CN115801163A - Method, device, equipment and medium for synchronizing symbols identified by calling number - Google Patents
Method, device, equipment and medium for synchronizing symbols identified by calling number Download PDFInfo
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- CN115801163A CN115801163A CN202211013581.3A CN202211013581A CN115801163A CN 115801163 A CN115801163 A CN 115801163A CN 202211013581 A CN202211013581 A CN 202211013581A CN 115801163 A CN115801163 A CN 115801163A
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Abstract
The invention discloses a method, a device, equipment and a medium for synchronizing symbols identified by calling numbers. The method comprises the following steps: determining a capture sampling point of a calling number identification signal as an initial symbol synchronization point, and acquiring a plurality of candidate symbol synchronization points corresponding to the initial symbol synchronization point; acquiring a sampling point set corresponding to each candidate symbol synchronization point, and acquiring a demodulation result of each candidate symbol synchronization point based on the number of preset sampling points; and according to the demodulation result, acquiring the prediction variance of each candidate symbol synchronization point, and acquiring a target symbol synchronization point corresponding to the minimum prediction variance. According to the technical scheme of the embodiment, a plurality of candidate symbol synchronization points are obtained by taking the capture sampling point of the calling number identification signal as the starting point, the prediction variance corresponding to each candidate symbol synchronization point is respectively calculated, and then the target symbol synchronization point corresponding to the minimum prediction variance is obtained by screening in each candidate symbol synchronization point, so that the accuracy and robustness of the symbol synchronization of the calling number identification can be improved.
Description
Technical Field
The present invention relates to the field of signal processing technologies, and in particular, to a method, an apparatus, a device, and a medium for symbol synchronization of calling number identification.
Background
Caller identification is an important function in telephone communication, and the core part of the caller identification is symbol synchronization and demodulation of caller identification signals, and the symbol synchronization can seriously affect the demodulation result of the caller identification signals. Therefore, the accurate synchronization of the symbols is of great significance for realizing the accurate demodulation of the caller identification signal.
Currently, the existing symbol synchronization method for calling number identification is usually delay phase multiplication, i.e. an input signal is delayed by pi/2 phases, and then multiplied by an original signal and then passed through a low-pass filter to obtain a decision result. However, in the identification of the calling number, the sampling frequency of the receiving end is usually not an integer multiple of the data transmission rate, and the number of sampling points corresponding to a unit symbol is small, so that the accurate pi/2 phase delay cannot be realized, and thus, an error is introduced, and the accuracy of symbol synchronization is influenced; in addition, the prior art needs to use a digital filter, which results in a large amount of computation, and thus the prior art cannot be applied to a hardware platform with low power consumption and low computation power.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for synchronizing symbols identified by a calling number, which can improve the accuracy and robustness of symbol synchronization identified by the calling number and improve the applicability of symbol synchronization identified by the calling number.
According to an aspect of the present invention, there is provided a method for symbol synchronization of calling number identification, comprising:
when the calling number identification signal is detected to be successfully captured, determining capture sampling points of the calling number identification signal as initial symbol synchronization points, and acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization points;
acquiring a sampling point set corresponding to each candidate symbol synchronization point, and performing joint demodulation on the sampling point set corresponding to each candidate symbol synchronization point based on the number of preset sampling points to acquire a demodulation result corresponding to each candidate symbol synchronization point;
and acquiring a prediction variance corresponding to each candidate symbol synchronization point according to a demodulation result corresponding to each candidate symbol synchronization point, and acquiring a target symbol synchronization point corresponding to the minimum prediction variance according to the prediction variance corresponding to each candidate symbol synchronization point.
