A channel estimation method and device based on pragmatic pilot

Abstract

The application provides a channel estimation method and device based on pragmatic pilot, comprising: a sending end sends a pragmatic pilot signal to a receiving end to be calibrated in terms of pragmatic function, and the pragmatic pilot signal contains original pragmatic function information of the receiving end; the receiving end tests corresponding pragmatic function of itself according to the pragmatic pilot signal, generates a test result and feeds back to the sending end; the sending end compares the test result with the original pragmatic function information of the receiving end, and calculates signal deformation in terms of pragmatic layer between the sending end and the receiving end by using a preset deviation function; if the signal deformation is within a preset acceptable range, the sending end and the receiving end perform pragmatic communication; otherwise, pragmatic communication is not performed. The method provided by the application calibrates the receiving end in terms of pragmatic function by using the pragmatic pilot signal, so as to realize channel estimation in terms of pragmatic function.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a channel estimation method and apparatus based on pragmatic pilots. Background Technology

[0002] As is well known, the three major application scenarios of 5G are: 1. Enhanced Mobile Broadband (eMBB); 2. Massive Internet of Things (MIoT); and 3. Ultra-Reliable Low Latency Communications (URLLC), such as autonomous driving and industrial automation. These application scenarios highlight the enormous demand for communication speed and data volume. However, existing communication technologies are approaching the Shannon physical layer capacity limit. In the era of the Internet of Everything, 5G will gradually be unable to withstand the huge demands for communication speed and throughput. Therefore, the communications field has begun to explore the source of information, hoping to alleviate the pressure on the communication process by reducing the amount of information that needs to be transmitted. On the other hand, in modern communications, artificial intelligence is closely integrated with communication, and artificial intelligence requires more object-oriented functions than perfectly accurate bitstreams. This also provides inspiration for reducing the amount of data at the information source. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide a channel estimation method and apparatus based on pragmatic pilots to eliminate or improve one or more defects existing in the prior art, and to solve the problem that existing communication technologies cannot meet the huge demands for communication rate and throughput and neglect pragmatic functions.

[0004] On one hand, this invention provides a channel estimation method based on pragmatic pilots, characterized in that the pragmatic pilots are set in each node of the intelligent simplified network, and according to the channel estimation requirements, the corresponding nodes in the intelligent simplified network are used as transmitters and receivers. The method is executed at the transmitter and includes the following steps:

[0005] A pragmatic pilot signal is sent to the receiving end to which pragmatic function calibration is to be performed. The pragmatic pilot signal contains the original pragmatic function information of the receiving end.

[0006] The receiver receives test results fed back from the receiving end, which are obtained by the receiving end testing its own corresponding pragmatic functions based on the pragmatic pilot signal.

[0007] The test results are compared with the original pragmatic functional information of the receiving end, and the signal deformation at the pragmatic level between the sending end and the receiving end is calculated using a preset deviation function.

[0008] If the signal distortion is within a preset acceptable range, pragmatic communication is performed with the receiving end; otherwise, pragmatic communication is not performed.

[0009] In some embodiments of the present invention, before sending a pragmatic pilot signal to the receiver to be calibrated for pragmatic functions, the method further includes:

[0010] Based on the RIP protocol for routing table updates, each node in the intelligent simplified network shares its own pragmatic function information to obtain the original pragmatic function information of the receiving end.

[0011] In some embodiments of the present invention, if the signal distortion is within a preset acceptable range, after performing pragmatic communication with the receiving end, the method further includes:

[0012] The pragmatic pilot signal is sent to the receiving end again at preset time intervals to monitor the channel status;

[0013] If the signal distortion obtained during monitoring exceeds the preset acceptable range, communication with the receiving end will be stopped.

[0014] In some embodiments of the present invention, only one transmitting end is included, and the method further includes:

[0015] Multiple pragmatic pilot signals are sent to the receiving end to calibrate multiple pragmatic functions of the receiving end;

[0016] Each language pilot signal is numbered and marked with a priority. The receiving end performs tests according to the priority of each language pilot signal.

