CN117560260B - Channel modulation mode detection method and device - Google Patents
Channel modulation mode detection method and device Download PDFInfo
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Abstract
The application provides a channel modulation mode detection method and device. The method comprises the following steps: dividing the modulation data to be detected into a first modulation array of a first number according to a first modulation mode, wherein the first number is determined according to the first modulation mode; obtaining the sum of squares of the distances of two adjacent elements in each first modulation array; acquiring a sequence square sum of elements of modulated data to be detected; acquiring a first modulation mode characteristic value according to the sum of squares of the distance sum and the sequence sum of squares; judging whether the modulation data to be detected is modulated according to the first modulation mode or not according to the first modulation mode characteristic value and a preset first threshold value. The technical scheme of the embodiment of the application can improve the efficiency of the detection process of the channel modulation mode.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for detecting a channel modulation mode.
Background
There are various modulation schemes related to dedicated channels in the standards such as WCDMA (Wideband Code Division Multiple Access ), LTE (Long Term Evolution, long term evolution) and NR (New Radio, new air interface) set by 3GPP (3 rd Generation Partnership Project, third generation partnership project). In the signal detection processing process, the modulation mode of the channel to be detected needs to be detected according to the existing information.
The existing channel modulation mode detection technology generally carries out statistics of an energy histogram on the balanced signal, and judges the number of points where the actual observation constellation points fall in each domain according to the characteristics of the domain where the peak value of the standard energy distribution histogram of each modulation mode is located, thereby judging the modulation mode.
The detection method has complicated steps, so that the detection process efficiency of the modulation mode is lower.
Disclosure of Invention
In view of this, the embodiments of the present application provide a method and apparatus for detecting a channel modulation mode, so as to solve the technical problem in the prior art that the efficiency of the detection process of the modulation mode is low.
In a first aspect of an embodiment of the present application, a method for detecting a channel modulation mode is provided, where the method includes: dividing the modulation data to be detected into a first modulation array of a first number according to a first modulation mode, wherein the first number is determined according to the first modulation mode; obtaining the sum of squares of the distances of two adjacent elements in each first modulation array; acquiring a sequence square sum of elements of modulated data to be detected; acquiring a first modulation mode characteristic value according to the sum of squares of the distance sum and the sequence sum of squares; judging whether the modulation data to be detected is modulated according to the first modulation mode or not according to the first modulation mode characteristic value and a preset first threshold value.
In a second aspect of the embodiments of the present application, a channel modulation mode detection apparatus is provided, where the apparatus includes: the division module is used for dividing the modulation data to be detected into a first modulation array of a first number according to a first modulation mode, wherein the first number is determined according to the first modulation mode; the first acquisition module is used for acquiring the sum of squares of the distances of two adjacent elements in each first modulation array; the second acquisition module is used for acquiring the sequence square sum of the elements of the modulated data to be detected; the third acquisition module is used for acquiring the characteristic value of the first modulation mode according to the sum of squares of the distance and the sum of squares of the sequence; the judging module is used for judging whether the modulation data to be detected are modulated according to the first modulation mode characteristic value and a preset first threshold value.
In a third aspect of the embodiments of the present application, there is provided an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present application, there is provided a readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above method.
Compared with the prior art, the embodiment of the application has the beneficial effects that: according to the technical scheme, the to-be-detected modulation data are grouped, the characteristic value of the to-be-detected modulation data is obtained according to the square sum before grouping and the square sum of the distances between the elements after grouping, and the modulation mode is detected according to the characteristic value, so that the method is simple and easy to implement, and the detection efficiency of the channel modulation mode can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for detecting a channel modulation mode according to an embodiment of the present application;
fig. 2 is a flow chart of another channel modulation method detection method provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of a channel modulation mode detection device provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The technical scheme of the invention can be applied to detection of any one of a BPSK (Binary Phase Shift Keying ), quadrature phase shift keying (Quadrature Phase Shift Keying, abbreviated as QPSK) modulation mode, a 16QAM modulation mode which is quadrature amplitude modulation (Quadrature Amplitude Modulation, abbreviated as QAM) comprising 16 symbols, a 64QAM modulation mode which is QAM comprising 64 symbols or a 256QAM modulation mode which is QAM comprising 256 symbols.