According to another aspect of the present invention, there is provided a symbol synchronization apparatus for calling number identification, comprising:
the candidate symbol synchronization point acquisition module is used for determining a capture sampling point of the calling number identification signal as an initial symbol synchronization point and acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization point when the calling number identification signal is detected to be successfully captured;
a demodulation result acquisition module, configured to acquire a sampling point set corresponding to each candidate symbol synchronization point, and perform joint demodulation on the sampling point sets corresponding to each candidate symbol synchronization point based on a preset number of sampling points, so as to acquire a demodulation result corresponding to each candidate symbol synchronization point;
and the target symbol synchronization point acquisition module is used for acquiring the prediction variance corresponding to each candidate symbol synchronization point according to the demodulation result corresponding to each candidate symbol synchronization point and acquiring the target symbol synchronization point corresponding to the minimum prediction variance according to the prediction variance corresponding to each candidate symbol synchronization point.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method for symbol synchronization for calling number identification according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement a method for symbol synchronization for calling number identification according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, when the calling number identification signal is detected to be successfully captured, the capturing sampling point of the calling number identification signal is determined as the initial symbol synchronization point, and the candidate symbol synchronization points with the first preset number corresponding to the initial symbol synchronization point are obtained; then, acquiring a sampling point set corresponding to each candidate symbol synchronization point, and performing joint demodulation on the sampling point set corresponding to each candidate symbol synchronization point based on the number of preset sampling points to acquire a demodulation result corresponding to each candidate symbol synchronization point; furthermore, according to the demodulation result corresponding to each candidate symbol synchronization point, the prediction variance corresponding to each candidate symbol synchronization point is obtained, and according to the prediction variance corresponding to each candidate symbol synchronization point, the target symbol synchronization point corresponding to the minimum prediction variance is obtained, a plurality of candidate symbol synchronization points are obtained by taking the capture sampling point of the calling number identification signal as the starting point, the prediction variance corresponding to each candidate symbol synchronization point is respectively calculated, and then the target symbol synchronization point corresponding to the minimum prediction variance is obtained by screening in each candidate symbol synchronization point, so that the accuracy and robustness of the symbol synchronization identified by the calling number can be improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a symbol synchronization method for caller id according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a symbol synchronization apparatus for caller id according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device implementing the symbol synchronization method for calling number identification according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," "object," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for symbol synchronization of calling number identification according to an embodiment of the present invention, where the embodiment is applicable to a case where a calling number identification signal is symbol-synchronized during calling number identification, and the method may be executed by a symbol synchronization apparatus identified by a calling number, where the symbol synchronization apparatus identified by the calling number may be implemented in a form of hardware and/or software, and the symbol synchronization apparatus identified by the calling number may be configured in an electronic device, and typically, the electronic device may be a computer device or a server. As shown in fig. 1, the method includes:
s110, when the calling number identification signal is successfully captured, determining the capture sampling point of the calling number identification signal as an initial symbol synchronization point, and acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization point.
The calling number identification signal may include information such as a calling number of a calling subscriber, a calling date and time, and the like; typically, the calling number identification signal may be a Frequency Shift Keying (FSK) signal. By demodulating the calling number identification signal, the calling number of the calling subscriber can be acquired, and the caller identification function can be realized.
In the present embodiment, when the calling number identification signal is successfully captured in the received signal, a sampling point at the time of capturing the calling number identification signal may be determined as an initial symbol synchronization point. The sampling point may be a discrete signal obtained by sampling the received signal based on a preset sampling frequency. Typically, in caller number identification, the sampling frequency may be 8000Hz.
Furthermore, a certain number of sampling points can be respectively obtained at the left side and the right side by taking the initial symbol synchronization point as a center, so that the initial symbol synchronization point and each sampling point form a first preset number of candidate symbol synchronization points. The first preset number may be a preset fixed number, for example, 15. In a specific example, when the first preset number is 15, 7 sampling points may be respectively obtained on both sides of the initial symbol synchronization point.
S120, acquiring a sampling point set corresponding to each candidate symbol synchronization point, and performing joint demodulation on the sampling point sets corresponding to the candidate symbol synchronization points based on the number of preset sampling points to acquire a demodulation result corresponding to each candidate symbol synchronization point.
Wherein the set of sampling points may include at least one sampling point. In this embodiment, each candidate symbol synchronization point may be used as a starting point to obtain a certain number of sampling points, so as to form a set of corresponding sampling points.
The preset number of sampling points may be a preset value of the sampling points, for example, 20. In this embodiment, for the sampling point set corresponding to each candidate symbol synchronization point, sampling points of adjacent preset sampling points may be regarded as a group, and then each group of sampling points is demodulated in sequence, thereby implementing joint demodulation of each sampling point set. Therefore, for each sampling point set, a plurality of demodulation results corresponding to a plurality of groups of sampling points can be obtained; then, the multiple demodulation results may be spliced and combined to obtain a demodulation result corresponding to each sampling point set, that is, a demodulation result corresponding to each candidate symbol synchronization point.