[0017] In some embodiments of the present invention, the method includes multiple transmitting ends and further includes:

[0018] When sending multiple speech pilot signals to the receiving end, multiplexing processing is performed to reduce interference between the speech pilot signals; the multiplexing processing includes at least one or more combinations of time division multiplexing, frequency division multiplexing, and space division multiplexing.

[0019] In some embodiments of the present invention, before sending a pragmatic pilot signal to the receiver to be calibrated for pragmatic functions, the method further includes:

[0020] A probe signal is sent to the receiving end to probe the hardware and software environment information of the receiving end; the hardware and software environment information includes at least hardware information, software information that implements pragmatic functions, and readable data types.

[0021] In some embodiments of the present invention, the method includes multiple receiving ends, and further includes:

[0022] The pragmatic pilot signal is broadcast to multiple receiving terminals.

[0023] To achieve rational allocation of resources, we need to identify network nodes with corresponding pragmatic functions within the broadcast range.

[0024] In some embodiments of the present invention, when sending a pragmatic pilot signal to a receiver to be calibrated for pragmatic functions, the method further includes:

[0025] If the transmission needs to pass through other nodes in the intelligent simplified network, the other nodes only forward the pragmatic pilot signal.

[0026] In some embodiments of the present invention, the method includes only one transmitter and one receiver, and further includes:

[0027] The same pragmatic pilot signal, which calibrates the same pragmatic function, is sent to the receiving end multiple times within a preset time period.

[0028] According to the application scenario, a preset protocol is set, and the receiving end performs channel estimation processing on the pragmatic pilot signal according to the preset protocol; the preset protocol includes at least performing channel estimation processing on only one pragmatic pilot signal and performing channel estimation processing on each pragmatic pilot signal.

[0029] On the other hand, the present invention also provides a computer-readable storage medium having a computer program stored thereon, characterized in that, when the program is executed by a processor, it implements the steps of the channel estimation method based on pragmatic pilots as described in any of the preceding claims.

[0030] The beneficial effects of the present invention are at least as follows:

[0031] This invention provides a channel estimation method and apparatus based on pragmatic pilots, comprising: a transmitting end transmitting a pragmatic pilot signal to a receiving end to which pragmatic function calibration is to be performed, the pragmatic pilot signal containing the original pragmatic function information of the receiving end; the receiving end testing its own corresponding pragmatic function according to the pragmatic pilot signal, generating test results and feeding them back to the transmitting end; the transmitting end comparing the test results with the original pragmatic function information of the receiving end, and calculating the pragmatic-level signal distortion between the transmitting end and the receiving end using a preset deviation function; if the signal distortion is within a preset acceptable range, the transmitting end and the receiving end perform pragmatic communication; otherwise, pragmatic communication is not performed. The method provided by this invention uses pragmatic pilot signals to calibrate the receiving end at the pragmatic function level, thereby achieving channel estimation at the pragmatic function level.

[0032] Furthermore, during pragmatic communication between the sending and receiving ends, the sending end retransmits pragmatic pilot signals to the receiving end at preset time intervals. This allows for monitoring of the channel status and timely detection of channel quality deterioration. The preset time interval can be set according to the complexity of the environment and the requirements for real-time performance and accuracy, making it suitable for various application scenarios.

[0033] Furthermore, the method provided by this invention is applicable to channel estimation for both wired and wireless communications. The pragmatic pilot signal can be transmitted end-to-end or broadcast, enabling channel estimation while simultaneously statistically analyzing communication nodes with corresponding pragmatic functions within the broadcast range. This allows for rational resource allocation and improves the communication efficiency of the intelligent and simplified network.

[0034] Additional advantages, objects, and features of the invention will be set forth in part in the description which follows, and will also become apparent in part to those skilled in the art upon studying the description, or may be learned by practice of the invention. The objects and other advantages of the invention can be realized and obtained by means of the structures specifically pointed out in the description and drawings.