The following describes in detail a channel modulation scheme according to an embodiment of the present application with reference to the accompanying drawings.
Fig. 1 is a diagram of a channel modulation method according to an embodiment of the present application. The method provided by the embodiment of the application can be executed by any electronic device with computer processing capability, such as a terminal or a server. As shown in fig. 1, the channel modulation scheme detection method includes:
step S101, dividing the modulation data to be detected into a first modulation array of a first number according to a first modulation mode, wherein the first number is determined according to the first modulation mode.
Specifically, when the modulated data to be detected is divided into a first number of first modulation arrays according to a first modulation mode, the modulated data to be detected can be hard-decided to the corresponding constellation points according to the vector characteristics of the modulated data to be detected. The number of constellation points is determined by the modulation mode, and the first number is the number of constellation points. After the division of the modulation data to be detected is completed, the modulation data to be detected in each first modulation array belongs to the same constellation point.
Step S102, obtaining the sum of squares of the distances of two adjacent elements in each first modulation array.
Specifically, the adjacent two elements refer to consecutive two elements of the modulated data sequence of modulated data to be detected, which are arranged in time series.
Step S103, obtaining the sum of squares of sequences of elements of the modulated data to be detected.
Specifically, the sum of squares of the sequences is the sum of squares of the elements of the modulated data sequence of the modulated data to be detected.
And step S104, acquiring a first modulation mode characteristic value according to the sum of squares of the distance and the sum of squares of the sequence.
Specifically, the first modulation mode characteristic value may be obtained according to a sum value of distance square sums and a sequence square sum corresponding to each first modulation array.
Step S105, judging whether the modulation data to be detected is modulated according to the first modulation mode characteristic value and a preset first threshold value.
Specifically, the first threshold is set based on empirical data. Judging whether the modulated data to be detected is modulated according to the first modulation mode or not according to the first modulation mode characteristic value and a preset first threshold value, if the first modulation mode characteristic value is larger than the first threshold value, modulating the modulated data to be detected according to the first modulation mode, and if the first modulation mode characteristic value is smaller than or equal to the first threshold value, not modulating the modulated data to be detected according to the first modulation mode.
Before step S101, before dividing the modulated data to be detected into a first number of first modulation arrays according to the first modulation mode, channel estimation and channel equalization processing may also be performed on the modulated data to be detected.
Channel estimation refers to estimating the characteristics of a channel, and the existing method is blind channel estimation and pilot-based channel estimation, and generally has higher accuracy of pilot-based channel estimation, so that the method is applied to actual engineering scenes; after the channel estimation is obtained, a proper information transmission mode can be selected, so that the influence of the channel in the signal transmission process is reduced to a certain extent. Channel equalization generally refers to signal recovery at a receiving end, and also has blind equalization and equalization based on a training sequence, wherein the blind equalization has important significance because the blind equalization does not need the training sequence, saves bandwidth and can not send the training sequence in certain scenes; the equalization algorithm actually processes the received signal so that the signal is easily distinguishable.
The data amplitude and phase of the modulated data to be detected which are subjected to channel estimation and channel equalization are subjected to normalization processing, so that hard decision of the modulated data to be detected can be conveniently carried out.
In the related art, taking a QAM modulation mode as an example, a signal is divided into two paths, one path is i, the other path is q, and the two paths of signals are orthogonal. The amplitude of any one i and the amplitude of any one q are combined to map a corresponding constellation point on the polar graph, so that each constellation point represents a mapping, and various possible data state combinations of i and q are finally mapped on the constellation graph. Each constellation point corresponds to an analog signal of a certain amplitude and phase.
