CN117639813A - Data preprocessing method, device, system and medium in wireless positioning system - Google Patents
Data preprocessing method, device, system and medium in wireless positioning system Download PDFInfo
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Abstract
The application discloses a data preprocessing method, a device, a system and a medium in a wireless positioning system, which belong to the technical field of wireless communication signal positioning, and the method of the embodiment of the application comprises the following steps: the signal receiving end determines first Channel State Information (CSI) to be preprocessed; the signal receiving end estimates sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and performs phase compensation on the first CSI by adopting the sampling time deviation to obtain a second CSI; the signal receiving end carries out inverse fast Fourier transform on the second CSI to obtain a channel impulse response CIR signal; the signal receiving end circularly right-shifts a first amplitude sequence of the CIR signal by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the main path of the amplitude sequence of the CIR signal; and the signal receiving end performs amplitude normalization on the first amplitude sequence of the cyclic right-shifted CIR signal to obtain a second amplitude sequence of the CIR signal.
Description
Technical Field
The application belongs to the technical field of wireless communication signal positioning, and particularly relates to a data preprocessing method, device, system and medium in a wireless positioning system.
Background
The high-precision location service is a key support service of emerging industries such as industrial Internet, internet of vehicles, internet of things and the like. In recent years, with the development of the high-precision location service industry, the problem that a traditional signal processing method in the high-precision location field is difficult to effectively cope with is solved by utilizing an artificial intelligence (Artificial Intelligence, AI) technology, such as Non-Line of Sight (NLOS) identification, location estimation in an NLOS environment, angle of Arrival (AOA) estimation in a complex multipath environment, and the like, so that a high-efficiency and accurate location service can be obtained.
The channel state information (Channel State Information, CSI) is used as fine-grained physical layer information, characterizes multipath propagation of signals, contains information such as signal scattering, environmental attenuation, distance attenuation and the like, is more sensitive to complex and changeable environments, can provide more accurate channel information, and is widely applied to the technical field of wireless communication signal positioning in combination with artificial intelligence in recent years. However, the stability of the input mode may have a serious influence on the performance of the AI model, and for the positioning technology based on CSI, hardware damage (i.e. measurement errors introduced by irrational characteristics of the hardware device) may cause a large difference in amplitude and phase between CSI measured multiple times at the same location, which may cause instability of the output result of the AI model, thereby causing a decrease in positioning accuracy and poor generalization performance.
In the prior art, the amplitude of a channel impulse response (Channel Impulse Response, CIR) obtained by CSI processing is normalized based on the total energy of the signal, so as to avoid the influence of occasional occurrence of a very large signal on the AI model output. However, CSI instability caused by hardware loss is reflected in both amplitude and phase, and the scheme only pre-processes the amplitude, but CSI phase instability caused by hardware damage may still cause output instability of the AI model, and performance of the AI model is reduced.
Disclosure of Invention
The embodiment of the application provides a data preprocessing method, device, system and medium in a wireless positioning system, which can solve the problems that CSI instability caused by hardware loss is reflected in two aspects of amplitude and phase, the prior art only preprocesses the amplitude, but the CSI phase instability caused by hardware damage still can cause instability of an AI model and reduce the performance of the AI model.
In a first aspect, a method for preprocessing data in a wireless positioning system is provided, the method comprising:
the signal receiving end determines first Channel State Information (CSI) to be preprocessed;
the signal receiving end estimates sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and performs phase compensation on the first CSI by adopting the sampling time deviation to obtain a second CSI;
the signal receiving end performs inverse fast Fourier transform on the second CSI to obtain a channel impulse response CIR signal;
the signal receiving end circularly shifts the first amplitude sequence of the CIR signal to the right by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the main path of the amplitude sequence of the CIR signal;
and the signal receiving end performs amplitude normalization on the first amplitude sequence of the CIR signal after the cyclic right shift to obtain a second amplitude sequence of the CIR signal.
Optionally, the signal receiving end performs amplitude normalization on the first amplitude sequence of the CIR signal to obtain a second amplitude sequence of the CIR signal, which includes:
the signal receiving end determines the maximum amplitude in the first amplitude sequence of the CIR signal;
and the signal receiving end performs amplitude normalization on the first amplitude sequence of the CIR signal based on the maximum amplitude to obtain a second amplitude sequence of the CIR signal.
