CN111131109B

CN111131109B - Signal identification method and device, computer equipment and storage medium

Info

Publication number: CN111131109B
Application number: CN201911419966.8A
Authority: CN
Inventors: 蒋颜辉; 张文; 谢彬华; 郭恩泽; 黄国庆
Original assignee: Comba Network Systems Co Ltd
Current assignee: Comba Network Systems Co Ltd
Priority date: 2019-12-31
Filing date: 2019-12-31
Publication date: 2022-08-23
Anticipated expiration: 2039-12-31
Also published as: CN111131109A

Abstract

The application relates to a signal identification method, a signal identification device, a computer device and a storage medium. The method comprises the following steps: respectively detecting the baseband signals through a plurality of preset different signal detection mechanisms to generate detection results corresponding to the signal detection mechanisms; different signal detection mechanisms are used for identifying baseband signals of different systems; generating a comprehensive judgment result according to each detection result; the comprehensive decision result is used for representing the signal category of the baseband signal. According to the signal identification method provided by the embodiment of the application, the detection results of the baseband signals corresponding to different signal detection mechanisms are collected, so that the identification range of the application for identifying different types of standard signals is widened, and the comprehensive detection result of the baseband signals is generated according to the detection results corresponding to the signal detection mechanisms, so that the identification accuracy of the signal types of the baseband signals can be improved, and the identification efficiency is also improved.

Description

Signal identification method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of signal processing technologies, and in particular, to a signal identification method and apparatus, a computer device, and a storage medium.

Background

With the rapid development of digital communication technology, the wireless communication environment tends to be increasingly complex, and communication signals adopt various standard signal transmission with different modulation parameters on a wide frequency band, so that the situation that various communication constitutions coexist is formed. And the modulation modes and access technologies of the communication constitutions are different, which brings great obstacles to the communication interconnection among the plurality of constitutions. The adaptive identification technology of standard signals can automatically identify the modulation mode of communication signals, is an important technical basis for forming a radio universal receiver and an intelligent modem, and has very important application in the aspects of multi-communication interconnection and wireless communication.

The traditional identification mode has huge structure, high complexity and very low working efficiency and intellectualization.

Disclosure of Invention

In view of the above, it is desirable to provide a signal identification method, an apparatus, a computer device, and a storage medium with low complexity and high efficiency.

In a first aspect, an embodiment of the present invention provides a signal identification method, where the method includes:

respectively detecting baseband signals through a plurality of preset different signal detection mechanisms to generate detection results corresponding to the signal detection mechanisms; the different signal detection mechanisms are used for identifying baseband signals of different systems;

generating a comprehensive judgment result according to each detection result; the integrated decision result is used to characterize a signal class of the baseband signal.

In one embodiment of the present application, the plurality of different signal detection mechanisms includes a GSM signal detection mechanism; the detection result corresponding to the GSM signal detection mechanism is a GSM signal judgment result; the method for detecting baseband signals through a plurality of preset different signal detection mechanisms respectively to generate detection results corresponding to the signal detection mechanisms comprises the following steps:

counting the peak power and the average power of the baseband signals;

generating a PAPR peak-to-average ratio value of the baseband signal according to the peak power and the average power;

and comparing the PAPR peak-to-average ratio with a preset peak-to-average ratio threshold, and generating the GSM signal judgment result according to the comparison result.

In an embodiment of the present application, the plurality of different signal detection mechanisms further includes an LTE and mixed-mode signal detection mechanism and/or an NB-IOT signal detection mechanism; the detection result corresponding to the LTE and mixed-mode signal detection mechanism is an LTE and mixed-mode signal judgment result; the detection result corresponding to the NB-IOT signal detection mechanism is an NB-IOT signal judgment result; the detecting the baseband signals by a plurality of preset different signal detecting mechanisms respectively to generate detecting results corresponding to the signal detecting mechanisms further comprises:

carrying out frequency shifting processing on the baseband signals according to the frequency point switching instruction; the frequency point switching instruction is generated according to the detection result corresponding to each signal detection mechanism;

performing extraction filtering on the baseband signal subjected to frequency shifting processing according to a preset sampling rate to obtain a baseband signal corresponding to the preset sampling rate;

filtering the baseband signal corresponding to the preset sampling rate to generate a filtered signal

And detecting the filtering signal through the LTE and mixed-mode signal detection mechanism and/or the NB-IOT signal detection mechanism, and generating the LTE and mixed-mode signal judgment result and/or the NB-IOT signal judgment result.

In an embodiment of the application, the detecting the filtered signal through the LTE and mixed-mode signal detection mechanism and generating the LTE and mixed-mode signal determination result includes:

extracting a PSS cell code in the filtering signal;

and comparing the PSS cell code with a preset standard cell code, and generating the LTE and mixed-mode signal judgment result according to the comparison result.

In an embodiment of the application, the detecting the filtered signal by the NB-IOT signal detection mechanism and generating the NB-IOT signal decision result includes:

counting the narrow-band peak power and the narrow-band mean power of the filtering signal;

generating a narrow-band PAPR peak-to-average ratio value of the filtering signal according to the narrow-band peak power and the narrow-band average power;

and comparing the narrow-band PAPR peak-to-average ratio with a preset narrow-band PAPR threshold, and generating the NB-IOT signal judgment result according to the comparison result.

In an embodiment of the application, the generating a comprehensive determination result according to each of the detection results includes:

if the GSM signal judgment result indicates that the baseband signal is a GSM signal, taking the GSM signal judgment result as the comprehensive judgment result;

if the GSM signal judgment result indicates that the baseband signal is not a GSM signal, generating a first control instruction; the first control instruction is used for generating a frequency point switching instruction carrying a first frequency point; and generating the comprehensive judgment result according to the first frequency point and the LTE and mixed mode signal judgment result.

In an embodiment of the application, the generating the comprehensive determination result according to the first frequency point and the LTE and mixed-mode signal determination result includes:

if the LTE and mixed-mode signal judgment result indicates that the baseband signal is one of an LTE signal or a mixed-mode signal and the current frequency point is the first frequency point, setting the comprehensive judgment result as that the baseband signal is an LTE signal;

if the LTE and mixed-mode signal judgment result indicates that the baseband signal is not any one of the LTE signal or the mixed-mode signal and the current frequency point is the first frequency point, generating a second control instruction; and the second control instruction is used for generating a frequency point switching instruction carrying a second frequency point, and generating the comprehensive judgment result according to the second frequency point and the LTE and mixed-mode signal judgment result.

