CN115226197A - Frame timing synchronization method and device for wireless communication and electronic equipment - Google Patents
Frame timing synchronization method and device for wireless communication and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W56/00—Synchronisation arrangements
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- H—ELECTRICITY
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- H04J3/00—Time-division multiplex systems
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- H04J3/0605—Special codes used as synchronising signal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J3/00—Time-division multiplex systems
- H04J3/02—Details
- H04J3/06—Synchronising arrangements
- H04J3/0602—Systems characterised by the synchronising information used
- H04J3/0605—Special codes used as synchronising signal
- H04J3/0608—Detectors therefor, e.g. correlators, state machines
Abstract
The embodiment of the application provides a frame timing synchronization method, a frame timing synchronization device, electronic equipment and a storage medium for wireless communication, wherein the method comprises the following steps: acquiring a local frame synchronization head sequence; acquiring air interface data; performing sliding window cross-correlation processing according to the local frame synchronization head sequence and the air interface data to obtain a measurement function; performing threshold judgment on the metric function to obtain an index value set; and carrying out maximum value judgment on the index value set to obtain a frame synchronization position. By implementing the embodiment of the application, the frame synchronization performance is improved, the obtained frame synchronization position is more accurate, and the calculation process is simplified.
Description
Technical Field
The present application relates to the field of wireless communication technologies, and in particular, to a method, an apparatus, and an electronic device for frame timing synchronization in wireless communication.
Background
In the existing wireless communication timing synchronization technology, a known digital communication sequence predefined by a receiving end and a sending end can be used as a communication synchronization unit, the communication receiving end performs time domain correlation operation by using a local known sequence and a received signal, an operation result is used as a measurement function, and a synchronization position index value is obtained by a threshold value judgment mode, so that frame timing synchronization is realized.
However, in a complex wireless communication channel environment, the correlation operation result decreases with the decrease of the signal-to-noise ratio, and in a multipath fading channel situation, the correlation operation result may have a plurality of adjacent interference peaks, and in this situation, the selection of the threshold and the metric function has a great influence on the accuracy of the timing synchronization.
The complexity of the related operation is high, and large hardware resources are needed for implementation. Under the conditions of low signal-to-noise ratio and wireless fading channel, the correlation operation peak value is greatly influenced, and higher false-detection omission and false-alarm probability exists when the peak value is judged by using a preset threshold value, so that the synchronization performance is reduced.
Disclosure of Invention
The embodiment of the application aims to provide a frame timing synchronization method, a frame timing synchronization device and electronic equipment for wireless communication, so that the frame synchronization performance is improved, the obtained frame synchronization position is more accurate, and the calculation process is simplified.
In a first aspect, an embodiment of the present application provides a frame timing synchronization method for wireless communication, where the method includes:
acquiring a local frame synchronization header sequence;
acquiring air interface data;
performing sliding window cross-correlation processing on the local frame synchronization head sequence and the air interface data to obtain a measurement function;
carrying out threshold value judgment on the metric function to obtain an index value set;
and carrying out maximum value judgment on the index value set to obtain a frame synchronization position.
In the implementation process, the frame synchronization position is obtained by performing sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data and further performing threshold value judgment on the measurement function, so that the frame synchronization performance is improved, the obtained frame synchronization position is more accurate, and the calculation process is simplified.
Further, the step of acquiring a local frame synchronization header sequence includes:
acquiring a first length sequence;
zero padding operation is carried out on the first length sequence to obtain a second length sequence;
and performing inverse discrete Fourier transform on the second length sequence to obtain the local frame synchronization head sequence.
In the implementation process, the second length sequence is obtained according to the first length sequence, and the second length sequence is subjected to inverse discrete Fourier transform to obtain the local frame synchronization header sequence, so that errors in the calculation process can be reduced, and the obtained local frame synchronization header sequence is more accurate.
Further, the step of performing threshold decision on the metric function to obtain an index value set includes:
carrying out fixed threshold judgment on the metric function to obtain the metric function after the fixed threshold judgment;
performing dynamic threshold judgment on the metric function to obtain the metric function after the dynamic threshold judgment;
and obtaining the index value set according to the metric function after the decision of the fixed threshold and the metric function after the decision of the dynamic threshold.
In the implementation process, the threshold judgment is carried out on the measurement function, so that the influence of noise on the frame synchronization performance can be reduced, the accuracy of the index in the frame synchronization process is improved, and the influence of a multipath channel on the frame synchronization performance can be effectively reduced.
