CN117480399A - Positioning method and device - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S1/00—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith
- G01S1/02—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith using radio waves
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Abstract
The present disclosure provides a positioning method and apparatus, which may be applied to a mobile communication technology, where the method includes: obtaining 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 a time unit, and X and M are positive integers; and inputting the channel information of the X time domain sampling points into the positioning model to acquire the position information of the terminal equipment output by the positioning model. According to the method, the dimension of the input data of the positioning model is reduced, so that the resource consumption of the positioning model for processing the data is reduced.
Description
The disclosure relates to the field of communication technologies, and in particular, to a positioning method and device.
In some scenarios, such as industrial scenarios, the requirements on the positioning accuracy of the terminal device are very high, but in such scenarios the positioning accuracy is often affected due to the particularly high number of non-direct paths. Based on this, a positioning method based on a model is proposed, but the positioning method has high requirements on resources.
Disclosure of Invention
An embodiment of a first aspect of the present disclosure provides a positioning method, which is applied to a first communication device, including:
Obtaining 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 a time unit, and X and M are positive integers;
and inputting the channel information of the X time domain sampling points into a positioning model to acquire the position information of the terminal equipment output by the positioning model.
In the technical scheme, a first communication device acquires 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 a time unit, and the channel information of the X time domain sampling points is input into a positioning model to acquire position information of a terminal device output by the positioning model. Therefore, the resource consumption of the positioning model for processing the data is reduced by reducing the dimension of the input data of the positioning model.
Embodiments of a second aspect of the present disclosure provide another communication apparatus applied to a first communication device, the communication apparatus including:
the receiving and transmitting module is used for 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 a time unit, and X and M are positive integers;
And the processing module is used for inputting the channel information of the X time domain sampling points into a positioning model so as to acquire the position information of the terminal equipment output by the positioning model.
An embodiment of a third aspect of the present disclosure provides a communication device comprising a processor, which when calling a computer program in a memory, performs the method of the first aspect described above.
An embodiment of a fourth aspect of the present disclosure provides a communication apparatus, the apparatus comprising a processor and a memory, the memory having stored therein a computer program, the processor executing the computer program stored in the memory to cause the apparatus to perform the method according to the embodiment of the first aspect.
A fifth aspect of the present disclosure provides another communications apparatus comprising a processor and interface circuitry for receiving code instructions and transmitting to the processor, the processor being configured to execute the code instructions to cause the apparatus to perform the method of the first aspect described above.
A sixth aspect of the present disclosure provides a positioning system comprising the communication device according to the second aspect or the communication device according to the third aspect or the communication device according to the fourth aspect or the communication device according to the fifth aspect.
An embodiment of a seventh aspect of the present disclosure provides a computer readable storage medium storing instructions for use by a communication device as described above, which when executed, cause the communication device to perform the method according to the embodiment of the first aspect.
An eighth aspect embodiment of the present disclosure also provides a computer program product comprising a computer program which, when run on a computer, causes the computer to perform the method of the first aspect embodiment described above.
An embodiment of a ninth aspect of the present disclosure provides a chip system comprising at least one processor and an interface for supporting a communication device to implement the functionality referred to in the first aspect, e.g. to determine or process at least one of data and information referred to in the above method. In one possible design, the chip system further includes a memory for holding computer programs and data necessary for the communication device. The chip system can be composed of chips, and can also comprise chips and other discrete devices.
Embodiments of the tenth aspect of the present disclosure also provide a computer program which, when run on a computer, causes the computer to perform the method of the embodiments of the first aspect described above.
In order to more clearly illustrate the technical solutions in the embodiments or the background of the present disclosure, the following description will explain the drawings that are required to be used in the embodiments or the background of the present disclosure.
Fig. 1 is a schematic architecture diagram of a communication system according to an embodiment of the disclosure;
FIG. 2 is a flow chart of a positioning method according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another positioning method provided by an embodiment of the present disclosure;
FIG. 4 is a flow chart of another positioning method provided by an embodiment of the present disclosure;
FIG. 5 is a flow chart of another positioning method provided by an embodiment of the present disclosure;
FIG. 6 is a flow chart of another positioning method provided by an embodiment of the present disclosure;
FIG. 7 is a flow chart of another positioning method provided by an embodiment of the present disclosure;
FIG. 8 is a flow chart of another positioning method provided by an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of a communication device according to an embodiment of the present disclosure;
fig. 10 is a schematic structural diagram of another communication device provided in an embodiment of the present disclosure;
fig. 11 is a schematic structural diagram of a chip provided in an embodiment of the disclosure.
For ease of understanding, the terms referred to in this disclosure are first introduced.
1. Orthogonal frequency division multiplexing (orthogonal frequency division multiplexing, OFDM) symbols
An OFDM symbol is a frequency domain sequence, which is composed of points containing different components and energy contained in the frequency points.
2. Channel impulse response (channel impulse response, CIR)
CIR describes the effect a channel will have on a signal.
In order to better understand a positioning method disclosed in an embodiment of the present disclosure, a description is first given below of a communication system to which the embodiment of the present disclosure is applicable.
Referring to fig. 1, fig. 1 is a schematic architecture diagram of a communication system according to an embodiment of the disclosure. The communication system may include, but is not limited to, a network device, and a terminal device, and the number and form of devices shown in fig. 1 are only for example and not limiting the embodiments of the disclosure, and may include two or more network devices and two or more terminal devices in practical applications. The communication system shown in fig. 1 is exemplified as comprising a network device 11 and a terminal device 12.
