Data analysis method, device and equipment and computer storage medium

Abstract

The invention discloses a data analysis method and device, equipment and a computer storage medium, and the method comprises the steps: determining a subframe proportion corresponding to a target communication task and a target perception task according to the determined task feature data corresponding to the target communication task and the target perception task; and executing the target communication task and the target sensing task based on the subframe proportion and the preset signal transceiving parameter. And according to the determined target communication data and target sensing data, performing data analysis to obtain a data analysis result. According to the technical scheme, efficient cooperative work of the communication task and the sensing task can be achieved, the resource utilization efficiency is improved to a great extent, and hardware redundancy is greatly reduced. According to the technical scheme, the coordination capability and flexibility during cooperative work of the communication task and the sensing task are enhanced, and resource configuration and system performance are optimized. According to the technical scheme, the accuracy of the sensing task execution process and the sensing task data is effectively improved, and then the accuracy and practicability of a data analysis result are remarkably improved.

Description

Technical Field

[0001] The present application belongs to the field of wireless communication technology, and in particular relates to a data analysis method, apparatus, device, and computer storage medium. Background Art

[0002] In today's field of data collection and analysis, communication technology and perception technology are very practical and widely used technical means. Efficient data transmission and precise environmental monitoring provide strong technical support for various application scenarios.

[0003] Communication technology enables efficient data transmission and interaction, while perception technology accurately captures environmental information and target features, enabling a mapping of the real world to the data hierarchy. Currently, traditional wireless communication and perception systems mostly employ a discrete architecture, where communication and perception are independently performed by different devices. This results in reduced resource utilization and significant hardware redundancy. While methods exist that utilize integrated communication and perception systems to simultaneously perform both communication and perception tasks, existing approaches are unable to effectively coordinate resource usage between communication and perception tasks. Furthermore, interference caused by signal transmission and reception is highly likely to occur during the perception process, compromising the accuracy of perception data collection.

[0004] Therefore, how to achieve accurate and efficient collaboration between communication tasks and perception tasks is an important issue that needs to be solved urgently. Summary of the Invention

[0005] The embodiments of the present application provide a data analysis method, apparatus, device, and computer storage medium, which can achieve efficient and highly flexible collaborative execution of communication tasks and perception tasks, thereby improving resource utilization efficiency and data analysis accuracy.

[0006] In a first aspect, an embodiment of the present application provides a data analysis method, comprising:

[0007] Determining communication task feature data corresponding to the target communication task and perception task feature data corresponding to the target perception task;

[0008] Determine the communication subframe ratio corresponding to the target communication task and the perception subframe ratio corresponding to the target perception task based on the communication task characteristic data and the perception task characteristic data;

[0009] Executing a target communication task and determining target communication data based on a communication subframe ratio and preset signal transceiver parameters, and executing a target perception task and determining target perception data based on a perception subframe ratio and preset signal transceiver parameters;

[0010] Data analysis is performed based on the target communication data and target perception data to obtain data analysis results corresponding to the target communication task and the target perception task.

[0011] In a second aspect, an embodiment of the present application provides a data analysis device, comprising:

[0012] A task feature determination module is used to determine communication task feature data corresponding to the target communication task and perception task feature data corresponding to the target perception task;

[0013] A subframe ratio determination module is used to determine the communication subframe ratio corresponding to the target communication task and the perception subframe ratio corresponding to the target perception task based on the communication task characteristic data and the perception task characteristic data;

[0014] a target data determination module, configured to execute a target communication task and determine target communication data based on a communication subframe ratio and preset signal transceiver parameters, and to execute a target perception task and determine target perception data based on a perception subframe ratio and preset signal transceiver parameters;

[0015] The synaesthesia data analysis module is used to perform data analysis based on the target communication data and the target perception data to obtain data analysis results corresponding to the target communication task and the target perception task.

[0016] In a third aspect, an embodiment of the present application provides a terminal device, the device comprising: a processor and a memory storing computer program instructions;

[0017] When the processor executes the computer program instructions, the data analysis method of the first aspect is implemented.

[0018] In a fourth aspect, an embodiment of the present application provides a computer storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the data analysis method of the first aspect is implemented.

[0019] In a fifth aspect, an embodiment of the present application provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the data analysis method as in the first aspect.

[0020] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:

[0021] A data analysis method provided in an embodiment of the present application includes the following steps: first, determining the communication and perception task characteristic data corresponding to the target communication task and the target perception task, respectively. Based on the task characteristic data, the communication subframe ratio and the perception subframe ratio corresponding to the target communication task and the target perception task in the communication and perception integrated system or platform can be determined respectively. Then, based on the communication subframe ratio and the perception subframe ratio, as well as preset signal transceiver parameters, the target communication task and the target perception task can be executed. Finally, based on the determined target communication data and target perception data, data analysis can be performed to obtain data analysis results.

[0022] The technical solution provided by the embodiment of the present application can realize the efficient collaboration of communication tasks and perception tasks, greatly improve resource utilization efficiency, and significantly reduce hardware redundancy. In addition, the technical solution of the present application can accurately judge and adjust the subframe ratio corresponding to each task according to the task characteristics, enhance the coordination ability and flexibility of communication tasks and perception tasks when working together, and optimize resource allocation and system performance. The task execution process of the present application can significantly reduce the problem of transceiver interference during the execution of the perception task based on preset signal transceiver parameters, effectively improve the accuracy of the perception task execution process and the perception task data, and thereby significantly improve the accuracy and practicality of the data analysis results.

[0023] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0025] Figure 1 A flowchart of a data analysis method provided in one embodiment of the present application;

[0026] Figure 2 A flowchart of a target communication task execution process provided by one embodiment of the present application;

[0027] Figure 3 A flowchart of a target perception task execution process provided by one embodiment of the present application;

[0028] Figure 4 A schematic diagram of the structure of a communication and perception integrated system provided in one embodiment of the present application;

[0029] Figure 5 A schematic structural diagram of a data analysis device provided in another embodiment of the present application;

[0030] Figure 6 A schematic diagram of the hardware structure of a terminal device provided in yet another embodiment of the present application. DETAILED DESCRIPTION

[0031] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is merely to provide a better understanding of the present application by illustrating the examples of the present application.

[0032] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0033] In today's data collection and analysis fields, communication and perception technologies are commonly used and highly practical. Communication technologies enable efficient data transmission and interaction, while perception technologies accurately capture environmental information and target features, enabling a mapping of the real world to the data layer.

[0034] However, there is currently a lack of a high-performance integrated system or solution that can synchronize and coordinate communication and perception. The wireless communication and perception systems in traditional technologies mostly adopt a discrete architecture, that is, communication and perception are independently operated by different devices, resulting in reduced resource utilization and serious hardware redundancy.

