CN110933703B - User detection method, device, equipment and storage medium - Google Patents
User detection method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110933703B CN110933703B CN201911377815.0A CN201911377815A CN110933703B CN 110933703 B CN110933703 B CN 110933703B CN 201911377815 A CN201911377815 A CN 201911377815A CN 110933703 B CN110933703 B CN 110933703B
- Authority
- CN
- China
- Prior art keywords
- sequence
- pdp
- target window
- determining
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2614—Peak power aspects
- H04L27/2623—Reduction thereof by clipping
Abstract
The application relates to a user detection method, a device, equipment and a storage medium, wherein a terminal processes a received PRACH signal to obtain a PDP sequence, acquires average power of the PDP sequence, performs peak clipping processing on sequence point power larger than a detection threshold in the PDP sequence if a preset condition is not met between the average power and noise power of the PDP sequence, updates the detection threshold according to a new PDP sequence until the preset condition is met between the average power and the noise power of the PDP sequence, and further obtains a user detection result according to the updated detection threshold and the new PDP sequence.
Description
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a user detection method, apparatus, device, and storage medium.
Background
Time division duplexing (Time Division Duplexing, TDD) is one way in LTE (Long Term Evolution, LTE) systems to use different time slots of the same frequency carrier as the bearer of the channel when receiving and transmitting data. In a TDD-LTE communication system, a terminal can be scheduled for uplink transmission only after time synchronization of an uplink channel is completed. In general, when a user randomly accesses to a base station, firstly, a physical random access channel (Physical Random Access Channel, PRACH) sends a PRACH signal including a preamble to the base station, the base station receives the PRACH signal, acquires the carried preamble information, detects the user requesting random access, determines an estimated time advance of uplink synchronization, and returns the estimated time advance to the user, and the user adjusts uplink transmission data time according to the issued estimated time advance, so as to realize time synchronization of the uplink channel.
In the conventional art, detecting a user requesting random access generally performs the following operations: performing Cyclic Prefix (CP), downsampling filtering and fourier transform on the PRACH signal to obtain a preamble sequence, performing frequency domain correlation calculation according to the preamble sequence and a local ZC sequence, performing inverse fourier transform, antenna combination and other operations to obtain a power delay spectrum (Power Delay Profile, PDP) sequence, dividing the PDP sequence into a plurality of windows, determining a window including sequence points greater than a detection threshold as a target window, and obtaining a user detection result according to the target window.
However, in a real situation, a plurality of users often initiate random access to a base station at the same time, and the above method is used for user detection, so that detection omission may occur.
Disclosure of Invention
Based on this, it is necessary to provide a user detection method, apparatus, device and storage medium for the problem of detection omission in user detection by the conventional method.
In a first aspect, a user detection method includes:
processing the received PRACH signal to obtain a PDP sequence;
obtaining average power of the PDP sequence;
If the average power and the noise power of the PDP sequence do not meet the preset condition, carrying out peak clipping treatment on the sequence point power larger than the detection threshold in the PDP sequence to obtain a new PDP sequence, updating the detection threshold according to the new PDP sequence, and returning to execute the step of acquiring the average power of the PDP sequence until the average power and the noise power of the PDP sequence meet the preset condition;
obtaining a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
In one embodiment, the obtaining the user detection result according to the updated detection threshold and the new PDP sequence includes:
dividing the new PDP sequence into a plurality of windows;
determining a target window according to the updated detection threshold and the windows;
and determining a user detection result according to the target window.
In one embodiment, determining the target window according to the updated detection threshold and the plurality of windows includes:
and determining a window in which the sequence point with the power larger than the updated detection threshold is located as a target window.
In one embodiment, the method further comprises:
Selecting sequence points with sequence point power larger than the updated detection threshold in a target window to obtain a first sequence point set;
determining a left array and a right array according to the first sequence point set, wherein the left array comprises sequence points before a first sequence point in the first sequence point set in a target window; the right array comprises sequence points after a first sequence point in the first sequence point set in the target window;
and obtaining the estimated time advance according to the left array and the right array.
In one embodiment, determining the left array and the right array according to the first sequence point set includes:
acquiring the position of a first sequence point in a target window;
obtaining the average power of a target window, and selecting sequence points with the sequence point power larger than the average power of the target window in the target window to obtain a second sequence point set;
determining a search factor according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set;
and determining a left array and a right array according to the search factors and the target window.
In one embodiment, determining the left array and the right array according to the search factor and the target window includes:
Determining a left array according to the search factor, the target window and the first formula; the first formula includes:WinLeft represents the left array, +.>Representing a target window, pos_l representing the position of a first sequence point in the first sequence point set in the target window;
determining a right array according to the search factor, the target window and the second formula; the second formula includes:WinRight represents the right array.
In one embodiment, determining the search factor according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set includes:
determining a search factor according to the number of sequence points in the first sequence point set, the number of sequence points in the second sequence point set and a third formula; the third formula includes:
N search representing the search factor, W N Representing a number of sequence points in the second set of sequence points; k represents the number of sequence points in the first set of sequence points.
In one embodiment, the obtaining the estimated time advance according to the left array and the right array includes:
acquiring a left target sequence point with the maximum power in a left array and a right target sequence point with the maximum power in a right array;
determining a left target position of a left target sequence point in the target window and a right target position of a right target sequence point in the target window;
And determining the estimated time advance according to the left target position, the right target position and the target window.
In one embodiment, determining the estimated time advance according to the left target position, the right target position, and the target window includes:
determining an estimated time advance according to the left target position, the right target position, the target window and the fourth formula; the fourth formula includes:
TA represents estimated time advance; firstPoint represents the left target position, lastPoint represents the right target position;representing the target window.
In one embodiment, the processing the received PRACH signal to obtain a PDP sequence includes:
performing cyclic prefix CP (cyclic prefix) removal processing, downsampling filtering processing and Fourier transformation processing on the received PRACH signal to obtain a preamble sequence;
performing frequency domain conversion calculation on the preamble sequence through a local pseudo-random ZC sequence to obtain a related sequence;
and carrying out inverse Fourier transform processing and antenna combination processing on the related sequences to obtain the PDP sequences.
In one embodiment, the method further comprises:
and determining the noise power of the PDP sequence according to a preset noise threshold coefficient.
In one embodiment, the preset condition includes that a difference between an average power of the PDP sequence and a noise power of the PDP sequence is less than a preset threshold.