And hard judging the modulated data to be detected to the corresponding constellation points according to the vector characteristics of the modulated data to be detected, namely judging the modulated data to be detected to the corresponding constellation points according to the vector characteristics and the Hamming distance of the modulated data to be detected. The hard decision process is a process of calculating a hamming distance, and classifying the modulated data to be detected according to the hamming distance, wherein the hamming distance is the sum of absolute values of an abscissa and an ordinate of the modulated data to be detected.
The first modulation method may be any of the following: binary phase shift keying, quadrature amplitude modulation comprising 16 symbols, quadrature amplitude modulation comprising 64 symbols, and quadrature amplitude modulation comprising 256 symbols.
When the first modulation scheme is binary phase shift keying, the first number is 2. When the first modulation scheme is quadrature phase shift keying, the first number is 4. When the first modulation scheme is quadrature amplitude modulation including 16 symbols, the first number is 16. When the first modulation scheme is quadrature amplitude modulation including 64 symbols, the first number is 64. When the first modulation scheme is quadrature amplitude modulation including 256 kinds of symbols, the first number is 256.
Further, the first modulation scheme is not limited to the above, and for example, it may be a quadrature amplitude modulation including 32 symbols and a quadrature amplitude modulation including 128 symbols.
In practical applications, several kinds of possible modulation schemes of a channel are often known, and when detecting a modulation scheme, only one kind needs to be determined among the several kinds of modulation schemes. Therefore, the technical schemes of step S101 to step S105 can be applied, and the channel modulation scheme can be detected according to the type of the modulation scheme known to the signal. Specifically, step S101 to step S105 may be applied to the first modulation scheme to determine whether the modulation scheme of the channel is the first modulation scheme, and if not, step S101 to step S105 may be applied to the second modulation scheme to determine whether the modulation scheme of the channel is the second modulation scheme. And so on until the modulation scheme of the channel is determined to be a certain modulation scheme.
The following modulation modes of a certain channel may be: the technical scheme of the present application is described in detail by taking any one of binary phase shift keying, quadrature amplitude modulation including 16 symbols, quadrature amplitude modulation including 64 symbols, and quadrature amplitude modulation including 256 symbols as an example. The modulation scheme may be only one of binary phase shift keying, quadrature amplitude modulation including 16 symbols, quadrature amplitude modulation including 64 symbols, and quadrature amplitude modulation including 256 symbols. In this case, if the modulation scheme of the channel is not the first four, it is necessarily the fifth modulation scheme, and therefore, in the entire detection process of the modulation scheme, at most, there are four judgment cycles including steps S101 to S105, and after the fourth cycle is completed, if the modulation scheme of the channel is not the fourth modulation scheme, it is possible to directly determine that the modulation scheme of the channel is the fifth modulation scheme. The following is detailed:
for a modulated data sequence X (1, N) to be detected, the data X (1, N) is divided into 2 groups of modulation arrays X0 (1, J), X1 (1, K) according to a BPSK modulation scheme, the sum of the squares of distances of the consecutive 2 elements in the 2 groups of vectors u64ReImEng0 is calculated, the sum of the squares of the sequences u64ReImEng4 of the sequence X (1, N) is calculated, and a characteristic value u64Factor 1=u 64ReImEng4/u64ReImEng0 is obtained. Comparing u64Factor1 with threshold TH1, if u64Factor1> TH1, judging that the detected data is BPSK modulation, otherwise, continuing to detect the modulation mode of the next stage.
Dividing data X (1, N) into 4 groups of modulation arrays X0 (1, J), X1 (1, K), X2 (1, O), X3 (1, P), respectively calculating X0 (1, J), X1 (1, K), X2 (1, 2), O), X3 (1, P), calculating a sum of squares of distances of 2 elements in the 4 groups of vectors u64 reimmeng 0, calculating a sequence square sum u64 reimmeng 4 of the sequence X (1, N), obtaining a characteristic value u64Factor 2=u64 reimmeng 4/u64 reimmeng 0, comparing u64Factor2 with a threshold TH2, if u64Factor2> TH2, judging that the detection data is QPSK modulation, otherwise, continuing to perform the next modulation detection.
