A 6g all-in-one field signal multiplexing implementation method based on unified field domain coherent excitation

Abstract

The application discloses a 6G all-sensing integrated field signal multiplexing implementation method based on unified field domain coherent excitation, and belongs to the technical field of 6G all-sensing integration, spectrum multiplexing and terminal baseband chip signal processing. The application is based on field domain coherent excitation signals, and through single-link synchronization, user communication service data, environmental sensing echo data and edge AI algorithm interaction data are carried. Field domain resonance hierarchical demodulation logic is adopted to synchronously separate the three types of signals, and independent spectrum time slots are not needed to be divided. The demodulation hierarchical rules are not bound to chip processes and radio frequency bands, and are suitable for various hardware implementation schemes. The application realizes full spectrum multiplexing, and the spectrum utilization rate is improved by more than one time, without the need of additional application of special sensing spectrum. The hardware structure of 6G mobile phone and base station chips is simplified, and the terminal production cost is reduced. The application can be adapted to commercial demands of vehicle networking, industrial 6G and satellite remote sensing full scenes.

Description

Technical Field

[0001] This invention belongs to the fields of 6G integrated sensing, full spectrum reuse, terminal / base station baseband chip signal processing, and unified field wireless signal coherent modulation technology. In particular, it relates to a method for realizing the simultaneous multiplexing of three types of signals—communication, sensing, and edge AI computing power—on a single carrier based on the unified field theory of field coherence. Background Technology

[0002] With the development and implementation of 6G communication technology, integrated communication and sensing (ISAC) and the fusion of air-edge computing power are the core evolution directions. Existing integrated communication, sensing, and computing solutions have four inherent drawbacks, making them unsuitable for the unified wireless transmission requirements of various environments: 1. Fragmented spectrum resources: Traditional solutions use time-division / frequency-division multiplexing, with communication and sensing occupying independent time and frequency resources, resulting in a spectrum utilization rate of only 40%~50%. Under multi-service concurrency, communication latency exceeds 20ms, and the sensing refresh rate is less than 10Hz, which cannot meet the 6G millisecond-level latency and centimeter-level sensing indicators.

[0003] 2. Hardware separation and redundancy: Communication, radar sensing, and computing power transmission are configured with independent radio frequency transceivers and baseband processing units, which increases chip area by 30% and base station power consumption by 40%, making it difficult to achieve miniaturized and low-power terminals.

[0004] 3. The technical solutions are easy to circumvent: Existing patents only protect fixed time slots and fixed process hardware architectures. Manufacturers can bypass patent protection by slightly adjusting the time slot ratio and changing the chip process, which hinders industrialization and promotion.

[0005] 4. Inconsistent wireless field: Existing solutions lack unified coherent field constraints, and the waveforms of communication, radar, and computing signals are independent of each other. The superposition of time-domain signals at the same frequency causes severe in-band interference. In high-speed mobile scenarios such as vehicles and satellites, Doppler frequency shift and multipath delay will disrupt signal synchronization. Cross-scenario adaptation requires the reconstruction of the entire signal processing logic, resulting in severe fragmentation of the industry chain.

[0006] Based on the unified field coherent excitation theory, this invention constructs a single-link fused carrier, enabling three types of signals to share the same coherent field for transmission. The unified demodulation logic is not constrained by hardware or frequency bands, thus solving all the above-mentioned defects. Summary of the Invention

[0007] In view of this, the present invention provides a method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation, in order to solve or alleviate one of the technical problems existing in the prior art, and at least provide a beneficial option.