In a second aspect, a user detection apparatus, the apparatus comprising:
the processing module is used for processing the received PRACH signal to obtain a PDP sequence;
an acquisition module for acquiring average power of the PDP sequence;
the peak clipping module is used for clipping peak to sequence point power larger than the detection threshold in the PDP sequence if the average power and the noise power of the PDP sequence do not meet the preset condition, obtaining a new PDP sequence, updating the detection threshold according to the new PDP sequence, and returning to execute the step of obtaining the average power of the PDP sequence until the average power and the noise power of the PDP sequence meet the preset condition;
the first determining module is used for obtaining a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
In a third aspect, a computer device includes a memory storing a computer program and a processor implementing the method steps of the user detection method described above when the processor executes the computer program.
In a fourth aspect, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method steps of the user detection method described above.
The user detection method, the device, the equipment and the storage medium are characterized in that a terminal processes a received PRACH signal to obtain a PDP sequence, obtains the average power of the PDP sequence, performs peak clipping treatment on the sequence point power which is larger than a detection threshold in the PDP sequence if the average power and the noise power of the PDP sequence do not meet the preset condition, obtains a new PDP sequence, updates the detection threshold according to the new PDP sequence, returns to the step of obtaining the average power of the PDP sequence until the average power and the noise power of the PDP sequence meet the preset condition, and further obtains a user detection result according to the updated detection threshold and the new PDP sequence; compared with the traditional method, particularly when the initial detection threshold is overlarge due to the fact that a plurality of users initiate random access to a base station at the same time, the detection threshold according to which the user detection result is determined in the embodiment of the application is obtained by carrying out peak clipping processing on the PDP sequence when the average power of the PDP sequence and the noise power of the PDP sequence do not meet the preset condition, and the new PDP sequence is obtained and changes along with the change of the PDP sequence, so that the condition of missing detection is avoided.
Drawings
FIG. 1 is a schematic diagram of an application environment of a user detection method in one embodiment;
FIG. 2 is a flow chart of a user detection method in one embodiment;
FIG. 3 is a flow chart of a user detection method according to another embodiment;
FIG. 4 is a flowchart of a user detection method according to another embodiment;
FIG. 5 is a flowchart of a user detection method according to another embodiment;
FIG. 6 is a flowchart of a user detection method according to another embodiment;
FIG. 7 is a flow chart of a user detection method according to another embodiment;
FIG. 8 is a schematic diagram of a user detection device provided in one embodiment;
FIG. 9 is a schematic diagram of a user detection device according to another embodiment;
FIG. 10 is a schematic diagram of a user detection device according to another embodiment;
FIG. 11 is a schematic diagram of a user detection device according to another embodiment;
fig. 12 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The user detection method, device, equipment and storage medium provided by the application aim to solve the problem of detection omission in the traditional method for user detection. The following will specifically describe the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by means of examples and with reference to the accompanying drawings. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
The user detection method provided by the application can be applied to an application scenario as shown in fig. 1, wherein the base station 100 and the user equipment 200 are connected with each other through a network, and can be wired network connection or wireless network connection. The communication protocol between the base station 100 and the user equipment 200 may be used in a 2G/3G/4G/5G network. The ue 200 may be one ue or multiple ues, which is not limited in this embodiment of the present application.
It should be noted that, in the user detection method provided in the present application, the execution body is a user detection device, and the user detection device may be implemented as part or all of a user detection terminal by software, hardware, or a combination of software and hardware, where the user detection terminal may be part or all of a base station.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely 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.
FIG. 2 is a flow chart of a user detection method in one embodiment. The embodiment relates to a specific process of determining a user detection result according to a dynamically changing detection threshold. As shown in fig. 2, the method comprises the steps of:
S101, processing the received PRACH signal to obtain a PDP sequence.
The PRACH signal may be obtained according to a preamble sequence sent by a UE, which may be obtained according to a preamble sequence sent by one UE, or may be obtained according to a preamble sequence sent by a plurality of UEs, which is not limited in the embodiment of the present application. In an initial stage of random access, a base station transmits to a UE system parameters of a physical random access channel (Physical Random Access Channel, PRACH) including a preamble format, time-frequency resources, logical root identification (Logical Index), cyclic shift (Ncs), and a restriction set. The UE performs cyclic shift on a pseudo-random (Zadoff-Zhu, ZC) sequence according to the parameters to generate 64 preamble sequences, and then randomly selects one preamble sequence to transmit to the base station. When receiving a preamble sequence transmitted by a UE, a base station receives the preamble sequence through a PRACH signal carrying information of the preamble sequence. For example, when 5 UEs transmit preamble sequences to the base station at the same time, the base station does not distinguish between the preamble sequences when receiving the 5 preamble sequences, and corresponds to receiving PRACH signals superimposed on the basis of the 5 preamble sequences.
After receiving the PRACH signal carrying the information of the preamble sequence, the base station may process the PRACH signal to obtain a sequence including the information of the preamble sequence sent by the UE, that is, a power delay profile (Power Delay Profile, PDP) sequence. The PDP sequence may include a plurality of sequence points, and when the PDP sequence carries information of the preamble sequence transmitted by the UE, the power of the sequence points in the PDP sequence may be increased to be higher than the noise power.
S102, obtaining average power of the PDP sequence.
After obtaining the PDP sequence, the terminal may obtain the average power of the PDP sequence. As can be seen from the above description, the PDP sequence includes a plurality of sequence points, and the average power of the PDP sequence can be obtained by weighted averaging the power at each sequence point. When a PDP sequence corresponds to user access, the larger the number of user accesses, the higher the average power of the PDP sequence.
And S103, if the average power and the noise power of the PDP sequence do not meet the preset condition, carrying out peak clipping treatment on the sequence point power larger than the detection threshold in the PDP sequence to obtain a new PDP sequence, updating the detection threshold according to the new PDP sequence, and returning to execute the step of acquiring the average power of the PDP sequence until the average power and the noise power of the PDP sequence meet the preset condition.
After obtaining the average power of the PDP sequence, the average power may be compared with the noise power of the PDP sequence to determine whether a preset condition is satisfied between the average power and the noise power of the PDP sequence, where the preset condition may be whether an absolute value of a difference between the average power and the noise power of the PDP sequence is less than a preset threshold, or whether a result obtained by dividing the average power by the noise power of the PDP sequence is less than the preset threshold.
