Multi-carrier modulation-based common-inductance integrated waveform design method and system

Abstract

The invention provides a multi-carrier modulation-based common-inductance integrated waveform design method and system, and belongs to the technical field of multi-carrier communication. The method comprises the following steps: constructing a mapping relationship between different service types and waveform parameters; determining a waveform parameter of the subcarrier according to the current service type and the performance index requirement corresponding to the service type, and adjusting the waveform parameter; determining the total number of subcarriers according to the network mode and the service type; performing state detection on the communication channel by taking the total number of the subcarriers as the maximum number of the subcarriers so as to adjust waveform parameters of the subcarriers; and based on the adjusted waveform parameters of the subcarriers, synthesizing a flux-inductance integrated waveform. According to the invention, analysis of communication and sensing tasks can be carried out at the same time based on the same hardware, and dynamic adjustment of subcarrier related parameters and number is realized so as to meet the requirements of different application scenarios on transmission waveforms.

Description

Technical Field

[0001] The present invention belongs to the technical field of multi - carrier communication, and particularly relates to a communication - sensing integrated waveform design method and system based on multi - carrier modulation. Background Technique

[0002] The statements in this part only provide background technical information related to the present invention and do not necessarily constitute prior art.

[0003] The rapid development of mobile communication technology has not only greatly improved the communication ability but also made it possible to apply sensing capabilities in the communication environment. With the integrated development of communication and sensing, a communication system can simultaneously perform two functions of communication and sensing, thereby providing various services such as data transmission and position measurement for different terminals. The communication - sensing integrated technology has emerged and gradually become an important technical factor driving the development of next - generation wireless network technology. With the expansion of the application of communication technology, the application scenarios of mobile communication gradually show a trend of diversification and complexity. The communication - sensing integrated technology not only provides high - quality wireless communication services but also enables the wireless network to have high - precision sensing capabilities. Therefore, it has broad application prospects in future communication / sensing scenarios.

[0004] In practical applications, the communication function uses an orthogonal frequency - division multiplexing waveform, and the sensing function uses a linear frequency - modulated waveform. The communication - sensing system first obtains independent communication and sensing waveforms and then superimposes the two to achieve an integrated waveform.

[0005] However, there are still some technical problems in the existing waveform design methods in the field of mobile communication, such as:

[0006] (1) In the existing waveform design method, on the premise of ensuring the orthogonality of the two waveforms, the communication waveform and the sensing waveform are superimposed in the time domain or the frequency domain to generate an integrated waveform. In order to generate the communication waveform and the radar waveform, the existing technology needs to use different hardware to generate the communication waveform and the radar waveform respectively. Therefore, there are problems of high hardware complexity and great difficulty in waveform optimization.

[0007] (2) In the existing waveform design method, in order to facilitate the superposition of the communication waveform and the sensing waveform in the time domain or the frequency domain, it is necessary to ensure the consistency of the waveforms as much as possible. Therefore, the communication waveform and the sensing waveform cannot be automatically adjusted, resulting in poor waveform plasticity and difficulty in meeting the requirements of different application scenarios for the transmission waveform. Summary of the Invention

[0008] To overcome the deficiencies of the above-mentioned existing technologies, the present invention provides a communication and sensing integrated waveform design method and system based on multi-carrier modulation, which can analyze communication and sensing tasks simultaneously based on the same hardware, and dynamically adjust the related parameters and quantity of sub-carriers to meet the requirements of different application scenarios for transmission waveforms.

[0009] To achieve the above object, one or more embodiments of the present invention provide the following technical solutions:

[0010] The first aspect of the present invention provides a communication and sensing integrated waveform design method based on multi-carrier modulation.

[0011] A communication and sensing integrated waveform design method based on multi-carrier modulation includes:

[0012] Determine the network mode to which the current communication in the communication system belongs;

[0013] Construct the mapping relationship between different service types and waveform parameters; at the same time, determine the waveform parameters of sub-carriers according to the current service type and the performance index requirements corresponding to this service type; encode, modulate the service data and perform inverse Fourier transform to form symbol data suitable for transmission on the physical channel; the service data includes data for performing communication services and sensing services.