[0035] Those skilled in the art will understand that the objectives and advantages achievable with the present invention are not limited to those specifically described above, and that the above and other objectives achievable with the present invention will become clearer from the following detailed description. Attached Figure Description

[0036] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, are not intended to limit the scope of the invention. In the drawings:

[0037] Figure 1 This is a schematic diagram illustrating the steps of a channel estimation method based on pragmatic pilots in one embodiment of the present invention.

[0038] Figure 2 This is a flowchart illustrating the steps of a channel estimation method based on pragmatic pilots in one embodiment of the present invention. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the embodiments and accompanying drawings. Here, the illustrative embodiments and descriptions of this invention are used to explain the invention, but are not intended to limit the invention.

[0040] It should also be noted that, in order to avoid obscuring the invention with unnecessary details, only the structures and / or processing steps closely related to the solution according to the invention are shown in the accompanying drawings, while other details that are not closely related to the invention are omitted.

[0041] It should be emphasized that the term "including / comprises" as used herein refers to the presence of a feature, element, step, or component, but does not exclude the presence or addition of one or more other features, elements, steps, or components.

[0042] It should also be noted that, unless otherwise specified, the term "connection" in this article can refer not only to a direct connection, but also to an indirect connection involving an intermediary.

[0043] In the following description, embodiments of the invention will be illustrated with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar parts, or the same or similar steps.

[0044] It should be emphasized here that the step markers mentioned below are not a limitation on the order of the steps, but should be understood as meaning that the steps can be executed in the order mentioned in the embodiments, or in a different order than in the embodiments, or several steps can be executed simultaneously.

[0045] To address the shortcomings of existing communication technologies, which fail to meet the enormous demands for communication speed and throughput while neglecting pragmatic functions, this invention first provides a channel estimation method based on pragmatic pilots. In this method, pragmatic pilots are set in each node of a simplified intelligent network. Based on the channel estimation requirements, the corresponding nodes in the simplified intelligent network are designated as transmitters and receivers, such as... Figure 1 As shown, the method includes the following steps S101 to S104:

[0046] Step S101: Send a pragmatic pilot signal to the receiver to be calibrated for pragmatic functions, wherein the pragmatic pilot signal contains the original pragmatic function information of the receiver.

[0047] Step S102: Receive the test results fed back by the receiving end, wherein the test results are obtained by the receiving end testing its corresponding pragmatic functions based on the pragmatic pilot signal.

[0048] Step S103: Compare the test results with the original pragmatic function information of the receiving end, and use a preset deviation function to calculate the pragmatic signal deformation between the sending end and the receiving end.

[0049] Step S104: If the signal distortion is within a preset acceptable range, perform pragmatic communication with the receiving end; otherwise, do not perform pragmatic communication.

[0050] A pioneering work by Weaver demonstrated that communication can be divided into three levels. The lowest level is the technical level, defined by Shannon's classical information theory, which focuses on how to accurately and efficiently transmit symbols (bits) from the transmitter to the receiver. In the middle layer, the semantic layer, the semantic information of the data is extracted and transmitted through a semantic channel. At the higher layer, the effectiveness layer, it is responsible for providing the necessary communication efficiency at the lower two layers. In this invention, the three levels of communication from low to high are referred to as the syntactic level, the semantic level, and the pragmatic level, respectively. The object of this invention is the third layer, the pragmatic level.

[0051] Among them, the intelligent and simplified network is an evolution of the sixth generation (6G) mobile communication network. Intelligent and simplified can be understood as intelligent evolution and native simplicity.

[0052] The pragmatic pilot signal contains a pseudo-random sequence and its corresponding pragmatic functional information. Different pseudo-random sequences correspond to different pragmatic functional information; the pseudo-random sequence can be understood as a label for the pragmatic functional information. The pragmatic pilot signal exists in each node of the intelligent simplified network. Its function is to perform calibration at the pragmatic functional level at the receiver after receiving the pragmatic pilot signal sent by the transmitter, thereby performing channel estimation at the pragmatic functional level.