When the average power and the noise power of the PDP sequence do not meet the preset conditions, peak clipping is performed on the power of the sequence point in the current PDP sequence, where the sequence point is greater than the detection threshold, and the detection threshold may be obtained according to the average power of the PDP sequence, for example, the detection threshold may be a threshold determined according to the average power of the PDP sequence, the PRACH format, the number of antennas corresponding to the base station, and different scenarios. The power of the sequence point larger than the detection threshold is reduced through the peak clipping processing, and a new PDP sequence is obtained. That is, the new PDP sequence obtained by the peak clipping process is a PDP sequence having a smaller average power than the original PDP sequence. When peak clipping is performed on the sequence point power larger than the detection threshold in the PDP sequence to obtain a new PDP sequence, the average power of the new PDP sequence is different from the average power of the initial PDP sequence, so that the detection threshold can be updated according to the average power of the new PDP sequence, and the updated detection threshold can be obtained. Meanwhile, step S102 is returned to "acquire average power of PDP sequence", to obtain average power of new PDP sequence, until the preset condition is satisfied between the average power and noise power of PDP sequence. It should be noted that, the average power update detection threshold according to the new PDP sequence may be updated after the return to step S102 to "acquire average power of PDP sequence", or may be updated when the new PDP sequence is acquired, which is not limited in the embodiment of the present application.
S104, obtaining a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
The user detection result may be used to indicate whether there is user access in the PDP sequence, which may be an indication that there is user access in the PDP sequence, or that there is no user access in the PDP sequence; when there is user access, it may indicate that one user is accessed in the PDP sequence, or that multiple users are accessed in the PDP sequence. In one possible scenario, the user detection result may also indicate a specific number of users accessing in the PDP sequence, e.g. it may indicate that 0 users are accessing in the PDP sequence, it may indicate that 1 user is accessing in the PDP sequence, and it may indicate that 5 users are accessing in the PDP sequence. The embodiments of the present application are not limited in this regard.
When the terminal obtains the user detection result according to the updated detection threshold and the new PDP sequence, whether the power of the sequence point in the new PDP sequence is larger than the updated detection threshold or not can be detected to determine whether the user is accessed or not. For example, the terminal may determine that the PDP sequence corresponds to user access when detecting that the power of sequence points present in the new PDP sequence is greater than the updated detection threshold. The terminal can obtain a new PDP sequence after carrying out peak clipping treatment on the PDP sequence each time, and immediately obtain a user detection result according to the current new PDP sequence and the current updated detection threshold when updating the detection threshold according to the new PDP sequence; or when the average power of the new PDP sequence and the noise power of the new PDP sequence meet the preset conditions, the final new PDP sequence and the final detection threshold are obtained, and then the user detection result is obtained according to the final new PDP sequence and the final detection threshold; the embodiments of the present application are not limited in this regard.
According to the user detection method, the terminal processes the received PRACH signal to obtain the PDP sequence, if the average power and the noise power of the PDP sequence do not meet the preset condition, peak clipping processing is carried out on the sequence point power larger than the detection threshold in the PDP sequence to obtain a new PDP sequence, the detection threshold is updated according to the new PDP sequence, the step of obtaining the average power of the PDP sequence is carried out again until the average power and the noise power of the PDP sequence meet the preset condition, and then a user detection result is obtained according to the updated detection threshold and the new PDP sequence, and the user detection result is used for indicating whether user access exists in the PDP sequence. Compared with the traditional method, the detection threshold according to which the user detection result is determined in the embodiment of the application is obtained by performing peak clipping processing on the PDP sequence when the average power of the PDP sequence and the noise power of the PDP sequence do not meet the preset condition, and the new PDP sequence is obtained and changes along with the change of the PDP sequence, so that the condition of detection omission is avoided.
Optionally, the noise power of the PDP sequence is determined according to a pre-set noise threshold coefficient. After obtaining the PDP sequence, the noise power of the PDP sequence may be determined according to a predetermined noise threshold coefficient, where the noise threshold coefficient is a fixed constant. The terminal can obtain the noise power of the PDP sequence through computer simulation according to a preset noise threshold coefficient.
Optionally, the preset condition includes that a difference between an average power of the PDP sequence and a noise power of the PDP sequence is smaller than a preset threshold.
Specifically, the preset condition may be that a difference between an average power of the PDP sequence and a noise power of the PDP sequence is less than a preset threshold. For example, the predetermined condition may be that the average power of the PDP sequence and the noise power of the PDP sequence satisfy the inequality |P avg -P N |<Epsilon, where P avg Representing average power, P, of PDP sequence N The noise power, ε, representing the PDP sequence may be a constant, ε may be
Fig. 3 is a flow chart of a user detection method in another embodiment, which relates to a specific process of obtaining a user detection result according to an updated detection threshold and a new PDP sequence, as shown in fig. 3, S103 "a possible implementation method for obtaining a user detection result according to an updated detection threshold and a new PDP sequence" includes the following steps:
s201, dividing the new PDP sequence into a plurality of windows.
In generating the preamble sequence by the UE, a pseudo-random code (ZC) sequence, which may be referred to as a root sequence, may be generated by using different root indices. When specifically generating the ZC sequence, the UE can obtain a new ZC sequence by utilizing the characteristic of random codes and different phases of the same root sequence. Performing cyclic shift on the new ZC sequence, wherein the cyclic shift length is N cs Meaning that 64 preamble sequences are generated and then one preamble sequence is randomly selected to be transmitted to the base station. Thus, when dividing a new PDP sequence into a plurality of windows, the front carried in the PDP sequence can be usedThe number of corresponding root indices of the amble sequence divides the PDP sequence into a number of windows, each window having the same size as the cyclic shift length. Wherein the number of windows corresponding to one root index isWherein L is RA Indicating the length of the PDP sequence.
S202, determining a target window according to the updated detection threshold and the windows.
The target window may be a window indicating that the user accesses in the PDP sequence, and the target window may include one window or multiple windows, which is not limited in this embodiment of the present application. The terminal can determine the target window according to the relation between the power of the sequence point in the window and the updated detection threshold. Optionally, determining a window where the sequence point with the power greater than the updated detection threshold is located as a target window. When the window has a sequence point with power larger than the updated detection threshold, determining that the window has user access, namely the window is a target window.
S203, determining a user detection result according to the target window.