[0035] While integrated communication and perception systems currently exist that can perform both communication and perception tasks, existing implementation methods cannot effectively coordinate the dynamic allocation of resources between communication and perception tasks. Furthermore, hardware signal transmission and reception defects can easily lead to signal interference during the perception task, which in turn affects the accuracy of perception data. Furthermore, existing integrated communication and perception methods are unable to be optimized for specific application scenarios (such as low-altitude drone monitoring and ocean vessel detection), resulting in significant limitations and insufficient flexibility. This significantly reduces the efficiency and accuracy of communication and perception tasks in actual applications.

[0036] Based on the above problems, a data analysis method, apparatus, device and computer storage medium are provided in an embodiment of the present application. The method specifically includes: determining the communication subframe ratio and perception subframe ratio corresponding to the target communication task and the target perception task in the communication and perception integrated system or platform respectively based on the communication and perception task characteristic data corresponding to the determined target communication task and the target perception task respectively. Then, based on the communication subframe ratio and the perception subframe ratio, as well as each preset signal transceiver parameter, the target communication task and the target perception task are executed to determine the target communication data and the target perception data. Finally, based on the target communication data and the target perception data, the data analysis results are obtained after data analysis.

[0037] The technical solution provided by the embodiment of the present application can successfully realize the efficient collaboration of communication tasks and perception tasks, greatly improve resource utilization efficiency, and significantly reduce hardware redundancy. Among them, the technical solution of the present application can accurately judge and adjust the subframe ratio corresponding to the communication and perception tasks according to the task characteristics, enhance the coordination ability and flexibility of the communication and perception tasks when working together, and optimize resource allocation and system performance. The task execution process of the present application can be based on preset signal transmission and reception parameters, significantly reduce the problem of transmission and reception interference during the execution of the perception task, effectively improve the accuracy of the perception task execution process and the perception task data, and thus significantly improve the accuracy and practicality of the data analysis results.

[0038] Regarding the execution subject adopted by the technical solution provided in the embodiment of the present application, it can be a terminal device, such as a desktop computer, a laptop computer, etc., or a remote device, such as a server, etc. In addition, the execution subject adopted in the embodiment of the present application can also be an execution subject in the form of software, such as a client, a software program, etc. installed in the terminal device. The specific type corresponding to the execution subject of the signal enhancement method, device and storage medium based on the intelligent metasurface provided in the embodiment of the present application is not strictly limited here. For example, the technical solution provided in the embodiment of the present application can be applied to a wired antenna array (Active Antenna Unit, AAU) with integrated communication and perception functions. It can be flexibly selected and set according to the application scenario and actual needs.

[0039] It should be noted that the embodiments provided in this application do not limit the specific application scenarios corresponding to the above-mentioned data analysis methods, devices, equipment and computer storage media. The technical solutions provided in the embodiments of this application can be flexibly applied to various data analysis scenarios that require integrated communication perception according to actual needs.

[0040] For example, in the actual application scenario of data communication and perception detection for low-altitude drone swarms, the technical solution provided by the embodiment of the present application can determine the task feature data corresponding to the target communication task and target perception task for the low-altitude drone swarm, and then determine the subframe proportion corresponding to the communication task and perception task based on the task priority and importance represented by the feature data.

[0041] Then, based on the communication and perception subframe ratios and preset signal transmission and reception parameters, the target communication and perception tasks for low-altitude drone swarms can be efficiently executed. Finally, data analysis is performed based on the target communication and perception data to obtain data analysis results covering both communication and perception of low-altitude drone swarms.

[0042] The technical solutions provided by the embodiments of this application enable the coordinated execution of communication and perception tasks for a swarm of low-altitude drones, flexibly adjusting subframe ratios based on mission characteristics, and significantly improving resource utilization. Furthermore, based on targeted, preset signal transmission and reception parameters, interference between signal transmission and reception during the perception process can be effectively avoided, improving the efficiency and accuracy of target perception data acquisition.

[0043] It should be noted that the application scenarios described in the above embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that, with the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems. The data analysis methods, devices, equipment, and computer storage media provided in the embodiments of the present application can be applied to various data analysis scenarios that require integrated communication perception of user devices.

[0044] Figure 1 A flowchart of a data analysis method provided in accordance with an embodiment of the present application.

[0045] like Figure 1 As shown, the data analysis method provided in the embodiment of the present application includes steps S101 to S104.

[0046] S101: Determine communication task feature data corresponding to a target communication task and perception task feature data corresponding to a target perception task.

[0047] In step S101, the technical solution provided by the embodiment of the present application can determine corresponding communication task feature data and perception task feature data according to the task requirements corresponding to the target communication task and the target perception task.

[0048] The communication task characteristic data can be used to indicate the task requirements corresponding to the target communication task. Specifically, the communication task requirements can include, for example, an increase or decrease in communication traffic volume, or the priority of the communication task. The perception task characteristic data can be used to indicate the task requirements corresponding to the target perception task. Specifically, the perception task requirements can include, for example, the accuracy standard of the perception task, or the urgency of the perception task.

[0049] Specifically, in an embodiment provided in the present application, the traffic volume data of the target communication task and the perception accuracy standard of the target perception task can be obtained first.

[0050] Then, based on the volume of traffic represented by the traffic data, the communication service priority corresponding to the target communication task can be flexibly determined, serving as the aforementioned communication task characteristic data. Simultaneously, based on the perception accuracy requirements corresponding to the perception accuracy standards, the perception task accuracy requirements corresponding to the target perception task can be determined, serving as the aforementioned perception task characteristic data.

[0051] The task feature data determined through the above embodiments can provide a strong allocation basis for the subframe allocation process in subsequent wireless frames, thereby improving the accuracy and practicality of the subframe ratio allocation process, making the execution process of subsequent target communication tasks and target perception tasks more in line with actual task requirements, and improving the processing accuracy of the data analysis process and the accuracy and practicality of the data analysis results.

[0052] It should be noted that the specific communication and perception integrated platform or system to which the data analysis method provided in the embodiments of the present application is applied is not strictly limited and can be flexibly adjusted according to the application scenario and actual needs. In some embodiments, the data analysis method provided in the embodiments of the present application can be applied to a wired antenna array unit (Active Antenna Unit, AAU), which can achieve the coordinated execution of target communication tasks and target perception tasks through the wired antenna array unit, thereby performing data analysis on both communication and perception.

[0053] The specific design parameters and layout structure of the wired antenna array units using the technical solutions of the embodiments of this application are not strictly limited in the embodiments of this application. In some embodiments, Massive Multiple-Input Multiple-Output (MIMO) technology may be selected. Specifically, the number of channels is 128, the total number of array elements is 384, the operating frequency band is 4.8 GHz to 5.0 GHz, the antenna gain can be set to no less than 23 dBi, the horizontal beamwidth is 120°, and the vertical beamwidth is within the range of ±60°.

