WO2022247598A1

WO2022247598A1 - Channel information processing method, mobile communication device, and storage medium

Info

Publication number: WO2022247598A1
Application number: PCT/CN2022/091029
Authority: WO
Inventors: 肖华华; 蒋创新; 鲁照华; 吴昊; 章嘉懿
Original assignee: 中兴通讯股份有限公司
Priority date: 2021-05-26
Filing date: 2022-05-05
Publication date: 2022-12-01
Also published as: CN115413017A

Abstract

A channel information processing method, a mobile communication device, and a storage medium. The channel information processing method comprises: acquiring first channel information (S100); acquiring third channel information from the first channel information (S200); and performing normalization processing on the third channel information to obtain target channel information, wherein the target channel information is used as input data of a positioning model (S300).

Description

Channel information processing method, mobile communication device and storage medium

Cross References to Related Applications

This application is based on a Chinese patent application with application number 202110580504.5 and a filing date of May 26, 2021, and claims the priority of this Chinese patent application. The entire content of this Chinese patent application is hereby incorporated by reference into this application.

technical field

The present application relates to the technical field of communication, in particular to a method for processing channel information, a mobile communication device and a storage medium.

Background technique

Positioning technology plays a very important role in the life and production of modern society, such as automatic driving, map navigation, etc., all need to use positioning technology. With the development of technology, people have higher and higher requirements for positioning accuracy in life and production. However, in the case of non-line-of-sight (NLOS) between the positioning device and the positioned terminal, if the conventional positioning algorithm in related technologies is used, there will be a problem of low positioning accuracy, and the error may Reaching more than ten meters does not meet the needs of life and production.

Artificial Intelligence (AI) technology is an important and promising technology. If positioning technology and AI technology are combined, the positioning accuracy will be greatly improved. However, in some cases, how to obtain the input data required by the AI positioning model is an urgent problem to be solved.

Contents of the invention

The following is an overview of the topics described in detail in this article. This summary is not intended to limit the scope of the claims.

Embodiments of the present application provide a method for processing channel information, a mobile communication device, and a storage medium.

In a first aspect, an embodiment of the present application provides a method for processing channel information, which is applied to a first mobile communication device, and the method includes: obtaining first channel information; obtaining third channel information from the first channel information; Perform normalization processing on the third channel information to obtain target channel information, and the target channel information is used as input data of a positioning model.

In the second aspect, the embodiment of the present application also provides a mobile communication device, including: a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the computer program when executing the computer program. The channel information processing method described in the first aspect above.

In a third aspect, the embodiment of the present application further provides a computer-readable storage medium, storing computer-executable instructions, where the computer-executable instructions are used to execute the channel information processing method as described above.

Additional features and advantages of the application will be set forth in the description which follows, and, in part, will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Description of drawings

The accompanying drawings are used to provide an understanding of the technical solution of the present application, and constitute a part of the description, and are used together with the embodiments of the present application to explain the technical solution of the present application, and do not constitute a limitation to the technical solution of the present application.

FIG. 1 is a schematic diagram of a system architecture for executing a channel information processing method provided by an embodiment of the present application;

FIG. 2 is a flowchart of a method for processing channel information provided by an embodiment of the present application;

Fig. 3 is a flowchart of a method of step S300 in Fig. 2;

Fig. 4 is a flowchart of another method of step S300 in Fig. 2;

Fig. 5 is a flow chart of real number processing for third channel information provided by an embodiment of the present application;

Fig. 6 is a flow chart of real number processing of third channel information provided by another embodiment of the present application;

Fig. 7 is a flowchart of another method of step S300 in Fig. 2;

Fig. 8 is a flowchart of a method of step S350 in Fig. 7;

FIG. 9 is a flowchart of another method of step S350 in FIG. 7;

FIG. 10 is a flowchart of a channel information processing method provided in another embodiment of the present application;

Fig. 11 is a flowchart of a method for processing channel information provided by another embodiment of the present application.

Detailed ways

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

It should be noted that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than in the flowchart. The terms "first", "second" and the like in the specification and claims and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence.

Embodiments of the present application provide a method for processing channel information, a mobile communication device, and a computer-readable storage medium. The first mobile communication device obtains first channel information first, and then obtains third channel information from the first channel information, Next, normalization processing is performed on the third channel information to obtain target channel information as input data of the positioning model. Since the target channel information obtained according to the first channel information can be used as the input data of the positioning model, the input data required by the positioning model can be effectively obtained, which is beneficial for the positioning model to perform positioning processing according to the target channel information.

Embodiments of the present application will be described below in conjunction with the accompanying drawings.

As shown in FIG. 1 , FIG. 1 is a schematic diagram of a system architecture for executing a channel information processing method provided by an embodiment of the present application. In the example shown in FIG. 1 , the system architecture includes multiple terminals 110 and multiple base stations 120, wherein the terminals 110 and the base stations 120 are connected through a mobile communication network. The base station 120 is provided with N _tx antennas, and the antennas may be physical antennas or logical antennas, which are not specifically limited in this embodiment; the terminal 110 is provided with N _rx antennas, and both N _tx and N _rx are greater than or A positive integer equal to 1. The antenna of the base station 120 and the antenna of the terminal 110 form an antenna pair, and each antenna pair corresponds to one channel information. When there are N antenna pairs, there are N channel information corresponding, and N is a positive integer greater than or equal to 1. Wherein, the channel information is channel matrix data, which may be channel matrix data in the form of complex numbers or channel matrix data in the form of real numbers; in addition, the channel information may be two-dimensional matrix data or three-dimensional or more than three-dimensional matrix data, and the channel information The structural form can be determined according to actual application conditions, which is not specifically limited in this embodiment. The channel information includes multiple element sequences, and different element sequences represent channel information from the terminal 110 to different base stations 120 . The element sequence can be expressed in different forms in the channel information. For example, if the channel information is two-dimensional matrix data, the element sequence can be the element row in the two-dimensional matrix data, or it can be the element in the two-dimensional matrix data column; assuming that the channel information is three-dimensional matrix data, the third dimension of the three-dimensional matrix data may be a channel dimension, and in each channel dimension, the element sequence may be an element row or an element column. In this embodiment, the matrix may have multiple equivalent concepts, such as vectors, tensors, arrays, etc., and they can be replaced with each other.