Further, the step of performing fixed threshold decision on the metric function to obtain the metric function after the fixed threshold decision includes:
acquiring a fixed threshold value;
and carrying out fixed threshold judgment on the measurement function according to the fixed threshold, and obtaining the measurement function after the fixed threshold judgment.
In the implementation process, the fixed threshold judgment is carried out on the measurement function according to the fixed threshold, so that the error of the measurement function on frame synchronization can be reduced, and the obtained frame synchronization position is more accurate.
Further, the step of performing dynamic threshold decision on the metric function to obtain the metric function after the dynamic threshold decision includes:
acquiring a dynamic threshold value;
and performing dynamic threshold value judgment on the metric function according to the dynamic threshold value to obtain the metric function after the dynamic threshold value judgment.
In the implementation process, the dynamic threshold value judgment is carried out on the measurement function according to the dynamic threshold value, so that the influence of noise on frame synchronization can be reduced, and the accuracy of the frame synchronization position is ensured.
Further, the step of performing maximum value decision on the index value set to obtain a frame synchronization position includes:
obtaining a measurement function value in the index value set;
and selecting an index value corresponding to the maximum metric function value in the metric function values as the frame synchronization position.
In the implementation process, the index value corresponding to the maximum metric function value in the metric function values is used as the frame synchronization position, so that the error of the frame synchronization position can be reduced, the operation process is simplified, and the time is saved.
Further, the measurement function is obtained by performing sliding window cross-correlation processing on the local frame synchronization header sequence and the null data according to the following formula:
wherein D (k) is the metric function, R (k) is the sliding window cross-correlation operation result, P 1 Synchronizing the power sum of header sequences for said local frames, P 2 (k) And for the power sum of the air interface data, x (N) is the local frame synchronization header sequence, r (N) is the air interface data, N is the window length, i is the sample sequence number corresponding to the window length, and k is the starting point position corresponding to the window during each sliding of the window.
Further, the dynamic threshold value is obtained by the following formula:
wherein λ (k) is the dynamic threshold, μ is the dynamic threshold coefficient, i is the sample number corresponding to the window length, k is the starting point position corresponding to the window during each sliding window, M is the accumulated length of the metric function, and D (k) is the metric function (k is assigned as
)。
In a second aspect, an embodiment of the present application further provides a frame timing synchronization apparatus for wireless communication, where the apparatus includes:
the acquisition module is used for acquiring a local frame synchronization header sequence; the data acquisition module is also used for acquiring air interface data;
a sliding window cross-correlation module, configured to perform sliding window cross-correlation processing according to the local frame synchronization header sequence and the air interface data to obtain a metric function;
the decision module is used for carrying out threshold value decision on the metric function to obtain an index value set;
and the selection module is used for carrying out maximum value judgment on the index value set to obtain a frame synchronization position.
In the implementation process, the frame synchronization position is obtained by performing sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data and then performing threshold judgment on the measurement function, so that the frame synchronization performance is improved, the obtained frame synchronization position is more accurate, and the calculation process is simplified.
In a third aspect, an electronic device provided in an embodiment of the present application includes: memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any of the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, cause the computer to perform the method according to any one of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product, which when run on a computer, causes the computer to perform the method according to any one of the first aspect.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part may be learned by the practice of the above-described techniques of the disclosure, or may be learned by practice of the disclosure.
The present invention can be implemented in accordance with the teachings of the specification, which is to be read in conjunction with the following detailed description of the presently preferred embodiments of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart illustrating a frame timing synchronization method for wireless communication according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a frame timing synchronization apparatus for wireless communication according to an embodiment of the present disclosure;
fig. 3 is a schematic structural component diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
The following detailed description of the present application will be made with reference to the accompanying drawings and examples. The following examples are intended to illustrate the present application, but are not intended to limit the scope of the present application.
Example one
Fig. 1 is a flowchart of a frame timing synchronization method for wireless communication according to an embodiment of the present application, where as shown in fig. 1, the method includes:
s1, acquiring a local frame synchronization header sequence;
s2, acquiring air interface data;
s3, performing sliding window cross-correlation processing on the local frame synchronization head sequence and the air interface data to obtain a measurement function;
s4, performing threshold value judgment on the measurement function to obtain an index value set;
and S5, carrying out maximum value judgment on the index value set to obtain a frame synchronization position.