It should be noted that, in the identification of the calling number, the data transmission rate between the switch and the receiving end is usually 1200 bits per second, and the sampling frequency of the receiving end is usually 8000Hz, so that the number of sampling points corresponding to each bit of data is not an integer multiple, and the number is small. Wherein one bit data is one symbol. Therefore, in the prior art, an accurate pi/2 phase delay cannot be achieved, resulting in low accuracy of symbol synchronization.
In view of the above problems, in this embodiment, based on the number of preset sampling points, joint demodulation is performed on the set of sampling points corresponding to each candidate symbol synchronization point, for example, demodulation is performed once every 20 sampling points (corresponding to 3 symbols), and it can be ensured that each demodulation is an integer number of symbols, so that it can be avoided that the sampling points corresponding to a unit symbol are fewer and non-integer multiples, which results in low symbol synchronization precision and poor anti-interference performance, and accurate synchronization of an FSK signal with a sampling frequency of 8000Hz and a symbol rate of 1200 bits per second in a 0dB channel environment can be achieved.
S130, according to the demodulation result corresponding to each candidate symbol synchronization point, obtaining the prediction variance corresponding to each candidate symbol synchronization point, and according to the prediction variance corresponding to each candidate symbol synchronization point, obtaining the target symbol synchronization point corresponding to the minimum prediction variance.
Specifically, firstly, for each candidate symbol synchronization point, a demodulation result corresponding to each group of sampling points is obtained; then, according to the demodulation result corresponding to each group of sampling points, averaging each bit of data of different demodulation results respectively to obtain an average demodulation result; and finally, acquiring the prediction variance corresponding to each candidate symbol synchronization point based on the demodulation result corresponding to each group of sampling points and the average demodulation result.
Further, the prediction variances corresponding to the candidate symbol synchronization points are compared numerically to obtain a minimum prediction variance, and the candidate symbol synchronization point corresponding to the minimum prediction variance is determined as a target symbol synchronization point. Then, the target symbol synchronization point can be used as the starting point of the calling number identification signal to obtain the actual sampling point corresponding to each bit data, thereby realizing the symbol synchronization of the calling number identification.
The setting has the advantages that the problem of large operation amount caused by applying a digital filter can be avoided, and accurate symbol synchronization of calling number identification based on a low-power-consumption and low-computation-force hardware platform can be realized.
According to the technical scheme of the embodiment of the invention, when the calling number identification signal is detected to be successfully captured, the capturing sampling point of the calling number identification signal is determined as the initial symbol synchronization point, and the candidate symbol synchronization points with the first preset number corresponding to the initial symbol synchronization point are obtained; then, acquiring a sampling point set corresponding to each candidate symbol synchronization point, and performing joint demodulation on the sampling point set corresponding to each candidate symbol synchronization point based on the number of preset sampling points to acquire a demodulation result corresponding to each candidate symbol synchronization point; furthermore, according to the demodulation result corresponding to each candidate symbol synchronization point, the prediction variance corresponding to each candidate symbol synchronization point is obtained, and according to the prediction variance corresponding to each candidate symbol synchronization point, the target symbol synchronization point corresponding to the minimum prediction variance is obtained, a plurality of candidate symbol synchronization points are obtained by taking the capture sampling point of the calling number identification signal as the starting point, the prediction variance corresponding to each candidate symbol synchronization point is respectively calculated, and then the target symbol synchronization point corresponding to the minimum prediction variance is obtained by screening in each candidate symbol synchronization point, so that the accuracy and the robustness of the symbol synchronization identified by the calling number can be improved.
In an optional implementation manner of this embodiment, the obtaining of the first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization point may include:
acquiring a second preset number of left sampling points and a second preset number of right sampling points corresponding to the initial symbol synchronization point;
and acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization points according to the initial symbol synchronization points, the second preset number of left sampling points and the second preset number of right sampling points.
The second preset number may be a preset number value, and may be 7, for example.
In a specific example, the initial symbol synchronization point may be taken as a midpoint, and its adjacent 7 left-side sample points and adjacent 7 right-side sample points are obtained respectively. Thereafter, the 7 left-side sampling points, the 7 right-side sampling points, and the initial symbol synchronization point may be combined to obtain 15 candidate symbol synchronization points.