[0014] According to the network mode and service type, dynamically adjust the total number of sub-carriers; use the total number of sub-carriers as the maximum number of sub-carriers, detect the state of the communication channel to dynamically adjust the waveform parameters of sub-carriers;

[0015] Based on the dynamically adjusted waveform parameters, fill the previously generated symbol data into the frame structure, set different cyclic prefix lengths, distribute the transformed data to different sub-carriers according to the adjusted number of sub-carriers, and set different sub-carrier powers, thereby synthesizing the communication and sensing integrated waveform.

[0016] Further, the network mode includes cellular network, Wi-Fi network and satellite communication network, the service type includes communication service and sensing service, and the performance indicators include delay and throughput.

[0017] Further, after determining the mapping relationship between different service types and waveform parameters, the same service type in different service ends adopts the same mapping relationship, that is: the sending end and the receiving end of the service in the communication system adopt the same mapping relationship.

[0018] Further, the waveform parameters include encoding method, modulation method, sub-carrier power, data frame structure, number of sub-carriers, cyclic prefix length and sub-carrier spacing.

[0019] Further, the state of the communication channel is detected based on the signal-to-noise ratio and the bit error rate.

[0020] Further, an initial period for detecting the state of the communication channel is set, and the state of the communication channel is detected within the set initial period; after each state detection period is completed, the detection period is updated, and then, the state is detected based on the updated detection period obtained; and so on in a cycle.

[0021] Further, when detecting the state of the communication channel, the power of the subcarriers is dynamically adjusted based on the power supply capacity of the communication system.

[0022] The second aspect of the present invention provides a communication-sensing integrated waveform design system based on multi-carrier modulation.

[0023] A communication-sensing integrated waveform design system based on multi-carrier modulation includes:

[0024] A network mode determination module, configured to: determine the network mode to which the current communication of the communication system belongs;

[0025] A subcarrier waveform parameter adjustment module, configured to: construct a mapping relationship between different service types and waveform parameters; at the same time, determine the waveform parameters of the subcarriers according to the current service type and the performance index requirements corresponding to the service type; encode, modulate the service data and perform an inverse Fourier transform to form symbol data suitable for transmission on the physical channel;

[0026] A state detection module, configured to: dynamically adjust the total number of subcarriers according to the network mode and the service type; use the total number of subcarriers as the maximum number of subcarriers to detect the state of the communication channel so as to dynamically adjust the waveform parameters;

[0027] An integrated waveform construction module, configured to: based on the dynamically adjusted waveform parameters, fill the symbol data generated previously into the frame structure, set different cyclic prefix lengths, allocate the transformed data to different subcarriers according to the adjusted number of subcarriers, and set different subcarrier powers, so as to synthesize a communication-sensing integrated waveform.

[0028] The third aspect of the present invention provides a computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, the steps in a communication-sensing integrated waveform design method as described in the first aspect of the present invention are implemented.

[0029] The fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored on the memory and executable on the processor, and when the processor executes the program, the steps in a communication-sensing integrated waveform design method as described in the first aspect of the present invention are implemented.

[0030] The above one or more technical solutions have the following beneficial effects:

[0031] (1) The present invention first constructs a mapping relationship between different service types and waveform parameters; at the same time, the waveform parameters of subcarriers are determined according to the current service type and the performance index requirements corresponding to this service type. That is, based on the same hardware facilities, communication and sensing are analyzed as two different service types, and the waveform parameters of subcarriers are dynamically adjusted by timing analysis of the requirements of communication and sensing tasks, so as to generate waveforms that meet communication and sensing. Therefore, the hardware complexity of the present invention is lower and it is easier to adjust and optimize the waveform.