In an embodiment of the present application, the generating the comprehensive determination result according to the second frequency point and the LTE and mixed-mode signal determination result includes:

if the LTE and mixed-mode signal judgment result indicates that the baseband signal is one of an LTE signal or a mixed-mode signal and the current frequency point is the second frequency point, setting the comprehensive judgment result as that the baseband signal is a mixed-mode signal;

if the LTE and mixed-mode signal judgment result indicates that the baseband signal is not any one of the LTE signal or the mixed-mode signal and the current frequency point is the second frequency point, generating a third control instruction; and the third control instruction is used for generating a frequency point switching instruction carrying a third frequency point, and generating the comprehensive judgment result according to the third frequency point and the NB-IOT signal judgment result.

In an embodiment of the present application, the generating the comprehensive determination result according to the third frequency point and the NB-IOT signal determination result includes:

and if the NB-IOT signal judgment result indicates that the baseband signal is an NB-IOT signal and the current frequency point is the third frequency point, setting the comprehensive judgment result as that the baseband signal is the NB-IOT signal.

In a second aspect, an embodiment of the present invention provides a signal identification apparatus, where the apparatus includes: a plurality of different system signal identification modules and a comprehensive judgment module; the plurality of different standard signal identification modules are respectively connected with the comprehensive judgment module;

the system comprises a plurality of system signal identification modules, a comprehensive judgment module and a control module, wherein the system signal identification modules are used for identifying baseband signals of different systems to generate detection results corresponding to the system signal identification modules and sending the detection results to the comprehensive judgment module;

the comprehensive judgment module is used for generating a comprehensive judgment result according to each detection result; the integrated decision result is used to characterize a signal class of the baseband signal.

In an embodiment of the present application, the plurality of different system signal identification modules include a GSM signal identification module; the detection result corresponding to the GSM signal identification module is a GSM signal judgment result; the GSM signal identification module specifically includes: a peak power statistical unit, a mean power statistical unit, a PAPR peak-to-average ratio calculation unit and a PAPR peak-to-average ratio threshold judgment unit;

the peak power statistical unit is used for counting the peak power of the baseband signal;

the mean power statistical unit is used for calculating the mean power of the baseband signal;

the PAPR peak-to-average ratio calculating unit is used for calculating the PAPR peak-to-average ratio according to the peak power and the average power;

the PAPR peak-to-average ratio threshold judging unit is used for comparing the PAPR peak-to-average ratio with a preset peak-to-average ratio threshold, generating the GSM signal judging result according to the comparison result and sending the GSM signal judging result to the comprehensive judging module.

In one embodiment of the present application, the signal identification apparatus further includes a frequency shifting module; the plurality of different standard signal identification modules also comprise an LTE (long term evolution) and mixed-mode signal identification module and/or an NB-IOT (NB-advanced technology end) signal identification module; the detection result corresponding to the LTE and mixed-mode signal identification module is an LTE and mixed-mode signal judgment result, and the detection result corresponding to the NB-IOT signal identification module is an NB-IOT signal judgment result; the LTE and mixed-mode signal identification module and/or the NB-IOT signal identification module specifically includes: a CIC filter decimation unit and a narrow band shaping filter unit;

the frequency shifting module is used for carrying out frequency shifting processing on the baseband signals according to the frequency point switching instruction; the frequency point switching instruction is generated according to the detection result corresponding to each signal detection mechanism;

the CIC filter extraction unit is used for extracting and filtering the baseband signal after the frequency shifting processing according to a preset sampling rate to obtain a baseband signal corresponding to the preset sampling rate;

the narrow band shaping filter unit is used for filtering the baseband signal corresponding to the preset sampling rate to generate a filtered signal;

the LTE and mixed-mode signal identification module and/or the NB-IOT signal identification module are further used for detecting the filtering signal and generating the LTE and mixed-mode signal judgment result and/or the NB-IOT signal judgment result.

In an embodiment of the present application, the LTE and mixed-mode signal identification module further includes: PSS cell code searching unit, LTE and mixed mode signal judging unit;

the PSS cell code searching unit is used for extracting a PSS cell code in the filtering signal;

the LTE and mixed mode signal judging unit is used for comparing the PSS cell code with a preset standard cell code, generating an LTE and mixed mode signal judging result according to the comparison result and sending the LTE and mixed mode signal judging result to the comprehensive judging module

In an embodiment of the application, the NB-IOT signal identification module further includes: a narrow-band peak power statistical unit, a narrow-band average power statistical unit, a narrow-band PAPR peak-to-average ratio calculation unit and a narrow-band PAPR peak-to-average ratio threshold judgment unit;

the narrow-band peak power statistical unit is used for counting the narrow-band peak power of the filtering signal;

the narrow-band mean power statistical unit is used for counting the narrow-band mean power of the filtering signal;

the narrow-band PAPR peak-to-average ratio calculating unit is used for calculating a narrow-band PAPR peak-to-average ratio value according to the narrow-band peak power and the narrow-band average power;

the narrowband PAPR peak-to-average ratio threshold judging unit is used for comparing the narrowband PAPR peak-to-average ratio with a preset narrowband PAPR threshold, generating the NB-IOT signal judging result according to the comparison result and sending the NB-IOT signal judging result to the comprehensive judging module.

In one embodiment of the present application, the signal identification apparatus further includes a switching control module; the comprehensive judgment module specifically comprises a signal identification unit and a control unit;

the signal identification unit is configured to receive the GSM signal determination result, and if the GSM signal determination result indicates that the baseband signal is a GSM signal, take the GSM signal determination result as the signal identification result;

if the GSM signal determination result indicates that the baseband signal is not a GSM signal, the control unit is configured to generate a first control instruction, and send the first control instruction to the handover control module; the switching control module is used for generating a frequency point switching instruction carrying a first frequency point according to the first control instruction and sending the frequency point switching instruction carrying the first frequency point to the frequency moving module;

the signal identification unit is further configured to generate the comprehensive judgment result according to the first frequency point and the LTE and mixed-mode signal judgment result.

In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the following steps when executing the computer program:

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps:

The signal identification method, the signal identification device, the computer equipment and the storage medium respectively detect the baseband signals through a plurality of preset different signal detection mechanisms to generate detection results corresponding to the signal detection mechanisms; different signal detection mechanisms are used for identifying baseband signals of different systems; generating a comprehensive judgment result according to each detection result; the integrated decision result is used to characterize the signal class of the baseband signal. According to the signal identification method provided by the embodiment of the application, the detection results of the baseband signals corresponding to different signal detection mechanisms are collected, so that the identification range of the application for identifying different types of standard signals is widened, and the comprehensive detection result of the baseband signals is generated according to the detection results corresponding to the signal detection mechanisms, so that the identification accuracy of the signal types of the baseband signals can be improved, and the identification efficiency is also improved.