[0053] In the intelligent and simplified network, any node can act as a transmitter and receiver. When there is a need for channel estimation, the corresponding node can be calibrated at the pragmatic function level by sending pragmatic pilot signals.

[0054] In step S101, the transmitting end sends a pragmatic pilot signal to the receiving end to which pragmatic function calibration is to be performed, wherein the pragmatic pilot signal contains the original pragmatic function information of the receiving end.

[0055] Pragmatic functions refer to the functions possessed by each node in an intelligent and simplified network to meet certain needs. Pragmatic functions are not limited to a single function; for example, they could include facial recognition, image classification, and text translation. In an intelligent and simplified network, because communication nodes are typically integrated with artificial intelligence, these nodes not only receive bitstreams from traditional communication but also possess certain functionalities, which are referred to as pragmatic functions in this invention.

[0056] The pragmatic pilot signal contains the raw pragmatic function information of the receiving end. In the intelligent simplified network, the raw pragmatic function of each node can be obtained through an algorithm similar to routing table updates. For example, based on the RIP protocol for routing table updates, each node in the intelligent simplified network shares its own pragmatic function information and uses it as the raw pragmatic function information of that node.

[0057] For example, the original pragmatic function information of the pragmatic pilot signal used to calibrate the pragmatic function of face recognition can be a face image; the original pragmatic function information of the pragmatic pilot signal used to calibrate the pragmatic function of text translation can be a piece of text.

[0058] In some embodiments, since the hardware and software environments of the transmitting and receiving ends are different, they may both have the same pragmatic layer functions, but the processes for implementing these functions may differ. Therefore, before sending the pragmatic pilot signal to the receiving end, the transmitting end first sends a probe signal to the receiving end to probe the hardware and software environment information of the receiving end, so that the receiving end can correctly identify the pragmatic pilot signal. The hardware and software environment information includes at least hardware information, software information implementing the pragmatic function, and readable data types.

[0059] In some embodiments, when the transmitter sends language pilot information to a designated receiver, if the transmission needs to pass through other nodes in the intelligent simplified network, the other nodes will only forward the language pilot signal and will not perform any processing.

[0060] In step S102, after receiving the pragmatic pilot signal, the receiving end uses the pragmatic pilot signal to test its corresponding pragmatic function, generates test results, and feeds the test results back to the sending end.

[0061] In some embodiments, when multiple pragmatic pilot signals are transmitted simultaneously on the same channel, they should be distinguished.

[0062] Specifically, when there is only one transmitter, that is, when multiple pragmatic pilot signals in the channel are transmitted by one transmitter, the transmitter should number each pragmatic pilot signal and mark its priority so that the receiver can correctly distinguish the pragmatic pilot signals used to calibrate different pragmatic functions and test each pragmatic function according to its priority.

[0063] When multiple transmitters are involved, meaning multiple pragmatic pilot signals in the channel are transmitted by different transmitters, the transmission of each pragmatic pilot signal should be multiplexed according to the traditional communication transmission rules to reduce interference between them. This multiplexing process includes at least one or a combination of time-division multiplexing, frequency-division multiplexing, and space-division multiplexing.

[0064] In some embodiments, when only one transmitter and one receiver are included, when the transmitter sends the same pragmatic pilot signal calibrated for the same pragmatic function to the receiver multiple times within a preset time period, the receiver performs channel estimation processing on the pragmatic pilot signal according to a preset protocol. Specifically, in the absence of a pre-defined default setting, the preset protocol may perform channel estimation processing on only one of the pragmatic pilot signals, that is, the receiver processes only one of the multiple identical pragmatic pilot signals received; in certain special application scenarios, such as scenarios with complex and changeable environments and high requirements for real-time performance and accuracy, the preset protocol may perform channel estimation processing on each pragmatic pilot signal, that is, the receiver needs to process each received pragmatic pilot signal and provide timely feedback.