[0054] In addition, a vertical wide beamwidth design can be applied to the wired antenna array unit. Specific parameters include: 16 sub-arrays can be set in the vertical direction, with each sub-array containing 8 elements. The sub-array spacing can be set to 0.8 times the operating wavelength, and the spacing between each element in the sub-array can be set to 0.5 times the operating wavelength. By setting a non-uniform spacing arrangement, a vertical coverage range of ±60° can be achieved. 24 elements can be set in the horizontal direction, and the spacing between each element can be set to 0.5 times the operating wavelength to achieve a horizontal coverage range of ±45°.

[0055] The type and parameter settings of the array are also not strictly limited in this application. For specific reference, please refer to: For the array of broadband patch antenna type, the array bandwidth can be set to no less than 200MHz, the polarization mode can be dual polarization, that is, ±45°, and the cross-polarization isolation between arrays should be set to no less than 30dB.

[0056] The above parameters are only used as examples to facilitate understanding of the feasible design schemes and mechanisms of the wired antenna array unit applying the technical solutions of the embodiments of the present application. In other embodiments, any of the above parameters can also be adaptively adjusted according to actual needs and application scenarios.

[0057] S102: Determine the communication subframe ratio corresponding to the target communication task and the perception subframe ratio corresponding to the target perception task based on the communication task characteristic data and the perception task characteristic data.

[0058] In step S102, the technical solution provided in the embodiment of the present application can determine the ratio of communication subframes corresponding to the target communication task in a single wireless frame of the integrated communication and perception system, and determine the ratio of perception subframes corresponding to the target perception task in a single wireless frame based on the communication task characteristic data and perception task characteristic data determined in step S101.

[0059] In one embodiment provided herein, the communication ratio adjustment range corresponding to the target communication task can be determined based on the communication task characteristic data corresponding to the target communication task. Simultaneously, the perception ratio adjustment range corresponding to the target perception task can be determined based on the perception task characteristic data corresponding to the target perception task.

[0060] Among them, the communication ratio adjustment amplitude and the perception ratio adjustment amplitude can be understood as the increase or decrease amplitude of the ratio that needs to be adjusted according to the task requirements. For example, when the communication task characteristic data indicates that the business volume corresponding to the target communication task increases, the communication ratio adjustment amplitude can be appropriately increased. When the business volume decreases, the communication ratio adjustment amplitude can be appropriately reduced, and the excess subframes and resources can be used to execute higher-priority target perception tasks.

[0061] When the perception task characteristic data indicates that the perception accuracy corresponding to the target perception task is improved, the perception ratio adjustment amplitude can be appropriately increased. When the perception accuracy is reduced, the perception ratio adjustment amplitude can be appropriately reduced, and the excess subframes and resources can be used to execute target communication tasks with higher priority.

[0062] Then, based on the communication ratio adjustment amplitude and the perception ratio adjustment amplitude, the default subframe allocation ratio corresponding to a single wireless frame of the integrated communication and perception system can be proportionally adjusted to obtain an adjusted subframe allocation ratio. The communication subframe ratio in the adjusted subframe allocation ratio can be used as the communication subframe ratio, and the perception subframe ratio can be used as the perception subframe ratio.

[0063] The processing process of the above embodiment can accurately determine the subframe proportions corresponding to the target communication task and the target perception task, thereby flexibly allocating resources. While effectively improving resource utilization, it also makes the execution of subsequent communication tasks and perception tasks more in line with actual needs, thereby improving the accuracy and practicality of the target communication data and the target perception data, and thus improving the analysis accuracy and efficiency of the overall data analysis process.

[0064] It should be noted that the total frame length and number of subframes corresponding to the above-mentioned single radio frame are not strictly limited in the embodiments of the present application. In the embodiments, the above-mentioned subframe ratio allocation process can be implemented by a time division multiplexing scheduling unit connected to the active antenna array unit in the above-mentioned embodiment, which can be used as the technical solution provided by the embodiments of the present application.

[0065] The time-division multiplexing scheduling unit can perform the aforementioned allocation of communication and sensing subframe occupancy ratios for the active antenna array unit. Each radio frame can have a total frame length of 10ms, and the number of subframes can be set to 10, meaning each subframe corresponds to 1ms. Each subframe can be set to contain 14 time slots, with each time slot corresponding to approximately 71.4μs. In this embodiment, the default subframe allocation ratio for the radio frame can be 80% of the subframes used for executing the target communication task, i.e., 8ms, and the remaining 20% of the subframes can be used for executing the target sensing task, i.e., 2ms.

[0066] The time-division multiplexing (TDDM) scheduling unit determines the corresponding ratio adjustment based on task characteristic data. The adjustment step can be set to 10%, or one subframe per 1ms. The default subframe allocation ratio is adjusted accordingly based on the communication ratio adjustment and the perception ratio adjustment. The adjustment period can be set to 100ms, meaning the ratio adjustment and subframe allocation ratio are determined and adjusted every 100ms. This ensures flexible resource allocation based on actual task requirements, enabling efficient time-division multiplexing.

[0067] S103: Based on the communication subframe ratio and the preset signal transceiver parameters, execute the target communication task and determine the target communication data; and based on the perception subframe ratio and the preset signal transceiver parameters, execute the target perception task and determine the target perception data.

[0068] In step S103, the technical solution provided in the embodiment of the present application can simultaneously execute the target communication task and the target perception task based on the communication subframe ratio and the perception subframe ratio determined in step S103, as well as the preset signal receiving and transmitting parameters, to achieve the coordinated implementation of the communication and perception tasks, thereby obtaining the target communication data and the target perception data.

[0069] The preset signal transceiver parameters include multiple parameters used during the execution of the target communication task and the target perception task. The preset signal transceiver parameters in this application can be flexibly set and adjusted based on the actual application scenario and the communication and perception objects. The execution process of the target communication task and the execution process of the target perception task are described in detail below.

[0070] Target communication data can be used to characterize data throughput characteristics, transmission error rate, channel quality indicators, etc. Target perception data can be used to represent the target position, movement speed, and movement trajectory of each perceived target.

[0071] Regarding the specific execution process of the target communication task, in one embodiment provided in this application, the above-mentioned preset signal transceiver parameters may include the communication coding parameters, communication modulation parameters, beamforming parameters, signal transmission parameters and data adjustment parameters used in the execution process of the target communication task. Based on these parameters, the target communication task can be smoothly executed, thereby obtaining the target communication data for subsequent data analysis. For the specific process, please refer to Figure 2 The flowchart shown.

[0072] Figure 2 A flow chart of a target communication task execution process provided by an embodiment of the present application. Figure 2 As shown, the target communication task execution process includes S201 to S205.

[0073] S201: Determine, according to the communication subframe ratio, a portion of communication subframes in a wireless frame for executing a target communication task.

[0074] In step S201, the ratio of communication subframes corresponding to the target communication task can be determined according to the above steps, and the portion of communication subframes corresponding to the target communication task in the wireless frame of the integrated communication perception system or platform can be determined. The duration corresponding to the portion of the communication subframes can be used to execute the target communication task according to various parameters.