Drawings

FIG. 1 is a block diagram of a computer device provided in an embodiment of the present application;

fig. 2 is a flowchart of a signal identification method according to an embodiment of the present application;

fig. 3 is a flowchart of another signal identification method provided in the embodiment of the present application;

fig. 4 is a flowchart of another signal identification method provided in the embodiment of the present application;

fig. 5 is a flowchart of another signal identification method according to an embodiment of the present disclosure;

fig. 6 is a flowchart of another signal identification method provided in the embodiments of the present application;

FIG. 7 is a flowchart of another signal identification method according to an embodiment of the present disclosure;

fig. 8 is a flowchart of another signal identification method provided in the embodiments of the present application;

fig. 9 is a flowchart of another signal identification method provided in the embodiments of the present application;

fig. 10 is a block diagram of a signal identification apparatus according to an embodiment of the present application;

fig. 11a is a block diagram of another signal identification device according to an embodiment of the present application;

fig. 11b is a block diagram of another signal identification device provided in the embodiments of the present application;

fig. 12 is a block diagram of another signal identification device according to an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.

The signal identification method provided by the application can be applied to computer equipment shown in fig. 1. As shown in fig. 1, the computer apparatus includes a processor, a memory, a network interface, a display screen, and an input device, which are connected through a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a signal recognition method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

It should be noted that the execution subject in the embodiments of the present application may be a signal recognition device, and may also be a computer device, and the following embodiments will be described by taking the execution subject as an example of the computer device.

In one embodiment, a signal identification method is provided, and the embodiment relates to a process of identifying baseband signals of different standards. As shown in fig. 2, the method may include the steps of:

step 202, detecting baseband signals through a plurality of preset different signal detection mechanisms respectively, and generating detection results corresponding to the signal detection mechanisms; different signal detection mechanisms are used to identify baseband signals of different formats.

In an embodiment of the present application, the computer device receives a baseband signal to be identified, and detects the baseband signal to be identified by using a plurality of preset signal detection mechanisms, specifically, each preset signal detection mechanism may correspondingly detect baseband signals of one and/or a plurality of different formats. For example, if a GSM signal detection mechanism is adopted, it can be determined whether the baseband signal is a GSM signal; if an LTE and mixed-mode signal detection mechanism is adopted, whether the baseband signal is one of an LTE signal and a mixed-mode signal can be judged; if the NB-IOT signal detection mechanism is used, it can be determined whether the baseband signal is an NB-IOT signal. Specifically, the baseband signal may be baseband IQ data.

In an embodiment of the present application, for a signal detection mechanism of a mode signal, the signal detection mechanism may include one detection method or multiple different detection methods, where each detection method may detect whether the baseband signal is of the signal mode. The signal detection mechanism may combine the detector results of multiple detection methods to generate a detection result for the signal detection mechanism.

In an embodiment of the present application, each detection mechanism outputs a corresponding detection result according to an input baseband signal to be identified, where the detection result is used to characterize whether the baseband signal is a corresponding standard signal. For example, for a GSM signal detection mechanism, a GSM signal detection result is output according to the baseband signal, and the detection result may indicate that the baseband signal is a GSM signal or indicate that the baseband signal is not a GSM signal; for a detection mechanism capable of detecting multiple signal systems, such as an LTE and mixed-mode signal detection mechanism, the LTE and mixed-mode signal detection result output by the detection mechanism may indicate that the baseband signal is any one of an LTE signal and a mixed-mode signal, and may also indicate that the baseband signal is not any one of an LTE signal and a mixed-mode signal.

Step 204, generating a comprehensive judgment result according to each detection result; the comprehensive decision result is used for representing the signal category of the baseband signal.

In one embodiment of the present application, the computer device receives and counts the detection results output by the detection mechanisms, and generates a comprehensive decision result according to the obtained detection results, wherein the comprehensive decision result can directly determine the signal category of the baseband signal. For example, a plurality of detection results are received, and if one and only one of the detection results indicates the signal type of the baseband signal, the signal type is taken as the comprehensive judgment result; if at least two detection results indicate the signal type of the baseband signal, the detection result and the signal type corresponding to the detection mechanism with the highest priority can be used as the comprehensive judgment result according to the detection priority of each detection mechanism; if the detection result indicates that the baseband signal can be one of at least two signal types, a signal receiving parameter can be obtained, and one signal type is further determined as the signal type of the baseband signal, wherein the signal receiving parameter can be a working frequency point, a central frequency point, a mobile frequency point or a mixing frequency point.

In the signal identification method provided by the embodiment of the application, baseband signals are respectively detected through a plurality of preset different signal detection mechanisms, and detection results corresponding to the signal detection mechanisms are generated; different signal detection mechanisms are used for identifying baseband signals of different systems; generating a comprehensive judgment result according to each detection result; the integrated decision result is used to characterize the signal class of the baseband signal. According to the signal identification method provided by the embodiment of the application, because the detection results of the baseband signals corresponding to different signal detection mechanisms are collected, the identification range of the application for identifying different types of standard signals is enlarged, and the comprehensive detection result of the baseband signals is generated according to the detection results corresponding to the signal detection mechanisms, so that the identification accuracy of the signal types of the baseband signals can be improved, and the identification efficiency is also improved.

In another embodiment, another signal identification method is provided, and this embodiment relates to a specific procedure as to whether the baseband signal is a GSM signal identification when the GSM signal detection mechanism is included in the plurality of different signal detection mechanisms. On the basis of the above embodiment, the plurality of different signal detection mechanisms include a GSM signal detection mechanism; the detection result corresponding to the GSM signal detection mechanism is a GSM signal judgment result; as shown in fig. 3, the detecting the baseband signal by a plurality of preset different signal detecting mechanisms to generate a detection result corresponding to each signal detecting mechanism includes the following steps:

step 302, the peak power and the average power of the baseband signal are counted.

And step 304, generating a PAPR peak-to-average ratio value of the baseband signal according to the peak power and the average power.

And step 306, comparing the PAPR peak-to-average ratio with a preset peak-to-average ratio threshold, and generating a GSM signal judgment result according to the comparison result.

In an embodiment of the present application, the computer device counts a peak power and a mean power of the baseband signal, and calculates a PAPR of the baseband signal according to the peak power and the mean power, and specifically, the PAPR is a ratio of the peak power and the mean power.

In an embodiment of the present application, after the PAPR peak-to-average ratio is obtained, the PAPR peak-to-average ratio is compared with a preset peak-to-average ratio threshold, when the PAPR peak-to-average ratio is smaller than the peak-to-average ratio threshold, the baseband signal is determined to be a GSM signal, and the GSM signal determination result is set as the baseband signal to be a GSM signal, optionally, a result identifier "1" may be directly output to indicate that the baseband signal is a GSM signal; when the PAPR peak-to-average ratio is greater than or equal to the PAPR peak-to-average ratio threshold, determining that the baseband signal is not a GSM signal, and setting the GSM signal determination result as that the baseband signal is not a GSM signal, optionally, a result flag "0" may be directly output to indicate that the baseband signal is not a GSM signal.