[0065] In step S103, the test results are compared with the original pragmatic functional information of the receiving end, and the signal deformation at the pragmatic level between the sending end and the receiving end is calculated using a preset deviation function.

[0066] The deviation function needs to be selected based on the specific pragmatic function. For example, the measurement criteria for classification tasks and NLP (Natural Language Processing) tasks are different, so different pragmatic functions have different deviation functions.

[0067] For example, the face recognition function of the receiving end is calibrated. The transmitting end sends a pragmatic pilot signal to the receiving end, wherein the pragmatic pilot signal contains a labeled face image from the face database. After receiving the pragmatic pilot signal, the receiving end obtains the corresponding face image. The receiving end performs face recognition on this face image and obtains a set of recognition data. For example, the recognition data is: the probability of recognizing person A is 0.9, the probability of recognizing person B is 0.07, and the probability of recognizing person C is 0.03. This set of recognition data is fed back to the transmitting end. The transmitting end compares the fed-back recognition data with the original pragmatic function information to determine whether the recognition of the receiving end is correct, thereby completing the pragmatic-level channel estimation.

[0068] In step S104, channel estimation at the pragmatic function level is completed based on the above steps S101 to S103, and the signal distortion at the pragmatic level between the transmitter and receiver is obtained. If the signal distortion is within a preset acceptable range, it means that the channel between the transmitter and receiver can perform pragmatic communication at this moment, and the two start pragmatic communication; if the signal distortion is not within the preset acceptable range, it means that the channel quality between the transmitter and receiver is poor at this moment, and pragmatic communication cannot be performed.

[0069] In some embodiments, if the signal distortion is within a preset acceptable range and the transmitting end and receiving end have already started pragmatic communication, the transmitting end will send a pragmatic pilot signal to the receiving end again every preset time period to monitor the channel status and prevent the channel from deteriorating; if the receiving end fails to meet the requirements for pragmatic communication during the monitoring period, that is, if the signal distortion exceeds the preset acceptable range, the transmitting end will stop communicating with the receiving end.

[0070] Based on the above steps S101 to S104, channel estimation based on pragmatic pilots is realized, and the transmission end and the reception end are determined to communicate based on the channel estimation results.

[0071] In some embodiments, the method provided by the present invention further includes: different pragmatic functions may exhibit different deviations under the same channel conditions, that is, in the case of single transmission and single reception, a pragmatic pilot at the transmitting end can simultaneously calibrate the pragmatic functions of multiple receiving ends to obtain different channel estimates at different pragmatic function levels under the same channel conditions.

[0072] In some embodiments, the method provided by the present invention further includes: the pragmatic pilot signal can be transmitted end-to-end or broadcast. When used for broadcast transmission, the transmitting end broadcasts the pragmatic pilot signal to multiple receiving ends, which not only enables channel estimation between multiple receiving ends, but also allows for the statistical analysis of receiving ends (i.e., network nodes) with corresponding pragmatic functions within the broadcast range, thereby enabling reasonable resource allocation and improving the communication efficiency of the intelligent and simplified network.

[0073] In this invention, pragmatic pilot signals are applicable to channel estimation in both wired and wireless communications. Pragmatic communication is built upon traditional syntactic communication; therefore, pragmatic communication generally also applies to various schemes and criteria of syntactic communication. For example, technologies in the field of syntactic communication such as network slicing, NOMA, and MIMO are also applicable to the transmission of pragmatic pilot signals.

[0074] The invention will be further described below with reference to a specific embodiment, which implements the calibration of the face recognition function of the receiving end, such as... Figure 2 As shown, the sending end is denoted as A, and the receiving end is denoted as B, including the following steps A to E:

[0075] Step A: The sending end A sends a pragmatic pilot signal about the face recognition function to the receiving end B, which needs to perform face recognition function calibration. The pragmatic pilot signal contains the original pragmatic function information of the receiving end B, which is a labeled face image.

[0076] Step B: After receiving the pragmatic pilot signal, receiver B extracts the information carried in the pragmatic pilot signal, namely the face image, and performs functional testing based on this face image. Specifically, the receiver performs face recognition on this face image and obtains a set of recognition data: the probability of recognizing the person as Zhang San is 0.9, the probability of recognizing the person as Li Si is 0.07, and the probability of recognizing the person as Wang Wu is 0.03; this set of recognition data is fed back to sender A as the test result.

[0077] Step C: After receiving the test results from receiver B, sender A compares them with the original face recognition function. Specifically, it extracts the labels of the face images from the original pragmatic function information, determines whether the test results in the receiver are correct, and uses the deviation function of the face recognition function to determine the signal distortion at the pragmatic function level between the sender and receiver.

[0078] Step D: If the sending end A determines that the face recognition function of the receiving end B is within an acceptable range, then it determines that the two can conduct this type of pragmatic communication at this moment, and the two begin pragmatic communication using the face recognition function; if the sending end A determines that the face recognition function of the receiving end B cannot meet the expected requirements, then it determines that the channel quality between the two is poor at this moment, and such pragmatic communication cannot be conducted.

[0079] Step E: If the sending end A and the receiving end B have started this type of pragmatic communication in step D, then the sending end A needs to send the pragmatic pilot signal of the face recognition function again every preset time, that is, repeat step A, in order to monitor the channel status and prevent the channel from deteriorating. If the requirements for this type of pragmatic communication between the sending end A and the receiving end B cannot be met, the communication can be detected and stopped in time.

[0080] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a channel estimation method based on pragmatic pilots.

[0081] Corresponding to the above method, the present invention also provides an apparatus comprising a computer device, the computer device including a processor and a memory, the memory storing computer instructions, the processor executing the computer instructions stored in the memory, and when the computer instructions are executed by the processor, the apparatus performs the steps of the method as described above.

[0082] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned edge computing server deployment method. The computer-readable storage medium can be a tangible storage medium, such as random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, floppy disks, hard disks, removable storage disks, CD-ROMs, or any other form of storage medium known in the art.

[0083] In summary, this invention provides a channel estimation method and apparatus based on pragmatic pilots, comprising: a transmitting end transmitting a pragmatic pilot signal to a receiving end to which pragmatic function calibration is to be performed, the pragmatic pilot signal containing the original pragmatic function information of the receiving end; the receiving end testing its own corresponding pragmatic function according to the pragmatic pilot signal, generating test results and feeding them back to the transmitting end; the transmitting end comparing the test results with the original pragmatic function information of the receiving end, and calculating the pragmatic-level signal distortion between the transmitting end and the receiving end using a preset deviation function; if the signal distortion is within a preset acceptable range, the transmitting end and the receiving end perform pragmatic communication; otherwise, pragmatic communication is not performed. The method provided by this invention utilizes pragmatic pilot signals to calibrate the receiving end at the pragmatic function level, thereby achieving channel estimation at the pragmatic function level.

[0084] Furthermore, during pragmatic communication between the sending and receiving ends, the sending end retransmits pragmatic pilot signals to the receiving end at preset time intervals. This allows for monitoring of the channel status and timely detection of channel quality deterioration. The preset time interval can be set according to the complexity of the environment and the requirements for real-time performance and accuracy, making it suitable for various application scenarios.

[0085] Furthermore, the method provided by this invention is applicable to channel estimation for both wired and wireless communications. The pragmatic pilot signal can be transmitted end-to-end or broadcast, enabling channel estimation while simultaneously statistically analyzing communication nodes with corresponding pragmatic functions within the broadcast range. This allows for rational resource allocation and improves the communication efficiency of the intelligent and simplified network.