Optionally, the method further comprises:
and the signal receiving end performs truncation denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
Optionally, the signal receiving end performs truncation denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal, which includes:
and the signal receiving end cuts off the first second number of sampling points in the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
Optionally, the determining, by the signal receiving end, the first CSI to be preprocessed includes:
the signal receiving end receives the wireless signal sent by the signal transmitting end through the array antenna;
and the signal receiving end carries out channel estimation on the wireless signal to obtain a first CSI to be preprocessed.
In a second aspect, there is provided a data preprocessing apparatus in a wireless positioning system, the apparatus comprising:
a determining module, configured to determine first channel state information CSI to be preprocessed;
the compensation module is used for estimating sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and carrying out phase compensation on the first CSI by adopting the sampling time deviation to obtain a second CSI;
the transformation module is used for carrying out inverse fast Fourier transformation on the second CSI to obtain a CIR signal;
the displacement module is used for circularly right-shifting the first amplitude sequence of the CIR signal by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the main path of the amplitude sequence of the CIR signal;
and the normalization module is used for carrying out amplitude normalization on the first amplitude sequence of the CIR signal after the cyclic right shift to obtain a second amplitude sequence of the CIR signal.
Optionally, the apparatus further comprises:
and the truncation module is used for performing truncation and denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
In a third aspect, there is provided a signal receiving end comprising a processor and a memory storing a program or instructions executable on said processor, said program or instructions implementing the steps of the method according to the first aspect when executed by said processor.
In a fourth aspect, a wireless positioning system is provided, which comprises a signal transmitting end and a signal receiving end according to the third aspect.
In a fifth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor realizes the steps of the method according to the first aspect.
In a sixth aspect, there is provided a computer program/program product stored in a storage medium, the computer program/program product being executed by at least one processor to carry out the steps of the method according to the first aspect.
In the embodiment of the application, first, a signal receiving end determines first Channel State Information (CSI) to be preprocessed; then, as all antenna channels are co-local oscillators, sampling time deviation (Sampling Time Offset, STO) caused by hardware damage is equal for different antennas and different subcarriers, a signal receiving end estimates the sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and phase compensation is carried out on the first CSI by adopting the sampling time deviation to obtain a second CSI; then, the signal receiving end carries out inverse fast Fourier transform on the second CSI to obtain a CIR signal; because the primary path of the amplitude sequence of the CIR signal has a certain rising time, and the phase compensation of the first CSI by adopting sampling time deviation can lead to the cyclic shift of part of the rising edge of the primary path to the tail end, and further part of coherent information is lost, in order to keep complete primary path information, the signal receiving end circularly right-shifts the first amplitude sequence of the CIR signal by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the primary path of the amplitude sequence of the CIR signal; finally, the amplitude of the CIR signal is unstable due to hardware damage, and the signal receiving end normalizes the amplitude of the first amplitude sequence of the CIR signal after the cyclic right shift to obtain a second amplitude sequence of the CIR signal. Therefore, the amplitude and the phase of the CIR signal are preprocessed, so that the amplitude stability and the time delay stability can be improved, stable output can be obtained as the input of the AI model, and the performance of the AI model is greatly improved.
Drawings
Fig. 1 is a flow chart of a data preprocessing method in a wireless positioning system according to an embodiment of the present application;
fig. 2 is a schematic diagram of a rise time of a main path of an amplitude sequence of a CIR signal according to an embodiment of the present application;
fig. 3 is a schematic diagram of cyclic right shift of an amplitude sequence of a CIR signal according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a data preprocessing device in the wireless positioning system according to the embodiment of the present application;
fig. 5 is a schematic structural diagram of a signal receiving end according to an embodiment of the present application.
Detailed Description
Technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or otherwise described herein, and that the terms "first" and "second" are generally intended to be used in a generic sense and not to limit the number of objects, for example, the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/" generally means a relationship in which the associated object is an "or" before and after.
First, description is made of channel state information CSI:
the channel state information is physical layer information, and is generally used to reflect the communication quality of the transmission medium of the signal, and the quality of the quality can change the amplitude and phase information of the channel state. The CSI adopts an orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) mechanism, i.e., a channel multiplexing technology, whose basic principle is to divide a signal into a plurality of sub-signals, and the sub-signals are all propagated through mutually orthogonal carriers, so that the mutual influence between the signals is greatly reduced.
However, in a real scene, due to the presence of an obstacle, the propagation and change of the signal are not stable, and can be affected to different degrees according to the change of objects in the environment, and the influence can reflect the position of a target, which can be a person or other objects. Moreover, the granularity of the CSI enables targets at different positions in the channel to be reflected in different channel state information, which is an important reason that accurate positioning can be performed by using the CSI.