In another embodiment of the present application, the computer device further presets a power threshold, and determines whether the corresponding baseband signal exists by comparing the peak power and/or the average power of the baseband signal with the power threshold, and if the peak power and/or the average power of the baseband signal is less than or equal to the power threshold, determines that the baseband signal does not exist, does not output the GSM signal determination result, or sets the GSM signal determination result as that the baseband signal is not a GSM signal, and optionally may directly output a result identifier "0" to indicate that the baseband signal is not a GSM signal.

In the signal identification method provided by this embodiment, the peak power and the average power of the baseband signal are counted; generating a PAPR peak-to-average ratio of the baseband signal according to the peak power and the average power; and comparing the PAPR peak-to-average ratio with a preset peak-to-average ratio threshold, and generating a GSM signal judgment result according to the comparison result. According to the signal identification method provided by the embodiment of the application, the signal characteristics of the baseband signal are extracted and compared with the preset threshold value, and the GSM judgment result is generated according to the comparison result, so that the identification accuracy and the identification efficiency of the application in judging whether the baseband signal is the GSM signal can be improved.

In another embodiment, another signal identification method is provided, and this embodiment relates to a specific process for identifying LTE and mixed-mode signals and/or NB-IOT signals when the multiple different signal detection mechanisms include the LTE and mixed-mode signal detection mechanism and/or the NB-IOT signal detection mechanism. On the basis of the above embodiment, the multiple different signal detection mechanisms further include an LTE and mixed-mode signal detection mechanism and/or an NB-IOT signal detection mechanism; the detection result corresponding to the LTE and mixed mode signal detection mechanism is an LTE and mixed mode signal judgment result; the detection result corresponding to the NB-IOT signal detection mechanism is an NB-IOT signal judgment result; as shown in fig. 4, the detecting the baseband signal by a plurality of preset different signal detecting mechanisms to generate a detection result corresponding to each signal detecting mechanism includes the following steps:

step 402, carrying out frequency shifting processing on the baseband signal according to the frequency point switching instruction; and the frequency point switching instruction is generated according to the detection result corresponding to each signal detection mechanism.

In an embodiment of the present application, before performing signal feature extraction on the baseband signal, frequency shifting processing needs to be performed on the baseband signal, and frequency points of the baseband signal are shifted to central frequency points corresponding to each signal detection mechanism, for example, when the baseband signal needs to be detected by LTE and a mixed-mode signal detection mechanism, the baseband signal needs to be shifted to the central frequency points corresponding to LTE or the mixed-mode signal; when the baseband signal needs to be detected through an NB-IOT signal detection mechanism, the baseband signal needs to be moved to a central frequency point corresponding to the NB-IOT signal.

In an embodiment of the present application, the frequency point switching instruction carries a central frequency point required for performing frequency shifting processing, and accordingly, the frequency point switching instruction is generated by a detection result corresponding to each signal detection mechanism.

And 404, performing decimation filtering on the baseband signal subjected to the frequency shifting processing according to a preset sampling rate to obtain a baseband signal corresponding to the preset sampling rate.

In an embodiment of the present application, for the baseband signal after the frequency shifting processing, the baseband signal after the frequency shifting processing may be decimated and filtered by a CIC filter, so as to reduce the frequency of the baseband signal after the frequency shifting processing to a preset sampling rate, and obtain a baseband signal corresponding to the preset sampling rate. The preset sample rate may be set to 1.92 msps.

And 406, performing filtering processing on the baseband signal corresponding to the preset sampling rate to generate a filtered signal.

In an embodiment of the present application, the baseband signal corresponding to the preset sampling rate is input to a narrow band shaping filter for filtering, so as to obtain a corresponding filtered signal.

And step 408, detecting the filtered signal through an LTE and mixed-mode signal detection mechanism and/or an NB-IOT signal detection mechanism, and generating an LTE and mixed-mode signal judgment result and/or an NB-IOT signal judgment result.

In an embodiment of the present application, for a filtered signal, an LTE and mixed-mode signal detection mechanism and/or an NB-IOT signal detection mechanism are used to detect the filtered signal, and a corresponding LTE and mixed-mode signal determination result and/or NB-IOT signal determination result may be generated.

Specifically, in another embodiment, another signal identification method is provided, and this embodiment relates to a specific process of detecting a filtered signal through LTE and a mixed-mode signal detection mechanism. On the basis of the above embodiments, as shown in fig. 5, the detecting the filtered signal by the LTE and mixed-mode signal detecting mechanism includes the following steps:

step 502, extracting the PSS cell code in the filtered signal.

And 504, comparing the PSS cell code with a preset standard cell code, and generating an LTE and mixed-mode signal judgment result according to the comparison result.

In an embodiment of the present application, when detecting a filtered signal by using LTE and mixed-mode signal detection mechanisms, a PSS cell code in the filtered signal needs to be extracted first. If the PSS cell code corresponding to the filtering signal can be extracted, the obtained PSS cell code can be compared with a preset standard cell code, the preset standard cell code can be divided into a standard cell code corresponding to an LTE signal and a standard cell code corresponding to a mixed-mode signal, when the obtained PSS cell code is the same as the standard cell code corresponding to the LTE signal or the standard cell code corresponding to the mixed-mode signal, the baseband signal is determined to be the LTE and/or mixed-mode signal, and the LTE and mixed-mode signal determination result is set to be the LTE and/or mixed-mode signal, optionally, a result identifier "1" can be directly output and used for indicating that the baseband signal is the LTE and/or mixed-mode signal; when the obtained PSS cell code is not the same as the standard cell code corresponding to the LTE signal or the standard cell code corresponding to the mixed-mode signal, it is determined that the baseband signal is not the LTE and/or mixed-mode signal, and the LTE and mixed-mode signal determination result is set to be that the baseband signal is not the LTE and/or mixed-mode signal, optionally, a result identifier "0" may be directly output to indicate that the baseband signal is not the LTE and/or mixed-mode signal.

In an embodiment of the present application, if the PSS cell code corresponding to the filtering signal cannot be extracted, it is determined that the baseband signal is not the LTE and/or the mixed-mode signal, and the LTE and mixed-mode signal determination result is set as that the baseband signal is not the LTE and/or the mixed-mode signal, optionally, a result identifier "0" may be directly output to indicate that the baseband signal is not the LTE and/or the mixed-mode signal.

Specifically, in another embodiment, another signal identification method is provided, and this embodiment relates to a specific process of detecting a filtered signal by an NB-IOT signal detection mechanism and generating an LTE and hybrid-mode signal decision result and/or an NB-IOT signal decision result. On the basis of the foregoing embodiments, as shown in fig. 6, the detecting the filtered signal by the NB-IOT signal detection mechanism and generating the LTE and mixed-mode signal decision result and/or the NB-IOT signal decision result includes the following steps:

step 602, counting the narrow-band peak power and the narrow-band average power of the filtered signal.