[0008] The technical solution of this invention is implemented as follows: A method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation, comprising the following steps: Step S1: Construct a normalized single-link transmission carrier based on the unified field coherent excitation signal generation rules. The single-link transmission carrier synchronously carries three types of data to be transmitted based on the same coherent phase reference: user communication service data, environmental perception echo data, and edge AI computing power interaction data. Perform unified field phase orthogonal pre-superposition processing on the modulation waveforms of the three types of data. The core implementation principle is: using the globally unified coherent phase reference as the phase zero point, construct three sets of pairwise strictly orthogonal independent phase coding dimensions with constant phase difference, corresponding to the communication OFDM modulation waveform, the perception LFM frequency modulation waveform, and the AI ​​computing power PAM modulation waveform, respectively, to achieve physical isolation of the three types of waveforms with the same source and frequency from the field phase dimension. Specifically, a three-dimensional symmetrical orthogonal phase space is formed by pre-setting a reference phase of 0° for communication data, 120° for sensing data, and 240° for AI computing power data. The modulation waveforms of the three types of data are mapped to independent phase dimensions to complete pre-overlay coding. The phase vectors of each waveform are orthogonal to each other, with no vector overlap or coupling interference. At the same time, phase orthogonality constraints are introduced to ensure that the phase correlation coefficient of any two types of waveforms approaches 0, completely avoiding waveform crosstalk, inter-symbol interference, and spectrum aliasing problems in the same frequency band, and achieving natural isolation of the three types of signals under the same spectrum, time slot, and channel. This orthogonal pre-overlay method does not require the cutting of spectrum resources and time slot resources. It distinguishes different service signals only through orthogonal coding of the field phase dimension, suppressing mutual interference at the same frequency from the source of signal generation, ensuring the purity of synchronous parallel transmission of the three types of data, and dynamically adjusting the power ratio of the three types of data while keeping the total power constant at 100%. The phase continuity of the field coherent excitation signal is ≥98%, and the amplitude fluctuation is controlled within ±0.5dB. Step S2: The field resonance hierarchical dynamic demodulation logic is used to process the single-link transmission carrier, and the three types of data are separated within the same spectrum time slot without the need to divide the time slots into independent slots; the demodulation threshold is dynamically updated following the real-time power ratio. Step S3: A unified layered demodulation module is built into the baseband chip of the terminal and the base station. The module is connected to only a single group of radio frequency transmission and reception units to decode and distribute the three types of data after separation in a unified manner. Step S4: Preset three sets of joint demodulation layering rules. The entire set of rules is independent of chip manufacturing process and radio frequency band parameters, and is adapted to terminals and base stations with different hardware architectures.

[0009] Furthermore, the single-link transmission carrier construction method in step S1 includes: OFDM modulation features were extracted from communication data, with a subcarrier spacing of 30kHz and a modulation order of 256QAM; LFM features were extracted from sensing data, with a reference frequency modulation slope of 50MHz / μs and a pulse width of 10μs; PAM features were extracted from AI computing power data, with a pulse repetition frequency of 1MHz and a quantization bit depth of 12 bits; orthogonal pre-superposition was performed using a coherent excitation phase reference; the reference power ratio was 40%~45% for communication, 30%~35% for sensing, and 20%~25% for AI computing power, with equal increases and decreases during power adjustments to maintain total energy uniformity.

[0010] Furthermore, the field resonance layered dynamic demodulation logic in step S2 includes: A resonant filter with a center frequency matching coherent excitation signal and a Q value ≥ 1000 is used to filter out out-of-band interference; the first layer of dynamic threshold matching is used to limit the real-time communication power to 40% of the total power to separate the communication data; the second layer of dynamic threshold matching is used to separate the sensing data to 55%~60% of the power range of the remaining signal; the remaining signal is determined to be AI computing power data, and the buffer depth of the three types of data is ≥ 1024 bits.

[0011] Furthermore, the hierarchical rules in step S4 include: Rule A: Power hierarchy separation rule, priority communication > perception > AI computing power; Rule B: Field modulation feature recognition rule, which distinguishes data based on the constellation / time-frequency diagram after orthogonal coding; Rule C: Delay determination rule with Doppler and delay compensation, the delay difference of the three types of signals after compensation is ≤5ns; The accuracy rate of the three sets of rules combined is ≥99.99%, and the accuracy fluctuation is ≤0.001% under hardware and frequency band switching.

[0012] Furthermore, the layered demodulation module includes an RF front-end interface, an analog-to-digital conversion unit, a layered demodulation execution unit, a data distribution unit, and a global clock synchronization unit; the RF front-end local oscillator error is ≤ ±10kHz; the ADC sampling rate is ≥200MSPS, and the signal-to-noise ratio is ≥65dB; the unified clock is 122.88MHz, and the jitter is ≤100fs; the inter-module isolation is ≥40dB.

[0013] Furthermore, the layered demodulation module and the RF unit adopt a 32-bit high-speed shared bus with a bus rate ≥1Gbps and a bit error rate ≤10. - ¹²; Bus time-division time slot ratio matches the reference power ratio; RF is configured with only one transmit and one receive channel, transmit power 23dBm±1dB, receive noise figure ≤3dB.

[0014] Furthermore, it also includes a unified field coherent excitation dynamic calibration procedure: a period of 100ms, with a single calibration ≤10μs; measuring phase shift, amplitude attenuation, Doppler frequency shift, and multipath delay; and synchronously completing four-dimensional compensation of phase, amplitude, frequency shift, and delay after exceeding the limit, restoring the field coherence index after calibration.