Because the dimension of the CSI data information is relatively large, the workload can be reduced by using an artificial intelligence technology modeling method, and therefore the CSI is widely applied to the technical field of wireless communication signal positioning by combining with artificial intelligence.
Specifically, the signal receiving end obtains the CSI, then preprocesses the CSI, inputs the preprocessed data into the AI model for processing, and finally outputs the positioning related parameters. Wherein the positioning related parameters may include: NLOS indication, AOA, location coordinates, etc. The signal receiving end may be a network device including an antenna array, for example, an Access Point (AP), and an antenna of the AP is a receiving antenna. The AI model may include a machine learning model, such as: support vector machines (Support Vector Machines, SVN), k-means, convolutional neural networks, etc., the present embodiment is not limited to machine learning models, but may be other AI models.
For the preprocessing link, the embodiment of the application provides a data preprocessing method in a wireless positioning system, and the method is described in detail below.
Referring to fig. 1, fig. 1 is a flowchart illustrating a data preprocessing method in a wireless positioning system according to an embodiment of the present application. As shown in fig. 1, the method may include the steps of:
step 101, a signal receiving end determines a first CSI to be preprocessed;
step 102, a signal receiving end estimates sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and performs phase compensation on the first CSI by adopting the sampling time deviation to obtain a second CSI;
step 103, the signal receiving end carries out inverse fast Fourier transform on the second CSI to obtain a CIR signal;
104, the signal receiving end circularly shifts the first amplitude sequence of the CIR signal to the right by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the main path of the amplitude sequence of the CIR signal;
step 105, the signal receiving end performs amplitude normalization on the first amplitude sequence of the cyclic right-shifted CIR signal to obtain a second amplitude sequence of the CIR signal.
In step 101, optionally, the signal receiving end receives a wireless signal sent by the signal transmitting end through the array antenna; the signal receiving end carries out channel estimation on the wireless signals to obtain the original CSI of each antenna channel, namely the first CSI to be preprocessed. The signal receiving end may be a network device including a receiving array antenna, for example: RRU (Remote Radio Unit ), router, etc., the present embodiment is not limited thereto. The signal transmitting end may be a communication device including a transmitting array antenna, for example: cell phones, drones, etc., the present embodiment is not limited thereto.
In step 102, since all antenna channels are co-local oscillators, the STO caused by the hardware impairments is equal for different antennas and different subcarriers, the phase deviation caused by the STO is only related to the subcarrier number, and the signal receiving end estimates the sampling time deviation by compensating for the corresponding phase difference for each subcarrier of each antenna channel.
Specifically, the sampling time deviation can be estimated by expression (1):
wherein ψ (m, n) represents the phase after the n-th subcarrier of the m-th channel is unwrapped, f δ Indicating the subcarrier frequency spacing and,representing the estimated sampling time offset, ρ representing the sampling time offset to be estimated, β representing the fixed time offset.
Then, the first CSI is phase compensated using the sampling Time offset, and the first CSI may be phase cleaned to obtain a second CSI from which the Time of Flight (TOF) of the signal is removed.
Specifically, the phase compensation is performed by expression (2):
wherein, psi (m, n) represents the original phase,representing the compensated phase.
In step 103, the signal receiving end performs inverse fast fourier transform (Inverse Fast Fourier Transform, IFFT) on the second CSI to obtain a CIR signal.
Specifically, the inverse fast fourier transform can be performed by expression (3):
CIR(n)＝IFFT(CSI(k)) (3)
wherein CSI (k) represents the second CSI and CIR (n) represents the CIR signal.
In step 104, as shown in fig. 2, the primary path of the amplitude sequence of the CIR signal has a certain rise time, and the phase compensation of the first CSI using the sampling time deviation results in a cyclic shift of a part of the rising edge of the primary path to the end, and thus a part of the coherent information is lost.
In order to preserve the complete main path information, as shown in fig. 3, the signal receiving end circularly shifts the first amplitude sequence of the CIR signal to the right by a first number of sampling points, where the first number is the number of sampling points in the rising time of the main path of the amplitude sequence of the CIR signal, and the sampling points in the rising time of the main path of the amplitude sequence of the CIR signal may be circularly shifted to the front of the main path.