In another optional implementation manner of this embodiment, obtaining a set of sampling points corresponding to each candidate symbol synchronization point may include:
and taking each candidate symbol synchronization point as a starting point, acquiring a third preset number of sampling points, and acquiring a sampling point set corresponding to each candidate symbol synchronization point according to the third preset number of sampling points.
The third preset number may be another preset number value, for example, 480.
In a specific example, after 15 candidate symbol synchronization points are acquired, 479 sampling points may be acquired with each candidate symbol synchronization point as a starting point to acquire 480 sampling points in total (corresponding to 72 symbols). Then, 480 sampling points corresponding to each candidate symbol synchronization point may be added to one set to obtain a set of sampling points corresponding to each candidate symbol synchronization point.
In another optional implementation manner of this embodiment, based on a preset number of sampling points, performing joint demodulation on a set of sampling points corresponding to each candidate symbol synchronization point to obtain a demodulation result corresponding to each candidate symbol synchronization point may include:
dividing the sampling point set corresponding to each candidate symbol synchronization point based on the number of the preset sampling points to obtain at least one sampling point subset corresponding to each candidate symbol synchronization point;
and sequentially demodulating each sampling point subset corresponding to each candidate symbol synchronization point to obtain a demodulation result corresponding to each candidate symbol synchronization point.
In a specific example, in the set of sampling points corresponding to each candidate symbol synchronization point, 20 sampling points are divided into a group, so as to divide each set of sampling points into 24 subsets of sampling points. And then, demodulating each sampling point subset respectively to obtain a demodulation result corresponding to each sampling point subset. And finally, combining the demodulation results corresponding to each sampling point subset to obtain the demodulation result corresponding to each candidate symbol synchronization point.
The setting has the advantages that the problems of low accuracy and poor anti-interference performance of symbol synchronization caused by the fact that the number of sampling points corresponding to a single symbol is small and is not integral multiple can be avoided, the accuracy and robustness of the symbol synchronization identified by the calling number can be improved, and the accurate symbol synchronization identified by the calling number can be realized in a channel environment with the signal-to-noise ratio of 0 dB.
In another optional implementation manner of this embodiment, sequentially demodulating each subset of sampling points corresponding to each candidate symbol synchronization point to obtain a demodulation result corresponding to each candidate symbol synchronization point may include:
inputting each sampling point subset corresponding to the current candidate symbol synchronization point into a pre-established prediction model, and acquiring a middle prediction result corresponding to the current candidate symbol synchronization point output by the prediction model;
and acquiring a theoretical transmission signal, comparing and analyzing the intermediate prediction result corresponding to the current candidate symbol synchronization point with the theoretical transmission signal, and acquiring a demodulation result corresponding to the current candidate symbol synchronization point according to the comparison and analysis result.
The prediction model can be used for demodulating the input calling number identification signal and outputting a corresponding demodulation result; the prediction model can be a second-order or third-order model, and the order of the prediction model can be selected according to the calculation force of the hardware platform. In this embodiment, when demodulating each subset of sampling points, each subset of sampling points may be input to the prediction model to obtain a demodulation result output by the prediction model.
The theoretical transmission signal may be a signal obtained by demodulating the predicted calling number identification signal, that is, an actual signal sent by the switch. It should be noted that, since the FSK signal is a sine wave signal with continuous phase, the predicted calling number identification signal, for example, a signal with regularly changing amplitude, can be obtained by screening from the received signal according to the self-linear correlation of the sine wave. The predicted calling number identification signal may then be demodulated to obtain the theoretical transmission signal.
Specifically, the intermediate prediction result and the data at the same position of the theoretical transmission signal may be compared and analyzed, and the final demodulation result of each bit may be determined according to the comparison and analysis result. For example, a data error between the data of the first bit of the intermediate prediction result and the data of the first bit of the theoretical transmission signal may be calculated, and a magnitude relationship between the data error and a preset error threshold may be determined, so as to set a corresponding value for the first bit according to the determination result.
In another optional implementation manner of this embodiment, comparing and analyzing the intermediate prediction result corresponding to the current candidate symbol synchronization point with the theoretical transmission signal, and obtaining the demodulation result corresponding to the current candidate symbol synchronization point according to the comparison and analysis result may include:
comparing data of each position in the intermediate prediction result with data of the same position in the theoretical transmission signal to obtain a data error corresponding to each position;
and acquiring demodulation data corresponding to each position according to the data error corresponding to each position, and acquiring a demodulation result corresponding to the current candidate symbol synchronization point according to the demodulation data corresponding to each position.