Data X (1, the..once., N) are divided into 16 modulation arrays X0, X1, X2, X3, … …, X16 according to a 16QAM modulation scheme, a sum u64ReImEng0 of a sum of squares of distances of 2 consecutive elements in the 16 sets of vectors X0, X1, X2, X3, … …, X16 is calculated, a sequence square sum u64ReImEng4 of a sequence X (1, the..once., N) is calculated, and a characteristic value u64Factor 3=u64 ReImEng4/u64ReImEng0 is obtained. Comparing u64Factor3 with threshold TH3, if u64Factor3> TH3, judging the detection data is 16QAM modulation, otherwise, continuing the modulation mode detection of the next stage.
Dividing data X (1, the first, N) into 64 groups of modulation arrays X0, X1, X2, X3, … …, X64 and Step4_2 according to a 64QAM modulation mode, respectively calculating sum values u64ReImEng0 of square sums of distances of 2 continuous elements in the 64 groups of vectors X0, X1, X2, X3, … … and X64, calculating sequence square sums u64ReImEng4 of a sequence X (1, the first, N), obtaining characteristic values u64 Factor4=u 64ReImEng4/u64ReImEng0, comparing u64Factor4 with a threshold TH4, judging that detected data are 64QAM modulation if u64Factor4> TH4, and judging that the detected data are 64QAM modulation modes otherwise.
In the above technical solution, any one judgment cycle may determine the modulation mode, instead of having to perform four judgment cycles. In the first determination cycle, the first modulation mode is a BPSK modulation mode, and the threshold TH1 is a first threshold. After step 105, if the determination result in step 105 is no, the to-be-detected modulation data is not modulated according to the first modulation mode, and whether the to-be-detected modulation data is modulated according to the second modulation mode may be determined according to the second modulation mode characteristic value and the preset second threshold value. The second modulation mode is the QPSK modulation mode in the second decision cycle, and the threshold TH2 is the threshold corresponding to the second modulation mode. If the modulation data to be detected is not modulated according to the second modulation mode, whether the modulation data to be detected is modulated according to the current modulation mode or not can be judged according to the characteristic value of the next modulation mode and the corresponding threshold value, until the modulation mode of the modulation data to be detected is detected to be the current modulation mode, or the modulation mode of the modulation data to be detected is determined to be the fifth modulation mode if the current modulation mode is not the first four modulation modes.
In the embodiment of the present application, the threshold TH1, the threshold TH2, the threshold TH3, and the threshold TH4 may be set according to empirical data.
In step S104, when the first modulation mode feature value is obtained according to the sum of squares of the distances and the sum of squares of the sequences, the sum of squares of the distances corresponding to each first modulation array may be obtained, and the first modulation mode feature value may be obtained according to the sum of the sums of the squares of the distances and the sum of squares of the sequences. Further, the first modulation scheme characteristic value may be obtained according to a quotient of the sum value and the sequence square sum. In the above scheme, the first modulation scheme characteristic value u64Factor 1=u64 reimmeng 4/u64 reimmeng 0 is obtained from the sum of the distance squares u64 reimmeng 0 and the sequence squares u64 reimmeng 4. The sum value u64ReImEng0 of the distance square sums is a sum value of distance square sums corresponding to each first modulation array, and the distance square sums of each first modulation array are square sums of two continuous elements in the first modulation array.
As shown in fig. 2, in the channel modulation scheme detection method according to an embodiment of the present application, the channel modulation scheme is one of four modulation schemes, and the channel modulation scheme detection method includes the following steps:
step S211, grouping the modulated data to be detected according to a first modulation mode to obtain grouping data, and acquiring a characteristic value of the first modulation mode according to the sum of the square sums of the distances of the grouping data and the square sum of the sequences of the debug data to be detected.
Step S212, judging whether the first modulation mode characteristic value is larger than a first threshold, if yes, executing step S213, otherwise, executing step S221.