The base station 120 may be an evolved base station (Evolutional Node B, eNodeB) in a long term evolution (Long Term Evolution, LTE), a long term evolution enhanced (Long Term Evolution Advanced, LTE A) system, a fifth generation mobile communication technology (5th Generation Mobile Networks, 5G) network base station equipment or base stations in the future communication system, etc., the base station 120 can be a macro base station, a micro base station, a home base station, a remote wireless base station, a router, a location server (Location Server), a primary cell base station (Primary Cell), cooperative cell base station (Secondary Cell) or location management function (Location Management Function, LMF) equipment and other various network side equipment.

Terminal 110 may be called an access terminal, User Equipment (UE), subscriber unit, subscriber station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, wireless communication device, user agent, or user device. For example, terminal 110 may be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a wireless Handheld devices with communication functions, computing devices or other processing devices connected to wireless modems, vehicle-mounted devices, wearable devices, 5G networks or terminal devices in future 5G or higher networks, etc., are not specifically limited in this embodiment.

In one embodiment, the terminal 110 is provided with an AI positioning model, and the terminal 110 can receive the first positioning reference signal sent by the base station 120 for positioning, and obtain channel information related to positioning through the first positioning reference signal, and then The positioning-related channel information is input into the AI positioning model, so that the AI positioning model performs positioning processing on the terminal 110 according to the positioning-related channel information. Wherein, the first positioning reference signal may be a downlink positioning reference signal (Positioning Reference Signal, PRS) or other reference signals used for positioning, which is not specifically limited in this embodiment. In addition, after the AI positioning model outputs the positioning result information for the terminal 110 , the terminal 110 can feed back the positioning result information to the base station 120 , so that the base station 120 can obtain the position information of the terminal 110 .

In one embodiment, the base station 120 is provided with an AI positioning model, and the base station 120 can receive the second positioning reference signal sent by the terminal 110 for positioning, and obtain channel information related to positioning through the second positioning reference signal, and then The positioning-related channel information is input into the AI positioning model, so that the AI positioning model performs positioning processing on the terminal 110 according to the positioning-related channel information. Wherein, the second positioning reference signal may be an uplink sounding reference signal (Sounding reference signal, SRS) or other reference signal used for positioning, which is not specifically limited in this embodiment.

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

Those skilled in the art can understand that the system architecture shown in Figure 1 does not constitute a limitation to the embodiment of the present application, and may include more or less components than those shown in the illustration, or combine some components, or different components layout.

Based on the above system architecture, various embodiments of the channel information processing method of the present application are proposed below.

As shown in FIG. 2, FIG. 2 is a flowchart of a channel information processing method provided by an embodiment of the present application. The channel information processing method can be applied to a first mobile communication device, such as the terminal 110 or the terminal 110 in the system architecture shown in FIG. 1 base station 120. In FIG. 2 , the first mobile communication device is taken as an example for illustration. The channel information processing method may include but not limited to step S100, step S200 and step S300.

Step S100: Obtain first channel information.

It should be noted that the first channel information may be obtained from the positioning reference signal sent by the second mobile communication device. For example, in this step, when the first mobile communication device is a terminal, the second mobile communication device may be a base station, In this case, the first channel information may be the channel information acquired by the terminal in the PRS; when the first mobile communication device is a base station, the second mobile communication device may be a terminal, and in this case, the first channel The information may be channel information obtained by the base station in the SRS.

It should be noted that, for each transmitting antenna of the base station to each receiving antenna of the terminal, the first channel information may be expressed as a complex matrix of N _bs *N _c , where N _c is the number of subcarriers in the frequency domain, N _bs is the number of base stations. The first channel information includes multiple element sequences, and different element sequences represent channel information from the terminal to different base stations. In addition, the first channel information in this embodiment may also be applicable to the case where the dimension corresponding to the base station is after the subcarrier dimension. In this case, the first channel information may be expressed as a matrix of N _c *N _bs . It should be noted that the channel information processing methods in the subsequent embodiments can be correspondingly applied to the case where the channel information is that the dimension corresponding to the base station is after the subcarrier dimension.

Step S200: Obtain third channel information from the first channel information.

In this step, since the first channel information is obtained in step S100, the third channel information can be obtained from the first channel information, so that in subsequent steps, the input data used as a positioning model can be obtained according to the third channel information target channel information.

It should be noted that the third channel information is time-domain channel matrix data. When the first channel information is time-domain channel matrix data, the third channel information can be directly obtained from the first channel information, which can be: first obtain the selection window parameter, and then obtain the second channel information from the first channel information according to the selection window parameter Three channel information. For example, the selection window parameter is obtained first, and then according to the selection window parameter, the data set from the data corresponding to the K0th sampling point to the data corresponding to the K1th sampling point is selected in the first channel information to obtain the third channel information; Or, first obtain the selection window parameter, and then according to the selection window parameter, select the data set from the data corresponding to the K0th subcarrier to the data corresponding to the K1th subcarrier in the first channel information to obtain the third channel information; wherein, The third channel information is a complex number matrix of N _bs *N _k , where N _k is the length of the selected window, K0 and K1 are both positive integers, and K0 is smaller than K1. In addition, when the first channel information is channel matrix data in the frequency domain, the first channel information may be first converted to obtain the second channel information, and then the third channel information may be obtained from the second channel information. Wherein, performing conversion processing on the first channel information to obtain the second channel information may be performing conversion processing on the first channel information from the frequency domain to the time domain to obtain the second channel information belonging to the time domain channel matrix data. Wherein, converting the first channel information from the frequency domain to the time domain may be performing an inverse discrete Fourier transform (Inverse Discrete Fourier Transform, IDFT) on the first channel information, or performing fast Fourier transform on the first channel information leaf transform (Inverse Fast Fourier Transform, IFFT), which is not specifically limited in this embodiment. For example, assuming that the first channel information is a complex number matrix of N _bs *N _c , then the second channel information obtained by converting the first channel information can be expressed as a complex number matrix of N _bs *N _t , where N _t is the number of sampling points, which can be a positive integer greater than or equal to _Nc , that is to say, for the frequency domain channel corresponding to each base station to perform frequency domain to time domain conversion, or perform frequency domain to time domain conversion in the subcarrier dimension Transformation in the time domain. Obtaining the third channel information from the second channel information may be: first obtaining the selection window parameter, and then obtaining the third channel information from the second channel information according to the selection window parameter. For example, the selection window parameter is obtained first, and then according to the selection window parameter, a data set from the data corresponding to the K0th sampling point to the data corresponding to the K1th sampling point is selected in the second channel information to obtain the third channel information; Or, first obtain the selection window parameter, and then according to the selection window parameter, select the data set from the data corresponding to the K0th subcarrier to the data corresponding to the K1th subcarrier in the second channel information to obtain the third channel information; wherein, The third channel information is a complex number matrix of N _bs *N _k , where N _k is the length of the selected window, K0 and K1 are both positive integers, and K0 is smaller than K1.

