WO2023230794A1

WO2023230794A1 - Positioning method and apparatus

Info

Publication number: WO2023230794A1
Application number: PCT/CN2022/096082
Authority: WO
Inventors: 牟勤; 洪伟; 赵中原; 周惠宣
Original assignee: 北京小米移动软件有限公司
Priority date: 2022-05-30
Filing date: 2022-05-30
Publication date: 2023-12-07
Also published as: CN117480399A

Abstract

The present disclosure can be applied to mobile communications technology. Provided are a positioning method and apparatus. The method comprises: acquiring channel information of X time-domain sampling points, wherein the X time-domain sampling points are extracted from M time-domain sampling points corresponding to time units, X and M both being positive integers; and inputting the channel information of the X time-domain sampling points into a positioning model, so as to acquire positional information of a terminal device that is output by the positioning model. The method reduces the dimensionality of data that is input into a positioning model, thus reducing the amount of resources consumed by the positioning model for processing the data.

Description

A positioning method and device

Technical field

The present disclosure relates to the field of communication technology, and in particular, to a positioning method and device.

Background technique

In some scenarios, such as industrial scenarios, the requirements for the positioning accuracy of terminal equipment are very high. However, in such scenarios, there are often many indirect paths, which affects the positioning accuracy. Based on this, a model-based positioning method is proposed, but this positioning method has high requirements on resources.

Contents of the invention

An embodiment of the first aspect of the present disclosure provides a positioning method, which is applied to a first communication device. The method includes:

Obtain channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and X and M are both positive integers;

The channel information of the X time domain sampling points is input into the positioning model to obtain the position information of the terminal device output by the positioning model.

In this technical solution, the first communication device obtains channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and the X time domain sampling points are The channel information of the domain sampling points is input into the positioning model to obtain the position information of the terminal device output by the positioning model. As a result, by reducing the dimensions of the input data of the positioning model, the resource consumption of data processing by the positioning model is reduced.

An embodiment of the second aspect of the present disclosure provides another communication device, which is applied to a first communication device. The communication device includes:

Transceiver module, used to obtain channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and X and M are both positive integers. ;

A processing module configured to input the channel information of the X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

A third embodiment of the present disclosure provides a communication device. The communication device includes a processor. When the processor calls a computer program in a memory, it executes the method described in the first aspect.

A fourth embodiment of the present disclosure provides a communication device. The device includes a processor and a memory. A computer program is stored in the memory. The processor executes the computer program stored in the memory, so that the device The method described in the embodiment of the first aspect is executed.

The embodiment of the fifth aspect of the present disclosure provides another communication device. The device includes a processor and an interface circuit. The interface circuit is used to receive code instructions and transmit them to the processor. The processor is used to run the code instructions to cause The device performs the method described in the first aspect above.

The sixth embodiment of the present disclosure provides a positioning system. The system includes the communication device described in the embodiment of the second aspect, or the system includes the communication device described in the embodiment of the third aspect, or the system includes the fourth aspect. The communication device or the system includes the communication device described in the fifth aspect.

A seventh embodiment of the present disclosure provides a computer-readable storage medium for storing instructions used by the above-mentioned communication device. When the instructions are executed, the communication device is caused to execute the above-described first embodiment. Methods.

An eighth embodiment of the present disclosure also provides a computer program product including a computer program, which when run on a computer causes the computer to execute the method described in the first embodiment.

The ninth aspect of the present disclosure provides a chip system. The chip system includes at least one processor and an interface for supporting the communication device to implement the functions involved in the first aspect, for example, determining or processing the functions involved in the above method. At least one of data and information. In a possible design, the chip system further includes a memory, and the memory is used to store computer programs and data necessary for the communication device. The chip system may be composed of chips, or may include chips and other discrete devices.

The tenth aspect embodiment of the present disclosure also provides a computer program that, when run on a computer, causes the computer to execute the method described in the first aspect embodiment.

Description of the drawings

In order to more clearly illustrate the technical solutions in the embodiments of the disclosure or the background technology, the drawings required to be used in the embodiments or the background technology of the disclosure will be described below.

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

Figure 2 is a schematic flowchart of a positioning method provided by an embodiment of the present disclosure;

Figure 3 is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure;

Figure 4 is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure;

Figure 5 is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure;

Figure 6 is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure;

Figure 7 is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure;

Figure 8 is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure;

Figure 9 is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure;

Figure 10 is a schematic structural diagram of another communication device provided by an embodiment of the present disclosure;

Figure 11 is a schematic structural diagram of a chip provided by an embodiment of the present disclosure.

Detailed ways

For ease of understanding, terminology involved in this disclosure is first introduced.

1. Orthogonal frequency division multiplexing (OFDM) symbols

OFDM symbol is a frequency domain sequence. The so-called frequency domain sequence is composed of points containing different components and the energy contained in the frequency point.

2. Channel impulse response (CIR)

The CIR describes the effect the channel will have on the signal.

In order to better understand a positioning method disclosed in the embodiment of the present disclosure, the communication system to which the embodiment of the present disclosure is applicable is first described below.

Please refer to FIG. 1 , which is a schematic architectural diagram of a communication system provided by an embodiment of the present disclosure. The communication system may include but is not limited to one network device and one terminal device. The number and form of devices shown in Figure 1 are only for examples and do not constitute a limitation on the embodiments of the present disclosure. In actual applications, two or more devices may be included. The above network equipment, two or more terminal devices. The communication system shown in Figure 1 includes a network device 11 and a terminal device 12 as an example.