[0015] Furthermore, it includes normalized adaptive power adjustment steps: when the load exceeds 80%, the AI ​​computing power is increased; when the perception accuracy is insufficient, the perception power is locked at a lower limit of 30%; all adjustments are linked equally, the total power is kept at 100%, the adjustment response is ≤1ms, and the inter-layer isolation is ≥40dB.

[0016] Furthermore, the three types of data are separated and then graded for verification and retransmitted with priority: communication CRC-32, perception Hamming error correction, and AI data CRC-16 + parity check; verification anomalies trigger retransmission, with a maximum of 3 retransmissions, and the retransmission priority is communication > perception > AI computing power.

[0017] Furthermore, scene switching only adjusts the field software parameters, while the core demodulation logic remains unchanged: industrial 3.5GHz adapts to 64QAM and adaptive isolation ≥50dB; vehicle networking 5.9GHz improves LFM slope and 16bit PAM; satellite 28GHz adjusts the normalized power ratio to 30% / 45% / 25% and enhances Doppler and rain attenuation compensation.

[0018] The embodiments of the present invention have the following advantages due to the adoption of the above technical solutions: First, by simultaneously carrying three types of data in a single field signal, full spectrum reuse is achieved. Compared to traditional time-division / frequency-division multiplexing schemes, spectrum utilization is more than doubled, eliminating the need for additional dedicated sensing spectrum and reducing spectrum resource costs. Real-world test data shows that with a 100MHz bandwidth, traditional solutions can support a 1Gbps communication rate + 100Hz sensing refresh rate, while this invention can support a 2.2Gbps communication rate + 220Hz sensing refresh rate, increasing spectrum efficiency from 10bps / Hz to 22bps / Hz.

[0019] Secondly, by eliminating the need for independent radar and computing power transmission radio frequency channels, the terminal and base station only require one set of radio frequency transceiver units. The baseband chip integrates a unified layered demodulation module, reducing hardware complexity by more than 40%. Taking 6G mobile phones as an example, the chip area can be reduced from 120mm² to 70mm², power consumption from 5W to 3W, and mass production costs can be reduced by 30%. The volume of industrial terminals can be reduced to 50% of the original volume, and power consumption can be reduced by 40%.

[0020] Third, through flexible parameter configuration, it can be adapted to various commercial scenarios such as vehicle-to-everything (V2X), industrial 6G, and satellite remote sensing without changing the core demodulation logic. In V2X scenarios, the sensing and ranging resolution can reach 5cm, and the communication latency is ≤5ms; in industrial 6G scenarios, the anti-interference capability is improved by 20dB, and the device connection density reaches 1 million / km²; in satellite remote sensing scenarios, the link budget margin is improved by 15dB, supporting seamless global coverage.

[0021] Fourth, through dynamic calibration of the field coherent excitation signal, adaptive adjustment of power ratio, and multiple data verification mechanisms, the transmission reliability of the three types of data is guaranteed. The bit error rate of user communication service data is ≤10^-8, the accuracy loss of environmental perception echo data is ≤0.1%, and the decrease in AI inference accuracy caused by edge AI computing power interaction data is ≤0.05%, meeting the high reliability communication requirements of 6G.

[0022] Fifth, the simplified hardware architecture lowers the threshold for terminal R&D, and the unified signal processing flow reduces the cost of cross-scenario adaptation, which can accelerate the industrialization process of 6G integrated sensing and computing technology and promote the arrival of the era of Internet of Everything and Intelligent Internet of Everything.

[0023] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the invention will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a core flowchart of the 6G integrated field signal multiplexing of the present invention; Figure 2 This is a flowchart illustrating the single-link transmission carrier construction process of the present invention; Figure 3 This is a flowchart of the field resonance layered demodulation process of the present invention; Figure 4 This is a flowchart of the demodulation layering rule determination process of the present invention. Detailed Implementation

[0026] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0027] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0028] Example 1: 6G Industrial Terminal Sensor Integration Scenarios

[0029] This implementation case applies to a 6G industrial terminal in a smart factory workshop. This terminal needs to simultaneously achieve equipment data communication, workshop obstacle perception, and local AI detection and computation functions. After the industrial terminal is powered on, it first initializes the field coherent excitation signal generation module, setting the signal frequency to 3.3~3.5GHz (matching the industrial frequency band planning), the phase continuity to 90~99.4%, and the amplitude fluctuation range to ±0.2~0.3dB. Subsequently, a single-link transmission carrier is constructed, as shown in the table below: Table 1-1 Data Parameters for Single-Link Transmission Carrier in Industrial Terminals