After the terminal determines the target window, the position of the window and the user identifier of the access user may be in one-to-one correspondence, so that the user identifier of the access user may be determined according to the position information of the target window in the PDP sequence, that is, the user identifier of the access user may be determined according to the target window, and further, according to the user identifier, which users are specifically accessed may be determined. Because the target window can be one window or a plurality of windows, the user detection result can be used for indicating one user access or a plurality of user accesses correspondingly.
According to the user detection method, the terminal divides the new PDP sequence into a plurality of windows, determines the target window according to the updated detection threshold and the windows, and further determines the user detection result according to the target window, namely, when the user detection result is determined according to the updated detection threshold and the new PDP sequence, the new PDP sequence is divided into the windows, and the window with the sequence point with the power larger than the updated detection threshold is selected from the windows to determine the target window, and further the detection result of the user is determined according to the target window, so that the condition of missing detection is avoided.
Based on the above embodiment, the terminal may further process a window to which the user accesses to obtain an estimated time advance of the user corresponding to the window, which is described in detail below through fig. 4-6.
Fig. 4 is a flowchart of a user detection method in another embodiment, which relates to a specific process of how to obtain the estimated time advance, as shown in fig. 4, and the method includes the following steps:
s301, selecting sequence points with sequence point power larger than an updated detection threshold in a target window to obtain a first sequence point set.
S302, determining a left array and a right array according to a first sequence point set, wherein the left array comprises sequence points before a first sequence point in the first sequence point set in a target window; the right array includes sequence points in the target window that follow a first sequence point in the first sequence point set.
Specifically, when sequence points with power larger than the updated detection threshold in the target window are selected to obtain a first sequence point set, a left array and a right array can be constructed in the target window, wherein the left array comprises sequence points before a first sequence point in the first sequence point set in the target window; the right array includes sequence points in the target window that follow a first sequence point in the first sequence point set.
Alternatively, the left-hand array and the right-hand array may be determined by the embodiment shown in FIG. 5. Fig. 5 is a flowchart of a user detection method in another embodiment, which relates to a specific process of determining a left array and a right array according to a first sequence point set, as shown in fig. 5, S302 "determine a left array and a right array according to the first sequence point set", and a possible implementation method includes the following steps:
s401, acquiring the position of the first sequence point in the target window.
The first sequence point set is a set of sequence points with the sequence point power in the target window being greater than the updated detection threshold, that is, the sequence points in the first sequence point set are sequence points in the target window, so that the position of the first sequence point in the target window can be determined by determining the first sequence point in the first sequence point set.
S402, obtaining average power of a target window, and selecting sequence points with sequence point power larger than the average power of the target window in the target window to obtain a second sequence point set.
Specifically, the target window includes a plurality of sequence points, and the power of each sequence point in the target window can be added, and the number of the sequence points in the target window is processed to obtain the average power of the target window. And selecting the sequence points with the sequence point power larger than the average power of the target window in the target window as a second sequence point set.
S403, determining a search factor according to the number of the sequence points in the first sequence point set and the number of the sequence points in the second sequence point set.
Specifically, after the first sequence point set and the second sequence point set are obtained, the search factor may be determined according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set.
Optionally, determining a search factor according to the number of sequence points in the first sequence point set, the number of sequence points in the second sequence point set and the third formula; the third formula includes:
N search representing the search factor, W N Representing a number of sequence points in the second set of sequence points; k represents the number of sequence points in the first set of sequence points.
Wherein, when the sequence points in the second sequence point setWhen the number is greater than the number of sequence points in the first set of sequence points, a search factor may be determined as (W N -K)/2, wherein W N Representing a number of sequence points in the second set of sequence points; k represents the number of sequence points in the first set of sequence points. When the number of sequence points in the second sequence point set is less than or equal to the number of sequence points in the first sequence point set, the search factor is 0.
S404, determining a left array and a right array according to the search factors and the target window.
Wherein, after the search factor is obtained, the left array and the right array can be determined according to the search factor and the target window.
Optionally, determining a left array according to the search factor, the target window and the first formula; the first formula includes:WinLeft represents the left array, +.>Representing a target window, pos_l representing the position of a first sequence point in the first sequence point set in the target window; determining a right array according to the search factor, the target window and the second formula; the second formula includes:WinRight represents the right array.
S303, obtaining the estimated time advance according to the left array and the right array.
On the basis of the above embodiment, after the left-side array and the right-side data are determined, an estimated Time Advance (TA) may be obtained from the left-side array and the right-side data.
Alternatively, the estimated time advance may be determined by the embodiment shown in fig. 6. Fig. 6 is a flowchart of a user detection method in another embodiment, and this embodiment relates to a specific process of obtaining an estimated time advance according to a left array and a right array, as shown in fig. 6, "obtaining an estimated time advance according to a left array and a right array", a possible implementation method includes the following steps:
S501, obtaining a left target sequence point with the maximum power in a left array and a right target sequence point with the maximum power in a right array.
S502, determining a left target position of a left target sequence point in a target window and a right target position of a right target sequence point in the target window.
S503, determining the estimated time advance according to the left target position, the right target position and the target window. Optionally, determining an estimated time advance according to the left target position, the right target position, the target window and the fourth formula; the fourth formula includes:TA represents estimated time advance; firstPoint represents the left target position, lastPoint represents the right target position; />Representing the target window.
Specifically, the estimated time advance is determined according to the left target position, the right target position, the target window, and the fourth equation, and the estimated time advance may be the positions of all sequence points between the left target position and the right target position in the target window. For example, there are 2 sequence points between the left target position and the right target position in the target window, namely, the sequence point 1 and the sequence point 2, and then the estimated time advance determined according to the left target position, the right target position, the target window and the fourth formula is the left target position, the position of the sequence point 1, the position of the sequence point 2 and the right target position.
According to the user detection method, the terminal obtains the first sequence point set by selecting the sequence points with the sequence point power larger than the updated detection threshold in the target window, and determines the left array and the right array according to the first sequence point set, wherein the left array comprises the sequence points before the first sequence point in the first sequence point set in the target window; the right array comprises sequence points after a first sequence point in the first sequence point set in the target window, and further, according to the left array and the right array, an estimated time advance is obtained, so that the obtained estimated time advance is obtained by calculating a value of a search factor, searching points near a peak value, and finding out two points with the largest two sides of the peak value. The problem that the TA estimation accuracy is reduced when the traditional method is used for carrying out the inverse Fourier transform on the PDP sequence and detecting the UE with low signal to noise ratio or at the cell edge is avoided.