It should be noted that the technical solutions of the embodiments of the present disclosure can be applied to various communication systems. For example: long term evolution (LTE) system, fifth generation (5th generation, 5G) mobile communication system, 5G new radio (NR) system, or other future new mobile communication systems.

The network device 11 in the embodiment of the present disclosure is an entity on the network side that is used to transmit or receive signals. For example, the network device 101 can be an evolved base station (evolved NodeB, eNB), a transmission point (transmission reception point, TRP), a next generation base station (next generation NodeB, gNB) in an NR system, or other base stations in future mobile communication systems. Or access nodes in wireless fidelity (WiFi) systems, etc. The embodiments of the present disclosure do not limit the specific technologies and specific equipment forms used by network equipment. The network equipment provided by the embodiments of the present disclosure may be composed of a centralized unit (CU) and a distributed unit (DU). The CU may also be called a control unit (control unit). CU-DU is used. The structure can separate the protocol layers of network equipment, such as base stations, and place some protocol layer functions under centralized control on the CU. The remaining part or all protocol layer functions are distributed in the DU, and the CU centrally controls the DU.

The terminal device 12 in the embodiment of the present disclosure is an entity on the user side for receiving or transmitting signals, such as a mobile phone. Terminal equipment can also be called terminal equipment (terminal), user equipment (user equipment, UE), mobile station (mobile station, MS), mobile terminal equipment (mobile terminal, MT), etc. The terminal device can be a car with communication functions, a smart car, a mobile phone, a wearable device, a tablet computer (Pad), a computer with wireless transceiver functions, a virtual reality (VR) terminal device, an augmented reality ( augmented reality (AR) terminal equipment, wireless terminal equipment in industrial control, wireless terminal equipment in self-driving, wireless terminal equipment in remote medical surgery, smart grid ( Wireless terminal equipment in smart grid, wireless terminal equipment in transportation safety, wireless terminal equipment in smart city, wireless terminal equipment in smart home, etc. The embodiments of the present disclosure do not limit the specific technology and specific equipment form used by the terminal equipment.

It can be understood that the communication system described in the embodiments of the present disclosure is to more clearly illustrate the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. As those of ordinary skill in the art will know, With the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

In related technologies, for model-based positioning methods, the input dimensions of the model are very large, which will bring a greater burden to the processing of the model and have relatively high resource requirements. For example, the number of base stations is 18 and the time domain sampling points are 4096. The information of each sampling point is represented by a complex number. The complex number includes the real part and the imaginary part. Then the input dimension of the model is 18*4096*2, and the input dimension is large. . In this disclosure, the channel information of resource consumption. A positioning method and device provided by the present disclosure will be introduced in detail below with reference to the accompanying drawings.

Please refer to Figure 2. Figure 2 is a schematic flowchart of a positioning method provided by an embodiment of the present disclosure. The method is executed by the first communication device. The first communication device may be a terminal device or a network device.

As shown in Figure 2, the method may include but is not limited to the following steps:

Step 201: Obtain channel information of X time domain sampling points.

Among them, X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, X and M are both positive integers, and X≤M.

For example, the time unit is an OFDM symbol, M time domain sampling points can be obtained within one OFDM symbol, and X time domain sampling points are extracted from the M time domain sampling points.

In this disclosure, the channel information of the X time domain sampling points may be measured by the first communication device or measured by the second communication device. In other words, the channel measurement equipment and the equipment where the positioning model is located can be the same or different. The channel information may be uplink channel information or downlink channel information.

For example, the channel information is uplink channel information, and the base station can receive the reference signal sent by the terminal device. At this time, the input of the positioning model is the channel information of X time domain sampling points, where the channel information of each time domain sampling point is represented by a complex number means that the complex number contains real and imaginary parts, then the dimension of the input data of the positioning model is X*2.

For another example, the channel information is downlink channel information, and the terminal device can receive signals sent by n base stations within the positioning range. The input of the positioning model is the channel information of X time domain sampling points on n base stations, including the real part and the imaginary part. , then the dimension of the input data of the positioning model is n*X*2.

In this disclosure, the channel information may include at least one of the following: CIR; reference signal receiving power (RSRP); received signal strength (received signal strength indicator, RSSI).

In some possible implementations, the channel information may be parameters used to characterize channel quality, or parameters used to characterize channel signal strength, or any other channel-related parameters.

Step 202: Input the channel information of X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

After obtaining the channel information of X time domain sampling points, the channel information of the .

In the embodiment of the present disclosure, the first communication device obtains channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and the X time domain sampling points are The channel information of the domain sampling points is input into the positioning model to obtain the position information of the terminal device output by the positioning model. As a result, by reducing the dimensions of the input data of the positioning model, the resource consumption of data processing by the positioning model is reduced.

Please refer to Figure 3. Figure 3 is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure. The method is executed by the first communication device. The channel measurement device is the same as the device where the positioning model is located. The first communication device may be a terminal device or a network device. As shown in Figure 3, the method may include but is not limited to the following steps:

Step 301: Obtain channel information of M time domain sampling points corresponding to the time unit.

In the present disclosure, the first communication device can measure the channel from the second communication device to the first communication device, and obtain channel information of M time domain sampling points corresponding to the time unit.