[0032] (2) The present invention encodes, modulates the service data and performs inverse Fourier transform to form symbol data suitable for transmission on the physical channel; dynamically adjusts the total number of subcarriers according to the network mode and service type; uses the total number of subcarriers as the maximum number of subcarriers to detect the state of the communication channel to dynamically adjust the waveform parameters; finally, based on the waveform parameters such as the dynamically adjusted subcarrier power and the number of subcarriers, an integrated communication and sensing waveform is synthesized. Therefore, the present invention can realize the automatic adjustment of communication waveforms and sensing waveforms, and thus better meet the requirements of different application scenarios for transmission waveforms.

[0033] Advantages of additional aspects of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings forming a part of this specification are used to provide a further understanding of the present invention. The schematic embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation of the present invention.

[0035] Figure 1 It is a flowchart of a method for designing an integrated communication and sensing waveform based on multi-carrier modulation in Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0037] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0038] In the case of no conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0039] Overall idea proposed by the present invention: In order to analyze communication and sensing as two different service types on the same hardware facilities, based on the communication waveform, the present invention analyzes communication and sensing as two different service types, and dynamically adjusts the waveform parameters by real-time analyzing the requirements of communication and sensing tasks, so as to generate a communication and sensing integrated waveform.

[0040] Embodiment 1

[0041] This embodiment discloses a communication and sensing integrated waveform design method based on multi-carrier modulation.

[0042] As Figure 1 shown, a communication and sensing integrated waveform design method based on multi-carrier modulation includes:

[0043] Step S1: Determine the network mode to which the current communication of the communication system belongs;

[0044] Step S2: Construct the mapping relationship between different service types and waveform parameters; at the same time, determine the waveform parameters of sub-carriers according to the current service type and the performance index requirements corresponding to this service type; encode, modulate the service data and perform inverse Fourier transform to form symbol data suitable for transmission on the physical channel;

[0045] Step S3: Dynamically adjust the total number of sub-carriers according to the network mode and service type; take the total number of sub-carriers as the maximum number of sub-carriers, detect the state of the communication channel to dynamically adjust the waveform parameters;

[0046] Step S4: Based on the dynamically adjusted waveform parameters, fill the previously generated symbol data into the frame structure, set different cyclic prefix lengths, distribute the transformed data to different sub-carriers according to the adjusted number of sub-carriers, and set different sub-carrier powers, so as to synthesize the communication and sensing integrated waveform.

[0047] Based on the above steps, the present invention can analyze communication and sensing tasks simultaneously based on the same hardware, and realize the dynamic adjustment of sub-carrier related parameters and quantities to meet the requirements of transmission waveforms in different application scenarios. For the convenience of understanding the technical solution of the present invention, the specific implementation steps in the technical solution of the present invention will be further explained and described.

[0048] Step S1: Determine the network mode to which the current communication of the communication system belongs.

[0049] Determine the network mode to which the current communication of the communication system belongs. Specifically: Use AT commands of the 3GPP protocol to detect the network mode to which the current communication system belongs. First, query the network registration status. If registered, continue to query the type of the current network, so as to obtain the specific information of the current network, and obtain the current network mode from this information. Different network modes have different requirements for channels. According to the specific communication method of the communication system, in this embodiment, the network mode is divided into three types: cellular network, Wi-Fi network, and satellite communication network; among them, 3G network, 4G network, 5G network, etc. belong to the cellular network.

[0050] Step S2: Construct the mapping relationship between different service types and waveform parameters; at the same time, determine the waveform parameters of the subcarriers according to the current service type and the performance index requirements corresponding to this service type; encode, modulate the service data and perform inverse Fourier transform to form symbol data suitable for transmission on the physical channel.

[0051] Step S2-1: Construct the mapping relationship between different service types and waveform parameters.

[0052] In the actual implementation process, the service data sender and receiver determine the service priority according to the application scenario, adjust the waveform parameters, and realize the adaptation of the service application scenario.