Fig. 7 is a flowchart of a user detection method in another embodiment, which relates to a specific process of processing a received radio frequency signal to obtain a power delay spectrum PDP sequence, as shown in fig. 7, the above S101 "a possible implementation method for processing a received PRACH signal to obtain a PDP sequence" includes the following steps:
S601, performing cyclic prefix CP removal processing, downsampling filtering processing and Fourier transformation processing on the received PRACH signal to obtain a preamble sequence.
Specifically, as can be seen from the foregoing embodiments, the PRACH signal may be obtained according to a preamble sequence transmitted by a UE, which may be obtained according to a preamble sequence transmitted by one UE, or may be obtained according to a preamble sequence transmitted by a plurality of UEs. When the PRACH signal is obtained by the preamble sequences transmitted by a plurality of UEs, the base station may perform cyclic prefix CP processing, downsampling filtering processing, and fourier transform processing on the PRACH signal when receiving the PRACH signal, to obtain the preamble sequence corresponding to the preamble sequence transmitted by each UE. That is, the PRACH signal is subjected to a cyclic prefix CP removal process, a downsampling filter process, and a fourier transform process to obtain a preamble sequence, which corresponds to splitting the PRACH signal obtained from the plurality of preamble sequences into the plurality of preamble sequences.
S602, performing frequency domain conversion calculation on the preamble sequence through the local pseudo-random ZC sequence to obtain a related sequence.
Specifically, in the above embodiments, when the UE generates the preamble sequence, a pseudo-random code (Zadoff-Zhu, ZC)) sequence may be generated by using different root indexes, and then the ZC sequence may be cyclically shifted to generate a plurality of preamble sequences. Similarly, when the preamble sequence is obtained, the correlation sequence can be obtained by performing frequency domain conversion calculation on the preamble sequence through the local pseudo-random ZC sequence.
S603, performing inverse Fourier transform processing and antenna combination processing on the related sequences to obtain PDP sequences.
In the user detection method, the obtained PDP sequence is obtained by performing cyclic prefix CP processing, downsampling filtering processing and Fourier transform processing on the PRACH signal, obtaining a preamble sequence, performing frequency domain conversion calculation on the preamble sequence through a local pseudo-random ZC sequence, obtaining a related sequence, and performing inverse Fourier transform processing and antenna combination processing on the related sequence, wherein the PRACH signal is obtained by a plurality of preamble sequences sent by the UE. That is, the PDP sequence obtained in this embodiment is obtained according to the preamble sequence sent by the UE, and is a PDP sequence carrying information of the preamble sequence, so that the information of the preamble sequence can be expressed more accurately, and further, the accuracy of the user detection result obtained according to the PDP sequence is high.
It should be understood that, although the steps in the flowcharts of fig. 2-7 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-7 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily occur in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Fig. 8 is a schematic structural diagram of a user detection device provided in one embodiment, as shown in fig. 8, the user detection device includes: a processing module 10, an acquisition module 20, a peak clipping module 30 and a first determination module 40, wherein:
a processing module 10, configured to process the received PRACH signal to obtain a PDP sequence;
an acquisition module 20, configured to acquire an average power of the PDP sequence;
the peak clipping module 30 is configured to, if a preset condition is not satisfied between the average power and the noise power of the PDP sequence, perform peak clipping processing on the sequence point power in the PDP sequence that is greater than the detection threshold, obtain a new PDP sequence, update the detection threshold according to the new PDP sequence, and return to executing the step of obtaining the average power of the PDP sequence until the preset condition is satisfied between the average power and the noise power of the PDP sequence;
a first determining module 40, configured to obtain a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
The user detection device provided in the embodiment of the present application may execute the above method embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
Fig. 9 is a schematic structural diagram of a user detection device provided in another embodiment, and on the basis of the embodiment shown in fig. 8, as shown in fig. 9, the first determining module 40 includes: a dividing unit 401, a first determining unit 402, and a second determining unit 403, wherein:
a dividing unit 401 for dividing the new PDP sequence into a plurality of windows;
a first determining unit 402, configured to determine a target window according to the updated detection threshold and the multiple windows;
a second determining unit 403, configured to determine a user detection result according to the target window.
In one embodiment, the first determining unit 401 is specifically configured to determine, as the target window, a window in which a sequence point with a power greater than the updated detection threshold is located.
The user detection device provided in the embodiment of the present application may execute the above method embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
Fig. 10 is a schematic structural diagram of a user detection device provided in another embodiment, and on the basis of the embodiment shown in fig. 8 or fig. 9, as shown in fig. 10, the user detection device further includes: the second determining module 50, the second determining module 50 includes a selecting unit 501, a third determining unit 502, and a fourth determining unit 503, wherein:
A selecting unit 501, configured to select a sequence point in the target window, where the sequence point power is greater than the updated detection threshold, to obtain a first sequence point set;
the third determining unit 502 is configured to determine a left array and a right array according to the first sequence point set, where the left array includes a sequence point in the target window before a first sequence point in the first sequence point set; the right array comprises sequence points after a first sequence point in the first sequence point set in the target window;
the fourth determining unit 503 is configured to obtain an estimated time advance according to the left array and the right array.
In one embodiment, the third determining unit 502 is specifically configured to obtain a position of the first sequence point in the target window; obtaining the average power of a target window, and selecting sequence points with the sequence point power larger than the average power of the target window in the target window to obtain a second sequence point set; determining a search factor according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set; and determining a left array and a right array according to the search factors and the target window.
In one embodiment, the third determining unit 502 is specifically configured to determine the left array according to the search factor, the target window, and the first formula; the first formula includes: WinLeft represents the left array, +.>Representing a target window, pos_l representing that a first sequence point in the first sequence point set is atA location in the target window; determining a right array according to the search factor, the target window and the second formula; the second formula includes:WinRight represents the right array.
In one embodiment, the third determining unit 502 is specifically configured to determine the search factor according to the number of sequence points in the first sequence point set, the number of sequence points in the second sequence point set, and a third formula; the third formula includes:N search representing the search factor, W N Representing a number of sequence points in the second set of sequence points; k represents the number of sequence points in the first set of sequence points.
In one embodiment, the fourth determining unit 503 is specifically configured to obtain a left target sequence point with the greatest power in the left array, and a right target sequence point with the greatest power in the right array; determining a left target position of a left target sequence point in the target window and a right target position of a right target sequence point in the target window; and determining the estimated time advance according to the left target position, the right target position and the target window.