Step S213, determining the modulation mode of the debug data to be detected as the first modulation mode.
Step S221, grouping the modulated data to be detected according to the second modulation mode to obtain grouping data, and obtaining a characteristic value of the second modulation mode according to the sum of the square sums of the distances of the grouping data and the square sum of the sequences of the debug data to be detected.
Step S222, determining whether the second modulation scheme characteristic value is greater than the second threshold, if yes, executing step S223, otherwise, executing step S231.
Step S223, determining the modulation mode of the debug data to be detected as the second modulation mode.
Step S231, grouping the modulated data to be detected according to a third modulation mode to obtain grouping data, and acquiring a characteristic value of the third modulation mode according to the sum of the square sums of the distances of the grouping data and the square sum of the sequences of the debug data to be detected.
Step S232, judging whether the characteristic value of the third modulation mode is larger than a third threshold, if so, executing step S233, otherwise, executing step S234.
Step S233, determining the modulation mode of the debug data to be detected as the third modulation mode.
In step S234, it is determined that the modulation mode of the debug data to be detected is the fourth modulation mode.
In the channel modulation mode detection method of the embodiment of the application, the to-be-detected modulation data are grouped, the characteristic value of the to-be-detected modulation data is obtained according to the square sum before grouping and the square sum of the distances between the elements after grouping, and the modulation mode is detected according to the characteristic value, so that the method is simple and easy to implement, and the detection efficiency of the channel modulation mode can be improved.
The following are device embodiments of the present application, which may be used to perform method embodiments of the present application. The channel modulation scheme detection apparatus described below and the channel modulation scheme detection method described above may be referred to correspondingly to each other. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.
Fig. 3 is a schematic diagram of a channel modulation mode detection apparatus provided in an embodiment of the present application. As shown in fig. 3, the channel modulation scheme detection apparatus includes:
the dividing module 301 is configured to divide the modulated data to be detected into a first number of first modulation arrays according to a first modulation mode, where the first number is determined according to the first modulation mode.
Specifically, when the modulated data to be detected is divided into a first number of first modulation arrays according to a first modulation mode, the modulated data to be detected can be hard-decided to the corresponding constellation points according to the vector characteristics of the modulated data to be detected. The number of constellation points is determined by the modulation mode, and the first number is the number of constellation points. After the division of the modulation data to be detected is completed, the modulation data to be detected in each first modulation array belongs to the same constellation point.
A first obtaining module 302, configured to obtain a sum of squares of distances between two adjacent elements in each first modulation array.
Specifically, the adjacent two elements refer to consecutive two elements of the modulated data sequence of modulated data to be detected, which are arranged in time series.
A second obtaining module 303, configured to obtain a sum of squares of sequences of elements of the modulated data to be detected.
Specifically, the sum of squares of the sequences is the sum of squares of the elements of the modulated data sequence of the modulated data to be detected.
The third obtaining module 304 is configured to obtain the first modulation mode feature value according to the sum of squares of the distance sum and the sequence sum of squares.
Specifically, the first modulation mode characteristic value may be obtained according to a sum value of distance square sums and a sequence square sum corresponding to each first modulation array.
The judging module 305 is configured to judge whether the modulated data to be detected is modulated according to the first modulation mode characteristic value and a preset first threshold value.
Specifically, the first threshold is set based on empirical data. Judging whether the modulated data to be detected is modulated according to the first modulation mode or not according to the first modulation mode characteristic value and a preset first threshold value, if the first modulation mode characteristic value is larger than the first threshold value, modulating the modulated data to be detected according to the first modulation mode, and if the first modulation mode characteristic value is smaller than or equal to the first threshold value, not modulating the modulated data to be detected according to the first modulation mode.
The channel modulation mode detection device can also comprise a preprocessing module, which is used for carrying out channel estimation and channel equalization processing on the modulated data to be detected.