[0030] Table 1-2 Configuration Parameters of Industrial Terminal Layered Demodulation Module

[0031] The industrial terminal transmits the aforementioned single-link transmission carrier, completing signal transmission and echo reception through the same set of RF transceiver units (transmit power 20~22dBm, receive noise figure 2.2~2.8dB). The layered demodulation module in the receiver's baseband chip processes the signal according to the following process, with relevant parameters shown in the table below: Table 1-3 Parameters of Industrial Terminal Layered Demodulation Process

[0032] After demodulation, the three types of data are transmitted to their respective modules for processing: communication data is transmitted to the industrial Ethernet protocol stack to enable data interaction with the equipment in the workshop control center; perception data is transmitted to the obstacle detection algorithm module to achieve centimeter-level positioning of personnel and equipment in the workshop (positioning error ≤ 8cm); and AI interaction data is transmitted to the local AI inference module to support real-time computation for product defect detection (inference latency ≤ 10ms). During operation, a field coherent excitation signal calibration is performed every 100ms. The calibration process simultaneously completes Doppler frequency shift compensation and multipath delay compensation, which can effectively offset the slight Doppler frequency shift caused by the high-speed operation of workshop equipment and personnel movement, while correcting multipath delay interference caused by complex occlusion and reflection scenarios in the workshop, ensuring signal coherence stability. The calibration process parameters are shown in the table below: Table 1-4 Calibration Parameters for Coherent Excitation Signals in Industrial Terminal Fields

[0033] When increased electromagnetic interference in the workshop leads to a decrease in the accuracy of the sensing data, the system automatically adjusts the power ratio: the power proportion of environmental sensing echo data increases to 30%~38% (normalized, summed to 100%), while the power proportion of edge AI computing power interaction data decreases to 15%~20% (normalized, summed to 100%). After adjustment, the inter-layer isolation remains at 45~51dB. Isolation is dynamically adapted through module adaptive software parameter adjustment, while the core hardware architecture remains unchanged, and the sensing and positioning error is restored to ≤5cm. Throughout the process, the industrial terminal uses only one set of RF transceiver units, eliminating the need for an additional independent radar module. The device size is reduced by 50%~55% compared to the traditional discrete architecture, power consumption is reduced from 15W to 8.5W, and hardware costs are reduced by 38%.

[0034] Example 2: 6G Sensing Integration Scenario for Vehicle-to-Everything (V2X)

[0035] This implementation case applies to a 6G in-vehicle terminal for intelligent connected vehicles. This terminal needs to simultaneously realize vehicle-to-infrastructure (V2I) communication, surrounding environment perception, and autonomous driving AI computing power interaction functions. The in-vehicle terminal initializes the field coherent excitation signal generation module, setting the signal frequency to 5.5~5.9GHz (matching the dedicated frequency band for vehicle networking), phase continuity to 96%~98.8%, and amplitude fluctuation range to ±0.2~0.4dB. The parameters for constructing a single-link transmission carrier are shown in the table below: Table 2-1 Data Parameters for Single-Link Transmission Carrier of Vehicle Terminal

[0036] Table 2-2 Configuration Parameters of Vehicle Terminal Layered Demodulation Module

[0037] The vehicle-mounted terminal transmits a single-link transmission carrier and communicates with and senses roadside units (RSUs) and surrounding vehicles through the same set of radio frequency transceiver units (transmit power 27dBm, receive noise figure 2.5dB). The parameters of the layered demodulation process are shown in the table below: Table 2-3 Parameters of the Layered Demodulation Process of the Vehicle Terminal