In one embodiment, the fourth determining unit 503 is specifically configured to determine the estimated time advance according to the left target position, the right target position, the target window, and the fourth formula; the fourth formula includes:
TA represents estimated time advance; firstPoint represents the left target position, lastPoint represents the right target position; />Representing the target window.
In one embodiment, the processing module 10 is specifically configured to perform a cyclic prefix CP removal process, a downsampling filtering process, and a fourier transform process on the received PRACH signal, to obtain a preamble sequence; performing frequency domain conversion calculation on the preamble sequence through a local pseudo-random ZC sequence to obtain a related sequence; and carrying out inverse Fourier transform processing and antenna combination processing on the related sequences to obtain the PDP sequences.
Fig. 10 is based on fig. 9, but fig. 10 may be based on fig. 8, which is only an example.
The user detection device provided in the embodiment of the present application may execute the above method embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
Fig. 11 is a schematic structural diagram of a user detection device provided in another embodiment, and on the basis of the embodiment shown in any one of fig. 8 to 10, as shown in fig. 11, the user detection device further includes: noise module 60, wherein:
the noise module 60 is configured to determine the noise power of the PDP sequence according to a predetermined noise threshold coefficient.
In one embodiment, the predetermined condition includes a difference between an average power of the PDP sequence and a noise power of the PDP sequence being less than a predetermined threshold.
Fig. 11 is based on fig. 10, but fig. 11 may be based on fig. 8 or fig. 9, which is only an example.
The user detection device provided in the embodiment of the present application may execute the above method embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
For a specific limitation of the user detection device, reference may be made to the limitation of the user detection method hereinabove, and the description thereof will be omitted. The respective modules in the above-described user detection apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal device, and an internal structure diagram thereof may be as shown in fig. 12. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a user detection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 12 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a terminal device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
processing the received PRACH signal to obtain a PDP sequence;
obtaining average power of the PDP sequence;
if the average power and the noise power of the PDP sequence do not meet the preset condition, carrying out peak clipping treatment on the sequence point power larger than the detection threshold in the PDP sequence to obtain a new PDP sequence, updating the detection threshold according to the new PDP sequence, and returning to execute the step of acquiring the average power of the PDP sequence until the average power and the noise power of the PDP sequence meet the preset condition;
obtaining a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
In one embodiment, the processor when executing the computer program further performs the steps of: dividing the new PDP sequence into a plurality of windows; determining a target window according to the updated detection threshold and the windows; and determining a user detection result according to the target window.
In one embodiment, the processor when executing the computer program further performs the steps of: and determining a window in which the sequence point with the power larger than the updated detection threshold is located as a target window.
In one embodiment, the processor when executing the computer program further performs the steps of: selecting sequence points with sequence point power larger than the updated detection threshold in a target window to obtain a first sequence point set; determining a left array and a right array according to the first sequence point set, wherein the left array comprises sequence points before a first sequence point in the first sequence point set in a target window; the right array comprises sequence points after a first sequence point in the first sequence point set in the target window; and obtaining the estimated time advance according to the left array and the right array.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring the position of a first sequence point in a target window; obtaining the average power of a target window, and selecting sequence points with the sequence point power larger than the average power of the target window in the target window to obtain a second sequence point set; determining a search factor according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set; and determining a left array and a right array according to the search factors and the target window.
In one embodiment, the processor when executing the computer program further performs the steps of: according to the search factor and the targetThe window and the first formula determine a left array; the first formula includes:WinLeft represents the left array, +.>Representing a target window, pos_l representing the position of a first sequence point in the first sequence point set in the target window; determining a right array according to the search factor, the target window and the second formula; the second formula includes:WinRight represents the right array.
In one embodiment, the processor when executing the computer program further performs the steps of: determining a search factor according to the number of sequence points in the first sequence point set, the number of sequence points in the second sequence point set and a third formula; the third formula includes:N search representing the search factor, W N Representing a number of sequence points in the second set of sequence points; k represents the number of sequence points in the first set of sequence points.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring a left target sequence point with the maximum power in a left array and a right target sequence point with the maximum power in a right array; determining a left target position of a left target sequence point in the target window and a right target position of a right target sequence point in the target window; and determining the estimated time advance according to the left target position, the right target position and the target window.
In one embodiment, the processor when executing the computer program further performs the steps of: determining an estimated time advance according to the left target position, the right target position, the target window and the fourth formula; the fourth formula includes:TA represents estimated time advance; firstPoint represents the left target position, lastPoint represents the right target position; />Representing the target window.
In one embodiment, the processor when executing the computer program further performs the steps of: performing cyclic prefix CP (cyclic prefix) removal processing, downsampling filtering processing and Fourier transformation processing on the received PRACH signal to obtain a preamble sequence; performing frequency domain conversion calculation on the preamble sequence through a local pseudo-random ZC sequence to obtain a related sequence; and carrying out inverse Fourier transform processing and antenna combination processing on the related sequences to obtain the PDP sequences.
In one embodiment, the processor when executing the computer program further performs the steps of: and determining the noise power of the PDP sequence according to a preset noise threshold coefficient.
In one embodiment, the predetermined condition includes a difference between an average power of the PDP sequence and a noise power of the PDP sequence being less than a predetermined threshold.
The implementation principle and technical effects of the terminal device provided in this embodiment are similar to those of the foregoing method embodiment, and are not described herein again.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
processing the received PRACH signal to obtain a PDP sequence;
obtaining average power of the PDP sequence;
if the average power and the noise power of the PDP sequence do not meet the preset condition, carrying out peak clipping treatment on the sequence point power larger than the detection threshold in the PDP sequence to obtain a new PDP sequence, updating the detection threshold according to the new PDP sequence, and returning to execute the step of acquiring the average power of the PDP sequence until the average power and the noise power of the PDP sequence meet the preset condition;
obtaining a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
In one embodiment, the computer program when executed by a processor performs the steps of: dividing the new PDP sequence into a plurality of windows; determining a target window according to the updated detection threshold and the windows; and determining a user detection result according to the target window.
In one embodiment, the computer program when executed by a processor performs the steps of: and determining a window in which the sequence point with the power larger than the updated detection threshold is located as a target window.