[0075] S202: In some communication subframes, a communication signal corresponding to a target communication task is generated according to communication coding parameters and communication modulation parameters.

[0076] In step S202, corresponding communication signals may be generated in part of communication subframes of each radio frame according to communication coding parameters and communication modulation parameters in preset signal transceiver parameters.

[0077] Taking the active antenna array unit as an example in the above embodiment, in some embodiments, the communication coding parameters corresponding to the communication signal may specifically include the coding type, and the communication modulation parameters may include the amplitude modulation type and the orthogonal frequency division multiplexing (OFDM) generation parameters.

[0078] The coding type can adopt the low-density parity-check code (LDPC) with a sparse check matrix, and the corresponding code rate can be 1 / 2, 2 / 3, 3 / 4, 5 / 6, etc. The amplitude modulation type can select quadrature phase shift keying (QPSK) or quadrature amplitude modulation (QAM) of various orders (such as 16QAM, 64QAM, 256QAM, etc.). The orthogonal frequency division multiplexing generation parameters can specifically include the number of fast Fourier transform (FFT) points (such as 4096) and the subcarrier spacing (such as 30kHz).

[0079] S203: Perform beamforming optimization on the communication signal according to the beamforming parameters to obtain an optimized communication signal corresponding to the communication signal.

[0080] In step S203, beamforming optimization for the communication signal may be implemented according to the beamforming parameters in the preset signal transceiver parameters, thereby obtaining an optimized communication signal.

[0081] The specific beamforming process involves determining channel state information (CSI) from uplink pilot signals, and then calculating optimal weights based on this CSI. The calculation method can use the minimum mean-square error (MSE) criterion. Finally, the calculated weights can be applied to each channel of the integrated communication and perception system or platform to optimize the beamforming of the communication signal.

[0082] Among them, taking the active antenna array unit as an example in the above embodiment, the beamforming parameters can specifically include the number of spatial streams, which can be up to 16 spatial streams, and the beam width parameter, which can be adjusted from 5° to 40°, and the sidelobe level can be set to no more than -25dB.

[0083] S204: Send the optimized communication signal to the user equipment according to the signal transmission parameters.

[0084] In step S204, the communication signal after beamforming optimization may be sent toward each user equipment according to the signal transmission parameters in the preset signal transceiver parameters.

[0085] In the above embodiment, where the active antenna array unit is used as the execution subject, the signal transmission parameters may include the accuracy of the digital-to-analog conversion (D / A conversion) converter, for which a 16-bit digital-to-analog converter (DAC) may be selected, corresponding to a sampling rate of 491.52 MHz. They may also include up-conversion parameters, which may be set to up-convert the baseband signal to the 4.9 GHz frequency band.

[0086] S205: Receive user communication data returned by the user equipment according to the optimized communication signal, and determine demodulated communication data corresponding to the user communication data according to the data demodulation parameters as target communication data.

[0087] In step S205, data demodulation may be performed on the user communication data returned by the user equipment according to the data demodulation parameters to obtain demodulated communication data as target communication data corresponding to the target communication task.

[0088] The adjustment process specifically involves analog-to-digital conversion (A / D) of user communication data, followed by channel estimation based on the converted data, which can be achieved using minimum mean square error (MMSE) of pilot signals. Frequency domain equalization is then performed to precisely eliminate signal artifacts. Finally, a pre-set demodulation and decoding algorithm is used to obtain the demodulated communication data, which serves as the target communication data.

[0089] In the above embodiment, where the active antenna array unit is used as the execution subject, the data demodulation parameters may specifically include quadrature amplitude modulation parameters, supporting up to 256QAM high-order modulation. The channel decoding algorithm may be a soft-decision Viterbi algorithm, and the bit error rate may be no greater than 1*10^-6 in a scenario with a signal-to-noise ratio of 10dB.

[0090] Through the above execution process, the target communication data corresponding to the target communication task in some communication subframes of the wireless frame can be accurately determined. The setting and actual application of each preset signal transmission and reception parameter significantly improve the execution efficiency of the overall target communication task and the determination accuracy of the target communication data, providing a strong basis for the subsequent data analysis process, and improving the data analysis efficiency and practicality of the data analysis results of the integrated communication perception system or platform.

[0091] In addition, regarding the specific execution process of the target perception task, in one embodiment provided in this application, the above-mentioned preset signal transmission and reception parameters may also include the perception waveform parameters, beam scanning parameters, echo reception parameters, self-transmission and self-reception parameters, and perception detection parameters used in the execution process of the target perception task. Based on these parameters, the target perception task can be smoothly executed, thereby accurately obtaining the target perception data for subsequent data analysis. The specific execution process of the target perception task can be referred to Figure 3 The flowchart shown.

[0092] Figure 3 A flowchart of a target perception task execution process provided by an embodiment of the present application. Figure 3 As shown, the target perception task execution process includes S301 to S306.

[0093] S301: Determine, according to the sensing subframe ratio, a portion of sensing subframes in a radio frame for performing a target sensing task.

[0094] In step S301, similar to the above-mentioned target perception task execution process, the partial perception subframes corresponding to the target perception task can be determined in a single wireless frame of the communication perception integrated system or platform based on the perception subframe ratio. During the duration corresponding to the partial perception subframes, the target perception task can be executed according to various parameters using system resources.

[0095] S302: In some perception subframes, generating a perception waveform corresponding to a target perception task according to the perception waveform parameters.

[0096] In step S301, a perception waveform corresponding to a target perception task may be generated according to perception waveform parameters in preset signal transceiver parameters within a duration corresponding to a portion of perception subframes in a radio frame.

[0097] Among them, still taking the active antenna array unit as the executing subject in the above embodiment as an example, the sensing waveform parameters can specifically include the waveform type corresponding to the sensing waveform, which can be a linear frequency modulated continuous wave (LFMCW), and waveform parameters. Specifically, the waveform bandwidth can be set to 100 MHz, the pulse width to 100 μs, and the repetition frequency to 1 kHz.

[0098] S303: Based on the sensing waveform, generate and transmit sensing detection beams in multiple directions corresponding to the beam scanning parameters.

[0099] In step S303, based on the sensing waveform obtained in step S302 and based on the beam scanning parameters in the preset signal transceiver parameters, corresponding multiple sensing detection beams may be generated and transmitted in multiple directions.

[0100] Among them, taking the active antenna array unit as an example in the above embodiment, the beam scanning parameters include the number of single scanning beams, which can be set to 8, and the scanning period can be set to 10ms, that is, the duration of each beam is 125μs, and the beam coverage range can include horizontal ±45° and vertical ±60°.

[0101] In addition, when transmitting the beam, the beam transmission power can be dynamically adjusted according to the distance corresponding to each sensing target in the coverage area, and the maximum power can be set to 33dBm / channel.