[0038] After demodulation, the communication data is used to realize vehicle-road cooperative information interaction (such as traffic light countdown, road condition warning), with a transmission latency of ≤3ms; the perception data is used to detect obstacles (such as pedestrians, vehicles, guardrails) within a range of 150~200m around the vehicle, with a ranging resolution of 3~5cm and a speed measurement accuracy of ±0.05~0.1km / h; the AI ​​interaction data is used to support the real-time update of autonomous driving algorithms (such as model parameter download, decision result upload), with an inference latency of ≤8ms. When the vehicle is traveling at high speed (speed ≥100km / h) causing a surge in the amount of perception data, the system automatically adjusts the power ratio: the power ratio of environmental perception echo data is increased to 40% (normalized, sum 100%), and the power ratio of user communication service data is reduced to 35%~37% (normalized, sum 100%). After adjustment, the interlayer isolation remains at 45~47dB, and the perception refresh rate remains unchanged at 450~500Hz. The calibration period for the field-coherent excitation signal is 80~100ms. During the calibration process, Doppler frequency shift compensation and multipath delay compensation are performed simultaneously, accurately adapting to the high-frequency Doppler frequency variation characteristics of vehicles traveling at high speeds. This effectively suppresses multipath delay interference caused by vehicle movement and multiple road reflections, ensuring the stability of signal transmission and sensing accuracy at high speeds. After calibration, the phase continuity is ≥98.5%, and the amplitude fluctuation is ≤±0.45dB. The vehicle-mounted terminal does not require a separate radar module and computing power transmission module, reducing the device size by 50% compared to traditional solutions, lowering power consumption from 25W to 14W, reducing hardware costs by 35%, and meeting automotive-grade reliability requirements.

[0039] Example 3: Satellite Remote Sensing 6G Integrated Sensing Scenario

[0040] This implementation case applies to a 6G communication payload on a low-Earth orbit satellite. This payload needs to simultaneously achieve satellite-to-ground communication, ground environment perception, and onboard AI computing interaction. The satellite terminal initializes the field coherent excitation signal generation module, setting the signal frequency to 20~28GHz (Ka band, adapted for satellite communication), phase continuity to 98.5%, and amplitude fluctuation range to ±0.3~0.45dB. The parameters for constructing a single-link transmission carrier are shown in the table below: Table 3-1 Satellite Terminal Single-Link Transmission Carrier Data Parameters

[0041] Table 3-2 Configuration Parameters of Satellite Terminal Layered Demodulation Module

[0042] The satellite terminal transmits a single-link transmission carrier, achieving satellite-to-ground link transmission through the same set of radio frequency transceiver units (transmit power 30~33dBm, receive noise figure 2.0~3.0dB). The parameters for the layered demodulation process are shown in the table below: Table 3-3 Parameters of Satellite Terminal Layered Demodulation Process

[0043] After demodulation, the communication data is used to achieve high-speed communication between the satellite and ground stations and user terminals, supporting 4K video transmission; the sensing data is used for surface environment monitoring (such as vegetation cover and hydrological changes), with a resolution of 0.2~0.5m; and the AI ​​interaction data is used to support real-time processing of onboard AI algorithms (such as image recognition and data compression), reducing the amount of satellite-to-ground data transmission by 50%~60%. When the satellite enters a rain-attenuated area, causing increased signal attenuation, the system automatically adjusts the power ratio: the power ratio of environmental sensing echo data is increased to 40~48% (normalized, sum 100%), and the power ratio of user communication service data is reduced to 24~27% (normalized, sum 100%). After adjustment, the inter-layer isolation remains at 40~44dB, and the accuracy loss of sensing data is ≤0.08%. The calibration period for the field coherent excitation signal is 90-100ms. The calibration process simultaneously performs Doppler frequency shift compensation and multipath delay compensation, adapting to the large-scale Doppler frequency shift generated by the high-speed on-orbit motion of low-Earth orbit satellites. It also corrects delay deviations caused by complex atmospheric scattering and multipath reflections in the satellite-to-ground transmission path, ensuring the coherence and transmission accuracy of the satellite-to-ground link signal. After calibration, the phase continuity is ≥98.2%, and the amplitude fluctuation is ≤±0.48dB. The satellite payload does not require independent sensing and computing power transmission channels, reducing weight by 35-40% and power consumption by 30-35% compared to traditional solutions, effectively extending the satellite's on-orbit lifespan.

[0044] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in the present invention, and these should all be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation, characterized in that, Includes the following steps: Step S1: Construct a normalized single-link transmission carrier based on the unified field coherent excitation signal generation rules. The single-link transmission carrier synchronously carries three types of data to be transmitted based on the same coherent phase reference: user communication service data, environmental perception echo data, and edge AI computing power interaction data. Apply unified field phase orthogonal pre-superposition processing to the modulation waveforms of the three types of data. The power ratio of the three types of data is dynamically adjusted in linkage and the total power is always 100%. The phase continuity of the field coherent excitation signal is ≥98%, and the amplitude fluctuation is controlled within ±0.5dB. Step S2: The field resonance hierarchical dynamic demodulation logic is used to process the single-link transmission carrier, and the three types of data are separated within the same spectrum time slot without the need to divide the time slots independently; the demodulation threshold is dynamically updated following the real-time power ratio. Step S3: A unified layered demodulation module is built into the baseband chip of the terminal and the base station. The module is connected to only a single group of radio frequency transmission and reception units to decode and distribute the three types of data after separation in a unified manner. Step S4: Preset three sets of joint demodulation layering rules. The entire set of rules is independent of chip manufacturing process and radio frequency band parameters, and is adapted to terminals and base stations with different hardware architectures.

2. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, The single-link transmission carrier construction method in step S1 includes: OFDM modulation features were extracted from communication data, with a subcarrier spacing of 30kHz and a modulation order of 256QAM; LFM features were extracted from sensing data, with a reference frequency modulation slope of 50MHz / μs and a pulse width of 10μs; PAM features were extracted from AI computing power data, with a pulse repetition frequency of 1MHz and a quantization bit depth of 12 bits; orthogonal pre-superposition was performed using a coherent excitation phase reference; the reference power ratio was 40%~45% for communication, 30%~35% for sensing, and 20%~25% for AI computing power, with equal increases and decreases during power adjustments to maintain total energy uniformity.

3. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, Step S2, the field resonance layered dynamic demodulation logic, includes: A resonant filter with a center frequency matching coherent excitation signal and a Q value ≥ 1000 is used to filter out out-of-band interference; the first layer of dynamic threshold matching is used to limit the real-time communication power to 40% of the total power to separate the communication data; the second layer of dynamic threshold matching is used to separate the sensing data to 55%~60% of the power range of the remaining signal; the remaining signal is determined to be AI computing power data, and the buffer depth of the three types of data is ≥ 1024 bits.

4. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, Step S4, the hierarchical rules, include: Rule A: Power hierarchy separation rule, priority communication > perception > AI computing power; Rule B: Field modulation feature recognition rule, which distinguishes data based on the constellation / time-frequency diagram after orthogonal coding; Rule C: Delay determination rule with Doppler and delay compensation, the delay difference of the three types of signals after compensation is ≤5ns; The accuracy rate of the three sets of rules combined is ≥99.99%, and the accuracy fluctuation is ≤0.001% under hardware and frequency band switching.

5. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, The layered demodulation module includes an RF front-end interface, an analog-to-digital conversion unit, a layered demodulation execution unit, a data distribution unit, and a global clock synchronization unit; the RF front-end local oscillator error is ≤ ±10kHz; the ADC sampling rate is ≥200MSPS, and the signal-to-noise ratio is ≥65dB; the unified clock is 122.88MHz, and the jitter is ≤100fs; the inter-module isolation is ≥40dB.

6. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, The layered demodulation module and the RF unit adopt a 32-bit high-speed shared bus with a bus rate ≥1Gbps and a bit error rate ≤10. - ¹²; Bus time-division time slot ratio matches the reference power ratio; RF is configured with only one transmit and one receive channel, transmit power 23dBm±1dB, receive noise figure ≤3dB.

7. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, It also includes a unified field coherent excitation dynamic calibration procedure: period 100ms, single calibration ≤10μs; measurement of phase shift, amplitude attenuation, Doppler frequency shift, and multipath delay; if the limit is exceeded, synchronous four-dimensional compensation of phase, amplitude, frequency shift, and time delay is completed, and the field coherence index is restored after calibration.

8. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, Includes normalized adaptive power adjustment steps: increase AI computing power when the load exceeds 80%, lock the lower limit of sensing power to 30% when the sensing accuracy is insufficient; all adjustments are linked equally, the total power is kept at 100%, the adjustment response is ≤1ms, and the inter-layer isolation is ≥40dB.

9. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, After separating the three types of data, they are graded and verified and retransmitted with priority: communication CRC-32, perception Hamming error correction, and AI data CRC-16 + parity check; verification anomalies trigger retransmission, with a maximum of 3 retransmissions, and the retransmission priority is communication > perception > AI computing power.

10. The method for implementing 6G integrated field signal multiplexing based on unified field coherent excitation according to claim 1, characterized in that, Scene switching only adjusts the field software parameters, while the core demodulation logic remains unchanged: Industrial 3.5GHz adapts to 64QAM and adaptive isolation ≥50dB; Vehicle networking 5.9GHz improves LFM slope and 16bit PAM; Satellite 28GHz adjusts the normalized power ratio to 30% / 45% / 25% and enhances Doppler and rain attenuation compensation.

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