The intermediate prediction result and the theoretical transmission signal may have the same number of bits. In this embodiment, the corresponding bit data subtraction may be performed on the intermediate prediction result and the theoretical transmission signal to obtain the data error corresponding to each position.
Then, the data error corresponding to each position may be determined, for example, according to the magnitude relationship with a preset error threshold, and the demodulated data (0 or 1) corresponding to each position may be obtained according to the determination result. Then, the demodulated data corresponding to each position may be combined to obtain a final demodulated result corresponding to the subset of current sampling points.
Obtaining the demodulated data corresponding to each of the positions according to the data error corresponding to each of the positions may include:
if the data error corresponding to the current position is detected to be smaller than a preset error threshold value, determining that the demodulated data corresponding to the current position is a first preset value; and if the data error corresponding to the current position is detected to be larger than or equal to a preset error threshold value, determining that the demodulated data corresponding to the current position is a second preset value.
The first preset value may be a preset fixed value; correspondingly, the second preset value may be another preset fixed value; for example, the first preset value may be 0, and the second preset value may be 1.
In a specific example, if it is detected that a data error corresponding to the current position is smaller than a preset error threshold, which indicates that the data error is smaller, the current position may be determined to be 0; if the data error corresponding to the current position is detected to be greater than or equal to the preset error threshold value, which indicates that the data error is large, the current position may be determined to be 1.
Example two
Fig. 2 is a schematic structural diagram of a symbol synchronization apparatus for caller id according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes: a candidate symbol synchronization point acquisition module 210, a demodulation result acquisition module 220, and a target symbol synchronization point acquisition module 230; wherein, the first and the second end of the pipe are connected with each other,
a candidate symbol synchronization point obtaining module 210, configured to determine, when it is detected that a calling number identification signal is successfully captured, a capture sampling point of the calling number identification signal as an initial symbol synchronization point, and obtain a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization point;
a demodulation result obtaining module 220, configured to obtain a sampling point set corresponding to each candidate symbol synchronization point, and perform joint demodulation on the sampling point sets corresponding to each candidate symbol synchronization point based on a preset number of sampling points to obtain a demodulation result corresponding to each candidate symbol synchronization point;
a target symbol synchronization point obtaining module 230, configured to obtain a prediction variance corresponding to each candidate symbol synchronization point according to a demodulation result corresponding to each candidate symbol synchronization point, and obtain a target symbol synchronization point corresponding to a minimum prediction variance according to the prediction variance corresponding to each candidate symbol synchronization point.
According to the technical scheme of the embodiment of the invention, when the calling number identification signal is detected to be successfully captured, the capturing sampling point of the calling number identification signal is determined as the initial symbol synchronization point, and the candidate symbol synchronization points with the first preset number corresponding to the initial symbol synchronization point are obtained; then, acquiring a sampling point set corresponding to each candidate symbol synchronization point, and performing joint demodulation on the sampling point set corresponding to each candidate symbol synchronization point based on the number of preset sampling points to acquire a demodulation result corresponding to each candidate symbol synchronization point; furthermore, according to the demodulation result corresponding to each candidate symbol synchronization point, the prediction variance corresponding to each candidate symbol synchronization point is obtained, and according to the prediction variance corresponding to each candidate symbol synchronization point, the target symbol synchronization point corresponding to the minimum prediction variance is obtained, a plurality of candidate symbol synchronization points are obtained by taking the capture sampling point of the calling number identification signal as the starting point, the prediction variance corresponding to each candidate symbol synchronization point is respectively calculated, and then the target symbol synchronization point corresponding to the minimum prediction variance is obtained by screening in each candidate symbol synchronization point, so that the accuracy and robustness of the symbol synchronization identified by the calling number can be improved.
Optionally, the candidate symbol synchronization point obtaining module 210 includes:
the sampling point acquisition unit is used for acquiring a second preset number of left sampling points and a second preset number of right sampling points corresponding to the initial symbol synchronization point;
and the candidate symbol synchronization point acquisition unit is used for acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization points according to the initial symbol synchronization points, the second preset number of left sampling points and the second preset number of right sampling points.
