WO2023246781A1

WO2023246781A1 - Sensing and communication system, signal processing method, electronic device, and readable storage medium

Info

Publication number: WO2023246781A1
Application number: PCT/CN2023/101411
Authority: WO
Inventors: 胡雪冬; 潘晓军
Original assignee: 中兴通讯股份有限公司
Priority date: 2022-06-23
Filing date: 2023-06-20
Publication date: 2023-12-28
Also published as: CN117335824A

Abstract

The present application provides a sensing and communication system, a signal processing method, an electronic device, and a computer-readable storage medium. The sensing and communication system comprises: a sensing and communication transmission unit (100), configured to transmit sensing and communication signals, and comprising a sensing and communication transmission digital unit (140); and a sensing and communication reception unit (200), configured to receive sensing and communication signals, and comprising a communication reception radio-frequency unit (220), a sensing reception radio-frequency unit (230) and a processing unit (250). The communication reception radio-frequency unit (220), the sensing reception radio-frequency unit (230), and the sensing and communication transmission digital unit (140) all communicate with the processing unit (250).

Description

Communication sensing system, signal processing method, electronic device and readable storage medium

Cross-references to related applications

This application is filed based on a Chinese patent application with application number 202210718573.2 and a filing date of June 23, 2022, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated by reference into this application.

Technical field

Embodiments of the present application relate to, but are not limited to, the field of signal processing technology, and in particular, to a communication sensing system, a signal processing method, an electronic device, and a computer-readable storage medium.

Background technique

In traditional data transmission systems, communication and perception are independent of each other. For example, the 4G communication system is only responsible for communication, and the radar system is only responsible for speed measurement and induction imaging. Due to differences in system functions and specifications, communication and perception systems have different requirements in bandwidth, The power output capability, receiving detection sensitivity, system dynamic range, duplex capability and performance, as well as the frequency offset, phase noise, nonlinearity and other index requirements of the radio frequency channel are all very different. Therefore, the traditional method is to separate according to the communication and However, such a separated design results in a waste of wireless spectrum and hardware resources.

Contents of the invention

Embodiments of the present application provide a communication sensing system, a signal processing method, an electronic device, and a computer-readable storage medium.

In a first aspect, embodiments of the present application provide a communication perception system, including: a synaesthesia transmitting unit configured to transmit a synaesthesia signal, the synaesthesia transmitting unit including a synaesthesia transmitting digital unit; a synaesthesia receiving unit configured to transmit synaesthesia signals. Configured to receive synaesthesia signals, the synesthesia receiving unit includes a communication receiving radio frequency unit, a perceptual receiving radio frequency unit and a processing unit, the communication receiving radio frequency unit, the perceptual receiving radio frequency unit and the synaesthesia transmitting digital unit are all related to The processing unit communicates.

In a second aspect, embodiments of the present application also provide a signal processing method, which is applied to the processing unit in the above-mentioned communication sensing system. The method includes: obtaining a real-time service load, where the real-time service load includes communication Service load and perceived service load; analyze the real-time service load to obtain service type proportion information; perform overhead configuration on the communication frames in the synaesthesia signal according to the service type proportion information.

In a third aspect, embodiments of the present application also provide a signal processing method, applied to the processing unit in the above-mentioned communication perception system. The method includes: acquiring the perception signal in the synaesthesia signal; The sensing signal is extracted to obtain external state information; and the beam of the synaesthesia signal is deployed according to the external state information.

In a fourth aspect, embodiments of the present application also provide an electronic device, including one of the following: a communication sensing system as described above; or a memory, a processor, and a device stored on the memory and capable of running on the processor. A computer program, when the processor executes the computer program, the signal processing method as described above is implemented.

In a fifth aspect, embodiments of the present application further provide a computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are used to execute the signal processing method as described above.

Description of the drawings

Figure 1 is a schematic architectural diagram of a communication sensing system provided by an embodiment of the present application;

Figure 2 is an architectural schematic diagram of a processing unit in a communication sensing system provided by an embodiment of the present application;

Figure 3 is a schematic diagram of an interference suppression module provided by an embodiment of the present application;

Figure 4 is a flow chart of signal processing provided by an embodiment of the present application;

Figure 5 is a schematic structural diagram of a communication frame provided by an embodiment of the present application;

Figure 6 is a flow chart of signal processing provided by another embodiment of the present application;

Figure 7 is a flow chart of beam deployment provided by an embodiment of the present application;

Figure 8 is a flow chart of target tracking provided by an embodiment of the present application;

Figure 9 is a schematic diagram of synaesthesia collaboration provided by an embodiment of the present application;

Figure 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

It should be noted that although the functional modules are divided in the device schematic diagram and the logical sequence is shown in the flow chart, in some cases, the modules can be divided into different modules in the device or the order in the flow chart can be executed. The steps shown or described. The terms "first", "second", etc. in the description, claims, and above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific sequence or sequence.