It should be noted that the selection window parameters may include a start position of the selection window, a length of the selection window, an end position of the selection window or a position index of a sampling point, etc., which are not specifically limited in this embodiment. It should be noted that, when the first mobile communication device is a terminal, the selection window parameter may be transmitted to the terminal by the base station through high-layer signaling or physical layer signaling.

In an embodiment, before step S200 is performed, row and column transposition processing may be performed on the first channel information, that is, element rows and element columns of the first channel information are transposed.

Step S300: Perform normalization processing on the third channel information to obtain target channel information, which is used as input data of the positioning model.

In this step, since the third channel information is obtained in step S200, normalization processing may be performed on the third channel information, so as to obtain target channel information as input data of a positioning model (such as an AI positioning model).

It should be noted that the target channel information is channel matrix data in the time domain, for example, it may be two-dimensional channel matrix data in the time domain, or it may be three-dimensional or more than three-dimensional channel matrix data in the time domain, and may be based on the format requirements of the input data of the positioning model An appropriate selection is made, which is not specifically limited in this embodiment.

It should be noted that there may be different implementation manners for performing normalization processing on the third channel information, which is not specifically limited in this embodiment. For example, all elements in the third channel information may be divided by the element with the largest absolute value in the third channel information, or all elements in the third channel information may be multiplied by the reciprocal of the element with the largest absolute value in the third channel information, Realize the normalization processing of the third channel information; or, for each element sequence in the third channel information, all the elements in the element sequence can be divided by the element with the largest absolute value in the element sequence, or the element sequence All the elements in are multiplied by the reciprocal of the element with the largest absolute value in the element sequence to realize the normalization of the third channel information; in addition, a constant can also be added or subtracted to all the elements of the third channel information (the constant can be a positive number or a negative number, for example, it can be a fixed value of 0.5 or 0.25, etc., or it can be the average value of all elements of the third channel information), or add Or subtract a constant (the constant can be a positive number or a negative number, for example, it can be a fixed value of 0.5 or 0.25, etc., or it can be the average value of the corresponding element sequence), and then do the above normalization processing, or , add or subtract a constant after the above-mentioned normalization process, and then perform normalization process again. In addition, for the normalization process, it is also possible to firstly subtract the mean value of each element sequence in the third channel information from each element in each element sequence in the third channel information, and then divide by the third channel information The variance of each element sequence in to normalize each element sequence in the third channel information, or it can first subtract all elements in the third channel information from each element in the third channel information and then divide by the variance obtained by all the elements in the third channel information to normalize each element in the third channel information.

In this embodiment, by adopting the channel information processing method including the above steps S100 to S300, the first mobile communication device first obtains the first channel information used for positioning from the second mobile communication device, and then obtains the information from the second channel The third channel information is obtained from the information, and then the third channel information is normalized to obtain the target channel information as the input data of the positioning model. Since the first channel information is information used for positioning, the target channel information obtained according to the first channel information can also be used for positioning, and since the target channel information is information used as input data of the positioning model, the present The embodiment can effectively acquire the input data required by the positioning model, thereby facilitating the positioning model to perform positioning processing according to the target channel information.

It should be noted that, if the positioning model is set on the first mobile communication device, after performing step S300 to obtain the target channel information, the first mobile communication device can directly input the target channel information into the positioning model to implement positioning processing; if the positioning The model is set in the second mobile communication device, then after performing step S300 to obtain the target channel information, the first mobile communication device can send the target channel information to the second mobile communication device, when the second mobile communication device receives the target channel information information, the second mobile communication device may input the target channel information into the positioning model to implement positioning processing.

In an embodiment, as shown in FIG. 3 , step S300 is described. In the case that the third channel information is real number matrix data, step S300 may include but not limited to step S310 and step S320.

Step S310: Determine the element with the largest absolute value in the third channel information as the first target element.

In this step, since the third channel information is real number matrix data, when normalizing the third channel information, the element with the largest absolute value in the third channel information can be determined first, and the element with the largest absolute value As the first target element, the normalization process of the third channel information can be realized according to the first target element in subsequent steps, so that the target channel information as the input data of the positioning model can be obtained.

Step S320: Obtain target channel information according to all elements in the third channel information and the first target element.

In this step, since the first target element is determined in step S310, the normalization process of the third channel information can be realized according to all elements in the third channel information and the first target element, and the positioning model as The target channel information of the input data.

It should be noted that the target channel information may be obtained according to all elements in the third channel information and the first target element, and there may be different implementation manners, which are not specifically limited in this embodiment. For example, all elements in the third channel information may be divided by the first target element to obtain target channel information; or, all elements in the third channel information may be multiplied by the first target element to obtain target channel information; Alternatively, all elements in the third channel information may be added to the first target element to obtain target channel information.

It should be noted that when the first mobile communication device is a terminal, the second mobile communication device is a base station, and the positioning model is set on the second mobile communication device, after the terminal performs step S320 to obtain the target channel information, the terminal can pass the physical layer All or part of the elements of the target channel information are sent to the base station by means of signaling or high-layer signaling, so that the base station can input all or part of the elements of the target channel information into the positioning model for positioning processing. When the first mobile communication device is a base station, the second mobile communication device is a terminal, and the positioning model is set on the second mobile communication device, after the base station performs step S320 to obtain the target channel information, the base station can use physical layer signaling or high-level signaling Send all or part of the elements of the target channel information to the terminal in a command manner, so that the terminal can input all or part of the elements of the target channel information into the positioning model for positioning processing.