Optionally, the demodulation result obtaining module 220 is specifically configured to obtain a third preset number of sampling points by using each candidate symbol synchronization point as a starting point, and obtain a set of sampling points corresponding to each candidate symbol synchronization point according to the third preset number of sampling points.
Optionally, the demodulation result obtaining module 220 includes:
a sampling point subset obtaining unit, configured to divide a sampling point set corresponding to each candidate symbol synchronization point based on the number of preset sampling points, and obtain at least one sampling point subset corresponding to each candidate symbol synchronization point;
and the demodulation result acquisition unit is used for sequentially demodulating the subsets of the sampling points corresponding to the candidate symbol synchronization points to acquire the demodulation results corresponding to the candidate symbol synchronization points.
Optionally, the demodulation result obtaining unit includes:
the intermediate prediction result acquisition subunit is used for inputting each sampling point subset corresponding to the current candidate symbol synchronization point into a pre-established prediction model and acquiring an intermediate prediction result output by the prediction model and corresponding to the current candidate symbol synchronization point;
and the demodulation result acquisition subunit is used for acquiring a theoretical transmission signal, comparing and analyzing the intermediate prediction result corresponding to the current candidate symbol synchronization point with the theoretical transmission signal, and acquiring the demodulation result corresponding to the current candidate symbol synchronization point according to the comparison and analysis result.
Optionally, the demodulation result obtaining subunit is specifically configured to compare data at each position in the intermediate prediction result with data at the same position in the theoretical transmission signal, and obtain a data error corresponding to each position;
and acquiring demodulation data corresponding to each position according to the data error corresponding to each position, and acquiring a demodulation result corresponding to the current candidate symbol synchronization point according to the demodulation data corresponding to each position.
Optionally, the demodulation result obtaining subunit is specifically configured to determine that the demodulated data corresponding to the current position is a first preset value if it is detected that the data error corresponding to the current position is smaller than a preset error threshold; and
and if the data error corresponding to the current position is detected to be greater than or equal to a preset error threshold value, determining that the demodulated data corresponding to the current position is a second preset value.
The symbol synchronization device for calling number identification provided by the embodiment of the invention can execute the symbol synchronization method for calling number identification provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the technical solution of the present embodiment, the acquisition, storage, application, and the like of the personal information of the related user all conform to the regulations of the relevant laws and regulations, and do not violate the good custom of the public order.
EXAMPLE III
FIG. 3 illustrates a schematic diagram of an electronic device 30 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 30 includes at least one processor 31, and a memory communicatively connected to the at least one processor 31, such as a Read Only Memory (ROM) 32, a Random Access Memory (RAM) 33, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 31 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 32 or the computer program loaded from the storage unit 38 into the Random Access Memory (RAM) 33. In the RAM 33, various programs and data necessary for the operation of the electronic apparatus 30 can also be stored. The processor 31, the ROM 32, and the RAM 33 are connected to each other through a bus 34. An input/output (I/O) interface 35 is also connected to bus 34.
A plurality of components in the electronic device 30 are connected to the I/O interface 35, including: an input unit 36 such as a keyboard, a mouse, etc.; an output unit 37 such as various types of displays, speakers, and the like; a storage unit 38 such as a magnetic disk, optical disk, or the like; and a communication unit 39 such as a network card, modem, wireless communication transceiver, etc. The communication unit 39 allows the electronic device 30 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 31 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 31 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 31 performs the various methods and processes described above, such as a symbol synchronization method for calling number identification.
In some embodiments, the symbol synchronization method of calling number identification may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 38. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 30 via the ROM 32 and/or the communication unit 39. When the computer program is loaded into the RAM 33 and executed by the processor 31, one or more steps of the above described method of symbol synchronization for calling number identification may be performed. Alternatively, in other embodiments, the processor 31 may be configured by any other suitable means (e.g., by means of firmware) to perform a symbol synchronization method of calling number identification.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for symbol synchronization for caller identification, comprising:
when the calling number identification signal is detected to be successfully captured, determining capture sampling points of the calling number identification signal as initial symbol synchronization points, and acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization points;
acquiring a sampling point set corresponding to each candidate symbol synchronization point, and performing joint demodulation on the sampling point set corresponding to each candidate symbol synchronization point based on the number of preset sampling points to acquire a demodulation result corresponding to each candidate symbol synchronization point;
and acquiring a prediction variance corresponding to each candidate symbol synchronization point according to a demodulation result corresponding to each candidate symbol synchronization point, and acquiring a target symbol synchronization point corresponding to the minimum prediction variance according to the prediction variance corresponding to each candidate symbol synchronization point.