Channel estimation refers to estimating the characteristics of a channel, and the existing method is blind channel estimation and pilot-based channel estimation, and generally has higher accuracy of pilot-based channel estimation, so that the method is applied to actual engineering scenes; after the channel estimation is obtained, a proper information transmission mode can be selected, so that the influence of the channel in the signal transmission process is reduced to a certain extent. Channel equalization generally refers to signal recovery at a receiving end, and also has blind equalization and equalization based on a training sequence, wherein the blind equalization has important significance because the blind equalization does not need the training sequence, saves bandwidth and can not send the training sequence in certain scenes; the equalization algorithm actually processes the received signal so that the signal is easily distinguishable.
The data amplitude and phase of the modulated data to be detected which are subjected to channel estimation and channel equalization are subjected to normalization processing, so that hard decision of the modulated data to be detected can be conveniently carried out.
The first modulation method may be any of the following: binary phase shift keying, quadrature amplitude modulation comprising 16 symbols, quadrature amplitude modulation comprising 64 symbols, and quadrature amplitude modulation comprising 256 symbols.
When the first modulation scheme is binary phase shift keying, the first number is 2. When the first modulation scheme is quadrature phase shift keying, the first number is 4. When the first modulation scheme is quadrature amplitude modulation including 16 symbols, the first number is 16. When the first modulation scheme is quadrature amplitude modulation including 64 symbols, the first number is 64. When the first modulation scheme is quadrature amplitude modulation including 256 kinds of symbols, the first number is 256.
Further, the first modulation scheme is not limited to the above, and for example, it may be a quadrature amplitude modulation including 32 symbols and a quadrature amplitude modulation including 128 symbols.
In practical applications, several kinds of possible modulation schemes of a channel are often known, and when detecting a modulation scheme, only one kind needs to be determined among the several kinds of modulation schemes. Therefore, the channel modulation scheme detection device can detect the channel modulation scheme according to the type of the modulation scheme known to the signal. Specifically, the channel modulation scheme detection device may be applied to the first modulation scheme to determine whether the modulation scheme of the channel is the first modulation scheme, and if not, the channel modulation scheme detection device may be applied to the second modulation scheme to determine whether the modulation scheme of the channel is the second modulation scheme. And so on until the modulation scheme of the channel is determined to be a certain modulation scheme.
If the judging result of the judging module is negative, the to-be-detected modulation data is not modulated according to the first modulation mode, and whether the to-be-detected modulation data is modulated according to the second modulation mode can be judged according to the characteristic value of the second modulation mode and a preset second threshold value. The second modulation mode is the QPSK modulation mode in the second decision cycle, and the threshold TH2 is the threshold corresponding to the second modulation mode. If the modulation data to be detected is not modulated according to the second modulation mode, whether the modulation data to be detected is modulated according to the current modulation mode or not can be judged according to the characteristic value of the next modulation mode and the corresponding threshold value, until the modulation mode of the modulation data to be detected is detected to be the current modulation mode, or the modulation mode of the modulation data to be detected is determined to be the fifth modulation mode if the current modulation mode is not the first four modulation modes.
The third obtaining module may obtain the distance square sums corresponding to each first modulation array when obtaining the first modulation mode feature values according to the distance square sums and the sequence square sums, and obtain the first modulation mode feature values according to the sum value of the distance square sums and the sequence square sums. Further, the first modulation scheme characteristic value may be obtained according to a quotient of the sum value and the sequence square sum.
Since each functional module of the channel modulation scheme detection apparatus according to the exemplary embodiment of the present application corresponds to a step of the foregoing exemplary embodiment of the channel modulation scheme detection method, for details not disclosed in the embodiments of the apparatus of the present application, please refer to the foregoing embodiments of the channel modulation scheme detection method of the present application.
According to the channel modulation mode detection device, the to-be-detected modulation data are grouped, the characteristic value of the to-be-detected modulation data is obtained according to the square sum before grouping and the square sum of the distances among the elements after grouping, and the modulation mode is detected according to the characteristic value, so that the method is simple and easy to implement, and the detection efficiency of the channel modulation mode can be improved.