This application provides a communication perception system, a signal processing method, an electronic device and a computer-readable storage medium. The communication perception system includes a synaesthesia transmitting unit and a synaesthesia receiving unit; wherein the synaesthesia transmitting unit is configured to transmit a synaesthesia signal. , and the synaesthesia transmitting unit includes a synaesthesia transmitting digital unit; the synaesthesia receiving unit is configured to receive a synaesthesia signal, and the synaesthesia receiving unit includes a communication receiving radio frequency unit, a perceptual receiving radio frequency unit and a processing unit, wherein the communication receiving radio frequency unit , the perceptual receiving radio frequency unit and the synaesthetic transmitting digital unit both communicate with the processing unit. According to the technical solutions provided by the embodiments of this application, the communication part and the perception part can be integrated to achieve integration of communication and perception and save costs.

The embodiments of the present application will be described below with reference to the accompanying drawings.

As shown in Figure 1, Figure 1 is a communication perception system provided by an embodiment of the present application, including a synaesthesia transmitting unit 100 and a synaesthesia receiving unit 200; wherein the synaesthesia transmitting unit 100 is configured to transmit a synaesthesia signal. The synaesthesia transmitting unit 100 includes a synaesthesia transmitting digital unit 140; a synaesthesia receiving unit 200 is configured to receive synaesthesia signals. The synaesthesia receiving unit 200 includes a communication receiving radio frequency unit 220, a perceptual receiving radio frequency unit 230 and a processing unit 250. The communication receiving unit 250 The radio frequency unit 220 , the perceptual receiving radio frequency unit 230 and the synaesthetic transmitting digital unit 140 are all in communication with the processing unit 250 .

In one embodiment of the present application, the communication perception system includes a synaesthesia transmitting unit 100 and a synaesthesia receiving unit 200; wherein, the synaesthesia transmitting unit 100 is configured to transmit a synaesthesia signal, and the synaesthesia transmitting unit 100 includes a synaesthesia transmitting digital unit 140 ; The synaesthesia receiving unit 200 is configured to receive synesthesia signals, and the synaesthesia receiving unit 200 includes a communication receiving radio frequency unit 220, a perception receiving radio frequency unit 230 and a processing unit 250, wherein the communication receiving radio frequency unit 220 and the perception receiving radio frequency unit 230 and synaesthetic emission digital unit 140 are both in communication with processing unit 250 . According to the technical solutions provided by the embodiments of this application, the communication part and the perception part can be integrated to achieve integration of communication and perception and save costs.

It can be understood that synaesthesia signals include communication signals and perception signals; among which, communication signals are two or more points Signals used to transmit information between; sensing signals are signals obtained by detecting physical environment parameters, such as speed measurement and target positioning. Synesthesia integration refers to the integration of communication and perception functions, so that future communication systems have both communication and perception functions. While transmitting information on wireless channels, they actively recognize and analyze the characteristics of the channel, thereby Perceive the physical characteristics of the surrounding environment, so that communication and perception functions enhance each other.

It is worth noting that the synaesthesia transmitting unit 100 is configured to transmit a synaesthesia signal, wherein the synaesthesia transmitting digital unit 140 is configured to digitally modulate and filter the data source; the synaesthesia receiving unit 200 is configured to receive synaesthesia signals. signal; the communication receiving radio frequency unit 220 is configured to amplify, mix and filter the received communication signal; the perception receiving radio frequency unit 230 is configured to amplify, mix and filter the received perception signal; processing unit 250 classifies the information carried, and then processes the distinguished communication signals and sensing signals respectively, so that the subsequent server can analyze and process the relevant data.

It is worth noting that this system has achieved a high degree of integration. The communication part and the sensing part are both on the same device. The sensing part and the communication part share the same transmitting link; the sensing receiving link reuses part of the communication receiving link, only A small number of additional components are added, so the size can be reduced and costs can be saved. This system can also realize mutual cooperation of communication and perception, thereby improving the overall performance of perception and communication. On the one hand, it enables the mobile network to have sensing capabilities at a lower cost; on the other hand, in some embodiments, synaesthesia integrated extension can also support multi-point network collaborative sensing.