In the implementation process, the frame synchronization position is obtained by performing sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data and further performing threshold value judgment on the measurement function, so that the frame synchronization performance is improved, the obtained frame synchronization position is more accurate, and the calculation process is simplified.
Further, S1 includes:
acquiring a first length sequence;
zero padding operation is carried out on the first length sequence to obtain a second length sequence;
and performing inverse discrete Fourier transform on the second length sequence to obtain a local frame synchronization head sequence.
In the implementation process, the second length sequence is obtained according to the first length sequence, and the inverse discrete fourier transform is performed on the second length sequence to obtain the local frame synchronization header sequence, so that the error in the calculation process can be reduced, and the obtained local frame synchronization header sequence is more accurate.
Illustratively, a first length sequence d (n) of length 62, which has power banner characteristics and good auto-and cross-correlation characteristics, may be generated by:
zero padding is performed on both sides of the first length sequence d (n) to generate a second length sequence z (n), which is defined as [ 0.. 0, d (0),,,, d (61), 0,. 0], with 33 zero values padded on both sides, and the length of the sequence z (n) is 128.
And performing inverse discrete Fourier transform on the sequence z (n) to generate a local frame synchronization header sequence x (n) with the length of 128.
Further, in S3, a measurement function is obtained by performing sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data according to the following formula:
wherein D (k) is a metric function, R (k) is a sliding window cross-correlation operation result, P 1 Synchronizing the power sum, P, of the header sequence for the local frame 2 (k) And for the power sum of air interface data, x (N) is a local frame synchronization header sequence, r (N) is the air interface data, N is the window length, i is a sample sequence number corresponding to the window length, and k is a starting point position corresponding to the window during each window sliding.
The sliding window cross-correlation is to store the samples received at the current time and the samples received prior to that time. Exemplarily, a local frame synchronization header sequence and null data are subjected to correlation processing, and the result is R (0), where the local frame synchronization header sequence is a sequence x (n) composed of 127 samples, the null data is a sequence R (n) composed of 128 samples, an operation length 128 is defined as a sliding window length, a correlation operation is performed on a sample received at the next time, a sequence x (n) composed of 127 samples received and stored before the time, and a sequence R (n) composed of 128 samples, and the result is R (1), and the process is referred to as a sliding window cross-correlation operation. The essence of the sliding window cross-correlation operation is to search a section of data most similar to R (n) in the received local frame synchronization header sequence by using air interface data R (n), wherein when the similarity is strongest, the value of R (k) is the largest.
Illustratively, when the window length is 128, i.e. the length of the local frame synchronization header sequence, the sliding window is to perform a cross-correlation operation on each received sample and the previously received 127 samples to form r (n) and x (n), and the expression is as follows:
the following metric functions are generated:
wherein P is 1 And P 2 (k) Are respectively defined as follows:
further, S4 includes:
carrying out fixed threshold judgment on the measurement function to obtain the measurement function after the fixed threshold judgment;
carrying out dynamic threshold judgment on the measurement function to obtain the measurement function after the dynamic threshold judgment;
and obtaining an index value set according to the metric function after the fixed threshold value decision and the metric function after the dynamic threshold value decision.
In the implementation process, the threshold judgment is carried out on the measurement function, so that the influence of noise on the frame synchronization performance can be reduced, the accuracy of the index in the frame synchronization process is improved, and the influence of a multipath channel on the frame synchronization performance can be effectively reduced.
And (5) carrying out fixed threshold judgment on the measurement function D (k), and recording the value of k when the value of D (k) is greater than the fixed threshold. The fixed threshold value of the embodiment of the application is obtained through simulation, the fixed threshold value actually changes with the signal-to-noise ratio during simulation, and the fixed threshold value delta of the measurement function D (k) is obtained according to the actual simulation, wherein the fixed threshold value delta is taken as the fixed threshold value delta when the signal-to-noise ratio is-5 dB, and the value is 0.058.
Further, the step of performing fixed threshold decision on the metric function to obtain the metric function after the fixed threshold decision includes:
acquiring a fixed threshold value;
and carrying out fixed threshold judgment on the measurement function according to the fixed threshold value to obtain the measurement function after the fixed threshold value judgment.
In the implementation process, the fixed threshold judgment is carried out on the measurement function according to the fixed threshold, so that the error of the measurement function on frame synchronization can be reduced, and the obtained frame synchronization position is more accurate.