It should be noted that, in the process of training the positioning model, the target label information can be obtained by dividing the position coordinate value as the label information by the preset position parameter, so as to train the positioning model with the target label information and training data. For example, assuming that the position coordinate value as label information includes x-axis coordinate value x ₁ and y-axis coordinate value y ₁ , and the preset position parameters include x-axis coordinate value x _max and y-axis coordinate value y _max , then x ₁ and x The ratio of _max is the coordinate value of the target label information on the x-axis, and the ratio of y ₁ to y _max is the coordinate value of the target label information on the y-axis. It should be noted that the x-axis coordinate value x _max of the preset position parameter can be the x-axis coordinate value with the largest numerical value among the position coordinate values of the label information, and the y-axis coordinate value y _max of the preset position parameter can be used as the label The y-axis coordinate value with the largest numerical value in the position coordinate value of the information; when the first mobile communication device is a terminal, the preset position parameter can be configured to the terminal by the base station through high-level signaling or physical layer signaling; when the first mobile communication device When the device is a base station, the preset location parameter can be obtained by the terminal according to the location coordinate value as tag information, and sent to the base station by the terminal through high-layer signaling or physical layer signaling. It is worth noting that after using the target label information and training data to train the positioning model, in the actual application process, after inputting the target channel information into the positioning model to obtain the positioning result information, it is necessary to The x-axis coordinate value is multiplied by the x-axis coordinate value x _max of the preset position parameter, and the y-axis coordinate value in the positioning result information is multiplied by the y-axis coordinate value y _max of the preset position parameter to obtain the actual positioning result information .

In one embodiment, as shown in FIG. 4 , step S300 is described. When the third channel information is real number matrix data, and the third channel information includes multiple element sequences, step S300 may also include but not It is limited to step S330 and step S340.

It should be noted that step S330 and step S340 in this embodiment and step S310 and step S320 in the above-mentioned embodiment shown in FIG. 3 are mutually parallel technical solutions.

Step S330: For each element sequence of the third channel information, obtain a normalized element sequence according to all elements in the element sequence and the element with the largest absolute value in the element sequence.

In this step, since the third channel information is real number matrix data, and the third channel information includes multiple element sequences, when performing normalization processing on the third channel information, each The element with the largest absolute value in an element sequence, and then for each element sequence in the third channel information, according to all elements in the element sequence and the element with the largest absolute value in the element sequence, a normalized element sequence is obtained , so that in subsequent steps, the target channel information as the input data of the positioning model can be obtained according to the normalized element sequence.

It should be noted that the normalized element sequence can be obtained according to all elements in the element sequence and the element with the largest absolute value in the element sequence, and there may be different implementation manners, which are not specifically limited in this embodiment. For example, all elements in the element sequence can be divided by the element with the largest absolute value in the element sequence to obtain a normalized element sequence; or, all elements in the element sequence can be multiplied by the absolute value in the element sequence The largest element can be used to obtain a normalized element sequence; or, all elements in the element sequence can be added to the element with the largest absolute value in the element sequence to obtain a normalized element sequence.

It should be noted that, if the row and column transposition processing is not performed on the first channel information before step S200 is performed, then in this step, the element with the largest absolute value in each row of element sequences can be determined first, and then for each row of element sequences , according to all the elements in the element sequence and the element with the largest absolute value in the element sequence, the normalized element sequence is obtained; if the row and column transposition processing is performed on the first channel information before step S200 is performed, then in In this step, the element with the largest absolute value in each element sequence can be determined first, and then for each element sequence, according to all elements in the element sequence and the element with the largest absolute value in the element sequence, the normalized sequence of elements.

Step S340: Obtain target channel information according to the normalized element sequence.

In this step, since the normalized element sequence is obtained in step S330, all the normalized element sequences can be formed into matrix data according to their position information in the third channel information, so that Target channel information is obtained as input data for the positioning model.

It should be noted that when the first mobile communication device is a terminal, the second mobile communication device is a base station, and the positioning model is set on the second mobile communication device, after the terminal performs step S340 to obtain the target channel information, the terminal can pass the physical layer All or part of the elements of the target channel information are sent to the base station by means of signaling or high-layer signaling, so that the base station can input all or part of the elements of the target channel information into the positioning model for positioning processing. When the first mobile communication device is a base station, the second mobile communication device is a terminal, and the positioning model is set on the second mobile communication device, after the base station performs step S340 to obtain the target channel information, the base station can use physical layer signaling or high-level signaling Send all or part of the elements of the target channel information to the terminal in a command manner, so that the terminal can input all or part of the elements of the target channel information into the positioning model for positioning processing.

In one embodiment, when the third channel information is channel matrix data in complex form, before performing step S300, the channel information processing method may also include but not limited to the following steps:

Realization processing is performed on the third channel information to obtain realized third channel information.

In this step, when the third channel information is channel matrix data in the form of complex numbers, the third channel information can be processed to real numbers first to obtain the third channel information represented by channel matrix data in the form of real numbers, so as to facilitate subsequent In the step, the real-numbered third channel information can be effectively normalized to obtain the target channel information.

It should be noted that the real number processing of the third channel information may be the absolute value of the third channel information, the real part, the imaginary part, the absolute value of the real part or the absolute value of the imaginary part. At least one processing, which is not specifically limited in this embodiment.

It should be noted that the real-numbered third channel information may be represented by a real-number matrix of N _bs *N _k , where N _bs is the number of base stations, and N _k is the length of the selection window.

In an embodiment, as shown in FIG. 5 , performing real-number processing on the third channel information to obtain real-number third channel information may include but not limited to step S410 and step S420 .

Step S410: For each element of the third channel information, perform at least two processes of taking the absolute value, taking the real part, taking the imaginary part, taking the absolute value of the real part or taking the absolute value of the imaginary part, to obtain at least two first Four channel information.

In this step, performing real number processing on the third channel information may be to take the absolute value, take the real part, take the imaginary part, take the absolute value of the real part or take the absolute value of the imaginary part for each element of the third channel information At least two of the values are processed to obtain at least two fourth channel information represented by channel matrix data in the form of real numbers, so that the target channel information can be obtained according to the fourth channel information in subsequent steps. For example, the channel matrix H1 may be obtained by performing real part extraction processing on the third channel information, and the channel matrix H2 may be obtained by performing imaginary part extraction processing, and both the channel matrix H1 and the channel matrix H2 are fourth channel information.