[0053] Furthermore, regarding the adjustment of the number of subcarriers: When the sensing task is prioritized, increase the number of subcarriers of this service, thereby increasing the bandwidth of the sensing service and improving the accuracy of the sensing data; when the communication task is prioritized, increase the number of subcarriers of this service, thereby increasing the bandwidth of the communication service and improving the throughput of the communication data.

[0054] Furthermore, regarding the adjustment of the data frame structure: The data of the sensing service is loaded in the communication service data in a time-division multiplexing manner. By adjusting the time slot occupancy ratio of the sensing data in the entire frame structure, the throughput of the sensing data and the communication data is further changed.

[0055] Furthermore, regarding the adjustment of the coding method: When high-resolution sensing is required, use linear frequency modulation coding that occupies a higher bandwidth to create a waveform. When long-distance sensing is required, use frequency-modulated continuous wave coding method for the waveform. The communication service uses methods such as Turbo code or polar code to improve the transmission reliability.

[0056] Furthermore, regarding the adjustment of the modulation method: When the sensing task is prioritized, use frequency-modulated continuous wave debugging to improve the sensing performance; when the communication task is prioritized, use high-order modulation methods to improve the communication rate.

[0057] Furthermore, regarding the adjustment of the subcarrier power: High subcarrier power can improve the signal-to-noise ratio, reduce the bit error rate, enhance the signal propagation ability, and improve the accuracy of sensing;

[0058] Further, regarding the adjustment of the cyclic prefix length: A longer cyclic prefix can reduce inter-symbol interference and inter-carrier interference, improving the reliability of communication, but it will introduce false targets, thus affecting the accuracy of sensing;

[0059] Further, regarding the adjustment of the sub-carrier spacing: A larger sub-carrier spacing can reduce the inter-carrier interference caused by frequency errors, but it will affect the perceived accuracy; A smaller sub-carrier spacing can improve the accuracy of sensing, but has a weaker resistance to multipath.

[0060] Further, the service types include communication services and sensing services. The waveform parameters are a series of parameters that affect the waveform generation result, including coding method, modulation method, sub-carrier power, data frame structure, number of sub-carriers, cyclic prefix length, and sub-carrier spacing.

[0061] Furthermore, after determining the mapping relationship between different service types and waveform parameters, the same service type in different service ends adopts the same mapping relationship, that is: the sending end and the receiving end of the service in the communication system adopt the same mapping relationship. Thus, it can ensure that the receiving end accurately extracts the waveform data.

[0062] Step S2-2: Determine the waveform parameters of the sub-carrier according to the current service type and the performance index requirements corresponding to this service type.

[0063] According to the current service type and the performance index requirements corresponding to this service type, select from the waveform parameters, and use the selected waveform parameters as the waveform parameters of the sub-carrier. Specifically: including increasing the number of sub-carriers used for communication services, increasing the occupancy ratio of time slots in the data frame structure, using high-order modulation methods, adopting coding methods such as Turbo codes or polar codes, etc., so as to improve the performance index of communication services. Among them, the performance indexes include delay and throughput.

[0064] Step S2-3: Encode, modulate the service data and perform inverse Fourier transform to form symbol data suitable for transmission on the physical channel. Specifically:

[0065] Encode the service data: Use channel coding technology to encode the service data. The coding methods include convolutional coding, LDPC coding, etc., to improve the reliability of data transmission;

[0066] Modulate the encoded data: Use modulation methods such as BPSK, QPSK, etc. to modulate the communication service data, and use linear frequency modulation (LFM) signals to modulate the sensing service data;

[0067] Perform inverse Fourier transform processing on the modulated signal to form symbols suitable for transmission over the physical channel. Use the data after the obtained inverse Fourier transform as the data of the dynamically adjusted subcarriers.

[0068] Step S3: Dynamically adjust the total number of subcarriers according to the network mode and service type; use the total number of subcarriers as the maximum number of subcarriers, and perform a state detection on the communication channel to dynamically adjust the waveform parameters of the subcarriers.