And step 604, generating a narrow-band PAPR peak-to-average ratio of the filtering signal according to the narrow-band peak power and the narrow-band average power.

And 606, comparing the narrow-band PAPR peak-to-average ratio with a preset narrow-band PAPR threshold, and generating an NB-IOT signal judgment result according to the comparison result.

In an embodiment of the present application, the computer device may count a narrowband peak power and a narrowband average power of the filtered signal, and calculate a narrowband PAPR peak-to-average ratio of the filtered signal according to the narrowband peak power and the narrowband average power, where the narrowband PAPR peak-to-average ratio is a ratio of the narrowband peak power and the narrowband average power.

In an embodiment of the present application, after obtaining the narrowband PAPR, the comparison is performed with a preset narrowband PAPR threshold, when the narrowband PAPR is smaller than the narrowband PAPR threshold, the baseband signal is determined to be an NB-IOT signal, and the NB-IOT signal determination result is set as that the baseband signal is an NB-IOT signal, optionally, a result identifier "1" may be directly output to indicate that the baseband signal is an NB-IOT signal; when the narrow-band PAPR peak-to-average ratio is greater than or equal to the peak-to-average ratio threshold, determining that the baseband signal is not an NB-IOT signal, and setting the NB-IOT signal determination result as that the baseband signal is not an NB-IOT signal, optionally, a result flag "0" may be directly output to indicate that the baseband signal is not an NB-IOT signal.

In another embodiment of the present application, the computer device further presets a narrowband power threshold, and may determine whether the corresponding filtered signal exists by comparing a narrowband peak power and/or a narrowband average power of the filtered signal with the narrowband power threshold, and if the narrowband peak power and/or the narrowband average power of the filtered signal is less than or equal to the narrowband power threshold, determine that the filtered signal does not exist, not output the NB-IOT signal determination result, or set the NB-IOT signal determination result as that the baseband signal is not an NB-IOT signal, optionally, may directly output a result identifier "0" to indicate that the baseband signal is not an NB-IOT signal.

In the signal identification method provided by this embodiment, the baseband signal is subjected to frequency shifting processing according to the frequency point switching instruction; a frequency point switching instruction is generated according to the detection result corresponding to each signal detection mechanism; performing extraction filtering on the baseband signal subjected to frequency shifting processing according to a preset sampling rate to obtain a baseband signal corresponding to the preset sampling rate; filtering the baseband signal corresponding to the preset sampling rate to generate a filtered signal; when an LTE and mixed-mode signal detection mechanism is adopted to detect the filtering signal, a PSS cell code in the filtering signal is extracted; comparing the PSS cell code with a preset standard cell code, and generating an LTE and mixed-mode signal judgment result according to the comparison result; when an NB-IOT signal detection mechanism is adopted to detect the filtering signal, the narrow-band peak power and the narrow-band mean power of the filtering signal are counted; generating a narrow-band PAPR peak-to-average ratio of the filtering signal according to the narrow-band peak power and the narrow-band mean power; and comparing the narrow-band PAPR peak-to-average ratio with a preset narrow-band PAPR threshold, and generating an NB-IOT signal judgment result according to the comparison result. According to the signal identification method provided by the embodiment of the application, the baseband signal is subjected to sampling processing and filtering processing before the filtering signal is detected by an LTE and mixed-mode signal detection mechanism and/or an NB-IOT signal detection mechanism, so that the detection accuracy of the detection mechanism on the baseband signal can be improved, the detection accuracy and detection efficiency of the LTE and mixed-mode signal can be further improved by adopting a mode of extracting a PSS cell code and comparing the PSS cell code with a preset standard cell code, and the detection accuracy and detection efficiency of the NB-IOT signal can be further improved by adopting a mode of acquiring a narrow-band PAPR (peak-to-average power ratio) value and comparing the narrow-band PAPR value with a preset narrow-band PAPR threshold.

In another embodiment, another signal identification method is provided, and the embodiment relates to a specific process of generating a comprehensive judgment result according to the detection result of each signal detection mechanism. On the basis of the above embodiment, as shown in fig. 7, the generating a comprehensive judgment result according to each detection result includes the following steps:

in step 702, if the GSM signal determination result indicates that the baseband signal is a GSM signal, the GSM signal determination result is used as a comprehensive determination result.

In an embodiment of the present application, a detection priority of the GSM signal detection mechanism is highest, and when a GSM signal determination result is obtained and the GSM signal determination result indicates that a baseband signal is a GSM signal, the GSM signal determination result is used as a comprehensive determination result. Optionally, when the GSM signal determination result indicates that the baseband signal is a GSM signal, no matter which signal the baseband signal is indicated by the detection result corresponding to the other detection mechanism, the GSM signal determination result is used as a comprehensive determination result, that is, it is determined that the baseband signal is a GSM signal.

Step 704, if the GSM signal determination result indicates that the baseband signal is not a GSM signal, a first control instruction is generated; the first control instruction is used for generating a frequency point switching instruction carrying a first frequency point; and generating a comprehensive judgment result according to the first frequency point, the LTE and the mixed-mode signal judgment result.

In an embodiment of the present application, when the obtained GSM signal determination result indicates that the baseband signal is not a GSM signal, the comprehensive determination result may be generated according to the LTE and mixed-mode signal determination results corresponding to the LTE and mixed-mode signal detection mechanisms according to the priority order.

In an embodiment of the application, when the obtained GSM signal determination result indicates that the baseband signal is not a GSM signal, the first control instruction is generated, the first control instruction may be used to generate a frequency point switching instruction carrying a first frequency point, the first frequency point is a central frequency point corresponding to the LTE and mixed-mode signal detection mechanism, and by generating the frequency point switching instruction carrying the first frequency point, the baseband signal can be moved to the first frequency point, so that the identification accuracy of the LTE and mixed-mode signal detection mechanism on the signal is improved. Specifically, the first frequency point is a central frequency point corresponding to the LTE signal.

In the signal identification method provided in this embodiment, if the GSM signal determination result indicates that the baseband signal is a GSM signal, the GSM signal determination result is used as a comprehensive determination result; if the GSM signal judgment result indicates that the baseband signal is not the GSM signal, generating a first control instruction; the first control instruction is used for generating a frequency point switching instruction carrying a first frequency point; and generating a comprehensive judgment result according to the first frequency point, the LTE and the mixed-mode signal judgment result. According to the signal identification method provided by the embodiment of the application, because the priority of the GSM signal detection mechanism is set to be the highest, when the GSM signal judgment result indicates that the baseband signal is the GSM signal, the GSM signal judgment result is taken as the comprehensive judgment result, and the identification efficiency of the signal identification method in the application in the identification of various system signals can be improved; due to the fact that the first control instruction is generated, when the baseband signal is judged not to be the GSM signal, the current detection environment can be rapidly switched to the detection environment corresponding to the LTE signal in the LTE and mixed-mode signal detection mechanism by means of the first frequency point carried in the first control instruction, the accurate LTE and mixed-mode signal judgment result is further obtained, the detection accuracy of the LTE and mixed-mode signal is improved, and meanwhile the detection efficiency is also improved.