For the specific explanation of the channel information, please refer to the detailed description in any embodiment of the present disclosure, so it will not be described again here.

Step 302: Extract X time domain sampling points from the M time domain sampling points to obtain channel information of the X time domain sampling points.

In this disclosure, X time domain sampling points can be extracted uniformly, or X time domain sampling points can be extracted non-uniformly to obtain channel information of X time domain sampling points, which is not limited in this disclosure.

In this disclosure, the value of X may be specified by the agreement, or the ratio of X and M may be specified by the agreement. Or, in this disclosure, the value of X may be configured by the network side device, or the ratio of X to M may be configured by the network side device. Or, in this disclosure, the value of X may be pre-stored in the terminal, or the ratio of X and M may be pre-stored in the terminal.

In this disclosure, the value of M may be specified by the protocol, configured by the network side device, or stored in the terminal in advance.

Optionally, if the first communication device is a terminal device, the terminal device may obtain the first indication information sent by the network device. The first indication information is used to indicate the value of X, so that the terminal device can determine the number of sampling points extracted from the M time domain sampling points according to the first indication information. Wherein, the value of The size of the input.

Optionally, the protocol stipulates that the candidate value set of X is the first set. If the first communication device is a network device, the network device can select a value from the first set as the value of X. For example, the first set is {X1, X2, X3, X4}, from which the network device can select a value as the value of

Since the first communication device with a positioning model will be affected by factors such as GPU computing power, video memory usage, energy consumption and other factors when performing positioning model calculations, when the model is too large, the program may run slowly or even be unable to run.

Optionally, if the first communication device is a network device, the network device can determine the value of X based on its own performance parameters, and extract X time domain sampling points from the M time domain sampling points. Among them, the performance parameters of the network device may include but are not limited to GPU computing power, video memory size, power, etc.

For example, when the video memory of the first communication device is small, or the GPU computing power is low, or the battery power is less than the first preset threshold, it is determined that the value of Efficiency; if the video memory of the first communication device is large, or the GPU computing power is high, or the power is greater than or equal to the first threshold, it is determined that the value of X is larger.

Step 303: Input the channel information of X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

In the embodiments of the present disclosure, step 301 can be implemented in any manner in the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

In the embodiment of the present disclosure, the first communication device obtains channel information of M time domain sampling points corresponding to the time unit, and extracts X time domain sampling points from the M time domain sampling points corresponding to the obtained time unit, The channel information of the

Please refer to Figure 4. Figure 4 is a schematic flow chart of another positioning method provided by an embodiment of the present disclosure. The method is executed by a first communication device. The channel measurement device is the same as the device where the positioning model is located. The first communication device can be a terminal device. , or it can be a network device. As shown in Figure 4, the method may include but is not limited to the following steps:

Step 401: Obtain channel information of M time domain sampling points corresponding to the time unit.

In the embodiments of the present disclosure, step 401 can be implemented in any manner in the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

Step 402: Extract X time domain sampling points uniformly from the M time domain sampling points to obtain channel information of the X time domain sampling points.

In the present disclosure, when X time domain sampling points are extracted from M time domain sampling points, X time domain sampling points can be evenly extracted from the M time domain sampling points. For example, if one OFDM symbol corresponds to 4096 time domain sampling points, then 1024 time domain sampling points can be evenly extracted from the 4096 time domain sampling points.

Step 403: Input the channel information of X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

In the embodiments of the present disclosure, step 403 can be implemented in any manner in the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

In the embodiment of the present disclosure, the first communication device obtains channel information of M time domain sampling points corresponding to the time unit, and evenly extracts X time domain sampling points from the M time domain sampling points corresponding to the obtained time unit. , input the channel information of X time domain sampling points into the positioning model, thereby inputting the uniformly extracted The dimensionality of data reduces the resource consumption of data processing by the positioning model.

Please refer to Figure 5. Figure 5 is a schematic flow chart of another positioning method provided by an embodiment of the present disclosure. The method is executed by a first communication device. The channel measurement device is the same as the device where the positioning model is located. The first communication device can be a terminal device. , or it can be a network device. As shown in Figure 5, the method may include but is not limited to the following steps:

Step 501: Obtain channel information of M time domain sampling points corresponding to the time unit.

In the embodiments of the present disclosure, step 501 can be implemented in any manner in the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

Step 502: Extract N consecutive time domain sampling points from M time domain sampling points.

In the present disclosure, N consecutive time domain sampling points can be extracted from M time domain sampling points. Among them, N is a positive integer less than M.

For example, if there are 4096 time domain sampling points corresponding to one OFDM symbol, then 256 time domain sampling points can be continuously extracted from the 4096 time domain sampling points.

In this disclosure, the value of N may be specified by the agreement.

Optionally, if the first communication device is a terminal device, the terminal device may obtain the first indication information sent by the network device. The first indication information is used to indicate the value of N, so that the terminal device can determine the number of sampling points continuously extracted from the M time domain sampling points according to the first indication information. The value of N may be determined by the network device from a preset first set, or may be determined by the network device based on the performance parameters of the terminal device, so that the network device can adaptively modify the model for different terminal devices. The size of the input.

Optionally, the protocol specifies a first set of N value sets. If the first communication device is a network device, the network device can select a value from the preset first set as the value of N. For example, if the first set is {N1, N2, N3, N4}, the network device can select a value from it as the value of N, and continuously extract N time domain sampling points from the M time domain sampling points.

Since the first communication device with a positioning model will be limited by a series of factors such as GPU computing power, video memory usage, energy consumption, etc. when performing positioning model calculations, when the model is too large, the program may run slowly or even be unable to run. .

Optionally, if the first communication device is a network device, the network device can determine the value of N based on its own performance parameters, and continuously extract N time domain sampling points from the M time domain sampling points. Among them, the performance parameters of the network device may include but are not limited to GPU computing power, video memory size, power, etc.

For example, when the video memory of the first communication device is small, or the GPU computing power is low, or the power is less than the preset second threshold, the value of N is determined to be smaller, thereby achieving higher operation at the expense of part of the calculation accuracy. Efficiency; if the video memory of the first communication device is large, or the GPU computing power is high, or the power is greater than or equal to the second threshold, it is determined that the value of N is larger. The second threshold may be the same as or different from the first threshold in the above embodiment, and this disclosure does not limit this.

Step 503: Extract X time domain sampling points evenly from N consecutive time domain sampling points to obtain channel information of the X time domain sampling points.

In the present disclosure, X time domain sampling points can be evenly extracted from N consecutive time domain sampling points. For example, one OFDM symbol corresponds to 4096 time domain sampling points. 256 time domain sampling points can be continuously extracted from the 4096 time domain sampling points, and then 32 time domain sampling points can be evenly extracted from the 256 time domain sampling points. domain sampling points.

Step 504: Input the channel information of X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

In the embodiments of the present disclosure, step 504 can be implemented in any manner in the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

In the embodiment of the present disclosure, by acquiring the channel information of M time domain sampling points corresponding to the time unit, N consecutive time domain sampling points are extracted from the M time domain sampling points corresponding to the acquired time unit, and then N consecutive time domain sampling points are extracted from the N time domain sampling points corresponding to the time unit. X time domain sampling points are evenly extracted from the continuous time domain sampling points, and the channel information of the X time domain sampling points is input into the positioning model. This reduces the input to the positioning model while ensuring positioning accuracy. The dimensionality of data reduces the resource consumption of data processing by the positioning model.

Of course, the method of uniformly extracting time domain sample points as shown in Figure 4 and the method of continuously extracting time domain sample points as shown in Figure 5 can be mixed and used; for example, uniform sampling is used in a certain or several time periods. method, while continuous sampling is used in other time periods. Of course, you can also use uniform sampling in a certain time period or several time periods, and use other sampling methods in other time periods; or use continuous sampling in a certain time period or several time periods, and use other sampling methods in other time periods. Segments adopt other sampling methods; this is not limited in the embodiments of the present disclosure.

Please refer to FIG. 6 , which is a schematic flowchart of another positioning method provided by an embodiment of the present disclosure. The method is executed by the first communication device. As shown in Figure 6, the method may include but is not limited to the following steps:

Step 601: Obtain channel information of M time domain sampling points corresponding to the time unit.

Step 602: Extract N consecutive time domain sampling points from M time domain sampling points.

In the embodiments of the present disclosure, steps 601-602 can be implemented in any manner in the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

Step 603: Extract X time domain sampling points non-uniformly from N consecutive time domain sampling points to obtain channel information of the X time domain sampling points.

In the present disclosure, X time domain sampling points can be non-uniformly extracted from N consecutive time domain sampling points through a random method.

Optionally, X time domain sampling points may be extracted non-uniformly from the N continuous time domain sampling points based on the channel information of the N continuous time domain sampling points.

If the channel information includes RSRP, X time domain sampling points with the largest RSRP can be extracted from N consecutive time domain sampling points. If the channel information includes RSSI, X time domain sampling points with the largest RSSI can be extracted from N consecutive time domain sampling points. Therefore, the channel information of the X time domain sampling points with the largest RSRP among the N consecutive time domain sampling points, or the channel information of the At the same time, it reduces the dimensions of the input data of the positioning model and reduces the resource consumption of the positioning model in processing data.

Step 604: Input the channel information of X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

In the embodiments of the present disclosure, step 604 can be implemented in any manner in the various embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

In the embodiment of the present disclosure, the first communication device obtains channel information of M time domain sampling points corresponding to the time unit, extracts N consecutive time domain sampling points from the M time domain sampling points, and extracts N consecutive time domain sampling points from the N consecutive time domain sampling points. X time domain sampling points are non-uniformly extracted from the time domain sampling points to obtain the channel information of the X time domain sampling points, and the channel information of the While ensuring positioning accuracy, it reduces the dimensions of the input data of the positioning model and reduces the resource consumption of data processing by the positioning model.

Please refer to Figure 7. Figure 7 is a schematic flow chart of another positioning method provided by an embodiment of the present disclosure. The method is executed by the first communication device, and the second communication device performs channel measurement. That is, the location of the channel measurement device and the positioning model is Equipment is different. As shown in Figure 7, the method may include but is not limited to the following steps:

Step 701: Obtain the channel information of X time domain sampling points sent by the second communication device.

Among them, the X time domain sampling points are extracted by the second communication device from the M time domain sampling points corresponding to the time unit.

In this disclosure, the second communication device can measure the channel from the first communication device to the second communication device, obtain channel information of M time domain sampling points corresponding to the time unit, and extract from the M time domain sampling points X time domain sampling points, and send the channel information of the X time domain sampling points to the first communication device.

Among them, the method for the second communication device to extract X time domain sampling points from the M time domain sampling points can be implemented in any of the embodiments of the present disclosure, and the embodiments of the present disclosure do not make any changes in this regard. Limitations will not be repeated.

For example, the first communication device is a terminal device, and the second communication device is a network device. The network device measures the channel from the terminal device to the network device, obtains the channel information of M time domain sampling points corresponding to the time unit, and obtains the channel information from the M time domain sampling points. Extract X time domain sampling points from X time domain sampling points, and send the channel information of the X time domain sampling points to the terminal device. The terminal device will obtain the channel information of the X time domain sampling points sent by the network device.

In this disclosure, when the channel measurement device is different from the device where the positioning model is located, the channel measurement device sends the channel information of X time domain sampling points extracted from the M time domain sampling points corresponding to the time unit to the device where the positioning model is located, so that The amount of data transmission is reduced and the burden of data transmission is reduced.

Step 702: Input the channel information of X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

In the embodiments of the present disclosure, step 702 can be implemented in any manner in the embodiments of the present disclosure. The embodiments of the present disclosure do not limit this and will not be described again.

In the embodiment of the present disclosure, the first communication device obtains the channel information of X time domain sampling points sent by the second communication device, where the X time domain sampling points are extracted from the M time domain sampling points corresponding to the time unit. obtained, and the channel information of X time domain sampling points is input into the positioning model to obtain the position information of the terminal device output by the positioning model. As a result, by reducing the dimensions of the input data of the positioning model, the resource consumption of data processing by the positioning model is reduced.

Please refer to Figure 8. Figure 8 is a schematic flow chart of another positioning method provided by an embodiment of the present disclosure. The method is executed by the first communication device, and the second communication device performs channel measurement. That is, where the channel measurement device and the positioning model are located Equipment is different. As shown in Figure 8, the method may include but is not limited to the following steps:

Step 801: Obtain the channel information and time domain location information of X time domain sampling points sent by the second communication device.

The X time domain sampling points are extracted by the second communication device from the M time domain sampling points corresponding to the time unit, and the time domain location information of the time domain sampling points can be used to indicate the number of the sampling point.

If the second communication device extracts X time domain sampling points from M time domain sampling points, it first extracts N consecutive time domain sampling points from the M time domain sampling points, and then extracts N consecutive time domain sampling points from the N consecutive time domain sampling points. X time domain sampling points are non-uniformly extracted from the sampling points. Due to the non-uniform sampling, the second communication device needs to send the channel information and time domain position information of the X time domain sampling points to the first communication device.

Among them, the method for the second communication device to non-uniformly extract X time domain sampling points from N consecutive time domain sampling points can be implemented in any of the embodiments of the present disclosure. The example does not limit this and will not be repeated.

In this disclosure, when the channel measurement device is different from the device where the positioning model is located, the channel measurement device will extract the channel information of X time domain sampling points from the M time domain sampling points corresponding to the time unit, and the channel information of the X time domain samples. The time domain location information is sent to the device where the positioning model is located, thereby reducing the amount of data transmission and reducing the data transmission burden.

Step 802: Input the channel information and time domain location information of X time domain sampling points into the positioning model to obtain the location information of the terminal.

In this disclosure, the first communication device inputs the channel information and time domain location information of X time domain sampling points into the positioning model, uses the positioning model to position the terminal device, and obtains the position information of the terminal device output by the positioning model.

In the embodiment of the present disclosure, the first communication device obtains the channel information and time domain location information of X time domain sampling points sent by the second communication device, and inputs the channel information and time domain location information of the X time domain sampling points into in the positioning model to obtain the location information of the terminal. As a result, while ensuring positioning accuracy, the dimensions of the input data of the positioning model are reduced, and the resource consumption of data processing by the positioning model is reduced.

Please refer to FIG. 9 , which is a schematic structural diagram of a communication device 900 provided by an embodiment of the present disclosure. The communication device 900 shown in FIG. 9 may include a processing module 901 and a transceiver module 902. The transceiving module 902 may include a sending module and/or a receiving module. The sending module is used to implement the sending function, and the receiving module is used to implement the receiving function. The transceiving module 902 may implement the sending function and/or the receiving function.

It can be understood that the communication device 900 may be a terminal device, or a device in the terminal device, or a device that can be used in conjunction with the terminal device, or it may be a network device, or a device in the network device, It can also be a device that can be used in conjunction with network equipment.

The transceiver module 902 is used to obtain channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and X and M are both positive integer;

The processing module 901 is configured to input the channel information of the X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.

Optionally, the transceiver module 902 is used for:

Obtain the channel information of M time domain sampling points corresponding to the time unit;

The X time domain sampling points are extracted from the M time domain sampling points to obtain channel information of the X time domain sampling points.

Optionally, the transceiver module 902 is used for:

The X time domain sampling points are evenly extracted from the M time domain sampling points.

Optionally, the transceiver module 902 is used for:

Extract N consecutive time domain sampling points from the M time domain sampling points, where N is a positive integer less than M;

The X time domain sampling points are evenly extracted from the N consecutive time domain sampling points.

Optionally, the transceiver module 902 is used for:

Extract N consecutive time domain sampling points from the M time domain sampling points;

The X time domain sampling points are non-uniformly extracted from the N consecutive time domain sampling points.

Optionally, the transceiver module 902 is used for:

According to the channel information of the N continuous time domain sampling points, the X time domain sampling points are non-uniformly extracted from the N continuous time domain sampling points.

Optionally, the channel information includes reference signal received power RSRP, and the transceiver module 902 is used to:

The X time domain sampling points with the largest RSRP are extracted from the N consecutive time domain sampling points.

Optionally, the channel information includes received signal strength RSSI, and the transceiver module 902 is used to:

The X time domain sampling points with the largest RSSI are extracted from the N consecutive time domain sampling points.

Optionally, the first communication device is the terminal device, and the transceiver module 902 is also used to:

Obtain first indication information sent by the network device, where the first indication information is used to indicate the value of X.

Optionally, the first communication device is a network device, and the processing module 901 is also used to:

Determine the value of X from the preset first set.

The value of X is determined based on the performance parameters of the network device.

Obtain second indication information sent by the network device, where the second indication information is used to indicate the value of N.

The value of N is determined from the preset second set.

The value of N is determined according to the performance parameters of the network device.

Optionally, the transceiver module 902 is used for:

Obtain the channel information of the X time domain sampling points sent by the second communication device.

Optionally, the transceiver module 902 is used for:

Obtain the channel information and time domain location information of the X time domain sampling points sent by the second communication device;

The processing module 901 is used for:

The channel information and time domain location information of the X time domain sampling points are input into the positioning model to obtain the location information of the terminal.

Optionally, the channel information includes at least one of the following: channel impulse response CIR; reference signal received power RSRP; received signal strength RSSI.

In this disclosure, the first communication device obtains channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and the X time domain samples are The channel information of the point is input into the positioning model to obtain the position information of the terminal device output by the positioning model. As a result, by reducing the dimensions of the input data of the positioning model, the resource consumption of data processing by the positioning model is reduced.

Please refer to FIG. 10 , which is a schematic structural diagram of another communication device 1000 provided by an embodiment of the present disclosure. The communication device 1000 may be a network device, a terminal device, a chip, a chip system, or a processor that supports a network device to implement the above method, or a chip, a chip system, or a processor that supports a terminal device to implement the above method. Processor etc. The device can be used to implement the method described in the above method embodiment. For details, please refer to the description in the above method embodiment.

Communication device 1000 may include one or more processors 1001. The processor 1001 may be a general-purpose processor or a special-purpose processor, or the like. For example, it can be a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data. The central processor can be used to control communication devices (such as base stations, baseband chips, terminal equipment, terminal equipment chips, DU or CU, etc.) and execute computer programs. , processing data for computer programs.

Optionally, the communication device 1000 may also include one or more memories 1002, on which a computer program 1004 may be stored. The processor 1001 executes the computer program 1004, so that the communication device 1000 performs the steps described in the above method embodiments. method. Optionally, the memory 1002 may also store data. The communication device 1000 and the memory 1002 can be provided separately or integrated together.

Optionally, the communication device 1000 may also include a transceiver 1005 and an antenna 1006. The transceiver 1005 may be called a transceiver unit, a transceiver, a transceiver circuit, etc., and is used to implement transceiver functions. The transceiver 1005 may include a receiver and a transmitter. The receiver may be called a receiver or a receiving circuit, etc., used to implement the receiving function; the transmitter may be called a transmitter, a transmitting circuit, etc., used to implement the transmitting function.

Optionally, the communication device 1000 may also include one or more interface circuits 1007. The interface circuit 1007 is used to receive code instructions and transmit them to the processor 1001 . The processor 1001 executes the code instructions to cause the communication device 1000 to perform the method described in the above method embodiment.

The communication device may be a terminal device or a network device.

The processor 1001 is used to perform the steps in Figures 2-8.

In one implementation, the processor 1001 may include a transceiver for implementing receiving and transmitting functions. For example, the transceiver may be a transceiver circuit, an interface, or an interface circuit. The transceiver circuits, interfaces or interface circuits used to implement the receiving and transmitting functions can be separate or integrated together. The above-mentioned transceiver circuit, interface or interface circuit can be used for reading and writing codes/data, or the above-mentioned transceiver circuit, interface or interface circuit can be used for signal transmission or transfer.

In one implementation, the processor 1001 may store a computer program 1003, and the computer program 1003 runs on the processor 1001, causing the communication device 1000 to perform the method described in the above method embodiment. The computer program 1003 may be solidified in the processor 1001, in which case the processor 1001 may be implemented by hardware.

In one implementation, the communication device 1000 may include a circuit, and the circuit may implement the functions of sending or receiving or communicating in the foregoing method embodiments. The processors and transceivers described in this disclosure may be implemented on integrated circuits (ICs), analog ICs, radio frequency integrated circuits (RFICs), mixed signal ICs, application specific integrated circuits (ASICs), printed circuit boards ( printed circuit board (PCB), electronic equipment, etc. The processor and transceiver can also be manufactured using various IC process technologies, such as complementary metal oxide semiconductor (CMOS), n-type metal oxide-semiconductor (NMOS), P-type Metal oxide semiconductor (positive channel metal oxide semiconductor, PMOS), bipolar junction transistor (BJT), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc.

The communication device described in the above embodiments may be a network device or a terminal device, but the scope of the communication device described in the present disclosure is not limited thereto, and the structure of the communication device may not be limited by FIG. 10 . The communication device may be a stand-alone device or may be part of a larger device. For example, the communication device may be:

(1) Independent integrated circuit IC, or chip, or chip system or subsystem;

(2) A collection of one or more ICs. Optionally, the IC collection may also include storage components for storing data and computer programs;

(3)ASIC, such as modem;

(4) Modules that can be embedded in other devices;

(5) Receivers, terminal equipment, intelligent terminal equipment, cellular phones, wireless equipment, handheld devices, mobile units, vehicle-mounted equipment, network equipment, cloud equipment, artificial intelligence equipment, etc.;

(6) Others, etc.

For the case where the communication device may be a chip or a chip system, refer to the schematic structural diagram of the chip shown in FIG. 11 . The chip shown in Figure 11 includes a processor 1101 and an interface 1103. The number of processors 1101 may be one or more, and the number of interfaces 1103 may be multiple.

For the case where the chip is used to implement the functions of the first communication device in the embodiment of the present disclosure:

Interface 1103, used to execute the steps in Figures 2 to 8, etc.

Optionally, the chip also includes a memory 1103, which is used to store necessary computer programs and data.

Those skilled in the art can also understand that the various illustrative logical blocks and steps listed in the embodiments of the present disclosure can be implemented by electronic hardware, computer software, or a combination of both. Whether such functionality is implemented in hardware or software depends on the specific application and overall system design requirements. Those skilled in the art can use various methods to implement the described functions for each specific application, but such implementation should not be understood as exceeding the scope of protection of the embodiments of the present disclosure.

The present disclosure also provides a readable storage medium on which instructions are stored, and when the instructions are executed by a computer, the functions of any of the above method embodiments are implemented.

The present disclosure also provides a computer program product, which, when executed by a computer, implements the functions of any of the above method embodiments.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, the processes or functions described in accordance with the embodiments of the present disclosure are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program may be stored in or transferred from one computer-readable storage medium to another, for example, the computer program may be transferred from a website, computer, server, or data center Transmission to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more available media integrated. The usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVD)), or semiconductor media (e.g., solid state disks, SSD)) etc.

Those of ordinary skill in the art can understand that the first, second, and other numerical numbers involved in this disclosure are only for convenience of description and are not used to limit the scope of the embodiments of the disclosure, nor to indicate the order.

At least one in the present disclosure can also be described as one or more, and the plurality can be two, three, four or more, and the present disclosure is not limited. In the embodiment of the present disclosure, for a technical feature, the technical feature is distinguished by “first”, “second”, “third”, “A”, “B”, “C” and “D” etc. The technical features described in "first", "second", "third", "A", "B", "C" and "D" are in no particular order or order.

The corresponding relationships shown in each table in this disclosure can be configured or predefined. The values of the information in each table are only examples and can be configured as other values, which is not limited by this disclosure. When configuring the correspondence between information and each parameter, it is not necessarily required to configure all the correspondences shown in each table. For example, in the table in this disclosure, the corresponding relationships shown in some rows may not be configured. For another example, appropriate deformation adjustments can be made based on the above table, such as splitting, merging, etc. The names of the parameters shown in the titles of the above tables may also be other names understandable by the communication device, and the values or expressions of the parameters may also be other values or expressions understandable by the communication device. When implementing the above tables, other data structures can also be used, such as arrays, queues, containers, stacks, linear lists, pointers, linked lists, trees, graphs, structures, classes, heaps, hash tables or hash tables. wait.

Claims

A positioning method, characterized in that it is applied to a first communication device, and the method includes:

Obtain channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and X and M are both positive integers;

The channel information of the X time domain sampling points is input into the positioning model to obtain the position information of the terminal device output by the positioning model.
The method according to claim 1, wherein obtaining the channel information of X time domain sampling points includes:

Obtain the channel information of M time domain sampling points corresponding to the time unit;

The X time domain sampling points are extracted from the M time domain sampling points to obtain channel information of the X time domain sampling points.
The method of claim 2, wherein extracting the X time domain sampling points from the M time domain sampling points includes:

The X time domain sampling points are evenly extracted from the M time domain sampling points.
The method of claim 2, wherein extracting the X time domain sampling points from the M time domain sampling points includes:

Extract N consecutive time domain sampling points from the M time domain sampling points, where N is a positive integer less than M;

The X time domain sampling points are evenly extracted from the N consecutive time domain sampling points.
The method of claim 2, wherein extracting the X time domain sampling points from the M time domain sampling points includes:

Extract N consecutive time domain sampling points from the M time domain sampling points;

The X time domain sampling points are non-uniformly extracted from the N consecutive time domain sampling points.
The method of claim 5, wherein non-uniformly extracting the X time domain sampling points from the N consecutive time domain sampling points includes:

According to the channel information of the N continuous time domain sampling points, the X time domain sampling points are non-uniformly extracted from the N continuous time domain sampling points.
The method of claim 6, wherein the channel information includes reference signal received power RSRP, and the channel information based on the N consecutive time domain sampling points is obtained from the N consecutive time domain sampling points. The X time domain sampling points are extracted non-uniformly from the sampling points, including:

The X time domain sampling points with the largest RSRP are extracted from the N consecutive time domain sampling points.
The method of claim 6, wherein the channel information includes received signal strength RSSI, and the channel information based on the N consecutive time domain sampling points is obtained from the N consecutive time domain samples. The X time domain sampling points are extracted non-uniformly from the points, including:

The X time domain sampling points with the largest RSSI are extracted from the N consecutive time domain sampling points.
The method according to any one of claims 1 to 8, wherein the first communication device is the terminal device, and the method further includes:

Obtain first indication information sent by the network device, where the first indication information is used to indicate the value of X.
The method according to any one of claims 1 to 8, wherein the first communication device is a network device, and the method further includes:

Determine the value of X from the preset first set.
The method according to any one of claims 1 to 8, wherein the first communication device is a network device, and the method further includes:

The value of X is determined based on the performance parameters of the network device.
The method according to any one of claims 4 to 8, wherein the first communication device is the terminal device, and the method further includes:

Obtain second indication information sent by the network device, where the second indication information is used to indicate the value of N.
The method according to any one of claims 4 to 8, wherein the first communication device is a network device, and the method further includes:

The value of N is determined from the preset second set.
The method according to any one of claims 4 to 8, wherein the first communication device is a network device, and the method further includes:

The value of N is determined according to the performance parameters of the network device.
The method according to claim 1, wherein obtaining the channel information of X time domain sampling points includes:

Obtain the channel information of the X time domain sampling points sent by the second communication device.
The method according to claim 1, wherein obtaining the channel information of X time domain sampling points includes:

Obtain the channel information and time domain location information of the X time domain sampling points sent by the second communication device;

The input of the channel information of the X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model includes:

The channel information and time domain location information of the X time domain sampling points are input into the positioning model to obtain the location information of the terminal.
The method of claim 1, wherein the channel information includes at least one of the following:

Channel impulse response CIR;

Reference signal received power RSRP;

Received signal strength RSSI.
A communication device, characterized in that it is applied to a first communication device, and the device includes:

Transceiver module, used to obtain channel information of X time domain sampling points, where the X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit, and X and M are both positive integers. ;

A processing module configured to input the channel information of the X time domain sampling points into the positioning model to obtain the position information of the terminal device output by the positioning model.
The device according to claim 18, characterized in that the transceiver module is used for:

Obtain channel information of M time domain sampling points corresponding to the time unit;

The X time domain sampling points are extracted from the M time domain sampling points to obtain channel information of the X time domain sampling points.
The device according to claim 19, characterized in that the transceiver module is used for:

The X time domain sampling points are evenly extracted from the M time domain sampling points.
The device according to claim 19, characterized in that the transceiver module is used for:

Extract N consecutive time domain sampling points from the M time domain sampling points, where N is a positive integer less than M;

The X time domain sampling points are evenly extracted from the N consecutive time domain sampling points.
The device according to claim 19, characterized in that the transceiver module is used for:

Extract N consecutive time domain sampling points from the M time domain sampling points;

The X time domain sampling points are non-uniformly extracted from the N consecutive time domain sampling points.
The device according to claim 22, characterized in that the transceiver module is used for:

According to the channel information of the N continuous time domain sampling points, the X time domain sampling points are non-uniformly extracted from the N continuous time domain sampling points.
The device of claim 23, wherein the channel information includes reference signal received power RSRP, and the transceiver module is configured to:

The X time domain sampling points with the largest RSRP are extracted from the N consecutive time domain sampling points.
The device according to claim 23, wherein the channel information includes received signal strength RSSI, and the transceiver module is used to:

The X time domain sampling points with the largest RSSI are extracted from the N consecutive time domain sampling points.
The device according to any one of claims 18 to 25, wherein the first communication device is the terminal device, and the transceiver module is also used to:

Obtain first indication information sent by the network device, where the first indication information is used to indicate the value of X.
The device according to any one of claims 18 to 25, wherein the first communication device is a network device, and the processing module is also used to:

Determine the value of X from the preset first set.
The device according to any one of claims 18 to 25, wherein the first communication device is a network device, and the processing module is also used to:

The value of X is determined based on the performance parameters of the network device.
The device according to any one of claims 21 to 25, wherein the first communication device is the terminal device, and the transceiver module is also used to:

Obtain second indication information sent by the network device, where the second indication information is used to indicate the value of N.
The device according to any one of claims 21 to 25, wherein the first communication device is a network device, and the processing module is also used to:

The value of N is determined from the preset second set.
The device according to any one of claims 21 to 25, wherein the first communication device is a network device, and the processing module is also used to:

The value of N is determined according to the performance parameters of the network device.
The device according to claim 18, characterized in that the transceiver module is used for:

Obtain the channel information of the X time domain sampling points sent by the second communication device.
The device according to claim 18, characterized in that the transceiver module is used for:

Obtain the channel information and time domain location information of the X time domain sampling points sent by the second communication device;

The processing module is used for:

The channel information and time domain location information of the X time domain sampling points are input into the positioning model to obtain the location information of the terminal.
The device of claim 18, wherein the channel information includes at least one of the following:

Channel impulse response CIR;

Reference signal received power RSRP;

Received signal strength RSSI.
A communication device, characterized in that the device includes a processor and a memory, a computer program is stored in the memory, and the processor executes the computer program stored in the memory, so that the device executes the claims The method described in any one of 1 to 17.
A computer-readable storage medium for storing instructions, which when executed, enables the method according to any one of claims 1 to 17 to be implemented.