[0069] Step S3-1: Dynamically adjust the total number of subcarriers according to the network mode and service type.

[0070] The network mode specifies the maximum number of subcarriers to meet the requirements of different services. By determining the total number of subcarriers, it helps to find a balance between the data transmission rate and the spectrum utilization efficiency. In different application scenarios, the subcarrier spacing candidates have different advantages; according to the service type, adjust the number of subcarriers occupied by different services. Use a part of the total subcarriers for communication, and the remaining subcarriers for sensing. According to the priority of the service type, allocate different numbers of subcarriers to different services. Specifically:

[0071] When in a scenario with high requirements for the performance of the sensing service, increase the number of subcarriers for the sensing function; when in a scenario with high requirements for the performance of the communication service, increase the number of subcarriers for the sensing function; the sum of the above two numbers of subcarriers is less than or equal to the total number of the maximum subcarriers.

[0072] Step S3-2: Use the total number of subcarriers as the maximum number of subcarriers, and perform a state detection on the communication channel to dynamically adjust the waveform parameters of the subcarriers.

[0073] First, perform a state detection on the communication channel based on the signal-to-noise ratio and the bit error rate. According to the measurement results of the signal-to-noise ratio and the bit error rate, divide the channel state into the following four states: Good state: high signal-to-noise ratio and low bit error rate. In this state, the signal transmission quality is high, the data transmission is reliable, and it is suitable for performing high-speed service data transmission; Medium state: both the signal-to-noise ratio and the bit error rate are moderate. In this state, the signal transmission quality is average, and there may be a certain number of bit errors. It is suitable for the transmission of medium-rate service data; Poor state: low signal-to-noise ratio and high bit error rate. In this state, the signal transmission quality is poor, and there are many bit errors. It is necessary to reduce the data rate and is suitable for the transmission of low-speed service data; Extremely poor state: extremely low signal-to-noise ratio and extremely high bit error rate. In this state, the signal cannot be correctly transmitted, and it is necessary to reselect the channel or adjust the transmit power. Subsequently, dynamically adjust the waveform parameters of the subcarriers based on the feedback results of the signal-to-noise ratio and the bit error rate.

[0074] Before performing state detection on a communication channel, an initial period for state detection of the communication channel is set, and state detection of the communication channel is performed within the set initial period; in a detection period, this waveform generation method will detect the channel states of the transmitter and receiver to determine whether the waveform parameter settings are appropriate. After each state detection period is completed, the detection period is updated, and then, state detection is performed based on the obtained updated detection period; this process repeats in a cycle. Channel state parameters are detected within the detection period to judge the communication quality of the current channel; since the signal-to-noise ratio and bit error rate can reflect the performance and reliability of a wireless channel and feedback the communication quality of the channel, in this embodiment, parameters such as the signal-to-noise ratio and bit error rate are mainly used as channel state parameters. By calculating the signal-to-noise ratio and bit error rate, the cyclic prefix length, carrier spacing, and power of subcarriers are adjusted until the bit error rate is reduced to within the range of the bit error rate reference value; different communication systems and application scenarios have different requirements for the bit error rate, and the corresponding bit error rate reference values are also different. In this embodiment, by dynamically adjusting the detection period (each detection period is a time span), the bit error rate is used as the main basis for adjusting the channel state detection period threshold. When the bit error rate continues to decrease, the detection threshold is shortened to increase the channel state detection frequency; when the bit error rate is within the range of the bit error rate reference value, the detection threshold is appropriately reduced to decrease the channel state detection frequency and reduce the computational workload of the system.

[0075] Regarding the power of subcarriers, when performing state detection on a communication channel, the power of subcarriers is dynamically adjusted based on the power supply capacity of the communication system. To ensure that the total power used for the system bandwidth does not exceed the maximum power that the communication system can currently provide, in this embodiment, the carrier bandwidth allocated to this user is determined according to the power that the system can currently provide, the communication quality requirements of the user, and the current channel state parameters. Specifically: when the power that the system can provide increases, the number of subcarriers used by this user is increased to increase the bandwidth of this user; when the power that the system can provide remains unchanged, the number of subcarriers used by this user is maintained; when the power that the system can provide decreases, the number of subcarriers used by this user is decreased to reduce the bandwidth of this user; the above number of subcarriers is the maximum number of subcarriers that the system can provide.