It can be understood that the synesthesia transmitting unit 100, the synaesthesia receiving unit 200, the synaesthesia digital unit 140, the communication receiving radio frequency unit 220, the perceptual receiving radio frequency unit 230 and the processing unit 250 in the embodiment of the present application may all have corresponding functions. The hardware module can also be a software module with corresponding functions, which is not limited here.

It is worth noting that the compilable code with relevant functions can be compiled into configuration information through a compiler, and then the configuration information is burned into the synaesthesia transmitting unit 100, synaesthesia receiving unit 200, and synaesthesia transmitting digital unit 140 within the system architecture. , communication receiving radio frequency unit 220, perception receiving radio frequency unit 230 and processing unit 250 to complete the corresponding functional configuration.

It is worth noting that the synaesthesia integrated system has the function of physical-digital space perception at the same time. Through the collaboration and sharing of synaesthesia software and hardware resources, each unit of the system realizes the deep integration and mutually beneficial enhancement of multi-dimensional perception, collaborative communication, and intelligent computing functions, thereby enabling the network to have new information flow intelligent interaction and processing and wide-area intelligent collaboration. Ability. This application can be used in typical application scenarios of local space and open space.

It can be understood that the communication sensing system in the embodiment of the present application may belong to the base station equipment in the telecommunications communication network. Based on the communication sensing system, the communication function and the sensing function can be realized based on one device, which greatly saves costs. And the communication sensing system in the embodiment of the present application can perform communication sensing with terminals, vehicles, drones and other devices, where the terminal can be a mobile phone, a tablet or other mobile communication device.

As shown in FIG. 1 , in an embodiment of the present application, the perceptual receiving radio frequency unit 230 includes an interference suppression module 231 , and the interference suppression module 231 communicates with the processing unit 250 .

In an embodiment of the present application, the sensing receiving radio frequency unit 230 also includes an interference suppression module 231; because for sensing services, transceiver and transmitter work simultaneously, there will be interference between antennas. When the power of the interference signal reaches a certain level, it will cause The blocking of the receiving channel affects the reception of subsequent signals, so the interference signal needs to be suppressed.

It is worth noting that during the process of suppressing the interference signal, the interference suppression module 231 mixes the received interference signal with the local transmission signal to obtain a difference frequency signal. The frequency difference between the two represents the difference between the two signals. The time delay experienced between the two, the self-interference between the two will form a zero-frequency signal, and then use a filter to filter the zero-frequency signal, the interference signal can be suppressed, thereby preventing the power of the interference signal If it increases to a certain extent, it will cause the problem of receiver channel blocking.

It is worth noting that this system solves the problem that the existing communication and sensing systems need to be designed separately due to differences in functions and specifications by designing the communication and sensing receiving radio frequency channels separately, and adding an interference suppression module 231 in the sensing receiving radio frequency channel. It has the performance of high dynamic range and self-interference cancellation, and also takes into account the goals of low complexity, low power consumption and high integration.

In one embodiment of the present application, as shown in Figure 3, TX ANT represents the transmitting antenna, RX ANT represents the receiving antenna, TX signal represents the transmit signal, and IF signal represents the intermediate frequency signal; the received interference signal and the transmit signal are mixed, so that After obtaining the difference frequency signal, the self-interference between the two will also form a zero-frequency signal, and then use a filter to filter the zero-frequency signal to obtain the intermediate frequency signal. Among them, the intermediate frequency signal is a signal obtained by frequency conversion of a high frequency signal. In order to make the amplifier work stably and reduce interference, the general receiver must convert the high frequency signal into an intermediate frequency signal; the intermediate frequency is relative to the baseband signal. As far as radio frequency signals are concerned, the intermediate frequency can have one or more levels, and it is the bridge between baseband and radio frequency.

As shown in Figure 1, in one embodiment of the present application, the synaesthetic transmitting unit 100 also includes a digital-to-analog conversion unit 130, a synaesthetic transmitting radio frequency unit 120, and a synaesthetic transmitting antenna array 110. The synaesthetic transmitting digital unit 140, the digital-to-analog conversion unit 130. The synaesthetic transmitting radio frequency unit 120 and the synaesthetic transmitting antenna array 110 are connected in sequence.