[0102] S304: Receive echo signals corresponding to the sensing detection beams in multiple directions according to the echo reception parameters.

[0103] In step S304, echo signals corresponding to the multiple sensing detection beams may be received according to the echo reception parameters in the preset signal transceiver parameters. Taking the embodiment described above where the active antenna array unit is an example, the echo reception parameters may specifically include a detection sensitivity, which may be configured to detect an echo signal of not less than -100 dBm within a 10 MHz signal bandwidth. The detection dynamic range may be set to 80 dB.

[0104] S305: Process the echo signal according to the self-transmitting and self-receiving parameters to obtain processed echo signal data.

[0105] In step S305, the echo signal obtained in step S304 may be processed according to the self-transmission and self-reception parameters in the preset signal transmission and reception parameters to obtain processed echo signal data corresponding to the echo signal. The self-transmission and self-reception parameters may include the preset RF switch high isolation parameters, noise reduction processing parameters, filtering processing parameters, Doppler processing parameters, distance processing parameters, and azimuth processing parameters corresponding to the integrated communication and perception system.

[0106] Specifically, in one embodiment provided herein, the echo signal can first be filtered according to preset filtering parameters to implement pulse compression processing of the echo signal, thereby significantly improving the signal-to-noise ratio. The filtered echo signal can then be subjected to further noise reduction processing according to preset noise reduction parameters to obtain a noise-reduced echo signal.

[0107] The noise reduction processing parameters may include a specific noise reduction method, such as wavelet transform (WT), which can improve the signal-to-noise ratio by no less than 3dB. The filtering processing parameters may include a filter type, such as finite impulse response filter (FIR), which can achieve a sideband suppression of no less than 60dB.

[0108] Then, Doppler processing can be performed on the noise-reduced echo signal according to the Doppler processing parameters in the self-transmitting and self-receiving parameters, and the echo signal can be analyzed using the Doppler effect to obtain Doppler spectrum data corresponding to the echo signal.

[0109] Among them, taking the active antenna array unit as an example in the above embodiment, the Doppler processing parameters can specifically include the use of a Fast Fourier Transform (FFT) algorithm, the specific number of points can be 8192, the processing speed resolution can be set to 0.1m / s, and the maximum unambiguous speed can be set to ±50m / s.

[0110] Next, the azimuth and distance of the Doppler spectrum data determined above can be determined based on the distance processing parameters and azimuth processing parameters in the self-transmitting and self-receiving parameters, and the target distance data and target azimuth data corresponding to the perceived target to which the echo signal belongs can be obtained as the processed echo signal data corresponding to the echo signal.

[0111] Among them, taking the active antenna array unit as an example in the above embodiment, the distance processing parameters and azimuth processing parameters can include algorithm types, two-dimensional fast Fourier transform can be selected, the distance resolution can be set to 1.5m, and the azimuth angle resolution can be set to 1°.

[0112] Through the above-mentioned noise reduction, Doppler processing, and distance and azimuth positioning of the echo signal, the interference problem caused by signal transmission and reception during the execution of the perception task can be significantly avoided. In addition, the embodiment of the present application also has high isolation parameters of the RF switch. Specifically, a PIN diode switch (Positive-Intrinsic-Negative Diode Switch) can be used as a high-isolation RF switch. The switching speed can be no more than 100ns, and the signal transmission and reception isolation can reach no less than 80dB. The realization of high isolation can effectively ensure the accurate signal transmission and reception of the integrated communication and perception system, significantly improving the accuracy of the target perception data and its practicality in the subsequent data analysis process.

[0113] S306: Determine the perception detection data as the target perception data according to the perception detection parameters and the processed echo signal data.

[0114] In step S306, perception detection can be performed based on the echo signal data processed in step S305 and the perception detection parameters in the preset signal transmission and reception parameters to determine the perception detection data corresponding to the perception target as the target perception data corresponding to the target perception task.

[0115] Among them, taking the active antenna array unit as an example of the execution subject in the above embodiment, the perception detection parameters may include a detection algorithm, specifically a cell average constant false alarm rate detection algorithm (Cell Averaging Constant False Alarm Rate, CA-CFAR), and the false alarm rate may be no more than 10^-6. At the same time, it may also include a tracking algorithm, specifically an extended Kalman filter method (Extended Kalman Filter, EKF), and the tracking distance accuracy is no more than 1m, the tracking speed accuracy is no more than 0.5m / s, and the tracking angle accuracy is no more than 0.5°.

[0116] The above-described execution process accurately determines the target perception data corresponding to the target perception task within a portion of the perception subframes of the wireless frame. The setting and practical application of the preset signal transmission and reception parameters significantly improves the overall target perception task execution efficiency and the accuracy of the target perception data determination, providing a strong basis for subsequent data analysis and enhancing the data analysis efficiency and practicality of the integrated communication and perception system or platform. Furthermore, during the perception task execution, the preset self-transmission and self-reception parameters, coupled with the high isolation characteristics, can largely avoid signal interference during the signal transmission and reception process, significantly improving the accuracy and practicality of the target perception data.

[0117] S104: Perform data analysis based on the target communication data and the target perception data to obtain data analysis results corresponding to the target communication task and the target perception task.

[0118] In step S104, the technical solution provided in the embodiment of the present application can perform data analysis from both the communication and perception aspects based on the target communication data and target perception data determined in step S105, thereby efficiently and accurately determining the data analysis results corresponding to the target communication task and the target perception task.

[0119] Specifically, in one embodiment provided herein, target communication data and target perception data can be used to determine target communication feature data corresponding to a target communication task and target perception feature data corresponding to a target perception task. A corresponding communication report can then be generated based on the target communication feature data, and a corresponding perception report can be generated based on the target perception feature data. The communication report and the perception report can then be output as data analysis results.

[0120] Target communication characteristic data includes data throughput, transmission bit error rate, and signal quality indicators. Target perception characteristic data includes the location, speed, and motion trajectory of each perceived target. Communication reports indicate the communication performance of the integrated communication and perception system or platform, specifically including information such as communication link status and resource utilization. Perception reports indicate the motion characteristics of perceived targets, specifically including the number of perceived targets and the location, speed, and motion trajectory of each perceived target.

[0121] The above-mentioned specific data analysis methods and processes are not strictly limited in this application and can be flexibly set and selected according to actual needs and application scenarios. Through the above-mentioned data analysis process, a single communication perception integrated system can be used to efficiently and accurately analyze communication and perception analysis reports, significantly improving resource utilization efficiency and reducing hardware redundancy waste. The execution of the above-mentioned steps also significantly improves the accuracy and effectiveness of the data analysis results, providing a real and effective reference basis for subsequent related businesses based on the data analysis results.

[0122] In addition to the above, the embodiments of the present application can also flexibly adjust the communication and perception algorithms for each special application scenario to make them more suitable for the corresponding scenario, thereby improving the execution efficiency of the target communication tasks and perception tasks.