In another embodiment, another signal identification method is provided, and this embodiment relates to a specific process of generating an integrated determination result according to the first frequency point and the LTE and mixed-mode signal determination results. On the basis of the above embodiment, as shown in fig. 8, the method for acquiring the semantic segmentation model includes the following steps:

step 802, if the LTE and mixed-mode signal determination result indicates that the baseband signal is one of an LTE signal and a mixed-mode signal, and the current frequency point is the first frequency point, setting the comprehensive determination result as that the baseband signal is an LTE signal.

In an embodiment of the application, since the received LTE and mixed-mode signal determination result may indicate that the baseband signal is any one of an LTE signal and a mixed-mode signal, it is further required to determine whether the LTE signal or the mixed-mode signal is used when the baseband signal is determined according to the current frequency point.

Step 804, if the LTE and mixed-mode signal determination result indicates that the baseband signal is not any one of the LTE signal or the mixed-mode signal and the current frequency point is the first frequency point, generating a second control instruction; and the second control instruction is used for generating a frequency point switching instruction carrying a second frequency point and generating a comprehensive judgment result according to the second frequency point and the judgment results of the LTE and the mixed mode signal.

In an embodiment of the present application, when the LTE and mixed-mode signal determination result indicates that the baseband signal is not any one of an LTE signal and a mixed-mode signal, and the current frequency point is the first frequency point, it indicates that the baseband signal is not a GSM signal or an LTE signal, and it is necessary to further determine whether the baseband signal is a mixed-mode signal.

Specifically, the second frequency point is a central frequency point corresponding to the mixed-mode signal, and the baseband signal can be carried to the second frequency point by generating a frequency point switching instruction carrying the second frequency point, so that the mixed-mode signal can be detected.

In the signal identification method provided in this embodiment, if the LTE and mixed-mode signal determination result indicates that the baseband signal is one of an LTE signal and a mixed-mode signal, and the current frequency point is the first frequency point, the comprehensive determination result is set as that the baseband signal is the LTE signal; if the LTE and mixed-mode signal judgment result indicates that the baseband signal is not any one of the LTE signal or the mixed-mode signal and the current frequency point is the first frequency point, generating a second control instruction; the second control instruction is used for generating a frequency point switching instruction carrying a second frequency point and generating a comprehensive judgment result according to the second frequency point, the LTE and the mixed mode signal judgment result. According to the signal identification method provided by the embodiment of the application, after the baseband signal is judged not to be the GSM signal, whether the baseband signal is the LTE signal or not can be further identified by switching the frequency point to the first frequency point, when the baseband signal is not the LTE signal, the current frequency point can be obtained, if the current frequency point is the first frequency point, according to the detection priority, the current detection environment is switched to the detection environment corresponding to the mixed-mode signal in the LTE and mixed-mode signal detection mechanism by using the second frequency point carried in the second control instruction, the accurate LTE and mixed-mode signal judgment result is further obtained, the detection accuracy of the LTE and mixed-mode signal is improved, and meanwhile, the detection efficiency is also improved.

In another embodiment, another signal identification method is provided, and this embodiment relates to a specific process of generating an integrated determination result according to the second frequency point and the LTE and mixed-mode signal determination results. On the basis of the above embodiment, as shown in fig. 9, the method for acquiring the semantic segmentation model includes the following steps:

in step 902, if the LTE and mixed-mode signal determination result indicates that the baseband signal is one of an LTE signal and a mixed-mode signal and the current frequency point is the second frequency point, the comprehensive determination result is set as that the baseband signal is a mixed-mode signal.

Step 904, if the LTE and mixed mode signal determination result indicates that the baseband signal is not any one of the LTE signal or the mixed mode signal, and the current frequency point is the second frequency point, generating a third control instruction; and the third control instruction is used for generating a frequency point switching instruction carrying a third frequency point and generating a comprehensive judgment result according to the third frequency point and the judgment result of the NB-IOT signal.

In an embodiment of the application, when the LTE and mixed-mode signal determination result indicates that the baseband signal is not any one of an LTE signal and a mixed-mode signal, and the current frequency point is the second frequency point, it indicates that the baseband signal is not a GSM signal, nor an LTE signal or a mixed-mode signal, and it is necessary to further determine whether the baseband signal is an NB-IOT signal.

Specifically, the third frequency point is a central frequency point corresponding to the NB-IOT signal, and the baseband signal can be moved to the third frequency point by generating the frequency point switching instruction carrying the third frequency point, so as to implement detection of the NB-IOT signal.

In another embodiment of the present application, the above embodiment further comprises:

and if the NB-IOT signal judgment result indicates that the baseband signal is the NB-IOT signal and the current frequency point is the third frequency point, setting the comprehensive judgment result as the baseband signal as the NB-IOT signal.

Specifically, according to the above embodiment, the third frequency point is a central frequency point corresponding to the NB-IOT signal, so that when the NB-IOT signal determination result indicates that the baseband signal is an NB-IOT signal, and the current frequency point is the third frequency point, it is determined that the baseband signal is the NB-IOT signal, and this is used as the comprehensive determination result.

In another embodiment, if the NB-IOT signal determination result indicates that the baseband signal is not an NB-IOT signal and the current frequency point is the third frequency point, the baseband signal is considered not to be an NB-IOT signal, and step 202 is executed again or step 702 is executed.

In the signal identification method provided by this embodiment, if the LTE and mixed-mode signal determination results indicate that the baseband signal is one of an LTE signal and a mixed-mode signal, and the current frequency point is the second frequency point, the comprehensive determination result is set as that the baseband signal is the mixed-mode signal; if the LTE and mixed-mode signal judgment result indicates that the baseband signal is not any one of the LTE signal or the mixed-mode signal and the current frequency point is the second frequency point, generating a third control instruction; and the third control instruction is used for generating a frequency point switching instruction carrying a third frequency point and generating a comprehensive judgment result according to the third frequency point and the judgment result of the NB-IOT signal. According to the signal identification method provided by the embodiment of the application, after the baseband signal is judged to be not the LTE signal, whether the baseband signal is the mixed mode signal or not can be further identified by switching the frequency point to the second frequency point, when the baseband signal is not the NB-IOT signal, the current frequency point can be obtained, if the current frequency point is the second frequency point, according to the detection priority, the current detection environment is switched to the detection environment corresponding to the NB-IOT signal in the NB-IOT signal detection mechanism by using the third frequency point carried in the third control instruction, and the accurate judgment result of the NB-IOT signal is further obtained, so that the detection accuracy of the NB-IOT signal is improved, and the detection efficiency is also improved.