Step S420: Connect at least two pieces of fourth channel information to obtain real-numbered third channel information, wherein the real-numbered third channel information is at least three-dimensional matrix data.

In this step, since at least two pieces of fourth channel information are obtained in step S410, these fourth channel information can be concatenated to obtain real-numbered third channel information, so that in subsequent steps, the real-numbered third channel information can be obtained. The three-channel information obtains the target channel information as input data of the positioning model. For example, assuming that the above-mentioned channel matrix H1 and channel matrix H2 are obtained in step S410, then the channel matrix H1 and the channel matrix H2 can be connected to form a three-dimensional channel matrix H3, and the three-dimensional channel matrix H3 is a N _bs *N _k The real number matrix of *K, wherein, N _bs is the number of base stations, N _k is the length of selection window, K is the quantity of the channel matrix that forms three-dimensional channel matrix H3, is the integer greater than 1, in this example, K's The value is 2; the three-dimensional channel matrix H3 is the real-numbered third channel information in this step.

In one embodiment, as shown in FIG. 6, the third channel information is channel matrix data in complex form corresponding to antenna pairs one-to-one, and there are multiple antennas between the first mobile communication device and the second mobile communication device If yes, performing real digitization processing on the third channel information to obtain real digitized third channel information may also include but not limited to step S430 and step S440.

It should be noted that step S430 and step S440 in this embodiment and step S410 and step S420 in the above embodiment shown in FIG. 5 are mutually parallel technical solutions.

Step S430: For the third channel information corresponding to each antenna pair, take the absolute value, take the real part, take the imaginary part, take the absolute value of the real part or take the absolute value of the imaginary part for each element of the third channel information At least two of them are processed to obtain at least two pieces of fourth channel information.

In this step, for each antenna pair corresponding to the real number processing of the third channel information, the absolute value, real part, imaginary part and real part of each element of the third channel information may be taken value or taking the absolute value of the imaginary part, at least two fourth channel information represented by channel matrix data in the form of real numbers are obtained, so that the target channel information can be obtained according to these fourth channel information in subsequent steps. For example, the channel matrix H1 may be obtained by performing real part extraction processing on the third channel information, and the channel matrix H2 may be obtained by performing imaginary part extraction processing, and both the channel matrix H1 and the channel matrix H2 are fourth channel information.

Step S440: Connect at least two pieces of fourth channel information of multiple antenna pairs to obtain real-numbered third channel information, wherein the real-numbered third channel information is at least three-dimensional matrix data.

In this step, since at least two fourth channel information corresponding to each antenna pair are obtained in step S430, at least two fourth channel information of multiple antenna pairs can be connected to obtain the real-numbered third channel information, so that in subsequent steps, the target channel information as the input data of the positioning model can be obtained according to the real-numbered third channel information. For example, assuming that the above-mentioned channel matrix H1 and channel matrix H2 are obtained in step S430, wherein the channel matrix H1 and the channel matrix H2 correspond to the same antenna pair, then, if there are multiple antenna pairs, the There are multiple channel matrices H1 and multiple channel matrices H2. At this time, each antenna pair can be connected to the corresponding channel matrix H1 and channel matrix H2 to obtain multiple three-dimensional channel matrices H3. Among them, the three-dimensional channel matrix H3 The number is equal to the number of antenna pairs, and each three-dimensional channel matrix H3 is a real number matrix of N _bs *N _k *K, N _bs is the number of base stations, N _k is the length of the selected window, and K is the formation of a three-dimensional channel matrix The quantity of the channel matrix of H3 (that is, channel dimension), in this example, the value of K is 2; Then, connect these three-dimensional channel matrices H3, obtain three-dimensional channel matrix Hc, this three-dimensional channel matrix Hc is a N _bs * A real number matrix of N _k * K1, wherein K1 is the product of K and the number of antenna pairs, for example, when the number of antenna pairs between the first mobile communication device and the second mobile communication device is 1, the three-dimensional channel matrix Hc is Three-dimensional channel matrix H3; when the number of antenna pairs between the first mobile communication device and the second mobile communication device is L, the three-dimensional channel matrix Hc is a real number matrix of N _bs *N _k *(K*L), and L is greater than A positive integer of 1. The three-dimensional channel matrix Hc is the real-numbered third channel information in this step; in addition, the three-dimensional channel matrix H3 can also be linked into a four-dimensional real number matrix of N _bs *N _k *K*L.

In one embodiment, as shown in FIG. 7 , on the basis of the embodiment shown in FIG. 5 , or on the basis of the embodiment shown in FIG. 6 , step S300 is described. Step S300 may also include but not It is limited to step S350 and step S360.

Step S350: Perform normalization processing on the real-numbered third channel information to obtain candidate channel information.

In this step, performing normalization processing on the real-numbered third channel information may have different implementation manners, which are not specifically limited in this embodiment. For example, all the elements in the real-numbered third channel information may be divided by the element with the largest absolute value in the real-numbered third channel information to realize the normalization process of the real-numbered third channel information; or , for each element sequence in the real-numbered third channel information, all the elements in the element sequence can be divided by the element with the largest absolute value in the element sequence to realize the normalization of the real-numbered third channel information processing.

Step S360: Perform dimensionality reduction processing on candidate channel information to obtain target channel information.

Since the realized third channel information obtained in step S420 or step S440 is an at least three-dimensional channel matrix, the candidate channel information obtained in step 350 is also an at least three-dimensional channel matrix, so in this step, Dimensionality reduction processing can be performed on candidate channel information to obtain target channel information as input data of the positioning model. For example, it is assumed that the real-numbered third channel information is a three-dimensional channel matrix of N _bs *N _k *K1, where N _bs is the first dimension of the three-dimensional channel matrix (that is, the dimension of the base station), and N _k is the three-dimensional channel matrix The second dimension of (that is, the sampling point dimension), K1 is the third dimension (that is, the antenna and channel dimension) of the three-dimensional channel matrix, and K1 is the product of K (that is, the channel dimension) and the number of antenna pairs (that is, the antenna dimension) , at this time, the first dimension and the second dimension of the real-numbered third channel information can be combined into one dimension, for example, along the direction of the first dimension, the sequence of elements in the second dimension can be concatenated Together, or, along the direction of the second dimension, the sequence of elements in the first dimension is joined together, so a two-dimensional channel matrix of K2*K1 can be obtained, where the value of K2 is N _bs The product of N k and N _k , the two-dimensional channel matrix is the target channel information used as the input data of the positioning model.