[0123] Specifically, taking the active antenna array unit as an example of the execution subject in the above embodiment, the following examples illustrate the real application scenarios of the technical solutions provided in two embodiments of the present application, namely low-altitude UAV monitoring and marine vessel detection.

[0124] In low-altitude drone monitoring scenarios, the aforementioned wide vertical angle design (±60°) can be used to ensure that the active antenna array effectively covers the low-altitude airspace directly above and around the active antenna array, where drones typically operate. Furthermore, specific performance indicators are set based on typical drone characteristics. For example, when the radar cross-section (RCS) is greater than 0.01 square meters, the detection range indicator can be set to 1 km.

[0125] In addition, in this scenario, when performing target perception tasks for low-altitude drones, a micro-motion target extraction algorithm can be used, specifically micro-Doppler analysis based on short-time Fourier transform (STFT), so as to accurately detect the signal characteristics of specific components of low-altitude drones (such as propellers), and at the same time, it also helps to detect and classify the corresponding types of low-altitude drones (such as rotary-wing drones and fixed-wing drones). The altitude angle resolution of less than 0.1° and the high speed resolution of less than 0.1m / s in the above embodiment can also significantly improve the detection accuracy of small targets similar to drones.

[0126] In the case of marine vessel detection, the aforementioned horizontal coverage range (±45°) and vertical coverage range (±60°) can be used to cover a large area of ocean where marine vessels are moving. Furthermore, targeted indicators have been set based on the characteristics of typical small marine vessels. For example, when the radar reflection area is greater than 4 square meters, the perception detection range indicator can be set to greater than 10 kilometers.

[0127] In addition, when performing target perception tasks for ocean vessels in this scenario, you can choose to use the Sea Clutter Suppression algorithm (Sea Clutter Suppression), which can be specifically achieved through adaptive filtering of the Amplitude and Phase Estimation of a Sinusoid (APES) to achieve interference suppression of no less than 40dB. Since sea surface reflections are generally extremely strong and change uncompensatedly, this optimized perception algorithm can greatly help in echo analysis for ships. Moreover, the setting of the above parameters can successfully achieve a detection distance of more than 10KM for similar ocean vessels, significantly improving the perception range in similar scenarios.

[0128] In addition to the above example scenarios and optimization algorithms, the technical solutions provided by the embodiments of this application can also be applied to other special scenarios and perform perception algorithm optimization similar to the above examples, such as the Doppler fuzzy decoupling algorithm, which can be flexibly set and adjusted according to actual needs and application scenarios. In addition to the two scenarios mentioned above, the embodiments of this application can also set corresponding communication and performance indicators for a variety of scenarios. Specific examples can be found in Table 1.

[0129] Table 1 is an example table of performance indicators provided in an embodiment of the present application.

[0130]

[0131] As shown in Table 1, for the aforementioned low-altitude drone and ocean vessel scenarios, the corresponding perception range indicators can be individually set based on the radar cross-sectional area. Other performance indicators can also be set, such as the multiple resolution and probability indicators shown in the table. By properly setting these indicators, the corresponding objectives of the data analysis process can be accurately determined. Furthermore, the parameters of the overall analysis process can be verified and adjusted based on the design indicators, providing a reference benchmark for the optimization and improvement of the integrated communication and perception system.

[0132] The above is the theoretical implementation process corresponding to the data analysis method provided in the embodiment of the present application. In addition, the technical solution provided in the embodiment of the present application can be applied to a communication perception integrated system composed of an active antenna array unit and other components. In addition to the active antenna array unit, the system can also include a clock synchronization unit, a signal transceiver unit, a digital signal processing unit, a time division multiplexing control unit, a power management unit and a communication interface. The specific composition of the system can be referred to Figure 4 As shown in .

[0133] Figure 4 A schematic structural diagram of a communication perception integration system provided for one embodiment of the present application.

[0134] Among them, 401 is an active antenna array unit, 402 is a clock synchronization unit, 403 is a signal transceiver unit, 404 is a digital signal processing unit, 405 is a time division multiplexing control unit, 406 is a communication interface and 407 is a power management unit.

[0135] like Figure 4 As shown in , the active antenna array unit 401 can first perform a hardware self-test upon power-up or restart to check the operating status of all system modules. After the self-test passes, system parameters are loaded, specifically by reading configuration parameters from non-volatile memory. The communication interface is then initialized to establish a communication link.

[0136] After the active antenna array unit 401 is started up, the digital signal processing unit 404 performs overall system initialization. This includes calibrating the transceiver channels, performing internal loopback testing, calibrating the phase and amplitude of each transceiver channel, synchronizing the clock via the clock synchronization unit 402 to provide a good foundation for the subsequent time-division multiplexing process, and loading the various algorithm models used in the subsequent communication and perception tasks. After initialization, all channel calibration errors can be reduced to less than 0.1dB and 0.1°, and clock synchronization accuracy can be reduced to less than 10ns.

[0137] After initialization is complete, the time division multiplexing control unit 405 can perform the subframe ratio allocation based on the task characteristic data mentioned in the above method. Then, the digital signal processing unit 404 simultaneously executes the target communication task and the target perception task according to the communication subframe ratio and the perception subframe ratio, and further determines the data analysis results based on the target communication data and the target perception data.

[0138] The data analysis results corresponding to the currently completed wireless frame can be output through the communication interface. At the same time, the time division multiplexing control unit 405 can determine the subframe allocation ratio corresponding to the next wireless frame, and then determine the data analysis results corresponding to the next wireless frame through the digital signal processing unit 404, and so on.

[0139] The system's clock synchronization unit 402, in addition to synchronizing the time of each module, primarily applies the self-transmission and self-reception parameters described in the aforementioned method. This self-transmission and self-reception technology effectively prevents signal transmission and reception errors due to interference during task execution, significantly improving the accuracy of target communication and perception data and their practicality during data analysis.

[0140] The above is the specific implementation method of the data analysis method provided in the embodiment of this application. The technical solution provided by the embodiment of this application can successfully realize the efficient collaboration of communication tasks and perception tasks, greatly improve resource utilization efficiency, and significantly reduce hardware redundancy.

[0141] In addition, the technical solution of the present application can accurately judge and adjust the proportion of subframes corresponding to communication and perception tasks according to task characteristics, enhance the coordination ability and flexibility of communication tasks and perception tasks when working together, and optimize resource allocation and system performance. The task execution process of the present application can be based on preset signal transceiver parameters, significantly reducing the problem of transceiver interference during the execution of the perception task, effectively improving the accuracy of the perception task execution process and perception task data, and thus significantly improving the accuracy and practicality of the data analysis results. Moreover, it is also possible to flexibly set performance indicators for specific application scenarios, optimize and adjust perception algorithms, and significantly improve the flexibility and practicality of data analysis methods.

