WO2023230794A1 - Procédé et appareil de positionnement - Google Patents

Procédé et appareil de positionnement Download PDF

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Publication number
WO2023230794A1
WO2023230794A1 PCT/CN2022/096082 CN2022096082W WO2023230794A1 WO 2023230794 A1 WO2023230794 A1 WO 2023230794A1 CN 2022096082 W CN2022096082 W CN 2022096082W WO 2023230794 A1 WO2023230794 A1 WO 2023230794A1
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WIPO (PCT)
Prior art keywords
time domain
sampling points
domain sampling
channel information
communication device
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PCT/CN2022/096082
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English (en)
Chinese (zh)
Inventor
牟勤
洪伟
赵中原
周惠宣
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北京小米移动软件有限公司
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Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to PCT/CN2022/096082 priority Critical patent/WO2023230794A1/fr
Priority to CN202280001854.4A priority patent/CN117480399A/zh
Publication of WO2023230794A1 publication Critical patent/WO2023230794A1/fr

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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

Definitions

  • the present disclosure relates to the field of communication technology, and in particular, to a positioning method and device.
  • 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:
  • 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 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Orthogonal frequency division multiplexing (OFDM) symbols 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.
  • the CIR describes the effect the channel will have on the signal.
  • FIG. 1 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 communication system shown in Figure 1 includes a network device 11 and a terminal device 12 as an example.
  • LTE long term evolution
  • 5th generation fifth generation
  • 5G new radio (NR) system 5th generation new radio
  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • the input dimension of the model is 18*4096*2, and the input dimension is large. .
  • the channel information of resource consumption is A positioning method and device provided by the present disclosure will be introduced in detail below with reference to the accompanying drawings.
  • 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.
  • the method may include but is not limited to the following steps:
  • Step 201 Obtain channel information of X time domain sampling points.
  • 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.
  • the time unit is an OFDM symbol
  • M time domain sampling points can be obtained within one OFDM symbol
  • X time domain sampling points are extracted from the M time domain sampling points.
  • 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.
  • 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.
  • the channel information is uplink channel information
  • the base station can receive the reference signal sent by the terminal device.
  • 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.
  • the channel information is downlink channel information
  • 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.
  • 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).
  • CIR reference signal receiving power
  • RSSI received signal strength indicator
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the value of M may be specified by the protocol, configured by the network side device, or stored in the terminal in advance.
  • 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.
  • 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.
  • the first set is ⁇ X1, X2, X3, X4 ⁇ , from which the network device can select a value as the value of
  • the program may run slowly or even be unable to run.
  • 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.
  • the performance parameters of the network device may include but are not limited to GPU computing power, video memory size, power, etc.
  • the video memory of the first communication device 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • X time domain sampling points 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • N consecutive time domain sampling points can be extracted from M time domain sampling points.
  • N is a positive integer less than M.
  • time domain sampling points 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.
  • the value of N may be specified by the agreement.
  • 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 is a terminal device.
  • 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.
  • 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. .
  • 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.
  • the performance parameters of the network device may include but are not limited to GPU computing power, video memory size, power, etc.
  • 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.
  • X time domain sampling points can be evenly extracted from N consecutive time domain sampling points.
  • 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.
  • 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.
  • 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.
  • 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.
  • uniform sampling is used in a certain or several time periods.
  • continuous sampling is used in other time periods.
  • FIG. 6 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.
  • 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.
  • X time domain sampling points can be non-uniformly extracted from N consecutive time domain sampling points through a random method.
  • 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.
  • the channel information includes RSRP
  • X time domain sampling points with the largest RSRP can be extracted from N consecutive time domain sampling points.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the first communication device is a terminal device
  • 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.
  • the channel measurement device 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the channel measurement device 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.
  • 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.
  • 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.
  • 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.
  • FIG. 9 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
  • the receiving module is used to implement the receiving function.
  • the transceiving module 902 may implement the sending function and/or the receiving function.
  • 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.
  • the transceiver module 902 is used for:
  • 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 transceiver module 902 is used for:
  • the X time domain sampling points are evenly extracted from the M time domain sampling points.
  • the transceiver module 902 is used for:
  • 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 transceiver module 902 is used for:
  • the X time domain sampling points are non-uniformly extracted from the N consecutive time domain sampling points.
  • the transceiver module 902 is used for:
  • the X time domain sampling points are non-uniformly extracted from the N continuous time domain sampling points.
  • 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.
  • the channel information includes received signal strength RSSI
  • 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.
  • the first communication device is the terminal device, and the transceiver module 902 is also used to:
  • the first communication device is a network device
  • the processing module 901 is also used to:
  • the first communication device is a network device
  • the processing module 901 is also used to:
  • the value of X is determined based on the performance parameters of the network device.
  • the first communication device is the terminal device, and the transceiver module 902 is also used to:
  • the first communication device is a network device
  • the processing module 901 is also used to:
  • the value of N is determined from the preset second set.
  • the first communication device is a network device
  • the processing module 901 is also used to:
  • the value of N is determined according to the performance parameters of the network device.
  • the transceiver module 902 is used for:
  • the transceiver module 902 is used for:
  • 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.
  • the channel information includes at least one of the following: channel impulse response CIR; reference signal received power RSRP; received signal strength RSSI.
  • 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.
  • FIG. 10 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.
  • 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.
  • 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.
  • the memory 1002 may also store data.
  • the communication device 1000 and the memory 1002 can be provided separately or integrated together.
  • 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.
  • 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.
  • the processor 1001 may include a transceiver for implementing receiving and transmitting functions.
  • 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.
  • 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.
  • 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.
  • CMOS complementary metal oxide semiconductor
  • NMOS n-type metal oxide-semiconductor
  • PMOS P-type Metal oxide semiconductor
  • BJT bipolar junction transistor
  • BiCMOS bipolar CMOS
  • SiGe silicon germanium
  • GaAs gallium arsenide
  • 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.
  • the communication device may be:
  • the IC collection may also include storage components for storing data and computer programs;
  • the communication device may be a chip or a chip system
  • the schematic structural diagram of the chip shown in FIG. 11 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.
  • the chip also includes a memory 1103, which is used to store necessary computer programs and data.
  • 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.
  • the above embodiments it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof.
  • 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.
  • the computer program 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.
  • magnetic media e.g., floppy disks, hard disks, magnetic tapes
  • optical media e.g., high-density digital video discs (DVD)
  • DVD digital video discs
  • semiconductor media e.g., solid state disks, SSD
  • 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.
  • 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.
  • 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.
  • it is not necessarily required to configure all the correspondences shown in each table.
  • the corresponding relationships shown in some rows may not be configured.
  • 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.
  • 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.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)

Abstract

La présente invention peut être appliquée à une technologie de communication mobile. Cette divulgation concerne un procédé et appareil de positionnement. Le procédé comprend : l'acquisition d'informations de canal de X points d'échantillonnage du domaine temporel, les X points d'échantillonnage du domaine temporel étant extraits de M points d'échantillonnage du domaine temporel correspondant à des unités de temps, X et M étant tous deux des nombres entiers positifs ; et l'entrée des informations de canal des X points d'échantillonnage du domaine temporel dans un modèle de positionnement, de manière à acquérir des informations de position d'un dispositif terminal qui sont émises par le modèle de positionnement. Le procédé réduit la dimensionnalité des données qui sont entrées dans un modèle de positionnement, réduisant ainsi la quantité de ressources consommées par le modèle de positionnement pour traiter les données.
PCT/CN2022/096082 2022-05-30 2022-05-30 Procédé et appareil de positionnement WO2023230794A1 (fr)

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PCT/CN2022/096082 WO2023230794A1 (fr) 2022-05-30 2022-05-30 Procédé et appareil de positionnement
CN202280001854.4A CN117480399A (zh) 2022-05-30 2022-05-30 一种定位方法及装置

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103561469A (zh) * 2013-11-13 2014-02-05 中国科学院信息工程研究所 一种室内定位方法及系统
CN106131958A (zh) * 2016-08-09 2016-11-16 电子科技大学 一种基于信道状态信息和支持向量机的室内被动定位方法
CN106772219A (zh) * 2017-03-08 2017-05-31 南京大学 基于csi信号的室内定位方法
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 (zh) * 2020-11-25 2022-05-27 Oppo广东移动通信有限公司 定位方法、装置、设备、存储介质及系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103561469A (zh) * 2013-11-13 2014-02-05 中国科学院信息工程研究所 一种室内定位方法及系统
CN106131958A (zh) * 2016-08-09 2016-11-16 电子科技大学 一种基于信道状态信息和支持向量机的室内被动定位方法
CN106772219A (zh) * 2017-03-08 2017-05-31 南京大学 基于csi信号的室内定位方法
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 (zh) * 2020-11-25 2022-05-27 Oppo广东移动通信有限公司 定位方法、装置、设备、存储介质及系统

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