Specifically, the cyclic right shift can be performed by expression (4):
CIR amp ＝cirshift(CIR amp ,n rise ) (4)
wherein, CIR amp =abs (CIR), abs (·) representing the magnitude of the fetch, CIR amp Representing a first amplitude sequence, n, of the CIR signal rise Represents the CIR main path rise time, cirshift (CIR) amp ,n rise ) Representing the CIR amp Right shift by n rise And sampling points.
N of a single CIR rise Can be calculated by expression (5):
wherein n is stop Indicating the CIR main path rising stop time, n start The CIR main path rise start time is shown.
The main path rise time of the single CIR signal calculated by expression (5) is n in the preprocessing process stop The specific numerical value of (2) is to collect a large number of CIRs according to the actual use environment and then take the statistical maximum value.
In step 105, the signal receiving end normalizes the amplitude of the first amplitude sequence of the CIR signal after the cyclic right shift to obtain the second amplitude sequence of the CIR signal, because the hardware damage may cause the amplitude of the CIR signal to be unstable.
Optionally, step 105 includes: the signal receiving end determines the maximum amplitude in the first amplitude sequence of the CIR signal, and based on the maximum amplitude, the first amplitude sequence of the CIR signal is subjected to amplitude normalization to obtain the second amplitude sequence of the CIR signal, so that the stability of the amplitude of the CIR signal can be improved.
Specifically, the amplitude normalization can be performed by expression (6):
CIR amp_norm ＝CIR amp /max(CIR amp ) (6)
wherein max (CIR amp ) Representing the maximum amplitude in a first amplitude sequence of the CIR signal, CIR amp_norm Representing a second amplitude sequence of the CIR signal.
In the embodiment of the application, first, a signal receiving end determines first Channel State Information (CSI) to be preprocessed; then, as all antenna channels are co-local oscillators, sampling time deviation caused by hardware damage is equal to that of different antennas and different subcarriers, a signal receiving end can estimate the sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and the sampling time deviation is adopted to carry out phase compensation on the first CSI to obtain a second CSI; then, the signal receiving end carries out inverse fast Fourier transform on the second CSI to obtain a CIR signal; because the primary path of the amplitude sequence of the CIR signal has a certain rising time, and the phase compensation of the first CSI by adopting sampling time deviation can lead to the cyclic shift of part of the rising edge of the primary path to the tail end, and further part of coherent information is lost, in order to keep complete primary path information, the signal receiving end circularly right-shifts the first amplitude sequence of the CIR signal by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the primary path of the amplitude sequence of the CIR signal; finally, the amplitude of the CIR signal is unstable due to hardware damage, and the signal receiving end normalizes the amplitude of the first amplitude sequence of the CIR signal after the cyclic right shift to obtain a second amplitude sequence of the CIR signal. Therefore, the amplitude and the phase of the CIR signal are preprocessed, the amplitude stability and the time delay stability can be improved, a large amount of CSI data are not required to be collected at the same position for training of the AI model, the data size of training data can be effectively reduced, the AI model is prevented from being over-fitted, the stability of the output result of the depth network can be ensured by taking the data as the input of the AI model, and the performance of the AI model can be greatly improved. In addition, the preprocessing method of the embodiment has the characteristics of simple implementation, no need of additional auxiliary information, low calculation complexity, wide application range and the like, and can be widely applied to positioning related technologies combining various CSI and AI, such as NLOS identification, aoA estimation, position estimation and the like.
Optionally, the method further comprises: and the signal receiving end performs truncation and denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
In this embodiment, the signal receiving end performs truncation denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal, so that a large amount of noise redundancy information can be removed, and the training speed of the AI model can be effectively improved.
Optionally, the signal receiving end truncates the first second number of sampling points in the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
Specifically, the truncation denoising process can be performed by expression (7):
CIR amp_norm_cut ＝CIR amp_norm (1:N cut ) (7)
wherein N is cut The number of reserved CIR sampling points, namely the second number, is a preset fixed value, the specific value is determined according to the actual use environment, and the basic principle is to remove noise sampling points to the greatest extent on the basis of reserved signals. CIR (common information and Rate) amp_norm Representing a second sequence of amplitudes of the CIT signal, the second sequence of amplitudes being arranged in time order. CIR (common information and Rate) amp_norm_cut Representing the first N in the second amplitude sequence of the CIR signal cut A third amplitude sequence of the CIR signal.
In this embodiment, the signal receiving end truncates the first second number of sampling points in the second amplitude sequence of the CIR signal to obtain the third amplitude sequence of the CIR signal, so that a large amount of noise redundant information can be removed, and the influence of noise is reduced to a certain extent.