[0142] Based on the data analysis method provided in the above embodiment, the present application also provides an embodiment of a data analysis device.

[0143] Figure 5 A structural diagram of a data analysis device provided in another embodiment of the present application.

[0144] like Figure 5 As shown, the embodiment of the present application further provides a data analysis device 500, which is applied to an electronic device. The data analysis device 500 includes:

[0145] A task feature determination module 501 is configured to determine communication task feature data corresponding to a target communication task and perception task feature data corresponding to a target perception task;

[0146] The subframe ratio determination module 502 is configured to determine the communication subframe ratio corresponding to the target communication task and the perception subframe ratio corresponding to the target perception task based on the communication task characteristic data and the perception task characteristic data;

[0147] A target data determination module 503 is configured to perform a target communication task and determine target communication data based on a communication subframe ratio and preset signal transceiver parameters, and to perform a target sensing task and determine target sensing data based on a sensing subframe ratio and preset signal transceiver parameters;

[0148] The synaesthesia data analysis module 504 is used to perform data analysis based on the target communication data and the target perception data to obtain data analysis results corresponding to the target communication task and the target perception task.

[0149] Optionally, the task feature determination module 501 includes:

[0150] Obtaining traffic data for target communication tasks and perception accuracy standards for target perception tasks;

[0151] Based on the business volume data, the communication business priority corresponding to the target communication task is determined as the communication task characteristic data, and based on the perception accuracy standard, the perception task accuracy requirement corresponding to the target perception task is determined as the perception task characteristic data.

[0152] Optionally, the subframe ratio determining module 502 includes:

[0153] Determining a communication ratio adjustment amplitude corresponding to a target communication task based on the communication task characteristic data, and determining a perception ratio adjustment amplitude corresponding to a target perception task based on the perception task characteristic data;

[0154] Proportionally adjusting a default subframe allocation ratio preset for a radio frame according to a communication ratio adjustment amplitude and a perception ratio adjustment amplitude to obtain an adjusted subframe allocation ratio, where the radio frame includes multiple subframes;

[0155] According to the adjusted subframe allocation ratio, the communication subframe ratio and the sensing subframe ratio are determined.

[0156] Optionally, the preset signal transceiver parameters include communication coding parameters, communication modulation parameters, beamforming parameters, signal transmission parameters, and data mediation parameters corresponding to the target communication task;

[0157] The target data determination module 503 includes:

[0158] Determine, based on the communication subframe ratio, a portion of the communication subframes in the wireless frame for executing the target communication task;

[0159] In some communication subframes, a communication signal corresponding to the target communication task is generated according to the communication coding parameters and the communication modulation parameters;

[0160] Performing beamforming optimization on the communication signal according to the beamforming parameters to obtain an optimized communication signal corresponding to the communication signal;

[0161] Sending the optimized communication signal to the user equipment according to the signal transmission parameters;

[0162] The user communication data returned by the user equipment according to the optimized communication signal is received, and the mediated communication data corresponding to the user communication data is determined according to the data mediation parameter as the target communication data.

[0163] Optionally, the preset signal transmission and reception parameters further include perception waveform parameters, beam scanning parameters, echo reception parameters, self-transmission and self-reception parameters, and perception detection parameters corresponding to the target perception task;

[0164] The target data determination module 503 includes:

[0165] Determining, according to the sensing subframe ratio, a portion of sensing subframes in the radio frame corresponding to executing the target sensing task;

[0166] In some perception subframes, a perception waveform corresponding to the target perception task is generated according to the perception waveform parameters;

[0167] Based on the sensing waveform, generating and transmitting sensing detection beams in multiple directions corresponding to the beam scanning parameters;

[0168] Receive echo signals corresponding to sensing detection beams in multiple directions according to echo reception parameters;

[0169] The echo signal is processed according to the self-transmitting and self-receiving parameters to obtain the processed echo signal data. The self-transmitting and self-receiving parameters include the RF switch high isolation parameter, noise reduction processing parameter, filter processing parameter, Doppler processing parameter, distance processing parameter and azimuth processing parameter;

[0170] According to the perception detection parameters and the processed echo signal data, the perception detection data is determined as the target perception data.

[0171] Optionally, the target data determination module 503 includes:

[0172] Filtering the echo signal using a preset filter according to the filtering processing parameters, and performing noise reduction processing on the filtered echo signal according to the noise reduction processing parameters to obtain a noise-reduced echo signal;

[0173] According to the Doppler processing parameters, the noise-reduced echo signal is subjected to Doppler processing to obtain the Doppler spectrum data corresponding to the echo signal;

[0174] According to the Doppler spectrum data, the distance processing parameters and the azimuth processing parameters, the target distance data and the target azimuth data corresponding to the echo signal are determined as the processed echo signal data.

[0175] Optionally, the synaesthesia data analysis module 504 includes:

[0176] Determine the target communication feature data corresponding to the target communication task based on the target communication data, and determine the target perception feature data corresponding to the target perception task based on the target perception data. The target communication feature data includes data throughput, transmission error rate, and signal quality indicators. The target perception feature data includes the position information, speed information, and motion trajectory information corresponding to each perception target.

[0177] Based on the target communication feature data, a communication report corresponding to the target communication task is generated, and based on the target perception feature data, a perception report corresponding to the target perception task is generated, and the communication report and the perception report are used as data analysis results.

[0178] It should be noted that the data analysis device 500 is a device corresponding to the above-mentioned data analysis method. All implementation methods in the above-mentioned method embodiments are applicable to the embodiments of the device and can achieve the same technical effects.

[0179] Figure 6 A schematic diagram of the hardware structure of a terminal device provided in yet another embodiment of the present application.

[0180] The terminal device may include a processor 601 and a memory 602 storing computer program instructions.

[0181] Specifically, the processor 601 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0182] The memory 602 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 602 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 602 may include removable or non-removable (or fixed) media. Where appropriate, the memory 602 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 602 is a non-volatile solid-state memory.

[0183] In certain embodiments, the memory 602 may include read-only memory (ROM), random access memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical / tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0184] The processor 601 implements any one of the data analysis methods in the above embodiments by reading and executing computer program instructions stored in the memory 602 .

[0185] In one example, the terminal device may further include a communication interface 603 and a bus 610. Figure 6 As shown, the processor 601, the memory 602, and the communication interface 603 are connected via a bus 610 and communicate with each other.

[0186] The communication interface 603 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0187] Bus 610 includes hardware, software or both, and the parts of online data flow metering equipment are coupled to each other. For example, but not limitation, bus can include accelerated graphics port (AGP) or other graphics bus, enhanced industry standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industry standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 610 can include one or more buses. Although the present application embodiment describes and shows specific bus, the application considers any suitable bus or interconnection.

[0188] In addition, in conjunction with the data analysis method in the above embodiments, embodiments of the present application may provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by a processor, any one of the data analysis methods in the above embodiments is implemented.