Fig. 4 is a schematic diagram of an electronic device 4 provided in an embodiment of the present application. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps of the various method embodiments described above are implemented by processor 401 when executing computer program 403. Alternatively, the processor 401 may execute the computer program 403 to implement the functions of the modules in the above-described device embodiments.
The electronic device 4 may be a desktop computer, a notebook computer, a palm computer, a cloud server, or the like. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. It will be appreciated by those skilled in the art that fig. 4 is merely an example of the electronic device 4 and is not limiting of the electronic device 4 and may include more or fewer components than shown, or different components.
The processor 401 may be a central processing unit (Central Processing Unit, CPU) or other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like.
The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or a memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the electronic device 4. Memory 402 may also include both internal storage units and external storage devices of electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit.
The integrated modules may be stored in a readable storage medium if implemented in the form of software functional units and sold or used as a stand-alone product. Based on such understanding, the present application implements all or part of the flow in the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a readable storage medium, where the computer program may implement the steps of the method embodiments described above when executed by a processor. The computer program may comprise computer program code, which may be in source code form, object code form, executable file or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (8)
1. A method for detecting a channel modulation scheme, the method comprising:
dividing modulation data to be detected into a first modulation array of a first number according to a first modulation mode, wherein the first number is determined according to the first modulation mode;
obtaining the sum of squares of the distances of two adjacent elements in each first modulation array;
acquiring a sequence square sum of elements of the modulation data to be detected;
acquiring a first modulation mode characteristic value according to the distance square sum and the sequence square sum;
judging whether the modulation data to be detected are modulated according to a first modulation mode or not according to a first modulation mode characteristic value and a preset first threshold value;
the obtaining a first modulation mode characteristic value according to the distance square sum and the sequence square sum comprises the following steps:
obtaining the distance square sum corresponding to each first modulation array;
and obtaining a first modulation mode characteristic value according to the quotient of the sum value of the square sums of the distances and the square sum of the sequences.
2. The method of claim 1, wherein the first modulation scheme comprises any one of:
binary phase shift keying, quadrature amplitude modulation comprising 16 symbols, quadrature amplitude modulation comprising 64 symbols, and quadrature amplitude modulation comprising 256 symbols.
3. The method according to claim 1, wherein after determining whether the modulated data to be detected is modulated according to the first modulation scheme according to a first modulation scheme characteristic value and a preset first threshold value, the method further comprises:
if not, judging whether the modulation data to be detected is modulated according to the second modulation mode or not according to the second modulation mode characteristic value and a preset second threshold value.
4. The method of claim 1, wherein dividing the modulated data to be detected into a first number of first modulation arrays according to a first modulation scheme comprises: and judging the modulation data to be detected to the corresponding constellation point according to the vector characteristics and the Hamming distance of the modulation data to be detected.
5. The method of claim 1, wherein prior to dividing the modulated data to be detected into a first number of first modulation arrays according to the first modulation scheme, the method further comprises:
and carrying out channel estimation and channel equalization processing on the modulated data to be detected.
6. A channel modulation scheme detection apparatus, the apparatus comprising:
the division module is used for dividing the modulation data to be detected into a first modulation array with a first number according to a first modulation mode, wherein the first number is determined according to the first modulation mode;
the first acquisition module is used for acquiring the sum of squares of the distances of two adjacent elements in each first modulation array;
the second acquisition module is used for acquiring the sequence square sum of the elements of the modulation data to be detected;
the third acquisition module is used for acquiring a first modulation mode characteristic value according to the distance square sum and the sequence square sum;
the judging module is used for judging whether the modulation data to be detected are modulated according to the first modulation mode or not according to the first modulation mode characteristic value and a preset first threshold value;
wherein, the third acquisition module is further configured to:
obtaining the distance square sum corresponding to each first modulation array;
and obtaining a first modulation mode characteristic value according to the quotient of the sum value of the square sums of the distances and the square sum of the sequences.
7. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 5 when the computer program is executed.
8. A readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 5.
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