The goal of threshold decision on the metric function R (k) is to find the most correlated R (k) and determine the possible valid synchronization positions. And R (k) smaller than the fixed threshold is considered invalid, and R (k) larger than the fixed threshold is judged by using the dynamic threshold.
Further, the step of performing dynamic threshold decision on the metric function to obtain the metric function after the dynamic threshold decision includes:
acquiring a dynamic threshold value;
and performing dynamic threshold judgment on the measurement function according to the dynamic threshold to obtain the measurement function after the dynamic threshold judgment.
In the implementation process, the dynamic threshold value judgment is carried out on the measurement function according to the dynamic threshold value, so that the influence of noise on frame synchronization can be reduced, and the accuracy of the frame synchronization position is ensured.
Further, the dynamic threshold value is obtained by the following formula:
wherein, λ (k) is dynamic threshold value, μ is dynamic threshold coefficient, i is sample serial number corresponding to window length, k is initial point position corresponding to window during each sliding window, M is cumulative length of measurement function, and D (k) is measurement function (k is assigned as value
)。
Because the influence of random noise exists in a transmission channel, the sliding window cross-correlation operation result R (k) of a receiving end has fluctuation, namely weak correlation is possibly enhanced, and strong correlation is possibly weakened, so that the dynamic threshold is utilized to judge the R (k), in order to reduce the influence of the noise, a value of k which is smaller than the dynamic threshold is considered invalid, and a value of k which is larger than the fixed threshold and is considered to correspond to the dynamic threshold is considered to be a possible valid synchronization position.
Illustratively, when a dynamic threshold decision is made for the metric function D (k), the value of k is recorded when the value of D (k) is greater than the dynamic threshold. The dynamic threshold value lambda (k) corresponding to the index k value is obtained by taking the average value of the first 18 sample values of the current D (k), the current value of the D (k) and the last 19 sample values of the current D (k), wherein the mu value determines the false alarm probability and the missed detection probability when the dynamic threshold value is judged, the larger the mu value is, the smaller the missed detection probability is, and otherwise, the smaller the false alarm probability is, the larger the missed detection probability is. The mu value of the embodiment of the application is obtained through modeling simulation, and is used as the dynamic threshold value lambda of the measurement function D (k), the packet error rate is controlled within 1% when the signal-to-noise ratio is larger than-5 dB, and the mu value is 5.5. This gives:
further, the step of performing maximum value decision on the index value set to obtain the frame synchronization position includes:
obtaining a measurement function value in the index value set;
and selecting the index value corresponding to the maximum metric function value in the metric function values as a frame synchronization position.
In the implementation process, the index value corresponding to the maximum metric function value in the metric function values is used as the frame synchronization position, so that the error of the frame synchronization position can be reduced, the operation process is simplified, and the time is saved.
Recording the index value k of the metric function D (k) when the index value k is simultaneously greater than the solid threshold value delta and the dynamic threshold value lambda as k i Setting the adjacent decision interval β to take 256 as the adjacent index value k i When the difference value of (b) does not exceed beta, the adjacent index values k are set i Is defined as a new set G, defined as k i ,k i+1 ,.....,k i+m ]The set G needs to satisfy the condition:
k i+m -k i ＜＝β
k i+m+1 -k i ＞β；
d (k) values corresponding to the index values in the set G are compared, and the set [ D (k) ] i ),D(k i+1 ),....,D(k i+m )]The index value corresponding to the maximum value in the index table is the frame synchronization position, and is recorded as:
k s ∈max([D(k i ),D(k i+1 ),....,D(k i+m )])| k
the embodiment of the application utilizes a double-threshold judgment method to realize frame synchronization by judging the threshold of a measurement function, wherein the fixed threshold has the function that when the calculation result of the measurement function is smaller than the fixed threshold, an index value corresponding to the measurement function is not taken as a synchronous judgment index value, and the fixed threshold is obtained by simulation under the conditions that the signal-to-noise ratio is higher than-5 dB and the packet error rate is lower than 1%. The dynamic threshold value is obtained by multiplying the average value of the first 18 sample values, the current sample value and the last 19 sample values of the measurement function by a weight coefficient, the measurement function which is larger than the fixed threshold value is judged again by using the dynamic threshold value, finally, the adjacent measurement function value which is larger than the fixed threshold value and the dynamic threshold value is compared by using an adjacent judgment mode, and the index value corresponding to the maximum value of the function value is the frame synchronization position. The embodiment of the application reduces the probability of high false alarm caused by independent judgment of the fixed threshold, reduces the influence of noise on the frame synchronization performance, improves the accuracy of the synchronization index, and can effectively reduce the influence of a multipath channel on the synchronization performance by an adjacent judgment mode. The method can realize the frame synchronization above-5 dB, has the packet error rate below 1 percent, has low operation complexity and is easy to realize hardware.
