the perceived signal transmission state evaluation value with a perceived signal transmission state reference evaluation value stored in a database; If the perception signal transmission state evaluation value is higher than or equal to the perception signal transmission state reference evaluation value, the perception signal corresponding to the perception signal transmission state evaluation value is successfully transmitted; If the perception signal transmission state evaluation value is lower than the perception signal transmission state reference evaluation value, the perception signal corresponding to the perception signal transmission state evaluation value is not sent successfully; and the perception signal corresponding to the perception signal transmission state evaluation value is resent.

5. The synaesthesia system beam indication method according to claim 4, characterized in that: The sensing signal transmission status data set includes a sensing signal transmission packet loss rate, a sensing signal transmission strength, and an absolute value of a difference between a sensing signal transmission hop count and a reference hop count.

6. The synaesthesia system beam indication method according to claim 4, characterized in that: The calculation formula of the perception signal transmission status evaluation value is as follows (2): （2）； Where, Sending state evaluation values ​​for sensing signals, is the packet loss rate of the sensing signal, To sense the signal strength, is the absolute value of the difference between the number of hops sent by the perception signal and the reference hop number, is the weight factor of the packet loss rate of the set perception signal, is the weight factor of the set perception signal transmission strength, The weight factor is the absolute value of the difference between the set number of hops for sending the sensing signal and the reference number of hops.

7. The synaesthesia system beam indication method according to claim 1, characterized in that: The analyzing the state of the demodulation reference signal received by the user equipment to obtain a compensation scheme for the perceived signal includes: Obtaining a demodulation reference signal state data set received by the user equipment; the demodulation reference signal state data set received by the user equipment includes a demodulation reference signal signal-to-noise ratio, a demodulation reference signal phase offset, and a demodulation reference signal frequency offset; Based on the acquired demodulation reference signal state data set received by the user equipment, a demodulation reference signal state evaluation value is obtained through comprehensive analysis. The demodulation reference signal state evaluation value serves as an analysis basis for comparing the perceived signal to determine a compensation solution. The demodulation reference signal state evaluation value is compared with the compensation schemes of the perception signal corresponding to each demodulation reference signal state evaluation value stored in the database to obtain the compensation scheme of the perception signal corresponding to the demodulation reference signal state evaluation value.

8. The synaesthesia system beam indication method according to claim 1, characterized in that: The analyzing the state of the communication receiving beam receiving the sensing signal to determine whether the receiving end beam is aligned with the transmitting end beam includes: Acquire a communication receiving beam reception perception signal state data set; based on the acquired communication receiving beam reception perception signal state data set, comprehensively analyze and obtain a communication receiving beam reception perception signal state evaluation value, and use the communication receiving beam reception perception signal state evaluation value as an analysis basis for determining whether the receiving end beam and the transmitting end beam are aligned; comparing the communication reception beam reception perception signal state evaluation value with the communication reception beam reception perception signal state reference evaluation value stored in the database; If the communication receiving beam reception perception signal state evaluation value is higher than or equal to the communication receiving beam reception perception signal state reference evaluation value, the receiving end beam corresponding to the communication receiving beam reception perception signal state evaluation value is aligned with the transmitting end beam; If the communication receiving beam receiving perception signal state evaluation value is lower than the communication receiving beam receiving perception signal state reference evaluation value, the receiving end beam corresponding to the communication receiving beam receiving perception signal state evaluation value is not aligned with the transmitting end beam; the perception signal is received again based on the communication receiving beam.

9. The synaesthesia system beam indication method according to claim 8, characterized in that: The communication receiving beam receiving perception signal state data set includes a receiving signal bit error rate, a receiving signal signal-to-noise ratio, and a total time spent by the communication receiving beam receiving the perception signal.

10. A synaesthesia system beam indication device, the synaesthesia system beam indication device being used to implement the synaesthesia system beam indication method according to any one of claims 1 to 9, characterized in that: The device comprises: An association relationship sending judgment module is used to analyze the sending status of the association relationship between the base station communication receiving beam and the sensing beam, and determine whether the association relationship between the communication receiving beam and the sensing beam is sent successfully; A sensing signal transmission judgment module is used to analyze the base station sensing signal transmission status after the association relationship between the communication receiving beam and the sensing beam is successfully transmitted, and to determine whether the sensing signal is successfully transmitted; A perception signal compensation scheme comparison module is used to analyze the state of the demodulation reference signal received by the user equipment after the perception signal is successfully transmitted, and obtain a compensation scheme for the perception signal; a perception signal compensation module, configured to compensate the perception signal based on the obtained compensation scheme for the perception signal; A communication receiving beam acquisition module is configured to obtain, based on the compensated sensing signal and according to the association between the communication receiving beam received by the user equipment and the sensing beam, a communication receiving beam corresponding to the sensing signal sent by the sensing beam; and receive the sensing signal according to the communication receiving beam; The beam alignment judgment module is used to analyze the state of the communication receiving beam receiving perception signal and determine whether the receiving end beam is aligned with the transmitting end beam.

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