In one embodiment, the computer program when executed by a processor performs the steps of: selecting sequence points with sequence point power larger than the updated detection threshold in a target window to obtain a first sequence point set; determining a left array and a right array according to the first sequence point set, wherein the left array comprises sequence points before a first sequence point in the first sequence point set in a target window; the right array comprises sequence points after a first sequence point in the first sequence point set in the target window; and obtaining the estimated time advance according to the left array and the right array.
In one embodiment, the computer program when executed by a processor performs the steps of: acquiring the position of a first sequence point in a target window; obtaining the average power of a target window, and selecting sequence points with the sequence point power larger than the average power of the target window in the target window to obtain a second sequence point set; determining a search factor according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set; and determining a left array and a right array according to the search factors and the target window.
In one embodiment, the computer program when executed by a processor performs the steps of: determining a left array according to the search factor, the target window and the first formula; the first formula includes: WinLeft represents the left array, +.>Representing a target window, pos_l representing the position of a first sequence point in the first sequence point set in the target window; determining a right array according to the search factor, the target window and the second formula; the second formula includes: />WinRight represents the right array.
In one embodiment, the computer program when executed by a processor performs the steps of: determining a search factor according to the number of sequence points in the first sequence point set, the number of sequence points in the second sequence point set and a third formula; the third formula includes:N search representing the search factor, W N Representing a number of sequence points in the second set of sequence points; k represents the number of sequence points in the first set of sequence points.
In one embodiment, the computer program when executed by a processor performs the steps of: acquiring a left target sequence point with the maximum power in a left array and a right target sequence point with the maximum power in a right array; determining a left target position of a left target sequence point in the target window and a right target position of a right target sequence point in the target window; and determining the estimated time advance according to the left target position, the right target position and the target window.
In one embodiment, the computer program when executed by a processor performs the steps of: determining an estimated time advance according to the left target position, the right target position, the target window and the fourth formula; the fourth formula includes:TA represents estimated time advance; firstPoint represents the left target position, lastPoint represents the right target position；/>Representing the target window.
In one embodiment, the computer program when executed by a processor performs the steps of: performing cyclic prefix CP (cyclic prefix) removal processing, downsampling filtering processing and Fourier transformation processing on the received PRACH signal to obtain a preamble sequence; performing frequency domain conversion calculation on the preamble sequence through a local pseudo-random ZC sequence to obtain a related sequence; and carrying out inverse Fourier transform processing and antenna combination processing on the related sequences to obtain the PDP sequences.
In one embodiment, the computer program when executed by a processor performs the steps of: and determining the noise power of the PDP sequence according to a preset noise threshold coefficient.
In one embodiment, the predetermined condition includes a difference between an average power of the PDP sequence and a noise power of the PDP sequence being less than a predetermined threshold.
The computer readable storage medium provided in this embodiment has similar principles and technical effects to those of the above method embodiment, and will not be described herein.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (14)
1. A method of user detection, the method comprising:
processing the received PRACH signal to obtain a PDP sequence;
acquiring average power of the PDP sequence;
if the average power and the noise power of the PDP sequence do not meet the preset condition, carrying out peak clipping treatment on the sequence point power larger than the detection threshold in the PDP sequence to obtain a new PDP sequence, updating the detection threshold according to the new PDP sequence, and returning to execute the step of acquiring the average power of the PDP sequence until the average power and the noise power of the PDP sequence meet the preset condition; the preset condition comprises that the ratio between the average power of the PDP sequence and the noise power of the PDP sequence is smaller than a preset threshold value;
Obtaining a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
2. The method for detecting a user according to claim 1, wherein said obtaining a user detection result according to the updated detection threshold and the new PDP sequence comprises:
dividing the new PDP sequence into a plurality of windows;
determining a target window according to the updated detection threshold and the windows;
and determining the user detection result according to the target window.
3. The method of claim 2, wherein said determining a target window based on said updated detection threshold and said plurality of windows comprises:
and determining a window in which the sequence point with the power larger than the updated detection threshold is located as the target window.
4. A user detection method according to any one of claims 2-3, wherein the method further comprises:
selecting sequence points with sequence point power larger than the updated detection threshold in the target window to obtain a first sequence point set;
determining a left array and a right array according to the first sequence point set, wherein the left array comprises sequence points before a first sequence point in the first sequence point set in the target window; the right array comprises sequence points after a first sequence point in the first sequence point set in the target window;
And obtaining the estimated time advance according to the left array and the right array.
5. The method of claim 4, wherein determining a left array and a right array from the first set of sequence points comprises:
acquiring the position of the first sequence point in the target window;
acquiring the average power of the target window, and selecting sequence points with sequence point power larger than the average power of the target window in the target window to obtain a second sequence point set;
determining a search factor according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set;
and determining the left array and the right array according to the search factor and the target window.
6. The user detection method of claim 5, wherein the determining the left array and the right array according to the search factor and the target window comprises:
determining the left array according to the search factor, the target window and a first formula; the first formula includes:said WinLeft represents said left array, said +. >Representing the target window, wherein pos_l represents the position of a first sequence point in the first sequence point set in the target window;
determining the right array according to the search factor, the target window and a second formula; the second formula includes:the WinRight represents the right array.
7. The method according to claim 5 or 6, wherein determining the search factor according to the number of sequence points in the first sequence point set and the number of sequence points in the second sequence point set comprises:
determining the search factor according to the number of sequence points in the first sequence point set, the number of sequence points in the second sequence point set and a third formula; the third formula includes:
nsearch represents a search factor, W N Representing a number of sequence points in the second set of sequence points; the K represents the number of sequence points in the first set of sequence points.
8. The user detection method of claim 6, wherein the obtaining the estimated time advance from the left side array and the right side array comprises:
acquiring a left target sequence point with the maximum power in the left array and a right target sequence point with the maximum power in the right array;
Determining a left target position of the left target sequence point in the target window and a right target position of the right target sequence point in the target window;
and determining the estimated time advance according to the left target position, the right target position and the target window.
9. The user detection method of claim 8, wherein the determining the estimated time advance based on the left target position, the right target position, and the target window comprises:
determining the estimated time advance according to the left target position, the right target position, the target window and a fourth formula; the fourth formula includes:
the TA represents the estimated time advance; the first point represents a left target position, and the LastPoint represents a right target position; the saidRepresenting the target window.