It should be understood that, although the steps in the above-described flowcharts are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the above flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a part of the sub-steps or the stages of other steps.

Referring to fig. 10, a block diagram of a signal identification apparatus 1000 according to an embodiment of the present application is shown. As shown in fig. 10, the signal recognition apparatus 1000 may include: a plurality of system signal identification modules 1001 and a comprehensive judgment module 1002, wherein:

a plurality of different system signal identification modules 1001 configured to generate detection results corresponding to the different system signal identification modules by identifying baseband signals of different systems, and send the detection results to the comprehensive determination module 1002;

a comprehensive judgment module 1002, configured to generate a comprehensive judgment result according to each detection result; the integrated decision result is used to characterize the signal class of the baseband signal.

Referring to fig. 11a, a block diagram of a signal identification apparatus 1100 according to an embodiment of the present disclosure is shown. As shown in fig. 11a, the signal identification apparatus 1100 includes, in addition to the modules included in the signal identification apparatus 1000, optionally, the multiple standard signal identification modules 1001 may be at least one of a GSM signal identification module 1003, an LTE and mixed-mode signal identification module 1004, and an NB-IOT signal identification module 1005, and the apparatus further includes a frequency shifting module 1006. Wherein:

the frequency shifting module 1006 is configured to perform frequency shifting processing on the baseband signal according to the frequency point switching instruction; and the frequency point switching instruction is generated according to the detection result corresponding to each signal detection mechanism.

The GSM signal identification module 1003 specifically includes: a peak power statistics unit 10031, a mean power statistics unit 10032, a PAPR peak-to-average ratio calculation unit 10033, and a PAPR peak-to-average ratio threshold determination unit 10034. Wherein:

the peak power statistic unit 10031 is configured to count the peak power of the baseband signal.

The average power statistic unit 10032 is configured to count the average power of the baseband signal.

The PAPR peak-to-average ratio calculating unit 10033 is configured to calculate a PAPR peak-to-average ratio value according to the peak power and the average power.

The PAPR peak-to-average threshold determining unit 10034 is configured to compare the PAPR peak-to-average threshold with a preset peak-to-average threshold, generate a GSM signal determination result according to the comparison result, and send the GSM signal determination result to the comprehensive determining module 1002.

The LTE and mixed-mode signal identifying module 1004 specifically includes: CIC filter decimation unit 10041, narrow band shaping filter unit 10042, wherein:

the CIC filter extraction unit 10041 is configured to perform extraction and filtering on the baseband signal after the frequency shifting processing according to a preset sampling rate to obtain a baseband signal corresponding to the preset sampling rate.

The narrow band shaping filter unit 10042 is configured to perform filtering processing on the baseband signal corresponding to the preset sampling rate, and generate a filtered signal.

In an embodiment of the present application, the LTE and mixed-mode signal identifying module 1004 further includes: PSS cell code search unit 10043, LTE and mixed mode signal determination unit 10044. Wherein:

the PSS cell code search unit 10043 is configured to extract the PSS cell code from the filtered signal.

The LTE and mixed-mode signal determining unit 10044 is configured to compare the PSS cell code with a preset standard cell code, generate an LTE and mixed-mode signal determining result according to the comparison result, and send the LTE and mixed-mode signal determining result to the comprehensive determining module.

In an embodiment of the present application, the NB-IOT signal identifying module 1005 specifically includes: a CIC filter extractor 10051 and a narrow band shaping filter 10052 having the same functions as those of the LTE and mixed-mode signal identifier module 1004.

In an embodiment of the present application, the NB-IOT signal identifying module 1005 further includes: a narrowband peak power statistic unit 10053, a narrowband average power statistic unit 10054, a narrowband PAPR peak-to-average ratio calculation unit 10055, and a narrowband PAPR peak-to-average ratio threshold decision unit 10056. Wherein:

the narrowband peak power statistic unit 10053 is configured to count the narrowband peak power of the filtered signal.

The narrow-band mean power statistics unit 10054 is configured to statistically filter the narrow-band mean power of the signal.

The narrow-band PAPR peak-to-average ratio calculating unit 10055 is configured to calculate a narrow-band PAPR peak-to-average ratio value according to the narrow-band peak power and the narrow-band average power.

The narrowband PAPR peak-to-average threshold determining unit 10056 is configured to compare the narrowband PAPR peak-to-average threshold with a preset narrowband peak-to-average threshold, generate an NB-IOT signal determination result according to the comparison result, and send the NB-IOT signal determination result to the comprehensive determining module.

In another embodiment of the present application, please refer to a block diagram of another signal identification apparatus 1200 shown in fig. 11b, wherein the NB-IOT signal identification module 1005 may share the CIC filter decimation unit 10041 and the narrowband shaping filter unit 10042 in the LTE and mixed-mode signal identification module 1004. By sharing the CIC filter extraction unit and the narrow-band shaping filter unit, FPGA resources can be saved, and the overall architecture of the signal identification device is simplified.

Referring to fig. 12, a block diagram of a signal identification apparatus 1300 according to an embodiment of the present application is shown. As shown in fig. 12, the signal recognition apparatus 1300 includes, in addition to the modules included in the signal recognition apparatus 1100 or the signal recognition apparatus 1200, optionally, a switching control module 1007, and the comprehensive determination module 1002 specifically includes a signal recognition unit 10021 and a control unit 10022. Wherein:

the signal identification unit 10021 is configured to receive a GSM signal determination result, and if the GSM signal determination result indicates that the baseband signal is a GSM signal, take the GSM signal determination result as a signal identification result.

If the GSM signal determination result indicates that the baseband signal is not a GSM signal, the control unit 10022 is configured to generate a first control instruction, and send the first control instruction to the switching control module 1007; the switching control module 1007 is configured to generate a frequency point switching instruction carrying the first frequency point according to the first control instruction, and send the frequency point switching instruction carrying the first frequency point to the frequency moving module 1006.

The signal identification unit 10021 is further configured to generate an integrated determination result according to the first frequency point and the LTE and mixed-mode signal determination results.

In an embodiment of the present application, the signal identification unit 10021 is further configured to receive a determination result of the LTE and the mixed-mode signal, and if the determination result of the LTE and the mixed-mode signal indicates that the baseband signal is one of an LTE signal and a mixed-mode signal, and the current frequency point is the first frequency point, set the comprehensive determination result as that the baseband signal is the LTE signal;

if the LTE and mixed-mode signal determination result indicates that the baseband signal is not any one of the LTE signal and the mixed-mode signal, and the current frequency point is the first frequency point, the control unit 10022 is further configured to generate a second control instruction, and send the second control instruction to the switching control module 1007; the switching control module 1007 is further configured to generate a frequency point switching instruction carrying a second frequency point according to the second control instruction, and send the frequency point switching instruction carrying the second frequency point to the frequency moving module 1006;

the signal identification unit 10021 is further configured to generate a comprehensive determination result according to the second frequency point and the LTE and mixed-mode signal determination results.