According to the data preprocessing method in the wireless positioning system, the execution main body can be a data preprocessing device in the wireless positioning system. In the embodiment of the present application, a data preprocessing method in a wireless positioning system is taken as an example of a data preprocessing device in a wireless positioning system, and the data preprocessing device in the wireless positioning system provided in the embodiment of the present application is described.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a data preprocessing device in a wireless positioning system according to an embodiment of the present application. As shown in fig. 4, the apparatus may include:
a determining module 10, configured to determine first channel state information CSI to be preprocessed;
a compensation module 20, configured to estimate a sampling time offset by compensating a corresponding phase difference for each subcarrier of each antenna channel, and perform phase compensation on the first CSI using the sampling time offset to obtain a second CSI;
a transforming module 30, configured to perform inverse fast fourier transform on the second CSI to obtain a CIR signal;
a shift module 40, configured to circularly shift the first amplitude sequence of the CIR signal by a first number of sampling points, where the first number is the number of sampling points in a rising time of a main path of the amplitude sequence of the CIR signal;
and the normalization module 50 is configured to normalize the amplitude of the first amplitude sequence of the CIR signal after the cyclic right shift, so as to obtain a second amplitude sequence of the CIR signal.
Optionally, the determining module 10 is specifically configured to:
receiving a wireless signal sent by a signal transmitting end through an array antenna;
and carrying out channel estimation on the wireless signal to obtain a first CSI to be preprocessed.
Optionally, the normalization module 50 includes:
a determining unit, configured to determine a maximum amplitude in a first amplitude sequence of the CIR signal;
and the normalization unit is used for carrying out amplitude normalization on the first amplitude sequence of the CIR signal based on the maximum amplitude to obtain a second amplitude sequence of the CIR signal.
Optionally, the apparatus further comprises:
and the truncation module is used for performing truncation and denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
Optionally, the truncation module is specifically configured to:
and cutting off the first second number of sampling points in the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
The apparatus of this embodiment may be used to perform the method of any one of the foregoing method embodiments, and its specific implementation process and technical effects are similar to those of the foregoing method embodiments, and specific reference may be made to the detailed description of the foregoing method embodiments, which is not repeated herein.
The data preprocessing device in the wireless positioning system in the embodiment of the present application may be an electronic device, for example, an electronic device with an operating system, which is not specifically limited in the embodiment of the present application.
Fig. 5 is a schematic structural diagram of a signal receiving end provided by the present invention, as shown in fig. 5, a signal receiving end 500 includes: memory 503, receiver 502, processor 501.
Wherein in fig. 5, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by the processor 501 and various circuits of memory represented by the memory 503, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. The receiver 502 provides a means for communicating with various other apparatus over transmission media, including wireless channels, wireline channels, optical fiber cable, etc. The processor 501 is responsible for managing the bus architecture and general processing, and the memory 603 may store data used by the processor 501 in performing operations.
The processor 501 may be a Central Processing Unit (CPU), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA), or a complex programmable logic device (Complex Programmable Logic Device, CPLD), or the processor may employ a multi-core architecture.
A memory 503 for storing a computer program; a receiver 502 for receiving data under control of the processor; the processor 501 is configured to read the computer program in the memory and execute the computer program to implement each process of the data preprocessing method embodiment in the wireless positioning system, and achieve the same technical effects, so that repetition is avoided and no further description is given here.
The embodiment of the application also provides a wireless positioning system, which comprises a signal transmitting end and a signal receiving end shown in fig. 5.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the data preprocessing method embodiment in the wireless positioning system, and the same technical effect can be achieved, so that repetition is avoided, and no redundant description is provided herein.
Wherein the processor is a processor in the signal receiving end described in the above embodiment. The readable storage medium includes computer readable storage medium such as computer readable memory ROM, random access memory RAM, magnetic or optical disk, etc.
The embodiments of the present application further provide a computer program/program product, where the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement each process of the data preprocessing method embodiment in the above-mentioned wireless positioning system, and the same technical effects can be achieved, so that repetition is avoided, and details are not repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
Claims (10)
1. A method for preprocessing data in a wireless positioning system, comprising:
the signal receiving end determines first Channel State Information (CSI) to be preprocessed;
the signal receiving end estimates sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and performs phase compensation on the first CSI by adopting the sampling time deviation to obtain a second CSI;
the signal receiving end performs inverse fast Fourier transform on the second CSI to obtain a channel impulse response CIR signal;
the signal receiving end circularly shifts the first amplitude sequence of the CIR signal to the right by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the main path of the amplitude sequence of the CIR signal;
and the signal receiving end performs amplitude normalization on the first amplitude sequence of the CIR signal after the cyclic right shift to obtain a second amplitude sequence of the CIR signal.