2. The method of claim 1, wherein obtaining a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization point comprises:
acquiring a second preset number of left sampling points and a second preset number of right sampling points corresponding to the initial symbol synchronization point;
and acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization points according to the initial symbol synchronization points, the second preset number of left sampling points and the second preset number of right sampling points.
3. The method of claim 1, wherein obtaining a set of sampling points corresponding to each of the candidate symbol synchronization points comprises:
and taking each candidate symbol synchronization point as a starting point, acquiring a third preset number of sampling points, and acquiring a sampling point set corresponding to each candidate symbol synchronization point according to the third preset number of sampling points.
4. The method according to claim 1, wherein jointly demodulating the set of sampling points corresponding to each candidate symbol synchronization point based on a preset number of sampling points to obtain a demodulation result corresponding to each candidate symbol synchronization point comprises:
dividing sampling point sets corresponding to the candidate symbol synchronization points based on the number of the preset sampling points to obtain at least one sampling point subset corresponding to each candidate symbol synchronization point;
and demodulating the subset of each sampling point corresponding to each candidate symbol synchronization point in sequence to obtain a demodulation result corresponding to each candidate symbol synchronization point.
5. The method of claim 4, wherein sequentially demodulating subsets of sampling points corresponding to the candidate symbol synchronization points to obtain demodulation results corresponding to the candidate symbol synchronization points comprises:
inputting each sampling point subset corresponding to the current candidate symbol synchronization point into a pre-established prediction model, and obtaining an intermediate prediction result corresponding to the current candidate symbol synchronization point and output by the prediction model;
and acquiring a theoretical transmission signal, comparing and analyzing the intermediate prediction result corresponding to the current candidate symbol synchronization point with the theoretical transmission signal, and acquiring a demodulation result corresponding to the current candidate symbol synchronization point according to the comparison and analysis result.
6. The method according to claim 5, wherein comparing the intermediate prediction result corresponding to the current candidate symbol synchronization point with the theoretical transmission signal, and obtaining the demodulation result corresponding to the current candidate symbol synchronization point according to the comparison analysis result comprises:
comparing data of each position in the intermediate prediction result with data of the same position in the theoretical transmission signal to obtain a data error corresponding to each position;
and acquiring demodulation data corresponding to each position according to the data error corresponding to each position, and acquiring a demodulation result corresponding to the current candidate symbol synchronization point according to the demodulation data corresponding to each position.
7. The method of claim 6, wherein obtaining the demodulated data for each of the positions based on the data error for each of the positions comprises:
if the data error corresponding to the current position is detected to be smaller than a preset error threshold value, determining that the demodulated data corresponding to the current position is a first preset value; and
and if the data error corresponding to the current position is detected to be greater than or equal to a preset error threshold value, determining that the demodulated data corresponding to the current position is a second preset value.
8. A symbol synchronization apparatus for caller identification, comprising:
the candidate symbol synchronization point acquisition module is used for determining a capture sampling point of the calling number identification signal as an initial symbol synchronization point and acquiring a first preset number of candidate symbol synchronization points corresponding to the initial symbol synchronization point when the calling number identification signal is detected to be successfully captured;
a demodulation result acquisition module, configured to acquire a sampling point set corresponding to each candidate symbol synchronization point, and perform joint demodulation on the sampling point sets corresponding to each candidate symbol synchronization point based on a preset number of sampling points, so as to acquire a demodulation result corresponding to each candidate symbol synchronization point;
and the target symbol synchronization point acquisition module is used for acquiring the prediction variance corresponding to each candidate symbol synchronization point according to the demodulation result corresponding to each candidate symbol synchronization point and acquiring the target symbol synchronization point corresponding to the minimum prediction variance according to the prediction variance corresponding to each candidate symbol synchronization point.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of calling number recognized symbol synchronization of any of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the method for symbol synchronization for calling number identification of any one of claims 1-7 when executed.
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