It should be noted that the technical solution of the embodiment of the present disclosure may be applied to various communication systems. For example: a long term evolution (long term evolution, LTE) system, a fifth generation (5th generation,5G) mobile communication system, a 5G New Radio (NR) system, or other future new mobile communication systems, etc.
The network device 11 in the embodiment of the present disclosure is an entity for transmitting or receiving signals at the network side. For example, the network device 101 may be an evolved NodeB (eNB), a transmission point (transmission reception point, TRP), a next generation NodeB (gNB) in an NR system, a base station in other future mobile communication systems, or an access node in a wireless fidelity (wireless fidelity, wiFi) system, etc. The embodiments of the present disclosure do not limit the specific technology and specific device configuration employed by the network device. The network device provided by the embodiments of the present disclosure may be composed of a Central Unit (CU) and a Distributed Unit (DU), where the CU may also be referred to as a control unit (control unit), the structure of the CU-DU may be used to split the protocol layers of the network device, such as a base station, and the functions of part of the protocol layers are placed in the CU for centralized control, and the functions of part or all of the protocol layers are distributed in the DU, so that the CU centrally controls the DU.
The terminal device 12 in the embodiments of the present disclosure is an entity on the user side for receiving or transmitting signals, such as a mobile phone. The terminal device may also be referred to as a terminal device (terminal), a User Equipment (UE), a Mobile Station (MS), a mobile terminal device (MT), etc. The terminal device may be an automobile with a communication function, a smart car, a mobile phone (mobile phone), a wearable device, a tablet computer (Pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a wireless terminal device in industrial control (industrial control), a wireless terminal device in unmanned-driving (self-driving), a wireless terminal device in teleoperation (remote medical surgery), a wireless terminal device in smart grid (smart grid), a wireless terminal device in transportation safety (transportation safety), a wireless terminal device in smart city (smart city), a wireless terminal device in smart home (smart home), or the like. The embodiment of the present disclosure does not limit the specific technology and the specific device configuration adopted by the terminal device.
It may be understood that, the communication system described in the embodiments of the present disclosure is for more clearly describing the technical solutions of the embodiments of the present disclosure, and is not limited to the technical solutions provided in the embodiments of the present disclosure, and those skilled in the art can know that, with the evolution of the system architecture and the appearance of new service scenarios, the technical solutions provided in the embodiments of the present disclosure are equally applicable to similar technical problems.
In the related art, the model-based positioning method has very large input dimension, can bring a large burden to the processing of the model, and has high requirements on resources. For example, the number of base stations is 18, the time domain sampling points are 4096, wherein the information of each sampling point is represented by a complex number, the complex number comprises a real part and an imaginary part, the input dimension of the model is 18×4096×2, and the input dimension is larger. In the method, channel information of X time domain sampling points extracted from M time domain sampling points corresponding to a time unit can be input into the positioning model, and the resource consumption of the positioning model for processing data is reduced by reducing the dimension of the input data of the positioning model. A positioning method and apparatus provided by the present disclosure are described in detail below with reference to the accompanying drawings.
Referring to fig. 2, fig. 2 is a flowchart of a positioning method according to an embodiment of the disclosure, where the method is performed by a first communication device. The first communication device may be a terminal device or a network device.
As shown in fig. 2, the method may include, but is not limited to, the steps of:
in step 201, channel information of X time domain sampling points is acquired.
The X time domain sampling points are extracted from M time domain sampling points corresponding to a time unit, X and M are positive integers, and X is less than or equal to M.
For example, the time unit is an OFDM symbol, M time domain sampling points may be acquired in 1 OFDM symbol, and X time domain sampling points are extracted from the M time domain sampling points.
In the present disclosure, channel information of the X time-domain sampling points may be measured by the first communication device or measured by the second communication device. That is, the channel measurement device may be the same as or different from the device in which the positioning model is located. The channel information may be uplink channel information or downlink channel information.
For example, the channel information is uplink channel information, the base station may receive a reference signal sent by the terminal device, where the input of the positioning model is channel information of X time domain sampling points, where the channel information of each time domain sampling point is represented by a complex number, and the complex number includes a real part and an imaginary part, and the dimension of the input data of the positioning model is x×2.
For another example, the channel information is downlink channel information, the terminal device may receive signals sent by n base stations in the positioning range, the input of the positioning model is the channel information of X time domain sampling points on the n base stations, and the real part and the imaginary part are included, and then the dimension of the input data of the positioning model is n×x×2.
In the present disclosure, the channel information may include at least one of: CIR; reference signal received power (reference signal receiving power, RSRP); received signal strength (received signal strength indicator, RSSI).
In some possible implementations, the channel information may be parameters that characterize the channel quality, or parameters that characterize the channel signal strength, or any other channel-related parameters.
Step 202, inputting channel information of the X time domain sampling points into the positioning model to obtain position information of the terminal equipment output by the positioning model.
After the channel information of the X time domain sampling points is obtained, the channel information of the X time domain sampling points can be input into a positioning model, and the positioning model is utilized to position the terminal equipment so as to obtain the position information of the terminal equipment output by the positioning model.
In the embodiment of the disclosure, a first communication device acquires 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 a time unit, and inputs the channel information of the X time domain sampling points into a positioning model to acquire location information of a terminal device output by the positioning model. Therefore, the resource consumption of the positioning model for processing the data is reduced by reducing the dimension of the input data of the positioning model.
Referring to fig. 3, fig. 3 is a flowchart of another positioning method according to an embodiment of the disclosure, where the method is performed by a first communication device, and a channel measurement device is the same as a device where a positioning model is located. The first communication device may be a terminal device or a network device. As shown in fig. 3, the method may include, but is not limited to, the steps of:
step 301, obtaining channel information of M time domain sampling points corresponding to a time unit.