[0076] Construct a mapping relationship between the communication waveform cyclic prefix length and the bit error rate for the waveform cyclic prefix length; in different bit error rate intervals, set different cyclic prefix lengths, and adjust the cyclic prefix length used in the next communication according to the detected bit error rate. Specifically, establish delay historical data by continuously measuring the delay characteristics of the channel for a long time; adjust the length of the cyclic prefix according to the real-time channel conditions, and select a cyclic prefix length greater than the maximum delay spread from the historical data; when the channel conditions are poor, increase the cyclic prefix length to reduce the bit error rate of service data; when the channel conditions are good, reduce the cyclic prefix length to improve the spectral efficiency and increase the throughput of service data.

[0077] For the subcarrier spacing, ensure that the result of multiplying the subcarrier spacing by the cyclic prefix length is less than 1. In the case of an increase in the bit error rate, adjust the subcarrier spacing in a certain step until the bit error rate drops to the previous bit error rate interval. It should be noted that in a mobile communication system, the product of the subcarrier spacing and the cyclic prefix length is usually less than 1. The design here in this embodiment can ensure that when adjusting the subcarrier spacing, the two still meet the requirements of mobile communication signal transmission.

[0078] A method for designing a communication and sensing integrated waveform based on multi-carrier modulation provided by the present invention is a waveform generation method that dynamically adjusts the communication parameters of subcarriers based on the requirements of communication and sensing tasks. By establishing a mapping relationship between service types and waveform parameters and dynamically adjusting the number of available subcarriers and subcarrier waveform parameters through timed channel detection and other steps, automatic adjustment of waveform parameters in different service scenarios is achieved. At the same time, this method can be deployed and applied on general hardware modules, effectively reducing the hardware deployment cost; moreover, this method is also applicable to the generation of waveforms in single-service scenarios and can flexibly adapt to different network application scenarios.

[0079] Embodiment 2

[0080] This embodiment discloses a communication and sensing integrated waveform design system based on multi-carrier modulation.

[0081] A communication and sensing integrated waveform design system based on multi-carrier modulation includes:

[0082] A network mode determination module, configured to: determine the network mode to which the current communication of the communication system belongs;

[0083] A subcarrier waveform parameter adjustment module, configured to: construct a mapping relationship between different service types and waveform parameters; at the same time, determine the waveform parameters of subcarriers according to the current service type and the performance index requirements corresponding to this service type; encode, modulate service data and perform an inverse Fourier transform to form symbol data suitable for transmission on a physical channel;

[0084] The status detection module is configured to: dynamically adjust the total number of subcarriers according to the network mode and service type; use the total number of subcarriers as the maximum number of subcarriers to perform status detection on the communication channel, so as to dynamically adjust the waveform parameters of the subcarriers.

[0085] The integrated waveform construction module is configured to: synthesize the integrated communication and sensing waveform based on the dynamically adjusted waveform parameters of the subcarriers.

[0086] Embodiment III

[0087] The purpose of this embodiment is to provide a computer-readable storage medium.

[0088] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the steps in a method for designing an integrated communication and sensing waveform based on multi-carrier modulation as described in Embodiment I of the present disclosure.

[0089] Embodiment IV

[0090] The purpose of this embodiment is to provide an electronic device.

[0091] An electronic device, including a memory, a processor, and a program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps in a method for designing an integrated communication and sensing waveform based on multi-carrier modulation as described in Embodiment I of the present disclosure.