In an embodiment, after the target channel information is obtained, dimension transformation may be performed on the target channel information, so that the target channel information is transformed from K2*K1 to K1*K2 to meet different format requirements of the positioning model for input data.

It should be noted that when the first mobile communication device is a terminal, the second mobile communication device is a base station, and the positioning model is set on the second mobile communication device, after the terminal executes step S360 to obtain the target channel information, the terminal can pass the physical layer All or part of the elements of the target channel information are sent to the base station by means of signaling or high-layer signaling, so that the base station can input all or part of the elements of the target channel information into the positioning model for positioning processing. When the first mobile communication device is a base station, the second mobile communication device is a terminal, and the positioning model is set on the second mobile communication device, after the base station performs step S360 to obtain the target channel information, the base station can use physical layer signaling or high-level signaling Send all or part of the elements of the target channel information to the terminal in a command manner, so that the terminal can input all or part of the elements of the target channel information into the positioning model for positioning processing.

In an embodiment, as shown in FIG. 8 , step S350 is described, and step S350 may include but not limited to step S351 and step S352 .

Step S351: Determine the element with the largest absolute value in the realized third channel information as the second target element.

In this step, since the real-numbered third channel information is real matrix data, when performing normalization processing on the real-numbered third channel information, the element with the largest absolute value in the real-numbered third channel information can be determined first , and use the element with the largest absolute value as the second target element, so that in the subsequent step, the real-numbered third channel information can be normalized according to the second target element, so that candidate channel information can be obtained.

Step S352: Obtain candidate channel information according to all elements in the realized third channel information and the second target element.

In this step, since the second target element is determined in step S351, the normalization of the real-numbered third channel information can be realized according to all elements in the real-numbered third channel information and the second target element processing to obtain candidate channel information, so that target channel information as input data of the positioning model can be obtained according to the candidate channel information in subsequent steps.

It should be noted that the target channel information may be obtained according to all elements in the real-numbered third channel information and the second target element, and there may be different implementation manners, which are not specifically limited in this embodiment. For example, all elements in the realized third channel information may be divided by the second target element to obtain the target channel information; or, all elements in the realized third channel information may be multiplied by the second target element to obtain target channel information; or, all elements in the realized third channel information may be added to the second target element to obtain target channel information.

In one embodiment, as shown in FIG. 9 , in the case that the real-numbered third channel information includes at least one channel dimension, and the channel dimension includes multiple element sequences, step S350 is described, and step S350 is also It may include but not limited to step S353 and step S354.

It should be noted that step S353 and step S354 in this embodiment and step S351 and step S352 in the embodiment shown in Fig. 8 above are mutually parallel technical solutions.

Step S353: For each element sequence in each channel dimension of the real-numbered third channel information, obtain a normalized element sequence according to all elements in the element sequence and the element with the largest absolute value in the element sequence.

In this step, the real-numbered third channel information includes at least one channel dimension, and the channel dimension includes a plurality of element sequences, for example, assuming that the real-numbered third channel information is a three-dimensional channel of N _bs *N _k *K1 matrix, wherein K1 belongs to the channel dimension, and the multiple element sequences included in each channel dimension are element sequences corresponding to N _bs , therefore, when normalizing the real-numbered third channel information, you can first Determine the element with the largest absolute value in each element sequence in each channel dimension of the real-numbered third channel information, and then for each element sequence, according to all elements in the element sequence and the element with the largest absolute value in the element sequence , to obtain a normalized element sequence, so that the candidate channel information can be obtained according to the normalized element sequence in subsequent steps.

It should be noted that if the row and column transposition processing is not performed on the first channel information before step S200 is executed, then in this step, for each channel dimension of the real-numbered third channel information, it is possible to first determine the The element with the largest absolute value in each row of element sequences (that is, the element sequence corresponding to N _bs ), and then for each row of element sequences, according to all elements in the element sequence and the element with the largest absolute value in the element sequence, get the normalized The sequence of elements to be decomposed; if the row and column transposition processing is performed on the first channel information before step S200 is performed, then in this step, for each channel dimension of the real-numbered third channel information, the channel can be determined first The element with the largest absolute value in each element sequence in the dimension (that is, the element sequence corresponding to N _bs ), and then for each element sequence, according to all elements in the element sequence and the element with the largest absolute value in the element sequence, get Normalized sequence of elements.

Step S354: Obtain candidate channel information according to the normalized element sequence.

In this step, since the normalized element sequence is obtained in step S353, all the normalized element sequences can be formed into a matrix according to their position information in the real numbered third channel information data to obtain candidate channel information, so that in a subsequent step, target channel information as input data of the positioning model can be obtained according to the candidate channel information.

In an embodiment, as shown in FIG. 10 , the channel information processing method may further include but not limited to step S500 and step S600.

Step S500: Perform compression processing or interception processing on target channel information to obtain first positioning information parameters.

In this step, since the target channel information is obtained in step S300, the target channel information can be compressed or intercepted to obtain the first positioning information parameter, so that the first positioning information parameter can be input into the following steps Locating the model to implement positioning processing.

It should be noted that performing compression processing on the target channel information may be performing compression processing on the target channel information through an autoencoder. In one embodiment, the self-encoder may include an encoder and a decoder, wherein the encoder is set on the first mobile communication device, and the decoder is set on the second mobile communication device; the first mobile communication device first inputs the target channel information to the encoder, the encoder outputs the first positioning information parameter after compressing and quantizing the target channel information, and then, the first mobile communication device sends the first positioning information parameter to the second mobile communication device, and the second mobile communication device sends the first positioning information parameter to the second mobile communication device. The first positioning information parameter is input to the decoder, and the decoder performs restoration processing on the first positioning information parameter, and outputs target channel information. By compressing the target channel information, the information overhead sent by the first mobile communication device to the second mobile communication device can be reduced, thereby reducing network bandwidth occupation and improving information transmission efficiency.