10. A method for detecting a user according to any one of claims 1 to 3, wherein the processing the received PRACH signal to obtain a PDP sequence comprises:
performing cyclic prefix CP (cyclic prefix) removal processing, downsampling filtering processing and Fourier transformation processing on the received PRACH signal to obtain a preamble sequence;
Performing frequency domain conversion calculation on the preamble sequence through a local pseudo-random ZC sequence to obtain a related sequence;
and carrying out inverse Fourier transform processing and antenna combination processing on the related sequence to obtain the PDP sequence.
11. A user detection method according to any of claims 1-3, characterized in that the preset condition comprises that the difference between the average power of the PDP sequence and the noise power of the PDP sequence is smaller than a preset threshold.
12. A user detection device, the device comprising:
the processing module is used for processing the received PRACH signal to obtain a PDP sequence;
an acquisition module, configured to acquire an average power of the PDP sequence;
the peak clipping module is configured to, if a preset condition is not satisfied between the average power and the noise power of the PDP sequence, perform peak clipping processing on the sequence point power in the PDP sequence that is greater than a detection threshold, obtain a new PDP sequence, update the detection threshold according to the new PDP sequence, and return to the step of obtaining the average power of the PDP sequence, until the preset condition is satisfied between the average power and the noise power of the PDP sequence; the preset condition comprises that the ratio between the average power of the PDP sequence and the noise power of the PDP sequence is smaller than a preset threshold value;
The first determining module is used for obtaining a user detection result according to the updated detection threshold and the new PDP sequence; the user detection result is used for indicating whether user access exists in the PDP sequence.
13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1-11 when the computer program is executed.
14. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1-11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911377815.0A CN110933703B (en) | 2019-12-27 | 2019-12-27 | User detection method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911377815.0A CN110933703B (en) | 2019-12-27 | 2019-12-27 | User detection method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110933703A CN110933703A (en) | 2020-03-27 |
| CN110933703B true CN110933703B (en) | 2023-07-28 |
Family
ID=69861377
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911377815.0A Active CN110933703B (en) | 2019-12-27 | 2019-12-27 | User detection method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110933703B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117320178A (en) * | 2022-06-22 | 2023-12-29 | 中兴通讯股份有限公司 | Peak detection method, base station, communication system and medium for PRACH |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101783754A (en) * | 2010-02-23 | 2010-07-21 | 浪潮通信信息系统有限公司 | Measuring method for internet service user to percept QoE |
| CN102316601A (en) * | 2011-09-28 | 2012-01-11 | 北京北方烽火科技有限公司 | Leader sequence detection method and device for random access channel |
| CN103369510A (en) * | 2012-04-10 | 2013-10-23 | 中兴通讯股份有限公司 | APN information configuration method and device |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103108338B (en) * | 2011-11-14 | 2015-06-17 | 京信通信系统（中国）有限公司 | Detection method, device and base station for random access signal |
| CN103457885B (en) * | 2012-05-31 | 2016-09-14 | 华为技术有限公司 | Channel estimation methods, channel estimating apparatus and receiver |
| CN105024951B (en) * | 2014-04-28 | 2018-10-23 | 电信科学技术研究院 | A kind of power delay spectrum PDP methods of estimation and device |
| CN105764153A (en) * | 2014-12-19 | 2016-07-13 | 联芯科技有限公司 | Signature sequence detection method and apparatus of uplink random access |
| US10887939B2 (en) * | 2017-08-10 | 2021-01-05 | Comcast Cable Communications, Llc | Transmission power control for beam failure recovery requests |
-
2019
- 2019-12-27 CN CN201911377815.0A patent/CN110933703B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101783754A (en) * | 2010-02-23 | 2010-07-21 | 浪潮通信信息系统有限公司 | Measuring method for internet service user to percept QoE |
| CN102316601A (en) * | 2011-09-28 | 2012-01-11 | 北京北方烽火科技有限公司 | Leader sequence detection method and device for random access channel |
| CN103369510A (en) * | 2012-04-10 | 2013-10-23 | 中兴通讯股份有限公司 | APN information configuration method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110933703A (en) | 2020-03-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110311747B (en) | Anti-large frequency offset frame synchronization method, device and system | |
| CN110351010B (en) | Channel blind detection method, signal transmission method and related equipment | |
| CN107548094B (en) | Method for transmitting user sequence, network equipment and terminal equipment | |
| RU2730591C1 (en) | Method and apparatus for transmitting system information | |
| JP7257444B2 (en) | Random access preamble sequence generation method and user equipment | |
| US11627543B2 (en) | Terminal and method for performing cell search in wireless communication system | |
| RU2740706C1 (en) | Wireless communication method and device | |
| WO2017036325A1 (en) | Signal synchronization method and device | |
| CN111684731A (en) | Communication method, communication device and network device | |
| CN110933703B (en) | User detection method, device, equipment and storage medium | |
| CN109802711B (en) | Method for determining uplink multi-antenna transmission codebook, network equipment and terminal equipment | |
| CN110140302B (en) | Method for transmitting signal, terminal equipment and network equipment | |
| US20130039439A1 (en) | Multicarrier transmitting apparatus and multicarrier transmitting method | |
| CN112543500B (en) | Random access method, random access device, computer equipment and storage medium | |
| CN109644348B (en) | Random access method, device and system | |
| CN110312321B (en) | Method, device and terminal for determining random access resident frequency point | |
| US20190230582A1 (en) | Method for determining parameter set of cell, method for sending parameter set of cell, device, and system | |
| CN107006034A (en) | The method and relevant device of uplink random access | |
| CN114389765B (en) | Mapping method, device and terminal of preamble sequence | |
| CN113676274B (en) | Signal time delay estimation method, device, equipment and storage medium | |
| CN110602740B (en) | Method, device, storage medium and user equipment for determining same frequency interference | |
| EP3606211A1 (en) | Wireless communication method, terminal device, and network device | |
| CN111602458B (en) | Method and apparatus for NPRACH detection | |
| CN107333283B (en) | Random access detection method and device | |
| CN107733599B (en) | Method and apparatus for demodulation reference signal enhancement |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 510663 Shenzhou Road 10, Guangzhou Science City, Guangzhou economic and Technological Development Zone, Guangzhou, Guangdong Applicant after: Jingxin Network System Co.,Ltd. Address before: 510663 Shenzhou Road 10, Guangzhou Science City, Guangzhou economic and Technological Development Zone, Guangzhou, Guangdong Applicant before: COMBA TELECOM SYSTEMS (CHINA) Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |