CN114285717A

CN114285717A - Signal identification method and device

Info

Publication number: CN114285717A
Application number: CN202210202992.0A
Authority: CN
Inventors: 岳明章
Original assignee: New H3C Technologies Co Ltd
Current assignee: New H3C Technologies Co Ltd
Priority date: 2022-03-03
Filing date: 2022-03-03
Publication date: 2022-04-05
Anticipated expiration: 2042-03-03
Also published as: CN114285717B

Abstract

The specification discloses a method and a device for signal identification, wherein the method for signal identification comprises the following steps: receiving an orthogonal modulation signal sent by a transmitting terminal; demodulating the quadrature modulation signal to obtain a demodulated signal; determining a symbol corresponding to the orthogonal modulation signal as a symbol to be identified according to the demodulated signal and channel information corresponding to the demodulated signal; determining the deviation of the symbols and each reference symbol on the signal component, and obtaining the sequencing result of each reference symbol according to the deviation; and identifying the orthogonal modulation signal according to the sequencing result.

Description

Signal identification method and device

Technical Field

The present disclosure relates to the field of wireless communications, and in particular, to a method and an apparatus for signal identification.

Background

With the development of communication technology, Multiple-Input Multiple-Output (MIMO) technology is widely applied to the field of communication technology to increase the system capacity by increasing the number of antennas, thereby meeting the requirement of high-speed communication. Since multipath effects, frequency selectivity, inter-antenna interference, and the like cause certain interference to a received signal during communication transmission, signal identification needs to be performed on the received signal to accurately determine the received signal.

However, in the currently adopted orthogonal decomposition (QR) method, if the accuracy of signal identification is to be improved, and the system performance is to be improved, the computation complexity of the system needs to be increased, and thus, excessive system resources are occupied, and if the computation complexity of the system is to be reduced, the accuracy of signal identification needs to be correspondingly reduced, which inevitably reduces the signal quality of the received signal.

Therefore, how to ensure the accuracy of signal identification while reducing the system computation complexity and reducing the system resource occupation is an urgent problem to be solved.

Disclosure of Invention

The present specification provides a signal identification method and apparatus to partially solve the above problems in the prior art.

The technical scheme adopted by the specification is as follows:

the present specification provides a method of signal identification, comprising:

receiving an orthogonal modulation signal sent by a transmitting terminal;

demodulating the quadrature modulation signal to obtain a demodulated signal;

determining a symbol corresponding to the orthogonal modulation signal as a symbol to be identified according to the demodulated signal and channel information corresponding to the demodulated signal;

determining the deviation of the symbols and each reference symbol on the signal component, and obtaining the sequencing result of each reference symbol according to the deviation;

and identifying the orthogonal modulation signal according to the sequencing result.

Optionally, determining a deviation of the symbol from each reference symbol in the signal component specifically includes:

and determining the deviation of the symbols and each reference symbol on the signal component according to the symbols and the position of each reference symbol in a preset signal constellation diagram.

Optionally, if the quadrature modulation signal is a complex signal, for each reference symbol, the deviation of the reference symbol from the symbol in the signal component includes:

the reference symbol corresponds to a deviation between a real part of the complex signal and a real part of the demodulated signal, and the reference symbol corresponds to a deviation between an imaginary part of the complex signal and an imaginary part of the demodulated signal.

Optionally, obtaining a ranking result of each reference symbol according to the deviation specifically includes:

and for each reference symbol, inquiring a sorting result corresponding to the reference symbol from a preset sorting table according to the deviation of the reference symbol and the symbol on the signal component.

Optionally, identifying the quadrature modulation signal according to the sorting result specifically includes:

selecting a specified number of symbols from the reference symbols as candidate symbols according to the sorting result;

aiming at each candidate symbol, taking the probability that the signal corresponding to the candidate symbol and the demodulated signal are the same as the probability corresponding to the candidate symbol;

and identifying the orthogonal modulation signal according to the probability corresponding to each candidate symbol.

Optionally, the demodulated signal includes signals transmitted by at least two transmitting antennas;

determining a deviation of the symbols from each reference symbol in the signal component, specifically comprising:

selecting a signal transmitted by one transmitting antenna from signals transmitted by at least two transmitting antennas contained in the demodulated signal as a target signal;

determining a deviation in signal components of the target signal from the signal corresponding to each reference symbol;

according to the sorting result, selecting a specified number of symbols from the reference symbols as candidate symbols, which specifically comprises:

and selecting a specified number of symbols from the reference symbols according to the sorting result to serve as candidate symbols corresponding to the target signal.

Optionally, the method further comprises:

and if the probability corresponding to any candidate symbol is determined to be smaller than a preset probability threshold, selecting candidate symbols corresponding to other signals except the target signal in the demodulated signal from other symbols except the candidate symbols, and identifying the orthogonal modulation signal according to the candidate symbols corresponding to other signals.

The present specification provides an apparatus for signal recognition, comprising:

the receiving module is used for receiving the orthogonal modulation signal sent by the transmitting end;

the demodulation module is used for demodulating the orthogonal modulation signal to obtain a demodulated signal;

a determining module, configured to determine, according to the demodulated signal and channel information corresponding to the demodulated signal, a symbol corresponding to the orthogonal modulation signal as a symbol to be identified;

the sorting module is used for determining the deviation of the symbols and each reference symbol on the signal component and obtaining the sorting result of each reference symbol according to the deviation;

and the processing module is used for identifying the orthogonal modulation signal according to the sequencing result.

The present specification provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the above-described method of signal recognition.

The present specification provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above-mentioned signal identification method when executing the program.

The technical scheme adopted by the specification can achieve the following beneficial effects:

in the signal identification method provided in this specification, a received orthogonal modulation signal sent by a transmitting end is demodulated, a symbol corresponding to the orthogonal modulation signal is determined according to the demodulated orthogonal modulation signal and channel information corresponding to the signal, a sorting result of each reference signal is determined according to a deviation between a symbol corresponding to the orthogonal modulation signal and a reference symbol, an original signal actually sent by the transmitting end is determined according to the sorting result, and the original signal is subjected to signal identification.

It can be seen from the above method that, in this specification, the corresponding rank of each reference signal is determined according to the deviation of each reference symbol from the orthogonal modulation signal in the signal component, in other words, the deviation can be obtained only by simple subtraction operation, and the euclidean distance between each reference symbol and the estimated actual signal does not need to be calculated, so that the calculation complexity in the signal identification process is greatly reduced, and the processing accuracy of the signal identification is ensured.

Drawings

The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the specification and not to limit the specification in a non-limiting sense. In the drawings:

fig. 1 is a schematic flow chart of a method of signal identification provided herein;

FIG. 2 is a schematic representation of an ordering table provided herein;

FIG. 3 is a schematic diagram of a signal identification apparatus provided herein;

fig. 4 is a schematic diagram of an electronic device corresponding to fig. 1 provided in the present specification.

Detailed Description

In order to make the objects, technical solutions and advantages of the present disclosure more clear, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort belong to the protection scope of the present specification.

The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of a signal identification method provided in this specification, including the following steps:

s101: and receiving the quadrature modulation signal sent by the transmitting terminal.

In the process of transmitting a communication signal, it is generally necessary to modulate the communication signal, for example, a transmitting end may modulate the communication signal into a high-frequency carrier such as a sine wave and a cosine wave by Quadrature Amplitude Modulation (QAM) so that the signal can be effectively transmitted, and a receiving end may receive the signal by a receiving device such as a signal receiver and then demodulate the signal to determine a demodulated signal.

Taking 16QAM as an example, a signal corresponds to 16 fixed sine waves and cosine waves in a modulation process, the 16 fixed sine waves and cosine waves correspond to 16 constellation points having fixed in-phase components and quadrature components in a signal constellation diagram, and the 16 constellation points correspond to the 16 reference symbols respectively.

In the signal transmission process, internal and external interferences such as multipath effect, frequency selectivity, inter-antenna interference and the like are often received, which may cause deviation of the received signal, so that the original signal actually transmitted by the transmitting end cannot be determined.

The receiving end can receive the quadrature modulation signal sent by the transmitting end through the receiving antenna.

It should be noted that the method for signal identification provided in the present specification can be applied to a process such as signal identification based on QR decomposition and maximum likelihood (QRM-maximum likelihood Detection, QRMMLD) of M algorithm.

In addition, the method for signal identification provided in this specification may also be applied to the field of 5th Generation Mobile Communication Technology (5G), for example, when a 5G transmitting end transmits a signal to a corresponding receiving end, the receiving end performs signal identification on the received 5G signal.

S102: and demodulating the orthogonal modulation signal to obtain a demodulated signal.

In this specification, the orthogonal modulation signal received by the receiving end may include signals transmitted by at least two transmitting antennas of the transmitting end, and after the signal transmitted by each transmitting antenna is demodulated, the demodulated signal corresponding to each transmitting antenna jointly constitutes an original signal received by the receiving end and transmitted by the transmitting end.

It should be noted that, when a transmitting end modulates a signal in one modulation format, a receiving end also demodulates the signal in the same modulation, in this specification, the modulation format used for signal modulation may include, but is not limited to, 16QAM, and may also include other modulation formats such as Quadrature Phase Shift Keying (QPSK), 8QAM, 64QAM, and the like, and for convenience of description, this specification only takes 16QAM as the modulation format for signal modulation as an example, and the signal identification method provided in this specification is described.

S103: and determining a symbol corresponding to the orthogonal modulation signal as a symbol to be identified according to the demodulated signal and the channel information corresponding to the demodulated signal.

The receiving end can combine the transmitting antenna of the signal transmitting end and the receiving antenna of the receiving end in pairs to determine all signal channels for signal transmission, each signal channel corresponds to corresponding channel information, and the channel information can represent the conversion relation between the orthogonal modulation signal received by the receiving end and the orthogonal modulation signal sent by the transmitting end.

Specifically, the receiving end may determine a channel matrix formed by each piece of channel information according to the channel information corresponding to each signal channel. In order to reduce the computational complexity of the system, the receiving end can convert the channel matrix into a unitary matrix and an upper triangular matrix through matrix decomposition, and the upper triangular matrix is used as a channel matrix for signal identification of a signal to be processed.

The conversion formula of the channel matrix may be:

wherein the content of the first and second substances,

a channel matrix formed of information of each channel,

is a unitary matrix obtained after matrix decomposition,

the matrix is an upper triangular matrix obtained after matrix decomposition, that is, a channel matrix used for signal identification of the quadrature modulation signal in this specification.

Accordingly, the calculation formula of the deviation of the symbol to be recognized from each reference symbol on the signal component can be as follows:

wherein the content of the first and second substances,

to demodulate the signal, then

For the deviation of the symbols corresponding to the quadrature modulated signal from each reference symbol in the signal component,

is the signal corresponding to the reference symbol.

In the transformed upper triangular matrix, the calculation formula of the deviation can be as follows:

wherein the content of the first and second substances,

after demodulation of the signal, then

The deviation of the symbol corresponding to the orthogonal modulation signal received after matrix conversion from each reference symbol in the signal component.

Specifically, in the process of calculating the deviation between the symbol to be identified and each reference symbol on the signal component, taking the example that the transmitting end is provided with two transmitting antennas and the receiving end is provided with two receiving antennas, four signal channels for signal transmission are formed between the receiving end and the transmitting end, and the channel information corresponding to each signal channel is substituted into the deviation calculation formula, then:

by developing the above formula, we can obtain:

wherein the content of the first and second substances,

、

、

channel information corresponding to each signal channel, respectively, due to the matrix

Is a transformed upper triangular matrix, so the signal channel parameters

The corresponding value in the matrix is 0,

and

respectively, the quadrature modulated signals received by the two receiving antennas are demodulated to obtain demodulated signals,

and

two signals corresponding to one reference symbol respectively.

In the signal transmission process, if the signal is transmitted without any internal or external interference, it can be considered that there is no deviation between the demodulated signal obtained by demodulating the received quadrature modulated signal by the receiving end and the original signal actually transmitted by the transmitting end, and if the original signal actually transmitted by the transmitting end exactly corresponds to a signal corresponding to a certain reference symbol, it should be satisfied that

The case (a) of (b), accordingly,

，

=0。

therefore, according to the formula, a symbol corresponding to the quadrature modulation signal transmitted by the transmitting terminal can be determined as a symbol to be identified. However, in practical applications, signals are necessarily interfered more or less during transmission, so that a certain deviation may occur between the symbol to be recognized determined by the formula and the reference symbol, and the receiving end cannot determine which reference symbol the symbol to be recognized should correspond to.

For the receiving end receiving the orthogonal modulation signal transmitted by one of the transmitting antennas, through the derivation of the formula, it can be determined that the symbol to be identified can be determined according to the following calculation formula:

wherein the content of the first and second substances,

for characterizing the corresponding symbol (i.e. the symbol to be identified) of the quadrature modulated signal,

and demodulating the received orthogonal modulation signal transmitted by one transmitting antenna for a receiving end to obtain a demodulated signal.

In this specification, the manner of determining the symbol corresponding to the orthogonal modulation signal transmitted by another transmitting antenna is the same as the above-mentioned manner, and this description will not be repeated.

S104: and determining the deviation of the symbols and each reference symbol on the signal component, and obtaining the sequencing result of each reference symbol according to the deviation.

The receiving end sets a signal constellation diagram in advance, determines the corresponding position of each reference symbol in the signal constellation diagram, and after the symbol corresponding to the orthogonal modulation signal is determined, the receiving end can determine the corresponding position of the symbol to be identified in the signal constellation diagram, and further determines the sequencing result of the reference symbol according to the deviation of the symbol to be identified and each reference symbol component in the signal constellation diagram.

Specifically, in the signal constellation, the horizontal axis of the signal constellation represents the in-phase component of the signal, the vertical axis represents the quadrature component of the signal, if the quadrature modulated signal is a complex signal, that is, the signal is represented in the form of a complex number, for each reference symbol in the signal constellation, the real part of the complex number represents the in-phase component of the reference symbol in the signal constellation, and the imaginary part represents the quadrature component of the reference symbol in the signal constellation, based on which, the deviation between the real part and the imaginary part corresponding to each reference symbol and the real part and the imaginary part corresponding to the symbol to be identified can be the deviation between the real part and the imaginary part corresponding to each reference symbol and the real part and the imaginary part corresponding to the symbol to be identified.

The deviation calculation formula between the real part corresponding to the symbol to be identified and the real part corresponding to each reference symbol may be:

wherein the content of the first and second substances,

for the deviation between the real part corresponding to the symbol to be recognized and the real part corresponding to each reference symbol,

when the real part corresponding to the kth reference signal is modulated by 16QAM, the value of k may be 1,2, 3, and 4, which means that the real part corresponding to the reference symbol has 4 values in total.

The deviation calculation formula between the imaginary part corresponding to the symbol to be identified and the imaginary part corresponding to each reference symbol may be:

wherein the content of the first and second substances,

for the deviation between the imaginary part corresponding to the symbol to be identified and the imaginary part corresponding to each reference symbol,

correspondingly, when 16QAM is used for modulation, the value of k may be 1,2, 3, 4, which means that 4 values are provided for the imaginary part corresponding to the reference symbol, and 16 combinations are provided for the values of the real part and the imaginary part of the reference symbol, and these 16 combinations also correspond to 16 reference symbols respectively.

After determining the deviation between the real part and the imaginary part corresponding to each reference symbol and the real part and the imaginary part corresponding to the symbol to be identified, the receiving end may determine the ordering result corresponding to the deviation of each reference symbol. Specifically, the receiving end may preset a sorting table according to the deviation between the real part and the imaginary part corresponding to each reference symbol and the real part and the imaginary part corresponding to the symbol to be identified, and according to the order of the whole magnitude of the deviation, as shown in fig. 2.

Fig. 2 is a schematic diagram of an ordering table provided in the present specification.

Wherein r denotes a deviation of a real part between the reference symbol and the symbol to be recognized, i denotes a deviation of an imaginary part between the reference symbol and the symbol to be recognized, and the different deviations are sorted in the sorting table according to the overall magnitude of the real part and the imaginary part (e.g., the sum of the squares of the real part difference value and the imaginary part difference value). It should be noted that two deviations with the same magnitude of the whole real part and the whole imaginary part, such as (1, 2) and (2, 1), may occur in the sorting table, and then the receiving end may arrange the two deviations at adjacent positions.

The receiving end can query the sorting result corresponding to each reference symbol in the sorting table according to the deviation of each reference symbol and the symbol to be identified on the real part and the imaginary part.

S105: and identifying the orthogonal modulation signal according to the sequencing result.

After obtaining the ranking result corresponding to each reference symbol, the receiving end may select a specified number of symbols from each reference symbol according to the ranking result, as candidate symbols, for example, select a specified number of symbols as candidate symbols according to a sequence of a deviation from small to large, where the specified number may be set according to an actual situation, and this is not specifically limited in this specification.

Then, the probability that the signal corresponding to each candidate symbol and the demodulated signal are the same signal can be calculated, and the original signal actually sent by the transmitting terminal is determined according to the probability of each candidate symbol.

For example, the receiving end may determine, by means of maximum Likelihood Ratio (LLR) calculation, a probability that a signal corresponding to each candidate symbol and a demodulated signal are the same signal according to a deviation between the demodulated signal and a signal corresponding to a reference symbol, where a calculation formula of the probability may be:

wherein the content of the first and second substances,

the probability corresponding to each reference symbol is represented,

representing the deviation between the corresponding symbol of the demodulated signal and the reference symbol, B is the set of candidate symbols for the corresponding symbol of the demodulated signal,

a symbol set representing that the l-th bit of the reference symbol i takes a value of 0,

and a symbol set representing that the l-th bit of the reference symbol i takes a value of 1.

The receiving end may select a signal corresponding to a candidate symbol with the highest corresponding probability from the candidate symbols, and use the signal as an original signal actually sent by the transmitting end, so as to identify the orthogonally modulated signal.

In the signal transmission process, a communication signal is usually transmitted through a plurality of transmitting antennas, so that the receiving end receives the quadrature modulated signals transmitted by the plurality of transmitting antennas. The receiving end may select a signal transmitted by one transmitting antenna from the orthogonal modulation signals transmitted by the plurality of transmitting antennas as a target signal, determine the target signal, and further determine a deviation between a symbol corresponding to the target signal and each reference symbol on a signal component according to the deviation.

Then, the receiving end can determine the sequence corresponding to each reference symbol in a preset sequence table according to the deviation corresponding to each reference symbol, and further select a specified number of reference symbols as candidate symbols according to the sequence result corresponding to each reference symbol so as to determine the original signal actually sent by the transmitting end.

In addition, if the probabilities corresponding to each of the determined candidate symbols are all smaller than the preset probability threshold, this indicates that the optimal candidate symbol may not be included in the candidate symbols, so that the receiving end may calculate deviations between other symbols except the candidate symbols and other signals except the target signal, and if it is determined that there are deviations corresponding to some other symbols smaller than the minimum deviation between the previously selected candidate symbol and the target signal, it indicates that the optimal candidate symbol may be included in the other symbols, so that at this time, the ranking corresponding to the other symbols except the candidate symbol may be determined according to the recalculated deviations, and then the original signals corresponding to the orthogonal modulation signals are determined in the other signals in the same manner, thereby identifying the orthogonal modulation signals. The preset probability threshold may be set according to an actual situation, which is not specifically limited in this specification.

For example, in the deviation calculation formula mentioned in S101, for the target signal

Determining the target signal

There are M candidate symbols, and if the maximum probability among the M candidate symbols is also smaller than the preset threshold, another 16-M symbols and may be calculated

If the calculated difference corresponding to partial symbol exists in the 16-M symbols, the difference is smaller than the M candidate symbols and

the minimum difference between them, then the difference of these 16-M symbols can be used for repeatingAnd performing new sequencing and performing signal identification on the orthogonal modulation signals according to the sequencing result of the re-sequencing.

It can be seen from the above method that, in this specification, the rank of each reference symbol may be queried in a ranking table according to the deviation of the real part and the imaginary part between the reference symbol and the signal to be identified, and then according to the ranking result of the reference symbols, a specified number of candidate symbols are selected, and the original signal transmitted by the transmitting end is determined by calculating the probability that the signal corresponding to each candidate symbol and the demodulated signal are the same signal, thereby performing signal identification on the received orthogonal modulation signal.

When calculating the deviation between the symbol to be identified corresponding to the quadrature modulation signal and each reference symbol on the signal component, the calculation formula may be:

wherein the content of the first and second substances,

in order to demodulate the post-demodulation signal,

and for the total number of the transmitting antennas, i is used for representing the ith receiving antenna of the receiving end, j is used for representing the jth transmitting antenna of the transmitting end, and x is a signal corresponding to the reference symbol.

The prior art usually needs to calculate the euclidean distance between each reference symbol and the symbol to be recognized, and the calculation of the euclidean distance involves the calculation of the square of a complex number, so that the calculation needs 2 real multiplications

Due to

Need to be respectively associated with a plurality of

Since the real part is multiplied by the imaginary part, 2 real multiplications and calculations are required

All need together

A second real multiplication, so that when calculating the deviation between the symbol to be recognized and a reference symbol, it is common to calculate

A second real multiplication, and further, when determining the deviation between all the reference symbols and the symbol to be identified, the required real multiplication number is

The second real multiplication. Wherein C is the total number of reference symbols,

is the determined number of candidate symbols.

In the solution described in this specification, the euclidean distance does not need to be calculated, and the sorting result can be obtained only according to the deviation between each reference symbol and the symbol to be recognized in the signal component, so that when calculating the deviation between any one reference symbol and the symbol to be recognized, only the calculation needs to be performed

A second real multiplication, wherein the required real multiplication times are the corresponding real multiplication times when the deviation between all the reference symbols and the symbols to be identified is determined

The second real multiplication. It can be seen from this point that, by the signal identification method provided in this specification, the system computation complexity can be effectively reduced, the system resource occupation can be reduced, and the accuracy of signal identification can be ensured.

Based on the same idea, the present specification also provides a corresponding signal recognition apparatus, as shown in fig. 3.

Fig. 3 is a schematic diagram of a signal identification apparatus provided in the present specification, including:

a receiving module 301, configured to receive an orthogonal modulation signal sent by a transmitting end;

a demodulation module 302, configured to demodulate the quadrature modulation signal to obtain a demodulated signal;

a determining module 303, configured to determine, according to the demodulated signal and channel information corresponding to the demodulated signal, a symbol corresponding to the orthogonal modulation signal, where the symbol is used as a symbol to be identified;

a sorting module 304, configured to determine a deviation between the symbol and each reference symbol on a signal component, and obtain a sorting result of each reference symbol according to the deviation;

a processing module 305, configured to identify the orthogonal modulation signal according to the sorting result.

Optionally, the sorting module 304 is specifically configured to determine, according to the symbol and the position of each reference symbol in a preset signal constellation, a deviation of the symbol from each reference symbol in a signal component.

Optionally, the sorting module 304 is specifically configured to, the reference symbol corresponds to a deviation between a real part of the complex signal and a real part of the demodulated signal, and the reference symbol corresponds to a deviation between an imaginary part of the complex signal and an imaginary part of the demodulated signal.

Optionally, the sorting module 304 is specifically configured to, for each reference symbol, query a sorting result corresponding to the reference symbol from a preset sorting table according to a deviation between the reference symbol and the symbol on the signal component.

Optionally, the processing module 305 is specifically configured to select a specified number of symbols from each reference symbol as candidate symbols according to the sorting result; aiming at each candidate symbol, taking the probability that the signal corresponding to the candidate symbol and the demodulated signal are the same as the probability corresponding to the candidate symbol; and identifying the orthogonal modulation signal according to the probability corresponding to each candidate symbol.

the sorting module 304 is specifically configured to select a signal transmitted by one transmitting antenna from signals transmitted by at least two transmitting antennas included in the demodulated signal, and use the signal as a target signal; determining a deviation in signal components of the target signal from the signal corresponding to each reference symbol;

the processing module 305 is specifically configured to select a specified number of symbols from each reference symbol according to the sorting result, and use the selected symbols as candidate symbols corresponding to the target signal.

Optionally, the processing module 305 is further configured to, if it is determined that the probabilities corresponding to any candidate symbols are smaller than a preset probability threshold, select, from other symbols except for the candidate symbols, candidate symbols corresponding to other signals except for the target signal in the demodulated signal, and identify the orthogonal modulation signal according to the candidate symbols corresponding to the other signals.

The present specification also provides a computer readable storage medium having stored thereon a computer program operable to perform a method of signal identification as provided above with respect to fig. 1.

This specification also provides a schematic block diagram of an electronic device corresponding to that of figure 1, shown in figure 4. As shown in fig. 4, at the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, and may also include hardware required for other services. The processor reads a corresponding computer program from the non-volatile memory into the memory and then runs the computer program to implement the signal identification method described in fig. 1. Of course, besides the software implementation, the present specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may be hardware or logic devices.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.

Claims

1. A method of signal identification, comprising:

receiving an orthogonal modulation signal sent by a transmitting terminal;

demodulating the quadrature modulation signal to obtain a demodulated signal;

2. The method of claim 1, wherein determining the deviation of the symbols from each reference symbol in the signal component comprises:

3. The method of claim 2, wherein if the quadrature modulated signal is a complex signal, for each reference symbol, the deviation of the reference symbol from the symbol in the signal component comprises:

4. The method according to claim 2 or 3, wherein obtaining the ranking result of each reference symbol according to the deviation comprises:

5. The method of claim 1, wherein identifying the quadrature modulated signal according to the ordering result comprises:

6. The method of claim 5, wherein the demodulated signal comprises signals transmitted from at least two transmit antennas;

7. The method of claim 6, wherein the method further comprises:

8. An apparatus for signal identification, comprising:

9. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1 to 7.

10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1 to 7 when executing the program.