[0092] The steps involved in the devices in Embodiments II, III, and IV above correspond to those in Method Embodiment I. For specific implementation manners, reference may be made to the relevant description part of Embodiment I. The term "computer-readable storage medium" should be understood to include a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode, or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0093] Those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented by a general-purpose computer device. Optionally, they can be implemented by program codes executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0094] Although the specific implementation manners of the present invention are described above in conjunction with the accompanying drawings, it is not a limitation to the protection scope of the present invention. Those skilled in the art should understand that, based on the technical solutions of the present invention, various modifications or deformations that can be made by those skilled in the art without creative efforts are still within the protection scope of the present invention.

Claims

1. A synaesthesia integrated waveform design method based on multi-carrier modulation, characterized in that: include: Determine the network mode to which the current communication of the communication system belongs; Construct mapping relationships between different service types and waveform parameters; At the same time, the waveform parameters of the subcarrier are determined according to the current service type and the performance indicator requirements corresponding to the service type; the service data is encoded, modulated and inverse Fourier transformed to form symbol data suitable for transmission on the physical channel; According to the network mode and service type, dynamically adjust the total number of subcarriers; use the total number of subcarriers as the maximum number of subcarriers, perform state detection on the communication channel, and dynamically adjust the waveform parameters of the subcarriers; Based on the waveform parameters of the dynamically adjusted subcarriers, a synaesthesia integrated waveform is synthesized.

2. The synaesthesia integrated waveform design method based on multi-carrier modulation as claimed in claim 1, characterized in that: The network modes include cellular networks, Wi-Fi networks and satellite communication networks, the service types include communication services and perception services, and the performance indicators include latency and throughput.

3. The synaesthesia integrated waveform design method based on multi-carrier modulation as claimed in claim 1, characterized in that: After the mapping relationship between different service types and waveform parameters is determined, the same service type in different service ends adopts the same mapping relationship, that is, the sending end and the receiving end of the service in the communication system adopt the same mapping relationship.

4. The synaesthesia integrated waveform design method based on multi-carrier modulation according to claim 1, characterized in that: The waveform parameters include coding mode, modulation mode, subcarrier power, data frame structure, number of subcarriers, cyclic prefix length and subcarrier spacing.

5. The synaesthesia integrated waveform design method based on multi-carrier modulation according to claim 1, characterized in that: The communication channel status is detected based on the signal-to-noise ratio and bit error rate.

6. The synaesthesia integrated waveform design method based on multi-carrier modulation as claimed in claim 5, characterized in that: An initial period for status detection of the communication channel is set, and the status detection of the communication channel is performed within the set initial period; after each status detection period is completed, the detection period is updated, and then the status detection is performed based on the updated detection period; and the cycle is repeated.

7. The synaesthesia integrated waveform design method based on multi-carrier modulation according to claim 1, characterized in that: When the communication channel is detected, the power of the subcarrier is dynamically adjusted based on the power provision capability of the communication system.

8. A synaesthesia integrated waveform design system based on multi-carrier modulation, characterized in that: include: The network mode determination module is configured to: determine the network mode to which the current communication of the communication system belongs; The subcarrier waveform parameter adjustment module is configured to: construct a mapping relationship between different service types and waveform parameters; at the same time, determine the waveform parameters of the subcarrier according to the current service type and the performance indicator requirements corresponding to the service type; encode, modulate and perform inverse Fourier transform on the service data to form symbol data suitable for transmission on the physical channel; The state detection module is configured to: dynamically adjust the total number of subcarriers according to the network mode and service type; use the total number of subcarriers as the maximum number of subcarriers, perform state detection on the communication channel, and dynamically adjust the waveform parameters of the subcarriers; The integrated waveform construction module is configured to synthesize a synaesthesia integrated waveform based on the waveform parameters of the subcarriers after dynamic adjustment.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps of the synaesthesia integrated waveform design method based on multi-carrier modulation as described in any one of claims 1 to 7 are implemented.

10. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the synaesthesia integrated waveform design method based on multi-carrier modulation as described in any one of claims 1-7 are implemented.

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