Example two
In order to implement the method corresponding to the above-mentioned embodiment to achieve the corresponding functions and technical effects, the following provides a frame timing synchronization apparatus for wireless communication, as shown in fig. 2, the apparatus comprising:
an obtaining module 1, configured to obtain a local frame synchronization header sequence; the system is also used for acquiring air interface data;
the sliding window cross-correlation module 2 is used for performing sliding window cross-correlation processing according to the local frame synchronization header sequence and the air interface data to obtain a measurement function;
the decision module 3 is used for carrying out threshold decision on the measurement function to obtain an index value set;
and the selection module 4 is used for carrying out maximum value judgment on the index value set to obtain a frame synchronization position.
In the implementation process, the frame synchronization position is obtained by performing sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data and further performing threshold value judgment on the measurement function, so that the frame synchronization performance is improved, the obtained frame synchronization position is more accurate, and the calculation process is simplified.
Further, the obtaining module 1 is further configured to:
acquiring a first length sequence;
zero padding operation is carried out on the first length sequence to obtain a second length sequence;
and performing inverse discrete Fourier transform on the second length sequence to obtain a local frame synchronization head sequence.
Further, the decision module 3 is further configured to:
carrying out fixed threshold judgment on the measurement function to obtain the measurement function after the fixed threshold judgment;
carrying out dynamic threshold judgment on the measurement function to obtain the measurement function after the dynamic threshold judgment;
and obtaining an index value set according to the metric function after the fixed threshold value decision and the metric function after the dynamic threshold value decision.
Further, the decision module 3 is further configured to:
acquiring a fixed threshold value;
and performing fixed threshold judgment on the measurement function according to the fixed threshold value to obtain the measurement function after the fixed threshold judgment.
Further, the decision module 3 is further configured to:
acquiring a dynamic threshold value;
and performing dynamic threshold judgment on the measurement function according to the dynamic threshold to obtain the measurement function after the dynamic threshold judgment.
Further, the selecting module 4 is further configured to:
obtaining a measurement function value in the index value set;
and selecting the index value corresponding to the maximum metric function value in the metric function values as a frame synchronization position.
Further, the decision module 3 is further configured to perform sliding window cross-correlation processing on the local frame synchronization header sequence and the air interface data by using the following formula to obtain a measurement function:
wherein D (k) is a metric function, R (k) is a sliding window cross-correlation operation result, P 1 Synchronizing the power sum, P, of the header sequence for the local frame 2 (k) And for the power sum of air interface data, x (N) is a local frame synchronization header sequence, r (N) is the air interface data, N is the window length, i is a sample sequence number corresponding to the window length, and k is a starting point position corresponding to the window during each window sliding.
Further, the decision module 3 is further configured to obtain the dynamic threshold value by the following formula:
wherein λ (k) is dynamic threshold, μ is dynamic threshold coefficient, i is sample number corresponding to window length, k is initial point position corresponding to window during each sliding window, M is cumulative length of measurement function, and D (k) is measurement function (k is assigned as value
)。
The frame timing synchronization apparatus for wireless communication may implement the method of the first embodiment. The options in the first embodiment above are also applicable to the present embodiment, and are not described in detail here.
The rest of the embodiments of the present application may refer to the contents of the first embodiment, and in this embodiment, details are not repeated.
EXAMPLE III
An embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the frame timing synchronization method for wireless communication according to the first embodiment.
Alternatively, the electronic device may be a server.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device may include a processor 31, a communication interface 32, a memory 33, and at least one communication bus 34. Wherein the communication bus 34 is used for realizing direct connection communication of these components. The communication interface 32 of the device in this embodiment is used for performing signaling or data communication with other node devices. The processor 31 may be an integrated circuit chip having signal processing capabilities.
The Processor 31 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor 31 may be any conventional processor or the like.
The Memory 33 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 33 has stored therein computer readable instructions which, when executed by the processor 31, enable the apparatus to perform the various steps involved in the method embodiment of fig. 1 described above.