2. The method for preprocessing data in a wireless positioning system according to claim 1, wherein said signal receiving end performs amplitude normalization on a first amplitude sequence of said CIR signal to obtain a second amplitude sequence of said CIR signal, comprising:
the signal receiving end determines the maximum amplitude in the first amplitude sequence of the CIR signal;
and the signal receiving end performs amplitude normalization on the first amplitude sequence of the CIR signal based on the maximum amplitude to obtain a second amplitude sequence of the CIR signal.
3. The method of data preprocessing in a wireless positioning system according to claim 1, further comprising:
and the signal receiving end performs truncation denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
4. The method for preprocessing data in a wireless positioning system according to claim 3, wherein said signal receiving end performs truncation and denoising processing on said second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal, comprising:
and the signal receiving end cuts off the first second number of sampling points in the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
5. The method for data preprocessing in a wireless positioning system according to claim 1, wherein said signal receiving end determines a first CSI to be preprocessed, comprising:
the signal receiving end receives the wireless signal sent by the signal transmitting end through the array antenna;
and the signal receiving end carries out channel estimation on the wireless signal to obtain a first CSI to be preprocessed.
6. A data preprocessing device in a wireless positioning system, comprising:
a determining module, configured to determine first channel state information CSI to be preprocessed;
the compensation module is used for estimating sampling time deviation by compensating corresponding phase difference for each subcarrier of each antenna channel, and carrying out phase compensation on the first CSI by adopting the sampling time deviation to obtain a second CSI;
the transformation module is used for carrying out inverse fast Fourier transformation on the second CSI to obtain a CIR signal;
the displacement module is used for circularly right-shifting the first amplitude sequence of the CIR signal by a first number of sampling points, wherein the first number is the number of sampling points in the rising time of the main path of the amplitude sequence of the CIR signal;
and the normalization module is used for carrying out amplitude normalization on the first amplitude sequence of the CIR signal after the cyclic right shift to obtain a second amplitude sequence of the CIR signal.
7. The data preprocessing apparatus in a wireless positioning system of claim 6, wherein said apparatus further comprises:
and the truncation module is used for performing truncation and denoising processing on the second amplitude sequence of the CIR signal to obtain a third amplitude sequence of the CIR signal.
8. A signal receiving terminal comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, performs the steps of the data preprocessing method in a wireless location system as claimed in any one of claims 1 to 5.
9. A wireless location system comprising a signal transmitting end and a signal receiving end as claimed in claim 8.
10. A readable storage medium, characterized in that the readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the data preprocessing method in a wireless location system according to any one of claims 1 to 5.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210989093.XA CN117639813A (en) | 2022-08-17 | 2022-08-17 | Data preprocessing method, device, system and medium in wireless positioning system |
| PCT/CN2022/139669 WO2024036845A1 (en) | 2022-08-17 | 2022-12-16 | Data pre-processing method, apparatus and system in wireless positioning system, and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210989093.XA CN117639813A (en) | 2022-08-17 | 2022-08-17 | Data preprocessing method, device, system and medium in wireless positioning system |
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| CN117639813A true CN117639813A (en) | 2024-03-01 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202210989093.XA Pending CN117639813A (en) | 2022-08-17 | 2022-08-17 | Data preprocessing method, device, system and medium in wireless positioning system |
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| CN (1) | CN117639813A (en) |
| WO (1) | WO2024036845A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111405457B (en) * | 2018-12-29 | 2021-10-19 | 华为技术有限公司 | Position sensing method and device and positioning method and device |
| CN113423097B (en) * | 2020-08-20 | 2024-06-21 | 阿里巴巴集团控股有限公司 | Positioning method and device based on RFID and electronic equipment |
| CN112954791B (en) * | 2021-01-26 | 2022-04-22 | 电子科技大学 | Channel State Information (CSI) positioning method based on subcarrier screening |
| CN112953659A (en) * | 2021-01-26 | 2021-06-11 | 电子科技大学 | Channel state information CSI amplitude fingerprint optimization method |
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2022
- 2022-08-17 CN CN202210989093.XA patent/CN117639813A/en active Pending
- 2022-12-16 WO PCT/CN2022/139669 patent/WO2024036845A1/en unknown
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| WO2024036845A1 (en) | 2024-02-22 |
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