In the disclosure, the first communication device may measure a channel from the second communication device to the first communication device, and obtain channel information of M time domain sampling points corresponding to a time unit.
The specific explanation of the channel information may be referred to in any embodiment of the disclosure, so that the detailed description is omitted herein.
In step 302, X time domain sampling points are extracted from the M time domain sampling points, so as to obtain channel information of the X time domain sampling points.
In the present disclosure, X time-domain sampling points may be uniformly extracted, or X time-domain sampling points may also be non-uniformly extracted to obtain channel information of the X time-domain sampling points, which is not limited in the present disclosure.
In the present disclosure, the value of X may be specified by a protocol, or the ratio of X to M may be specified by a protocol. Or, in the present disclosure, the value of X may be configured by a network side device, or the ratio of X to M may be configured by a network side device. Alternatively, in the present disclosure, the value of X may be pre-stored in the terminal, or the ratio of X to M may be pre-stored in the terminal.
In the present disclosure, the value of M may be specified by a protocol, or configured by a network device, or stored in the terminal in advance.
Optionally, if the first communication device is a terminal device, the terminal device may acquire the first indication information sent by the network device. The first indication information is used for indicating the value of X, so that the terminal equipment can determine the number of sampling points extracted from M time domain sampling points according to the first indication information. The value of X may be determined by the network device from a preset first set, or may be determined by the network device according to a performance parameter of the terminal device, so that the network device may adaptively modify the size of the model input for different terminal devices.
Optionally, the protocol specifies that the candidate set of values of X is a first set, and if the first communication device is a network device, the network device may select a value from the first set as the value of X. For example, the first set is { X1, X2, X3, X4}, from which a value can be selected as the value of X in the network device, and X time-domain sampling points are extracted from the M time-domain sampling points.
Because the first communication device with the positioning model is affected by factors such as GPU computing power, memory occupation, energy consumption and the like when performing the positioning model calculation, when the model is too large, the program may be slow or even impossible to run.
Optionally, if the first communication device is a network device, the network device may determine the value of X according to its performance parameter, and extract X time domain sampling points from the M time domain sampling points. The performance parameters of the network device may include, but are not limited to, GPU computing power, memory size, power, etc.
For example, when the video memory of the first communication device is smaller, or the calculation power of the GPU is lower, or the electric quantity is smaller than a first preset threshold, the value of X is determined to be smaller, so that higher operation efficiency is achieved under the condition that part of calculation accuracy is sacrificed; if the video memory of the first communication device is larger, or the GPU calculation force is higher, or the electric quantity is larger than or equal to a first threshold value, the value of X is larger.
Step 303, inputting 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.
In an embodiment of the present disclosure, step 301 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not repeated herein.
In the embodiment of the disclosure, the first communication device acquires channel information of M time domain sampling points corresponding to a time unit, extracts X time domain sampling points from the M time domain sampling points corresponding to the acquired time unit, and inputs the channel information of the X time domain sampling points into the positioning model, so that the resource consumption of the positioning model for processing data is reduced by reducing the dimension of the input data of the positioning model.
Referring to fig. 4, fig. 4 is a flowchart of another positioning method provided in the embodiment of the present disclosure, where the method is performed by a first communication device, where a channel measurement device is the same as a device where a positioning model is located, and the first communication device may be a terminal device or a network device. As shown in fig. 4, the method may include, but is not limited to, the steps of:
in step 401, channel information of M time domain sampling points corresponding to a time unit is obtained.
In an embodiment of the present disclosure, step 401 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not repeated herein.
In step 402, X time domain sampling points are uniformly extracted from the M time domain sampling points, so as 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 may be uniformly extracted from M time-domain sampling points. For example, the time domain sampling points corresponding to 1 OFDM symbol are 4096, and 1024 time domain sampling points can be uniformly extracted from 4096 time domain sampling points.
Step 403, inputting 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.
In the embodiment of the present disclosure, step 403 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not repeated herein.
In the embodiment of the disclosure, the first communication device uniformly extracts X time domain sampling points from M time domain sampling points corresponding to the acquired time unit by acquiring channel information of the M time domain sampling points corresponding to the time unit, and inputs the channel information of the X time domain sampling points into the positioning model, so that the uniformly extracted X time domain sampling points are input into the positioning model, thereby reducing the dimension of input data of the positioning model and reducing the resource consumption of processing data of the positioning model while ensuring the positioning accuracy.
Referring to fig. 5, fig. 5 is a flowchart of another positioning method provided in an embodiment of the present disclosure, where the method is performed by a first communication device, where a channel measurement device is the same as a device where a positioning model is located, and the first communication device may be a terminal device or a network device. As shown in fig. 5, the method may include, but is not limited to, the steps of:
in step 501, channel information of M time domain sampling points corresponding to a time unit is obtained.
In the embodiment of the present disclosure, step 501 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not repeated herein.
Step 502, extracting N consecutive time domain sampling points from the M time domain sampling points.
In the present disclosure, N consecutive time-domain sampling points may be extracted from M time-domain sampling points. Wherein N is a positive integer less than M.
For example, where the time domain sampling points corresponding to 1 OFDM symbol are 4096, 256 time domain sampling points can be continuously extracted from 4096 time domain sampling points.
In this disclosure, the value of N may be protocol-specified.
Optionally, if the first communication device is a terminal device, the terminal device may acquire the first indication information sent by the network device. The first indication information is used for indicating the value of N, so that the terminal equipment can determine the number of sampling points continuously extracted from 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 according to a performance parameter of the terminal device, so that the network device may adaptively modify the size of the model input for different terminal devices.
Optionally, the protocol specifies a first set of N values, and if the first communication device is a network device, the network device may select a value from the preset first set as the N value. For example, the first set is { N1, N2, N3, N4}, where a value may be selected from among N as the value of N in the network device, and N time-domain sampling points are continuously extracted from M time-domain sampling points.
Because the first communication device with the positioning model is limited by a series of factors such as GPU computing power, memory consumption, and power consumption when performing the positioning model calculation, when the model is too large, the program may be slow or even impossible to run.
Optionally, if the first communication device is a network device, the network device may determine the value of N according to its performance parameter, and continuously extract N time domain sampling points from the M time domain sampling points. The performance parameters of the network device may include, but are not limited to, GPU computing power, memory size, power, etc.
For example, when the video memory of the first communication device is smaller, or the calculation power of the GPU is lower, or the electric quantity is smaller than a preset second threshold value, the value of N is determined to be smaller, so that higher operation efficiency is achieved under the condition that part of calculation accuracy is sacrificed; if the video memory of the first communication device is larger, or the GPU calculation force is higher, or the electric quantity is larger than or equal to a second threshold value, the value of N is larger. The second threshold may be the same as or different from the first threshold in the above embodiment, which is not limited by the present disclosure.
In step 503, X time-domain sampling points are uniformly extracted from N consecutive time-domain sampling points, so as to obtain channel information of the X time-domain sampling points.
In the present disclosure, X time-domain sampling points may be extracted again uniformly from N consecutive time-domain sampling points. For example, the time domain sampling points corresponding to 1 OFDM symbol are 4096, and 256 time domain sampling points can be continuously extracted from 4096 time domain sampling points, and then 32 time domain sampling points are uniformly extracted from 256 time domain sampling points.
Step 504, inputting 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.
In an embodiment of the present disclosure, step 504 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not repeated herein.
In the embodiment of the disclosure, by acquiring the channel information of the M time domain sampling points corresponding to the time unit, extracting N continuous time domain sampling points from the M time domain sampling points corresponding to the acquired time unit, uniformly extracting X time domain sampling points from the N continuous time domain sampling points, and inputting the channel information of the X time domain sampling points into the positioning model, thereby reducing the dimension of the input data of the positioning model and reducing the resource consumption of the processing data of the positioning model while ensuring the positioning accuracy.
Of course, the manner of uniformly extracting the time domain sampling points as shown in fig. 4 and the manner of continuously extracting the time domain sampling points as shown in fig. 5 may be mixed together for use; for example, a uniform sampling pattern is used for one or more time periods, while a continuous sampling pattern is used for other time periods. Of course, a uniform sampling mode can be adopted in a certain time period or a certain time period, and other sampling modes can be adopted in other time periods; or adopting a continuous sampling mode in a certain time period or a certain time period, and adopting other sampling modes in other time periods; the embodiments of the present disclosure are not limited in this regard.
Referring to fig. 6, fig. 6 is a flowchart of another positioning method according to an embodiment of the disclosure, where the method is performed by a first communication device. As shown in fig. 6, the method may include, but is not limited to, the steps of:
in step 601, channel information of M time domain sampling points corresponding to a time unit is obtained.
In step 602, N consecutive time domain sampling points are extracted from the M time domain sampling points.
In the embodiments of the present disclosure, steps 601 to 602 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not described in detail.
In step 603, X time-domain sampling points are unevenly extracted from N consecutive time-domain sampling points, so as to obtain channel information of the X time-domain sampling points.
In the present disclosure, X time-domain sampling points may be non-uniformly extracted from N consecutive time-domain sampling points by a random method.
Alternatively, X time-domain sampling points may be unevenly extracted from N consecutive time-domain sampling points according to channel information of the N consecutive time-domain sampling points.
If the channel information includes RSRP, X time-domain sampling points with the maximum RSRP may be extracted from N consecutive time-domain sampling points. If the channel information includes RSSI, X time-domain sampling points with the greatest RSSI may be extracted from N consecutive time-domain sampling points. Therefore, the channel information of X time domain sampling points with the maximum RSRP in N continuous time domain sampling points or the channel information of X time domain sampling points with the maximum RSSI are input into the positioning model, so that the dimension of the input data of the positioning model is reduced while the positioning accuracy is ensured, and the resource consumption of the positioning model for processing the data is reduced.
Step 604, inputting channel information of the X time domain sampling points into the positioning model to obtain position information of the terminal device output by the positioning model.
In an embodiment of the present disclosure, step 604 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not repeated herein.
In the embodiment of the disclosure, the first communication device extracts N continuous time domain sampling points from the M time domain sampling points by acquiring channel information of M time domain sampling points corresponding to a time unit, and unevenly extracts X time domain sampling points from the N continuous time domain sampling points, so as to acquire channel information of the X time domain sampling points, and inputs the channel information of the X time domain sampling points into the positioning model, thereby reducing the dimension of the input data of the positioning model and reducing the resource consumption of the processing data of the positioning model while ensuring the positioning accuracy.
Referring to fig. 7, fig. 7 is a flowchart of another positioning method according to an embodiment of the disclosure, where the method is performed by a first communication device and channel measurement is performed by a second communication device, that is, the channel measurement device is different from the device where the positioning model is located. As shown in fig. 7, the method may include, but is not limited to, the steps of:
in step 701, channel information of X time domain sampling points sent by the second communication device is obtained.
The second communication device extracts the time-domain sampling points from the M time-domain sampling points corresponding to the time unit.
In the disclosure, the second communication device may measure a channel from the first communication device to the second communication device, obtain channel information of M time domain sampling points corresponding to a time unit, extract X time domain sampling points from the M time domain sampling points, and send the channel information of the X time domain sampling points to the first communication device.
The method for extracting X time domain sampling points from M time domain sampling points by the second communication device may be implemented by any one of the embodiments of the present disclosure, which is not limited and not repeated herein.
For example, the first communication device is a terminal device, the second communication device is a network device, the network device measures a channel from the terminal device to the network device, obtains channel information of M time domain sampling points corresponding to a time unit, extracts X time domain sampling points from the M time domain sampling points, sends the channel information of the X time domain sampling points to the terminal device, and the terminal device obtains the channel information of the X time domain sampling points sent by the network device.
In the method, when the channel measurement equipment is different from the equipment where the positioning model is located, the channel measurement equipment transmits the channel information of the X time domain sampling points extracted from the M time domain sampling points corresponding to the time unit to the equipment where the positioning model is located, so that the data transmission quantity is reduced, and the data transmission burden is reduced.
Step 702, inputting channel information of the X time domain sampling points into the positioning model to obtain position information of the terminal device output by the positioning model.
In an embodiment of the present disclosure, step 702 may be implemented in any manner in each embodiment of the present disclosure, which is not limited to this embodiment, and is not repeated herein.
In the embodiment of the disclosure, the first communication device acquires channel information of X time domain sampling points sent by the second communication device, where the X time domain sampling points are extracted from M time domain sampling points corresponding to a time unit, and inputs the channel information of the X time domain sampling points into the positioning model, so as to acquire location information of the terminal device output by the positioning model. Therefore, the resource consumption of the positioning model for processing the data is reduced by reducing the dimension of the input data of the positioning model.
Referring to fig. 8, fig. 8 is a flowchart of another positioning method according to an embodiment of the disclosure, where the method is performed by a first communication device and channel measurement is performed by a second communication device, that is, the channel measurement device is different from the device where the positioning model is located. As shown in fig. 8, the method may include, but is not limited to, the steps of:
step 801, obtaining channel information and time domain position information of X time domain sampling points sent by a second communication device.
The X time domain sampling points are extracted from M time domain sampling points corresponding to the time unit by the second communication device, and time domain position information of the time domain sampling points can be used for indicating the numbers of the sampling points.
In the disclosure, the second communication device may measure a channel from the first communication device to the second communication device, obtain channel information of M time domain sampling points corresponding to a time unit, extract X time domain sampling points from the M time domain sampling points, and send the channel information of the X time domain sampling points to the first communication device.
If the second communication device extracts X time domain sampling points from the M time domain sampling points, first extracting continuous N time domain sampling points from the M time domain sampling points, and then unevenly extracting X time domain sampling points from the N continuous time domain sampling points, because of uneven sampling, the second communication device needs to send channel information and time domain position information of the X time domain sampling points to the first communication device.
The method of the second communication device for unevenly extracting the X time domain sampling points from the N continuous time domain sampling points may be implemented by any one of the embodiments of the present disclosure, which is not limited and not repeated herein.
In the method, when the channel measurement equipment is different from the equipment where the positioning model is located, the channel measurement equipment transmits channel information of X time domain sampling points extracted from M time domain sampling points corresponding to a time unit and time domain position information of X time domain sampling points to the equipment where the positioning model is located, so that data transmission quantity is reduced, and data transmission load is reduced.
Step 802, inputting channel information and time domain position information of the X time domain sampling points into a positioning model to obtain position information of the terminal.
In the disclosure, a first communication device inputs channel information and time domain position information of X time domain sampling points into a positioning model, and positions a terminal device by using the positioning model so as to obtain position information of the terminal device output by the positioning model.
In the embodiment of the disclosure, a first communication device inputs channel information and time domain position information of X time domain sampling points into a positioning model by acquiring the channel information and time domain position information of the X time domain sampling points sent by a second communication device, so as to acquire position information of a terminal. Therefore, the dimension of the input data of the positioning model is reduced, and the resource consumption of the processing data of the positioning model is reduced while the positioning accuracy is ensured.
Referring to fig. 9, fig. 9 is a schematic structural diagram of a communication device 900 according to an embodiment of the disclosure. The communication device 900 shown in fig. 9 may include a processing module 901 and a transceiver module 902. The transceiver module 902 may include a transmitting module for implementing a transmitting function and/or a receiving module for implementing a receiving function, and the transceiver module 902 may implement the transmitting function and/or the receiving function.
It is to be understood that the communication apparatus 900 may be a terminal device, may be an apparatus in a terminal device, may be an apparatus that can be used in a matching manner with a terminal device, may be a network device, may be an apparatus in a network device, or may be an apparatus that can be used in a matching manner with a network device.
The transceiver module 902 is configured 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 a time unit, and X and M are both positive integers;
the processing module 901 is configured to input channel information of the X time domain sampling points into a positioning model, so as to obtain location information of a terminal device output by the positioning model.
Optionally, the transceiver module 902 is configured to:
Channel information of M time domain sampling points corresponding to the time units is obtained;
and extracting the X time domain sampling points from the M time domain sampling points to acquire channel information of the X time domain sampling points.
Optionally, the transceiver module 902 is configured to:
and uniformly extracting the X time domain sampling points from the M time domain sampling points.
Optionally, the transceiver module 902 is configured to:
extracting N continuous time domain sampling points from the M time domain sampling points, wherein N is a positive integer smaller than M;
and uniformly extracting the X time domain sampling points from the N continuous time domain sampling points.
Optionally, the transceiver module 902 is configured to:
extracting N continuous time domain sampling points from the M time domain sampling points;
the X time domain sampling points are unevenly extracted from the N consecutive time domain sampling points.
Optionally, the transceiver module 902 is configured to:
and according to the channel information of the N continuous time domain sampling points, the X time domain sampling points are unevenly 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 configured to:
And extracting X time domain sampling points with the maximum RSRP from the N continuous time domain sampling points.
Optionally, the channel information includes a received signal strength RSSI, and the transceiver module 902 is configured to:
and extracting X time domain sampling points with the maximum RSSI from the N continuous time domain sampling points.
Optionally, the first communication device is the terminal device, and the transceiver module 902 is further configured to:
and acquiring first indication information sent by the network equipment, wherein the first indication information is used for indicating the value of X.
Optionally, the first communication device is a network device, and the processing module 901 is further configured to:
and determining the value of X from a preset first set.
Optionally, the first communication device is a network device, and the processing module 901 is further configured to:
and determining the value of X according to the performance parameters of the network equipment.
Optionally, the first communication device is the terminal device, and the transceiver module 902 is further configured to:
and acquiring second indicating information sent by the network equipment, wherein the second indicating information is used for indicating the value of N.
Optionally, the first communication device is a network device, and the processing module 901 is further configured to:
And determining the value of N from the preset second set.
Optionally, the first communication device is a network device, and the processing module 901 is further configured to:
and determining the value of N according to the performance parameters of the network equipment.
Optionally, the transceiver module 902 is configured to:
and obtaining channel information of the X time domain sampling points sent by the second communication equipment.
Optionally, the transceiver module 902 is configured to:
channel information and time domain position information of the X time domain sampling points sent by second communication equipment are obtained;
the processing module 901 is configured to:
and inputting the channel information and the time domain position information of the X time domain sampling points into the positioning model to acquire the position information of the terminal.
Optionally, the channel information includes at least one of: channel impulse response, CIR; reference signal received power RSRP; received signal strength RSSI.
In the disclosure, a first communication device acquires 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 a time unit, and inputs the channel information of the X time domain sampling points into a positioning model to acquire location information of a terminal device output by the positioning model. Therefore, the resource consumption of the positioning model for processing the data is reduced by reducing the dimension of the input data of the positioning model.
Referring to fig. 10, fig. 10 is a schematic structural diagram of another communication device 1000 according to an embodiment of the disclosure. The communication device 1000 may be a network device, a terminal device, a chip system, a processor, or the like that supports the network device to implement the above method, or a chip, a chip system, a processor, or the like that supports the terminal device to implement the above method. The device can be used for realizing the method described in the method embodiment, and can be particularly referred to the description in the method embodiment.
The communications 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, a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processor may be used to control communication devices (e.g., base stations, baseband chips, terminal equipment chips, DUs or CUs, etc.), execute computer programs, and process data of the computer programs.
Optionally, the communication device 1000 may further include one or more memories 1002, on which a computer program 1004 may be stored, and the processor 1001 executes the computer program 1004, so that the communication device 1000 performs the method described in the above method embodiments. Optionally, the memory 1002 may also store data. The communication device 1000 and the memory 1002 may be provided separately or may be integrated.
Optionally, the communication device 1000 may further comprise a transceiver 1005, an antenna 1006. The transceiver 1005 may be referred to as a transceiver unit, a transceiver circuit, or the like, for implementing a transceiver function. The transceiver 1005 may include a receiver, which may be referred to as a receiver or a receiving circuit, etc., for implementing a receiving function, and a transmitter; the transmitter may be referred to as a transmitter or a transmitting circuit, etc., for implementing a transmitting function.
Optionally, one or more interface circuits 1007 may also be included in the communications apparatus 1000. 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 method embodiments described above.
The communication device may be a terminal device or a network device.
The processor 1001 is configured to perform the steps of fig. 2-8.
In one implementation, a transceiver for implementing the receive and transmit functions may be included in the processor 1001. For example, the transceiver may be a transceiver circuit, or an interface circuit. The transceiver circuitry, interface or interface circuitry for implementing the receive and transmit functions may be separate or may be integrated. The transceiver circuit, interface or interface circuit may be used for reading and writing codes/data, or the transceiver circuit, interface or interface circuit may be used for transmitting or transferring signals.
In one implementation, the processor 1001 may store a computer program 1003, where the computer program 1003 runs on the processor 1001, and may cause the communication device 1000 to execute 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 communications apparatus 1000 can include circuitry that can implement the functions of transmitting or receiving or communicating in the foregoing method embodiments. The processors and transceivers described in this disclosure may be implemented on integrated circuits (integrated circuit, ICs), analog ICs, radio frequency integrated circuits RFICs, mixed signal ICs, application specific integrated circuits (application specific integrated circuit, ASIC), printed circuit boards (printed circuit board, PCB), electronic devices, and the like. The processor and transceiver may also be fabricated using a variety of IC process technologies such as complementary metal oxide semiconductor (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 (bipolar junction transistor, BJT), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc.
The communication apparatus described in the above embodiment may be a network device, or a terminal device, but the scope of the communication apparatus described in the present disclosure is not limited thereto, and the structure of the communication apparatus may not be limited by fig. 10. The communication means may be a stand-alone device or may be part of a larger device. For example, the communication device may be:
(1) A stand-alone integrated circuit IC, or chip, or a system-on-a-chip or subsystem;
(2) A set of one or more ICs, optionally including storage means for storing data, a computer program;
(3) An ASIC, such as a Modem (Modem);
(4) Modules that may be embedded within other devices;
(5) A receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligent device, and the like;
(6) Others, and so on.
For the case where the communication device may be a chip or a chip system, reference may be made to the schematic structural diagram of the chip shown in fig. 11. The chip shown in fig. 11 includes a processor 1101 and an interface 1103. Wherein the number of processors 1101 may be one or more, and the number of interfaces 1103 may be a plurality.
For the case where the chip is used to implement the function of the first communication device in the embodiments of the present disclosure:
an interface 1103 for performing the steps of fig. 2-8, etc.
Optionally, the chip further comprises a memory 1103, the memory 1103 being used for storing the necessary computer programs and data.
Those of skill in the art will further appreciate that the various illustrative logical blocks (illustrative logical block) and steps (step) described in connection with the embodiments of the disclosure may be implemented by electronic hardware, computer software, or combinations of both. Whether such functionality is implemented as hardware or software depends upon the particular application and design requirements of the overall system. Those skilled in the art may implement the described functionality in varying ways for each particular application, but such implementation is not to be understood as beyond the scope of the embodiments of the present disclosure.
The present disclosure also provides a readable storage medium having instructions stored thereon which, when executed by a computer, perform the functions of any of the method embodiments described above.
The present disclosure also provides a computer program product which, when executed by a computer, performs the functions of any of the method embodiments described above.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer programs. When the computer program is loaded and executed on a computer, the flow or functions described in accordance with the embodiments of the present disclosure are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer program may be stored in or transmitted from one computer readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means from one website, computer, server, or data center. 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 an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
Those of ordinary skill in the art will appreciate that: the various numbers of first, second, etc. referred to in this disclosure are merely for ease of description and are not intended to limit the scope of embodiments of this disclosure, nor to indicate sequencing.
At least one of the present disclosure may also be described as one or more, a plurality may be two, three, four or more, and the present disclosure is not limited. In the embodiment of the disclosure, for a technical feature, the technical features in the technical feature are distinguished by "first", "second", "third", "a", "B", "C", and "D", and the technical features described by "first", "second", "third", "a", "B", "C", and "D" are not in sequence or in order of magnitude.
The correspondence relationships shown in the tables in the present disclosure may be configured or predefined. The values of the information in each table are merely examples, and may be configured as other values, and the present disclosure is not limited thereto. In the case of the correspondence between the configuration information and each parameter, it is not necessarily required to configure all the correspondence shown in each table. For example, in the table in the present disclosure, the correspondence shown by some rows may not be configured. For another example, appropriate morphing adjustments, e.g., splitting, merging, etc., may be made based on the tables described above. The names of the parameters indicated in the tables may be other names which are understood by the communication device, and the values or expressions of the parameters may be other values or expressions which are understood by the communication device. When the tables are implemented, other data structures may be used, for example, an array, a queue, a container, a stack, a linear table, a pointer, a linked list, a tree, a graph, a structure, a class, a heap, a hash table, or a hash table.
Claims (36)
- A positioning method for a first communication device, the method comprising:obtaining 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 a time unit, and X and M are positive integers;and inputting the channel information of the X time domain sampling points into a positioning model to acquire the position information of the terminal equipment output by the positioning model.
- The method of claim 1, wherein the obtaining channel information for the X time domain sampling points comprises:channel information of M time domain sampling points corresponding to the time units is obtained;and extracting the X time domain sampling points from the M time domain sampling points to acquire channel information of the X time domain sampling points.
- The method of claim 2, wherein the extracting the X time domain samples from the M time domain samples comprises:and uniformly extracting the X time domain sampling points from the M time domain sampling points.
- The method of claim 2, wherein the extracting the X time domain samples from the M time domain samples comprises:Extracting N continuous time domain sampling points from the M time domain sampling points, wherein N is a positive integer smaller than M;and uniformly extracting the X time domain sampling points from the N continuous time domain sampling points.
- The method of claim 2, wherein the extracting the X time domain samples from the M time domain samples comprises:extracting N continuous time domain sampling points from the M time domain sampling points;the X time domain sampling points are unevenly extracted from the N consecutive time domain sampling points.
- The method of claim 5, wherein the non-uniformly extracting the X time domain samples from the N consecutive time domain samples comprises:and according to the channel information of the N continuous time domain sampling points, the X time domain sampling points are unevenly extracted from the N continuous time domain sampling points.
- The method of claim 6, wherein the channel information comprises a reference signal received power RSRP, the non-uniformly extracting the X time domain samples from the N consecutive time domain samples based on the channel information for the N consecutive time domain samples, comprising:And extracting X time domain sampling points with the maximum RSRP from the N continuous time domain sampling points.
- The method of claim 6, wherein the channel information comprises received signal strength, RSSI, the non-uniformly extracting the X time domain samples from the N consecutive time domain samples based on the channel information for the N consecutive time domain samples, comprising:and extracting X time domain sampling points with the maximum RSSI from the N continuous time domain sampling points.
- The method of any of claims 1-8, wherein the first communication device is the terminal device, the method further comprising:and acquiring first indication information sent by the network equipment, wherein the first indication information is used for indicating the value of X.
- The method of any of claims 1-8, wherein the first communication device is a network device, the method further comprising:and determining the value of X from a preset first set.
- The method of any of claims 1-8, wherein the first communication device is a network device, the method further comprising:and determining the value of X according to the performance parameters of the network equipment.
- The method of any of claims 4-8, wherein the first communication device is the terminal device, the method further comprising:and acquiring second indicating information sent by the network equipment, wherein the second indicating information is used for indicating the value of N.
- The method of any of claims 4-8, wherein the first communication device is a network device, the method further comprising:and determining the value of N from the preset second set.
- The method of any of claims 4-8, wherein the first communication device is a network device, the method further comprising:and determining the value of N according to the performance parameters of the network equipment.
- The method of claim 1, wherein the obtaining channel information for the X time domain sampling points comprises:and obtaining channel information of the X time domain sampling points sent by the second communication equipment.
- The method of claim 1, wherein the obtaining channel information for the X time domain sampling points comprises:channel information and time domain position information of the X time domain sampling points sent by second communication equipment are obtained;the inputting the channel information of the X time domain sampling points into a positioning model to obtain the position information of the terminal device output by the positioning model includes:And inputting the channel information and the time domain position information of the X time domain sampling points into the positioning model to acquire the position information of the terminal.
- The method of claim 1, wherein the channel information comprises at least one of:channel impulse response, CIR;reference signal received power RSRP;received signal strength RSSI.
- A communication apparatus for use with a first communication device, the apparatus comprising:the receiving and transmitting module is used for 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 a time unit, and X and M are positive integers;and the processing module is used for inputting the channel information of the X time domain sampling points into a positioning model so as to acquire the position information of the terminal equipment output by the positioning model.
- The apparatus of claim 18, wherein the transceiver module is to:channel information of M time domain sampling points corresponding to the time units is acquired;and extracting the X time domain sampling points from the M time domain sampling points to acquire channel information of the X time domain sampling points.
- The apparatus of claim 19, wherein the transceiver module is to:and uniformly extracting the X time domain sampling points from the M time domain sampling points.
- The apparatus of claim 19, wherein the transceiver module is to:extracting N continuous time domain sampling points from the M time domain sampling points, wherein N is a positive integer smaller than M;and uniformly extracting the X time domain sampling points from the N continuous time domain sampling points.
- The apparatus of claim 19, wherein the transceiver module is to:extracting N continuous time domain sampling points from the M time domain sampling points;the X time domain sampling points are unevenly extracted from the N consecutive time domain sampling points.
- The apparatus of claim 22, wherein the transceiver module is to:and according to the channel information of the N continuous time domain sampling points, the X time domain sampling points are unevenly extracted from the N continuous time domain sampling points.
- The apparatus of claim 23, wherein the channel information comprises a reference signal received power, RSRP, the transceiver module to:And extracting X time domain sampling points with the maximum RSRP from the N continuous time domain sampling points.
- The apparatus of claim 23, wherein the channel information comprises a received signal strength, RSSI, the transceiver module to:and extracting X time domain sampling points with the maximum RSSI from the N continuous time domain sampling points.
- The apparatus of any one of claims 18-25, wherein the first communication device is the terminal device, the transceiver module further configured to:and acquiring first indication information sent by the network equipment, wherein the first indication information is used for indicating the value of X.
- The apparatus of any of claims 18-25, wherein the first communication device is a network device, the processing module further to:and determining the value of X from a preset first set.
- The apparatus of any of claims 18-25, wherein the first communication device is a network device, the processing module further to:and determining the value of X according to the performance parameters of the network equipment.
- The apparatus of any one of claims 21-25, wherein the first communication device is the terminal device, the transceiver module further configured to:And acquiring second indicating information sent by the network equipment, wherein the second indicating information is used for indicating the value of N.
- The apparatus of any of claims 21-25, wherein the first communication device is a network device, the processing module further to:and determining the value of N from the preset second set.
- The apparatus of any of claims 21-25, wherein the first communication device is a network device, the processing module further to:and determining the value of N according to the performance parameters of the network equipment.
- The apparatus of claim 18, wherein the transceiver module is to:and obtaining channel information of the X time domain sampling points sent by the second communication equipment.
- The apparatus of claim 18, wherein the transceiver module is to:channel information and time domain position information of the X time domain sampling points sent by second communication equipment are obtained;the processing module is used for:and inputting the channel information and the time domain position information of the X time domain sampling points into the positioning model to acquire the position information of the terminal.
- The apparatus of claim 18, wherein the channel information comprises at least one of:Channel impulse response, CIR;reference signal received power RSRP;received signal strength RSSI.
- A communication device, characterized in that the device comprises a processor and a memory, the memory having stored therein a computer program, the processor executing the computer program stored in the memory to cause the device to perform the method according to any of claims 1 to 17.
- A computer readable storage medium storing instructions which, when executed, cause a method as claimed in any one of claims 1 to 17 to be implemented.
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| PCT/CN2022/096082 WO2023230794A1 (en) | 2022-05-30 | 2022-05-30 | Positioning method and apparatus |
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| CN103561469B (en) * | 2013-11-13 | 2017-02-08 | 中国科学院信息工程研究所 | Method and system for indoor positioning |
| CN106131958A (en) * | 2016-08-09 | 2016-11-16 | 电子科技大学 | A kind of based on channel condition information with the indoor Passive Location of support vector machine |
| CN106772219A (en) * | 2017-03-08 | 2017-05-31 | 南京大学 | Indoor orientation method based on CSI signals |
| US20220141619A1 (en) * | 2020-10-29 | 2022-05-05 | Cognosos, Inc. | Method and system for locating objects within a master space using machine learning on rf radiolocation |
| CN114545326A (en) * | 2020-11-25 | 2022-05-27 | Oppo广东移动通信有限公司 | Positioning method, device, equipment, storage medium and system |
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