Optionally, the electronic device may further include a memory controller, an input output unit. The memory 33, the memory controller, the processor 31, the peripheral interface, and the input/output unit are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these components may be electrically connected to each other via one or more communication buses 34. The processor 31 is adapted to execute executable modules stored in the memory 33, such as software functional modules or computer programs comprised by the device.
The input and output unit is used for providing a task for a user to create and start an optional time period or preset execution time for the task creation so as to realize the interaction between the user and the server. The input/output unit may be, but is not limited to, a mouse, a keyboard, and the like.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In addition, an embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the frame timing synchronization method for wireless communication according to the first embodiment.
Embodiments of the present application further provide a computer program product, which when running on a computer, causes the computer to execute the method described in the method embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based devices that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method of frame timing synchronization for wireless communications, the method comprising:
acquiring a local frame synchronization head sequence;
acquiring air interface data;
performing sliding window cross-correlation processing on the local frame synchronization head sequence and the air interface data to obtain a measurement function;
performing threshold judgment on the metric function to obtain an index value set;
and carrying out maximum value judgment on the index value set to obtain a frame synchronization position.
2. The method for frame timing synchronization of wireless communication according to claim 1, wherein the step of acquiring the local frame synchronization header sequence comprises:
acquiring a first length sequence;
zero padding operation is carried out on the first length sequence to obtain a second length sequence;
and performing inverse discrete Fourier transform on the second length sequence to obtain the local frame synchronization head sequence.
3. The method of claim 1, wherein the step of performing threshold decision on the metric function to obtain a set of index values comprises:
carrying out fixed threshold judgment on the metric function to obtain the metric function after the fixed threshold judgment;
performing dynamic threshold judgment on the metric function to obtain the metric function after the dynamic threshold judgment;
and obtaining the index value set according to the metric function after the fixed threshold value judgment and the metric function after the dynamic threshold value judgment.
4. The method of claim 3, wherein the step of performing a fixed threshold decision on the metric function to obtain the metric function after the fixed threshold decision comprises:
acquiring a fixed threshold value;
and carrying out fixed threshold judgment on the measurement function according to the fixed threshold, and obtaining the measurement function after the fixed threshold judgment.
5. The method of claim 3, wherein the step of performing a dynamic threshold decision on the metric function to obtain the metric function after the dynamic threshold decision comprises:
acquiring a dynamic threshold value;
and performing dynamic threshold value judgment on the metric function according to the dynamic threshold value to obtain the metric function after the dynamic threshold value judgment.
6. The method of claim 1, wherein the step of performing a maximum value decision on the index value set to obtain a frame synchronization position comprises:
obtaining a measurement function value in the index value set;
and selecting an index value corresponding to the maximum metric function value in the metric function values as the frame synchronization position.
7. The method of claim 1, wherein the metric function is obtained by performing a sliding window cross-correlation on the local frame synchronization header sequence and the null data according to the following formula:
wherein D (k) is the metric function, R (k) is the sliding window cross-correlation operation result, P 1 Synchronizing the power sum of header sequences for said local frames, P 2 (k) And for the power sum of the air interface data, x (N) is the local frame synchronization header sequence, r (N) is the air interface data, N is the window length, i is the sample sequence number corresponding to the window length, and k is the starting point position corresponding to the window during each sliding of the window.
8. The method of claim 5, wherein the dynamic threshold value is obtained by the following formula:
wherein λ (k) is the dynamic threshold, μ is the dynamic threshold coefficient, i is the sample number corresponding to the window length, k is the starting point position corresponding to the window during each sliding window, M is the accumulated length of the metric function, and D (k) is the metric function (k is assigned as
)。
9. An apparatus for frame timing synchronization for wireless communication, the apparatus comprising:
the acquisition module is used for acquiring a local frame synchronization header sequence; the data acquisition module is also used for acquiring air interface data;
a sliding window cross-correlation module, configured to perform sliding window cross-correlation processing according to the local frame synchronization header sequence and air interface data to obtain a metric function;
the decision module is used for carrying out threshold decision on the metric function to obtain an index value set;
and the selection module is used for carrying out maximum value judgment on the index value set to obtain a frame synchronization position.
10. An electronic device, comprising a memory for storing a computer program and a processor for executing the computer program to cause the electronic device to perform the frame timing synchronization method for wireless communication according to any one of claims 1 to 8.
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| CN117295149B (en) * | 2023-11-23 | 2024-01-30 | 西华大学 | Frame synchronization method and system based on low-complexity ELM assistance |
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