In an embodiment of the present application, the synaesthesia transmitting digital unit 140 can perform digital modulation and filtering processing on the data source, where the data source can come from an indoor baseband processing unit or a server; the digital-to-analog conversion unit 130 can convert the synaesthesia transmitting digital unit The digital signal sent by 140 undergoes digital-to-analog conversion, so that a carrier signal can be output; the synaesthesia sending radio frequency unit 120 can perform frequency conversion, filtering and amplification processing on the carrier signal sent by the digital-to-analog conversion unit 130, so as to output a radio frequency signal; synaesthesia The transmitting antenna array 110 receives the radio frequency signal sent by the synaesthetic transmitting radio frequency unit 120, and then radiates the radio frequency signal into space, which can generate a large number of beams, and can also increase the transmission power through beam forming technology.

It is worth noting that the digital-to-analog conversion unit 130, the synaesthetic transmitting radio frequency unit 120, and the synaesthetic transmitting antenna array 110 can all be hardware modules. Only input signals are required to obtain corresponding output signals through the hardware modules. Among them, the digital-to-analog conversion unit 130 is mainly configured for digital-to-analog conversion; the synaesthesia transmitting radio frequency unit 120 is mainly configured to perform frequency conversion, filtering and amplification processing of signals; the synaesthesia transmitting antenna array 110 is mainly configured to radiate signals into space , which can generate a large number of beams.

It is worth noting that the directivity of a single antenna is limited. In order to be suitable for various applications, two or more single antennas working at the same frequency are fed and spatially arranged according to certain requirements to form an antenna. Array, also called antenna array. The antenna radiating units that make up the antenna array are called array elements. The working principle of the antenna array can be regarded as the superposition of electromagnetic waves. For several columns of electromagnetic waves, when they are transmitted to the same area, according to the superposition principle, the electromagnetic waves will produce vector superposition. The superposition result is not only related to the amplitude of each column of electromagnetic waves, but also to the phase difference between them in the encounter interval.

As shown in Figure 1, in one embodiment of the present application, the synaesthesia receiving unit 200 also includes a synaesthesia receiving antenna array 210 and an analog-to-digital conversion unit 240. The communication receiving radio frequency unit 220 and the perception receiving radio frequency unit 230 are respectively connected to the synaesthesia receiving antenna. Between the array 210 and the analog-to-digital conversion unit 240, the analog-to-digital conversion unit 240 is connected to the processing unit 250.

In an embodiment of the present application, the synaesthesia receiving antenna array 210 can implement multiple beams and is configured to receive communication signals from the terminal and sensing signals transmitted by the target; the communication receiving radio frequency unit 220 is configured to amplify the received communication signals. Mixing and filtering processing; the perception receiving radio frequency unit 230 is configured to amplify, mix and filter the received perception signal; the analog-to-digital conversion unit 240 is configured to convert the analog signal into a digital signal for the processing unit 250 Carry out subsequent analysis and processing.

It is worth noting that both the synaesthesia receiving antenna array 210 and the analog-to-digital conversion unit 240 can be hardware modules, and only input signals are required to obtain corresponding output signals through the hardware modules. Among them, the analog-to-digital conversion unit 240 is mainly configured as an analog Digital conversion; the synaesthesia receiving antenna array 210 is mainly configured to receive communication signals from the terminal and perception signals emitted by the target. By carrying an array antenna, this system can not only achieve broadband communication, but also receive sensing echo signals to enhance sensing capabilities.

As shown in Figure 1 and Figure 2, in an embodiment of the present application, the processing unit 250 includes a classification unit 253, a perceptual signal processing unit 251 and a communication signal processing unit 252. The analog-to-digital conversion unit 240 is connected to the classification unit 250. The perceptual signal processing unit 251 and the communication signal processing unit 252 are both connected to the classification unit 253.

In an embodiment of the present application, the processing unit 250 includes a classification unit 253, a perceptual signal processing unit 251 and a communication signal processing unit 252; the classification unit 253 can classify and process the digital signal sent by the analog-to-digital conversion unit 240, so that the communication signal and sensing signal; then the sensing signal processing unit 251 is used to analyze and process the sensing signal, and the communication signal processing unit 252 is used to analyze and process the communication signal. Then the sensing signal processing unit 251 and the communication signal processing unit 252 analyze and process the analyzed signal. Sent to the server or indoor baseband processing unit.

As shown in Figure 2, according to an embodiment of the present application, the sensing signal processing unit 251 includes a distance detection unit 2511 configured to detect a distance, a Doppler processing unit 2512 configured to detect a target rate, a Doppler processing unit 2512 configured to detect a target, The target detection unit 2513, the angle estimation unit 2514 configured to estimate the angle, and the first filtering unit 2515 configured to filter. The classification unit 253, the distance adjustment unit 2511, the Doppler processing unit 2512, the target detection unit 2513, the angle estimation unit 2514 and the first filtering unit 2515 are connected in sequence to analyze and process the sensing signal.

It is worth noting that the distance detection unit 2511 can detect the distance of the target information carried in the sensing signal; the Doppler processing unit 2512 can filter or filter the received signal of a certain fixed distance unit within a certain period of time. Spectral analysis processing; the target detection unit 2513 can detect the target; the angle estimation unit 2514 can detect the angle of the target; the first filtering unit 2515 can filter the interference in the signal, wherein the first filtering unit 2515 It can be a Kalman filter unit.

It is worth noting that the classification unit 253, the distance adjustment unit 2511, the Doppler processing unit 2512, the target detection unit 2513, the angle estimation unit 2514 and the first filtering unit 2515 can all be hardware modules with corresponding functions, or can also be hardware modules with corresponding functions. Software modules with corresponding functions are not limited here.

It is worth noting that the compilable code with relevant functions can be compiled into configuration information through a compiler, and then the configuration information is burned into the classification unit 253, distance adjustment unit 2511, Doppler processing unit 2512, and target inside the system architecture. The detection unit 2513, the angle estimation unit 2514 and the first filtering unit 2515 are used to complete the corresponding functional configuration.

As shown in Figure 2, according to an embodiment of the present application, the communication signal processing unit 252 includes a gain adjustment unit 2521 configured to adjust the signal gain, a mixing unit 2522 configured to mix, and a half-band configured for interpolation processing. The interpolation unit 2523, the second filtering unit 2524 configured as filtering, and the delay compensation unit 2525 configured as delay compensation. The classification unit 253, the gain adjustment unit 2521, the mixing unit 2522, the half-band interpolation unit 2523, the second filtering unit 2524 and the delay compensation unit 2525 are connected in sequence and can analyze and process the communication signal.

It is worth noting that the gain adjustment unit 2521 is configured to amplify the communication signal processed by the classification unit 253; the mixing unit 2522 is configured to perform mixing processing on the communication signal adjusted and processed by the gain adjustment unit 2521; half-band The interpolation unit 2523 is configured to perform half-band interpolation processing on the mixed signal to prepare for subsequent filtering processing; the second filtering unit 2524 is configured to perform filtering processing on the signal, where the second filtering unit 2524 can be Shaping filter unit; delay compensation unit 2525 is configured to perform delay compensation processing on the signal.

It is worth noting that the classification unit 253, the gain adjustment unit 2521, the mixing unit 2522, the half-band interpolation unit 2523, the second filtering unit 2524 and the delay compensation unit 2525 can all be hardware modules with corresponding functions, or can also be hardware modules with corresponding functions. Software modules with corresponding functions are not limited here.

It is worth noting that the compilable code with relevant functions can be compiled into configuration information through a compiler, and then the configuration information is burned into the classification unit 253, gain adjustment unit 2521, mixing unit 2522, and half-band interpolation inside the system architecture. Unit 2523, second filtering unit 2524 and delay compensation unit 2525 to complete the corresponding functional configuration.

As shown in Figure 1, an embodiment of the present application also includes an indoor baseband processing unit 300. The synaesthesia transmitting unit 100 and the processing unit 250 are both connected to the indoor baseband processing unit 300.

In an embodiment of the present application, the indoor baseband processing unit 300 can communicate with the synaesthesia transmitting unit 100 and the processing unit 250, so that the baseband processing unit 300 can generate data sources and analyze and forward the received signals. Among them, the indoor baseband processing unit is a distributed base station architecture widely used in telecommunications networks, which can complete the transmission and analysis processing of baseband signals.

In some embodiments, the synesthesia transmitting unit 100 and the processing unit 250 may also be connected to a server. Through the server, the sensing signals and communication signals can be analyzed and processed.

The system architecture and application scenarios described in the embodiments of this application are for the purpose of explaining the technical solutions of the embodiments of this application more clearly, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. Those skilled in the art will know that with the system architecture With the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

Those skilled in the art can understand that the system architecture shown in Figures 1 and 2 does not limit the embodiments of the present application, and may include more or less components than shown, or combine certain components, or Different component arrangements.

Based on the structure of the above system architecture, various embodiments of the signal processing method of the present application are proposed.

As shown in Figure 4, Figure 4 is a flow chart of a signal processing method provided by an embodiment of the present application. The signal processing method includes but is not limited to step S100, step S200 and step S300:

Step S100, obtain real-time service load, where real-time service load includes communication service load and sensing service load;

Step S200: Analyze the real-time business load to obtain business type proportion information;

Step S300: Configure the overhead of the communication frame in the synaesthesia signal according to the service type proportion information.

In an embodiment of the present application, the real-time service load is first obtained, where the real-time service load includes communication service load and sensing service load; then the real-time service load is analyzed to obtain the service type proportion information; finally, the real-time service load is analyzed according to the service type proportion information. The communication frame in the synaesthesia signal undergoes overhead configuration processing.

It is worth noting that the real-time service load includes communication service load and perception service load; and in some usage scenarios, there may be a situation where the communication service load is relatively large, and there may also be a situation where the perception service load is relatively large. In order to make The system is more intelligent and can flexibly configure the communication frame overhead according to different business needs, reducing unnecessary data overhead and improving spectrum utilization.

It is worth noting that the real-time business load analysis and processing, that is, based on the analysis of the communication business load and the perceived business load, it can be concluded whether the current communication service demand is large or the perceived business demand is large, and then based on The service type proportion information configures the overhead of the communication frames in the synaesthesia signal; for example, one communication frame is originally 5 frames, and when it is determined that the demand for communication services is large, the 5 frames can be 4 frames are used as communication frames, and only one of them is used as a sensing frame; if it is determined that the demand for sensing services is large, 3 frames out of 5 frames can be used as communication frames, and the remaining 2 frames can be used as sensing frames. frame.

In one embodiment of this application, the synaesthesia system in this application dynamically allocates communication and sensing time based on the real-time load of the system based on the original communication frame structure, thereby performing flexible coordination and deployment of synaesthesia resources to adapt to the needs of different scenarios. . Show For example, if the demand for communication services is large, the proportion of sensing services will be small. Then the sensing frame configuration and overhead can be set as follows: among every 5 slots, one slot is configured as sensing, and the remaining 4 slots are configured as communication , the overhead is 20%, where Slot is the scheduling unit of the 5G (NR) network standard; among them, the frame structure configuration can be shown in Figure 5; the communication sensing system can control the sensing overhead on demand as shown in the following table:

Through the above technical solutions, different communication and sensing time slot ratios can be flexibly designed according to different business needs, reducing resource overhead and improving spectrum utilization.

In an embodiment of the present application, the service type proportion information includes one of the following: the ratio of communication service load to perceived service load; the ratio of communication service load to real-time service load; the ratio of perceived service load to communication service load; perceived service load The ratio between real-time service load and real-time service load; the ratio between real-time service load and communication service load; the ratio between real-time service load and perceived service load.

It is worth noting that the service type proportion information may include one of the following: the ratio of communication service load and perceived service load; the ratio of communication service load and real-time service load; the ratio of perceived service load and communication service load; the ratio of perceived service load and The ratio of real-time service load; the ratio of real-time service load and communication service load; the ratio of real-time service load and perceived service load. A threshold is set according to the content of the service type proportion information, so that the threshold can be used to determine whether the current communication service demand is large or the perceived service demand is large. For example, when the service type proportion information is the ratio of communication service load and perceived service load, the threshold can be set to 3, that is, when the ratio of communication service load and perceived service load is greater than 3, it will be determined as The demand for communication services is large. When the ratio of communication service load and perceived service load is not greater than 3, it will be determined that the demand for perceived services is large.

As shown in Figure 6, Figure 6 is a flow chart of a signal processing method provided by an embodiment of the present application. The signal processing method includes but is not limited to step S400, step S500 and step S600:

Step S400, obtain the sensory signal in the synaesthesia signal;

Step S500, extract the sensing signal to obtain external state information;

Step S600: Deploy the beam of the synaesthesia signal according to the external state information.

In an embodiment of the present application, the sensory signal in the synaesthesia signal is first obtained, and then the external state information can be obtained by extracting the sensory signal; finally, the beam of the synaesthesia signal is deployed and processed according to the external state information. Through the above technical solution, It can improve the adaptability of beams to environmental changes, provide users with more accurate services, reduce communication overhead, and improve communication reliability.

It is worth noting that the sensory signal carries external state information, and the beam of the synaesthesia signal is deployed and processed based on the external state information. During the beam deployment process, the parameters of the basic units of the phase array can be adjusted so that signals at certain angles obtain constructive interference, while signals at other angles obtain destructive interference. Beam deployment can be used on both the signal transmitting end and the signal receiving end.

As shown in Figure 7, the external status information includes environmental feature information and user information. The above step S600 may include but is not limited to step S610.

Step S610: Deploy and process the beam of the synaesthesia signal according to the environmental characteristic information and user information.

In an embodiment of the present application, the beam of the synaesthesia signal is configured according to the environmental feature information and user information in the external status information. Carry out deployment processing to improve the adaptability of beams to environmental changes, provide users with more accurate services, reduce communication overhead, and improve communication reliability. Among them, the environmental feature information is used to represent the external environmental situation, and the user information is used to represent the target information.

As shown in Figure 8, the above step S610 may also include but is not limited to step S710, step S720 and step S730:

Step S710, determine status information based on environmental feature information and user information;

Step S720, calibrate the status information based on the pilot time slot of the communication signal in the synaesthesia signal to obtain the first target;

Step S730: Control the sensing time slot in the sensing signal to track the first target.

In an embodiment of the present application, the state information is first determined based on the environmental characteristic information and user information; then the state information is calibrated based on the pilot time slot of the communication signal in the synaesthesia signal to obtain the first target; and finally the perception in the sensing signal is controlled. The first target is tracked in the time slot, and the sensing accuracy and efficiency are improved through the above technical solutions. This communication sensing system extracts environmental characteristic information and user information from sensing information to reduce communication overhead and improve communication reliability; it calibrates the environment and targets in the communication pilot time slot to improve sensing accuracy and efficiency.

As shown in Figure 9, an embodiment of the present application provides a schematic diagram of synaesthesia cooperation; extracting environmental feature information and user information from the sensing signal can improve the intelligent adaptability of the beam to environmental changes, and more accurately Provide services to users, reduce communication overhead, and improve communication reliability; calibrate the environment and targets in the communication pilot time slot, accurately track the target during the sensing time slot, and improve sensing accuracy and efficiency.

In addition, as shown in Figure 10, one embodiment of the present application also provides an electronic device 800. The electronic device 800 includes one of the following:

The communication sensing system of the above embodiment.

Memory 820, processor 810, and a computer program stored on memory 820 and executable on processor 810.

The processor 810 and the memory 820 may be connected through a bus or other means.

It should be noted that the electronic device 800 in this embodiment and the signal processing method in the above embodiments belong to the same inventive concept, so these embodiments have the same implementation principles and technical effects, which will not be described in detail here.

The non-transient software programs and instructions required to implement the signal processing method of the above embodiment are stored in the memory 820

, when executed by the processor 810, the signal processing method in the above embodiment is executed, for example, the above-described method steps S100 to S300 in FIG. 4, method steps S400 to S600 in FIG. 6, and method steps S400 to S600 in FIG. 7 are executed. Method step S610, method steps S710 to S730 in FIG. 8 .

In addition, an embodiment of the present application also provides a computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are executed by a processor 810, for example, by the above-mentioned electronic device. Execution by a processor 810 in the embodiment 800 can cause the processor 810 to execute the signal processing method in the above embodiment, for example, execute the above-described method steps S100 to S300 in Figure 4 and method step S400 in Figure 6 to S600, method step S610 in Figure 7, and method steps S710 to S730 in Figure 8.

Embodiments of the present application include: a communication perception system including a synaesthesia transmitting unit and a synaesthesia receiving unit; wherein the synaesthesia transmitting unit is configured to transmit a synaesthesia signal, and the synaesthesia transmitting unit includes a synaesthesia transmitting digital unit; a synaesthesia receiving unit The synaesthesia receiving unit is configured to receive a synaesthesia signal, and the synaesthesia receiving unit includes a communication receiving radio frequency unit, a perceptual receiving radio frequency unit, and a processing unit, wherein the communication receiving radio frequency unit, the perceptual receiving radio frequency unit, and the synaesthesia transmitting digital unit all communicate with the processing unit. According to the technical solutions provided by the embodiments of this application, the communication part and the sensing part can be integrated to realize communication sensing. Integrated and cost-saving.

Those of ordinary skill in the art can understand that all or some steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As is known to those of ordinary skill in the art, the term computer storage media includes volatile and nonvolatile media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. removable, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disk (DVD) or other optical disk storage, magnetic cassettes, tapes, disk storage or other magnetic storage devices, or may Any other medium used to store the desired information and that can be accessed by a computer. Additionally, it is known to those of ordinary skill in the art that communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

Claims

A communication perception system, including:

a synaesthetic transmitting unit configured to transmit a synaesthetic signal, the synaesthetic transmitting unit comprising a synaesthetic transmitting digital unit;

A synaesthesia receiving unit is configured to receive a synaesthesia signal, the synaesthesia receiving unit includes a communication receiving radio frequency unit, a perception receiving radio frequency unit and a processing unit, the communication receiving radio frequency unit, the perception receiving radio frequency unit and the communication receiving unit The sensing and transmitting digital units are in communication with the processing unit.
The communication sensing system according to claim 1, wherein the sensing receiving radio frequency unit includes an interference suppression module, and the interference suppression module communicates with the processing unit.
The communication perception system according to claim 1, wherein the synaesthetic transmitting unit further includes a digital-to-analog conversion unit, a synaesthetic transmitting radio frequency unit and a synaesthetic transmitting antenna array, the synaesthetic transmitting digital unit, the digital-to-analog The conversion unit, the synaesthetic transmitting radio frequency unit and the synaesthetic transmitting antenna array are connected in sequence.
The communication perception system according to claim 1, wherein the synaesthesia receiving unit further includes a synesthesia receiving antenna array and an analog-to-digital conversion unit, and the communication receiving radio frequency unit and the perception receiving radio frequency unit are respectively connected to the Between the synaesthetic receiving antenna array and the analog-to-digital conversion unit, the analog-to-digital conversion unit is connected to the processing unit.
The communication sensing system according to claim 4, wherein the processing unit includes a classification unit, a sensing signal processing unit and a communication signal processing unit, the analog-to-digital conversion unit is connected to the classification unit, and the sensing signal processing unit and the communication signal processing unit are both connected to the classification unit.
The communication sensing system according to claim 5, wherein the sensing signal processing unit includes a distance detection unit configured to detect a distance, a Doppler processing unit configured to detect a target rate, a target configured to detect a target a detection unit, an angle estimation unit configured to estimate an angle, and a first filtering unit configured to filter, the classification unit, the distance adjustment unit, the Doppler processing unit, the target detection unit, the The angle estimation unit and the first filtering unit are connected in sequence.
The communication sensing system according to claim 5, wherein the communication signal processing unit includes a gain adjustment unit configured to adjust signal gain, a mixing unit configured to mix, and a half-band interpolation configured to perform interpolation processing. unit, a second filtering unit configured as filtering and a delay compensation unit configured as delay compensation, the classification unit, the gain adjustment unit, the mixing unit, the half-band interpolation unit, the The second filtering unit and the delay compensation unit are connected in sequence.
The communication sensing system according to claim 1, further comprising an indoor baseband processing unit, the synaesthesia transmitting unit and the processing unit are both connected to the indoor baseband processing unit.
A signal processing method, applied to the processing unit in the communication sensing system according to any one of claims 1 to 8, including:

Obtain real-time service load, where the real-time service load includes communication service load and sensing service load;

Analyze the real-time business load to obtain business type proportion information;

Overhead configuration is performed on the communication frames in the synaesthesia signal according to the service type proportion information.
The signal processing method according to claim 9, wherein the service type proportion information includes one of the following:

The ratio of the communication traffic load to the perceived traffic load;

The ratio of the communication service load to the real-time service load;

The ratio of the perceived service load to the communication service load;

The ratio of the perceived service load to the real-time service load;

The ratio of the real-time service load to the communication service load;

The ratio of the real-time service load to the perceived service load.
A signal processing method applied to the processing unit in the communication sensing system according to any one of claims 1 to 8, including:

Obtain the sensory signal in the synaesthesia signal;

Extract the sensing signal to obtain external state information;

The beam of the synaesthesia signal is deployed according to the external state information.
The signal processing method according to claim 11, wherein the external state information includes environmental feature information and user information, and the deployment processing of the synaesthesia signal beam according to the external state information includes:

The beam of the synaesthesia signal is deployed according to the environmental characteristic information and the user information.
The signal processing method according to claim 12, wherein after the beams of the synaesthesia signals are deployed according to the environmental characteristic information and the user information, the method further includes:

Determine status information according to the environmental feature information and the user information;

Calibrate the status information based on the pilot time slot of the communication signal in the synaesthesia signal to obtain the first target;

The sensing time slot in the sensing signal is controlled to track the first target.
An electronic device, including one of the following:

The communication sensing system according to any one of claims 1 to 8;

A memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the signal processing method according to any one of claims 9 to 10 is implemented. and/or the signal processing method according to any one of claims 11 to 13.
A computer-readable storage medium storing computer-executable instructions, the computer-executable instructions being used to execute the signal processing method according to any one of claims 9 to 10 and/or any one of claims 11 to 13 The signal processing method.