[0086] Those skilled in the art will understand that the exemplary components, systems, and methods described in conjunction with the embodiments disclosed herein can be implemented in hardware, software, or a combination of both. Whether implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention. When implemented in hardware, it can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this invention are programs or code segments used to perform the desired tasks. The programs or code segments can be stored in a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried in a carrier wave.

[0087] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0088] In this invention, features described and / or illustrated for one embodiment may be used in the same or similar manner in one or more other embodiments, and / or combined with or in place of features of other embodiments.

[0089] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, various modifications and variations of the embodiments of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A channel estimation method based on pragmatic pilots, characterized in that, The pragmatic pilots are set in each node of the intelligent simplified network. According to the channel estimation requirements, the corresponding nodes in the intelligent simplified network are used as transmitters and receivers. The method is executed at the transmitter and includes the following steps: A pragmatic pilot signal is sent to the receiving end to which pragmatic function calibration is to be performed. The pragmatic pilot signal contains the original pragmatic function information of the receiving end. The receiver receives test results fed back from the receiving end, which are obtained by the receiving end testing its own corresponding pragmatic functions based on the pragmatic pilot signal. The test results are compared with the original pragmatic functional information of the receiving end, and the signal deformation at the pragmatic level between the sending end and the receiving end is calculated using a preset deviation function. If the signal distortion is within a preset acceptable range, pragmatic communication is performed with the receiving end; otherwise, pragmatic communication is not performed.

2. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, Before sending a pragmatic pilot signal to the receiver to be calibrated for pragmatic functions, the method further includes: Based on the RIP protocol for routing table updates, each node in the intelligent simplified network shares its own pragmatic function information to obtain the original pragmatic function information of the receiving end.

3. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, If the signal distortion is within a preset acceptable range, after performing pragmatic communication with the receiving end, the method further includes: The pragmatic pilot signal is sent to the receiving end again at preset time intervals to monitor the channel status; If the signal distortion obtained during monitoring exceeds the preset acceptable range, communication with the receiving end will be stopped.

4. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, The method, which includes only one sender, further includes: Multiple pragmatic pilot signals are sent to the receiving end to calibrate multiple pragmatic functions of the receiving end; Each language pilot signal is numbered and marked with a priority. The receiving end performs tests according to the priority of each language pilot signal.

5. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, The method includes multiple sending ends and further includes: When sending multiple speech pilot signals to the receiving end, multiplexing processing is performed to reduce interference between the speech pilot signals; the multiplexing processing includes at least one or more combinations of time division multiplexing, frequency division multiplexing, and space division multiplexing.

6. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, Before sending a pragmatic pilot signal to the receiver to be calibrated for pragmatic functions, the method further includes: A probe signal is sent to the receiving end to probe the hardware and software environment information of the receiving end; the hardware and software environment information includes at least hardware information, software information that implements pragmatic functions, and readable data types.

7. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, The method includes multiple receiving ends and further includes: The pragmatic pilot signal is broadcast to multiple receiving terminals. To achieve rational allocation of resources, we need to identify network nodes with corresponding pragmatic functions within the broadcast range.

8. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, When sending a pragmatic pilot signal to a receiver to be calibrated for pragmatic functions, the method further includes: If the transmission needs to pass through other nodes in the intelligent and simplified network, the other nodes only forward the pragmatic pilot signal.

9. The channel estimation method based on pragmatic pilots according to claim 1, characterized in that, The method, comprising only one sender and one receiver, further includes: The same pragmatic pilot signal, which calibrates the same pragmatic function, is sent to the receiving end multiple times within a preset time period. According to the application scenario, a preset protocol is set, and the receiving end performs channel estimation processing on the pragmatic pilot signal according to the preset protocol; the preset protocol includes at least performing channel estimation processing on only one pragmatic pilot signal and performing channel estimation processing on each pragmatic pilot signal.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method as described in any one of claims 1 to 9.

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