It should be noted that the interception processing of the target channel information may be the interception processing of the target channel information through some functional components in the positioning model. In one embodiment, the positioning model may include an intercepting functional component and a positioning functional component, wherein the intercepting functional component is set on the first mobile communication device, and the positioning functional component is set on the second mobile communication device; The channel information is input to the intercepting functional part, and the intercepting functional part intercepts the target channel information, and outputs the first positioning information parameter, wherein, the first positioning information parameter is the key characteristic information in the target channel information, for example, assuming that the target channel information is A K2*K1 two-dimensional channel matrix, after the interception functional part intercepts the two-dimensional channel matrix, it outputs a first positioning information parameter of L1*L2, wherein the value of L1*L2 is much smaller than the value of K2*K1 , and L2 is much smaller than L1; then, the first mobile communication device sends the first positioning information parameter to the second mobile communication device, and the second mobile communication device inputs the first positioning information parameter to the positioning function component, and the positioning function The component performs positioning processing according to the first positioning information parameter and outputs positioning result information. By intercepting the target channel information, the information overhead sent by the first mobile communication device to the second mobile communication device can be reduced, thereby reducing network bandwidth occupation and improving information transmission efficiency.

Step S600: Send the first positioning information parameter to the second mobile communication device, so that the second mobile communication device performs positioning processing according to the first positioning information parameter and the positioning model.

In this step, after the first positioning information parameter is obtained in step S500, the first positioning information parameter may be sent to the second mobile communication device, so that the second mobile communication device performs positioning according to the first positioning information parameter and the positioning model deal with.

It should be noted that when the first positioning information parameter is obtained by compressing the target channel information, after receiving the first positioning information parameter, the second mobile communication device needs to first decompress the first positioning information parameter and restore it to the target channel information, and then input the target channel information into the positioning model, so that the positioning model uses the target channel information to perform positioning processing and output positioning result information. When the first positioning information parameter is obtained by intercepting the target channel information, the second mobile communication device can directly input the first positioning information parameter into the positioning model after receiving the first positioning information parameter, so that the positioning model uses The first positioning information parameter performs positioning processing and outputs positioning result information.

It should be noted that the positioning result information output by the positioning model can be specific position information, such as position information in absolute coordinates, position information in relative coordinates, etc., or parameters used to estimate the user's position, such as signal arrival The time, signal arrival time difference, signal arrival angle, signal departure angle, etc. are not specifically limited in this embodiment. Among them, the signal arrival time refers to the time when the positioning signal sent by the base station arrives at the terminal, the signal arrival time difference refers to the time difference when different positioning signals sent by different base stations arrive at the terminal, and the signal arrival angle refers to the positioning signal sent by the base station. The angle at which the signal arrives at the terminal, and the signal departure angle refers to the angle at which the positioning signal sent by the base station leaves the base station.

In an embodiment, as shown in FIG. 11 , the channel information processing method may further include but not limited to step S700, step S800 and step S900.

It should be noted that Step S700 to Step S900 in this embodiment are technical solutions in parallel with Step S500 and Step S600 in the above embodiment shown in FIG. 10 .

Step S700: Determine a third target element in the target channel information that is greater than a preset threshold.

In this step, since the target channel information is obtained in step S300, the third target element in the target channel information that is greater than the preset threshold can be determined, so that the positioning process can be realized according to the third target element and the positioning model in subsequent steps .

It should be noted that since the target channel information is a matrix of real numbers, the preset threshold value is a real number, such as a positive integer greater than 0, where the preset threshold value can be obtained by configuring the base station, and the preset threshold value can be adjusted appropriately according to the actual application situation. The selection of this embodiment does not specifically limit it. In addition, it should be noted that since the preset threshold is a real number, there are multiple third target elements in the target channel information that are greater than the preset threshold, and the position of the third target element in the target channel information may is fragmented.

Step S800: According to the third target element and the position index information of the third target element in the target channel information, obtain the second positioning information parameter.

In this step, since the third target element greater than the preset threshold is determined in step S700, and the position of the third target element in the target channel information may be scattered, it is necessary to determine the position of the third target element in the target channel information The position index information, and then according to the position index information and the third target element to obtain the second positioning information parameters, so that the second positioning information parameters can be input into the positioning model in the subsequent steps to realize positioning processing.

In one embodiment, assuming that a target channel information of N _bs *N _k *K1 is obtained in step S300, then Nc base stations for positioning can be selected first, for example, Nc base stations with the highest received power, wherein, Nc is a positive integer; then, for each of the Nc base stations, for each channel dimension, select P elements greater than the preset threshold and the position index information corresponding to these elements, and the number of elements is obtained as _Nc * The second location information parameter of P*K1.

Step S900: Send the second positioning information parameter to the second mobile communication device, so that the second mobile communication device performs positioning processing according to the second positioning information parameter and the positioning model.

In this step, after the second positioning information parameter is obtained in step S800, the second positioning information parameter may be sent to the second mobile communication device, and after the second mobile communication device receives the second positioning information parameter, the second The mobile communication device may input the second positioning information parameter into the positioning model, so that the positioning model uses the second positioning information parameter to perform positioning processing and output positioning result information.

In addition, an embodiment of the present application also provides a mobile communication device, which includes: a memory, a processor, and a computer program stored in the memory and operable on the processor.

The processor and memory can be connected by a bus or other means.

As a non-transitory computer-readable storage medium, memory can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory includes memory located remotely from the processor, and these remote memories may be connected to the processor through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

It should be noted that the mobile communication device in this embodiment can be applied to, for example, the terminal 110 or the base station 120 in the embodiment shown in FIG. 1 , and the mobile communication device in this embodiment can constitute, for example, the These embodiments all belong to the same inventive concept, so these embodiments have the same implementation principle and technical effect, and will not be described in detail here.

The non-transitory software programs and instructions required to implement the channel information processing method of the above-mentioned embodiment are stored in the memory, and when executed by the processor, the channel information processing method in the above-mentioned embodiment is executed, for example, executing the above-described Figure 2 Method steps S100 to S300 in, method steps S310 to S320 in Fig. 3, method steps S330 to S340 in Fig. 4, method steps S410 to S420 in Fig. 5, method steps S430 to S440 in Fig. 6, Fig. 7 Method steps S350 to S360 in FIG. 8 , method steps S351 to S352 in FIG. 8 , method steps S353 to S354 in FIG. 9 , method steps S500 to S600 in FIG. 10 , method steps S700 to S900 in FIG. 11 . The mobile communication device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, an embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by a processor or a controller, for example, by the above-mentioned Execution by a processor in the embodiment of the mobile communication device can cause the processor to execute the channel information processing method in the above embodiment, for example, execute the method steps S100 to S300 in FIG. 2 and the method steps in FIG. 3 described above S310 to S320, method steps S330 to S340 in Fig. 4, method steps S410 to S420 in Fig. 5, method steps S430 to S440 in Fig. 6, method steps S350 to S360 in Fig. 7, method steps in Fig. 8 S351 to S352, method steps S353 to S354 in FIG. 9 , method steps S500 to S600 in FIG. 10 , method steps S700 to S900 in FIG. 11 .

In the embodiment of the present application, the first channel information is obtained first, and then the third channel information is obtained from the first channel information, and then the third channel information is normalized to obtain the target channel information as the input data of the positioning model. Since the target channel information obtained according to the first channel information can be used as the input data of the positioning model, the solution provided by the embodiment of the present application can effectively obtain the input data required by the positioning model, which is beneficial to the positioning model based on the target channel information. Perform positioning processing.

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

The above is a specific description of the embodiments of the present application, but the present application is not limited to the above-mentioned embodiments. Those skilled in the art can also make various equivalent deformations or replacements without violating the spirit of the present application. Any modification or substitution is included within the scope defined by the claims of the present application.

Claims

A channel information processing method applied to a first mobile communication device, the method comprising:

Obtain first channel information;

obtaining third channel information from the first channel information; and

Perform normalization processing on the third channel information to obtain target channel information, and the target channel information is used as input data of a positioning model.
The method according to claim 1, wherein said performing normalization processing on said third channel information to obtain target channel information comprises:

determining the element with the largest absolute value in the third channel information as the first target element;

Obtain target channel information according to all elements in the third channel information and the first target element.
The method according to claim 1, wherein the third channel information includes a plurality of element sequences;

The performing normalization processing on the third channel information to obtain target channel information includes:

For each element sequence of the third channel information, obtain a normalized element sequence according to all elements in the element sequence and the element with the largest absolute value in the element sequence;

The target channel information is obtained according to the normalized element sequence.
The method according to claim 1, wherein, when the third channel information is channel matrix data in complex form, before normalizing the third channel information, the method further comprises:

Realize the third channel information to obtain realized third channel information.
The method according to claim 4, wherein said performing real digitization processing on the third channel information to obtain the real digitized third channel information comprises:

Perform at least two processes of taking the absolute value, taking the real part, taking the imaginary part, taking the absolute value of the real part, or taking the absolute value of the imaginary part for each element of the third channel information, to obtain at least two fourth channel information;

The at least two pieces of fourth channel information are connected to obtain the realized third channel information, wherein the realized third channel information is at least three-dimensional matrix data.
The method according to claim 4, wherein the third channel information is channel matrix data in complex form corresponding to antenna pairs one-to-one, and there are multiple channels between the first mobile communication device and the second mobile communication device said pair of antennas;

The performing real numberization processing on the third channel information to obtain the real numberization of the third channel information includes:

For the third channel information corresponding to each antenna pair, perform an absolute value, a real part, an imaginary part, an absolute value of a real part, or an imaginary part for each element of the third channel information at least two kinds of processing in the absolute value of , to obtain at least two pieces of fourth channel information;

The at least two pieces of fourth channel information of the plurality of antenna pairs are connected to obtain the real-numbered third channel information, wherein the real-numbered third channel information is at least three-dimensional matrix data.
The method according to claim 5 or 6, wherein said performing normalization processing on said third channel information to obtain target channel information comprises:

performing normalization processing on the real-numbered third channel information to obtain candidate channel information;

Perform dimension reduction processing on the candidate channel information to obtain target channel information.
The method according to claim 7, wherein said normalizing the real-numbered third channel information to obtain candidate channel information comprises:

determining the element with the largest absolute value in the realized third channel information as the second target element;

Obtain candidate channel information according to all elements in the realized third channel information and the second target element.
The method according to claim 7, wherein the realized third channel information includes at least one channel dimension, and the channel dimension includes a plurality of element sequences;

The performing normalization processing on the real-numbered third channel information to obtain candidate channel information includes:

For each element sequence in each channel dimension of the real-numbered third channel information, according to all elements in the element sequence and the element with the largest absolute value in the element sequence, the normalized the sequence of elements processed;

Candidate channel information is obtained according to the normalized element sequence.
The method according to claim 1, wherein said acquiring third channel information from said first channel information comprises:

performing conversion processing on the first channel information to obtain second channel information;

Obtain third channel information from the second channel information.
The method according to claim 10, wherein the first channel information is frequency domain channel matrix data, and the second channel information is time domain channel matrix data;

The converting the first channel information to obtain the second channel information includes:

converting the first channel information from the frequency domain to the time domain to obtain the second channel information.
The method according to claim 10, wherein said acquiring third channel information from said second channel information comprises:

Get the selected window parameters;

Obtain third channel information from the second channel information according to the selection window parameter.
The method according to claim 1, further comprising:

performing compression processing or interception processing on the target channel information to obtain first positioning information parameters;

Sending the first positioning information parameter to the second mobile communication device, so that the second mobile communication device performs positioning processing according to the first positioning information parameter and the positioning model.
The method according to claim 1, further comprising:

determining a third target element greater than a preset threshold in the target channel information;

Obtaining a second positioning information parameter according to the third target element and position index information of the third target element in the target channel information; and

Sending the second positioning information parameter to the second mobile communication device, so that the second mobile communication device performs positioning processing according to the second positioning information parameter and the positioning model.
A mobile communication device, comprising: a memory, a processor, and a computer program stored on the memory and operable on the processor, when the processor executes the computer program, it realizes any one of claims 1 to 14 channel information processing method.
A computer-readable storage medium storing computer-executable instructions, the computer-executable instructions being used to execute the channel information processing method according to any one of claims 1 to 14.