[0189] An embodiment of the present application also provides a computer program product, including a computer program, which implements any one of the data analysis methods in the above embodiments when the computer program is processed and executed.

[0190] It should be understood that the present application is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and illustrated as examples. However, the method process of the present application is not limited to the specific steps described and illustrated. Those skilled in the art can make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present application.

[0191] The functional blocks shown in the above block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. Programs or code segments can be stored in machine-readable media, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs (EROMs), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0192] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps. In other words, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0193] Aspects of the present disclosure have been described above with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data analysis device to produce a machine so that these instructions executed via the processor of the computer or other programmable data analysis device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit. It is also understood that each box in the block diagram and / or flowchart and the combination of the boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0194] The above is only a specific implementation method of the present application. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the scope of protection of the present application is not limited to this. Any technician familiar with this technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the scope of protection of this application.

Claims

1. A data analysis method, characterized in that: include: Determining communication task feature data corresponding to the target communication task and perception task feature data corresponding to the target perception task; Determining a communication subframe ratio corresponding to the target communication task and a perception subframe ratio corresponding to the target perception task based on the communication task characteristic data and the perception task characteristic data; Based on the communication subframe ratio and the preset signal transceiver parameters, the target communication task is executed to determine target communication data; and based on the perception subframe ratio and the preset signal transceiver parameters, the target perception task is executed to determine target perception data; Data analysis is performed based on the target communication data and the target perception data to obtain data analysis results corresponding to the target communication task and the target perception task.

2. The method according to claim 1, characterized in that Determining communication task feature data corresponding to the target communication task and perception task feature data corresponding to the target perception task includes: Acquiring traffic data of the target communication task and a perception accuracy standard of the target perception task; Based on the traffic volume data, the communication service priority corresponding to the target communication task is determined as the communication task characteristic data, and based on the perception accuracy standard, the perception task accuracy requirement corresponding to the target perception task is determined as the perception task characteristic data.

3. The method according to claim 1, characterized in that Determining, based on the communication task characteristic data and the perception task characteristic data, a communication subframe ratio corresponding to the target communication task and a perception subframe ratio corresponding to the target perception task, including: Determining a communication ratio adjustment amplitude corresponding to the target communication task based on the communication task characteristic data, and determining a perception ratio adjustment amplitude corresponding to the target perception task based on the perception task characteristic data; Proportionally adjusting a default subframe allocation ratio preset for a radio frame according to the communication ratio adjustment amplitude and the perception ratio adjustment amplitude to obtain an adjusted subframe allocation ratio, wherein the radio frame includes multiple subframes; The communication subframe ratio and the sensing subframe ratio are determined according to the adjusted subframe allocation ratio.

4. The method according to claim 1, wherein The preset signal transceiver parameters include communication coding parameters, communication modulation parameters, beamforming parameters, signal transmission parameters and data demodulation parameters corresponding to the target communication task; Executing the target communication task and determining target communication data based on the communication subframe ratio and preset signal transceiver parameters includes: Determining, according to the communication subframe ratio, a portion of communication subframes in a wireless frame for executing the target communication task; In the part of the communication subframes, generating a communication signal corresponding to the target communication task according to the communication coding parameters and the communication modulation parameters; performing beamforming optimization on the communication signal according to the beamforming parameters to obtain an optimized communication signal corresponding to the communication signal; sending the optimized communication signal to a user equipment according to the signal transmission parameters; The user communication data returned by the user equipment according to the optimized communication signal is received, and demodulated communication data corresponding to the user communication data is determined according to the data demodulation parameter as the target communication data.

5. The method according to claim 1, wherein The preset signal transmission and reception parameters further include perception waveform parameters, beam scanning parameters, echo reception parameters, self-transmission and self-reception parameters, and perception detection parameters corresponding to the target perception task; Executing the target perception task and determining target perception data based on the perception subframe ratio and the preset signal transceiver parameter includes: Determining, according to the sensing subframe ratio, a portion of sensing subframes in a radio frame for performing the target sensing task; generating, in the partial perception subframes, a perception waveform corresponding to the target perception task according to the perception waveform parameters; generating and transmitting sensing detection beams in a plurality of directions corresponding to the beam scanning parameters based on the sensing waveform; receiving, according to the echo reception parameters, echo signals corresponding to the sensing detection beams in the multiple directions; performing signal processing on the echo signal according to the self-transmitting and self-receiving parameters to obtain processed echo signal data, wherein the self-transmitting and self-receiving parameters include a radio frequency switch high isolation parameter, a noise reduction processing parameter, a filtering processing parameter, a Doppler processing parameter, a distance processing parameter, and an azimuth processing parameter; Perception detection data is determined according to the perception detection parameters and the processed echo signal data as the target perception data.

6. The method according to claim 5, characterized in that Performing signal processing on the echo signal according to the self-transmitting and self-receiving parameters to obtain processed echo signal data includes: Filtering the echo signal using a preset filter according to the filtering processing parameters, and performing noise reduction processing on the filtered echo signal according to the noise reduction processing parameters to obtain a noise-reduced echo signal; performing Doppler processing on the noise-reduced echo signal according to the Doppler processing parameters to obtain Doppler spectrum data corresponding to the echo signal; According to the Doppler spectrum data, the distance processing parameters, and the azimuth processing parameters, target distance data and target azimuth data corresponding to the echo signal are determined as the processed echo signal data.

7. The method according to claim 1, characterized in that Performing data analysis based on the target communication data and the target perception data to obtain data analysis results corresponding to the target communication task and the target perception task includes: Determining target communication feature data corresponding to the target communication task based on the target communication data, and determining target perception feature data corresponding to the target perception task based on the target perception data, wherein the target communication feature data includes data throughput, transmission bit error rate, and signal quality index, and the target perception feature data includes position information, speed information, and motion trajectory information corresponding to each perception target; Based on the target communication feature data, a communication report corresponding to the target communication task is generated, and based on the target perception feature data, a perception report corresponding to the target perception task is generated, and the communication report and the perception report are used as the data analysis results.

8. A data analysis device, characterized in that: include: A task feature determination module is used to determine communication task feature data corresponding to the target communication task and perception task feature data corresponding to the target perception task; a subframe ratio determination module, configured to determine the communication subframe ratio corresponding to the target communication task and the perception subframe ratio corresponding to the target perception task based on the communication task characteristic data and the perception task characteristic data; a target data determination module, configured to execute the target communication task and determine target communication data based on the communication subframe ratio and the preset signal transceiver parameters, and execute the target perception task and determine target perception data based on the perception subframe ratio and the preset signal transceiver parameters; The synaesthesia data analysis module is used to perform data analysis based on the target communication data and the target perception data to obtain data analysis results corresponding to the target communication task and the target perception task.

9. An electronic device, characterized in that: The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the data analysis method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the data analysis method according to any one of claims 1 to 7.

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