In an embodiment of the present application, the signal identification unit 10021 is further configured to receive a determination result of the LTE and the mixed-mode signal, and if the determination result of the LTE and the mixed-mode signal indicates that the baseband signal is one of an LTE signal and a mixed-mode signal, and the current frequency point is the second frequency point, set the comprehensive determination result as that the baseband signal is the mixed-mode signal;

if the LTE and mixed-mode signal determination result indicates that the baseband signal is not any one of the LTE signal and the mixed-mode signal, and the current frequency point is the second frequency point, the control unit 10022 is further configured to generate a third control instruction, and send the third control instruction to the switching control module 1007; the switching control module 1007 is further configured to generate a frequency point switching instruction carrying a third frequency point according to a third control instruction, and send the frequency point switching instruction carrying the third frequency point to the frequency shifting module 1006;

the signal identification unit 10021 is further configured to generate a comprehensive determination result according to the third frequency point and the NB-IOT signal determination result.

In an embodiment of the present application, the signal identifying unit 10021 is further configured to receive an NB-IOT signal determination result, and if the NB-IOT signal determination result indicates that the baseband signal is an NB-IOT signal and the current frequency point is a third frequency point, set the comprehensive determination result as that the baseband signal is an NB-IOT signal.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

respectively detecting the baseband signals through a plurality of preset different signal detection mechanisms to generate detection results corresponding to the signal detection mechanisms; different signal detection mechanisms are used for identifying baseband signals of different systems;

generating a comprehensive judgment result according to each detection result; the comprehensive decision result is used for representing the signal category of the baseband signal.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), interface dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method of signal identification, the method comprising:

respectively detecting the baseband signals through a plurality of preset different signal detection mechanisms to generate detection results corresponding to the signal detection mechanisms; the different signal detection mechanisms are used for identifying baseband signals of different systems; the plurality of different signal detection mechanisms comprise a GSM signal detection mechanism and at least one of an LTE and mixed-mode signal detection mechanism; the detection result corresponding to the GSM signal detection mechanism is a GSM signal judgment result; the detection result corresponding to the LTE and mixed-mode signal detection mechanism is an LTE and mixed-mode signal judgment result;

generating a comprehensive judgment result according to each detection result; the comprehensive judgment result is used for representing the signal category of the baseband signal;

the generating a comprehensive judgment result according to each detection result includes:

if the GSM signal judgment result indicates that the baseband signal is not a GSM signal, generating a first control instruction; the first control instruction is used for generating a frequency point switching instruction carrying a first frequency point; and generating the comprehensive judgment result according to the first frequency point and the LTE and mixed-mode signal judgment result.

2. The method of claim 1, wherein the plurality of different signal detection schemes includes a GSM signal detection scheme; the detection result corresponding to the GSM signal detection mechanism is a GSM signal judgment result; the method for detecting the baseband signals respectively through a plurality of preset different signal detection mechanisms to generate detection results corresponding to the signal detection mechanisms comprises the following steps:

counting the peak power and the average power of the baseband signals;

3. The method of claim 2, wherein the plurality of different signal detection mechanisms further comprises an LTE and mixed-mode signal detection mechanism and/or an NB-IOT signal detection mechanism; the detection result corresponding to the LTE and mixed-mode signal detection mechanism is an LTE and mixed-mode signal judgment result; the detection result corresponding to the NB-IOT signal detection mechanism is an NB-IOT signal judgment result; the detecting the baseband signals by a plurality of preset different signal detecting mechanisms respectively to generate detecting results corresponding to the signal detecting mechanisms further comprises:

filtering the baseband signal corresponding to the preset sampling rate to generate a filtered signal;

and detecting the filtering signal through the LTE and mixed mode signal detection mechanism and/or the NB-IOT signal detection mechanism, and generating the LTE and mixed mode signal judgment result and/or the NB-IOT signal judgment result.

4. The method of claim 3, wherein the detecting the filtered signal by the LTE and mixed-mode signal detection mechanism and generating the LTE and mixed-mode signal decision result comprises:

extracting a PSS cell code in the filtering signal;

5. The method of claim 3, wherein the detecting the filtered signal by the NB-IOT signal detection mechanism and generating the NB-IOT signal decision result comprises:

generating a narrow-band PAPR peak-to-average ratio of the filtering signal according to the narrow-band peak power and the narrow-band average power;

6. The method of claim 1, wherein the generating the comprehensive decision result according to the first frequency point and the LTE and mixed-mode signal decision result comprises:

if the LTE and mixed-mode signal judgment result indicates that the baseband signal is not any one of an LTE signal or a mixed-mode signal and the current frequency point is the first frequency point, generating a second control instruction; the second control instruction is used for generating a frequency point switching instruction carrying a second frequency point, and generating the comprehensive judgment result according to the second frequency point and the LTE and mixed mode signal judgment result.

7. The method of claim 6, wherein the generating the comprehensive decision result according to the second frequency point and the LTE and mixed-mode signal decision result comprises:

if the LTE and mixed-mode signal judgment result indicates that the baseband signal is not any one of an LTE signal or a mixed-mode signal and the current frequency point is the second frequency point, generating a third control instruction; and the third control instruction is used for generating a frequency point switching instruction carrying a third frequency point, and generating the comprehensive judgment result according to the third frequency point and the NB-IOT signal judgment result.

8. The method of claim 7, wherein the generating the comprehensive decision result according to the third frequency point and the NB-IOT signal decision result comprises:

9. A signal recognition apparatus, the apparatus comprising: a plurality of different system signal identification modules and a comprehensive judgment module; the system signal identification modules are respectively connected with the comprehensive judgment module;

the system signal identification modules are used for generating detection results corresponding to the system signal identification modules by identifying baseband signals of different systems and sending the detection results to the comprehensive judgment module; the plurality of different signal detection mechanisms comprise a GSM signal detection mechanism and at least one of an LTE and mixed-mode signal detection mechanism; the detection result corresponding to the GSM signal detection mechanism is a GSM signal judgment result; the detection result corresponding to the LTE and mixed-mode signal detection mechanism is an LTE and mixed-mode signal judgment result;

the comprehensive judgment module is used for generating a comprehensive judgment result according to each detection result; the comprehensive decision result is used for representing the signal category of the baseband signal;

the signal identification device also comprises a switching control module and a frequency shifting module; the comprehensive judgment module specifically comprises a signal identification unit and a control unit;

the signal identification unit is further configured to generate the comprehensive determination result according to the first frequency point and the LTE and mixed-mode signal determination result.

10. The signal identifying device of claim 9, wherein the plurality of different standard signal identifying modules includes a GSM signal identifying module; the detection result corresponding to the GSM signal identification module is a GSM signal judgment result; the GSM signal identification module specifically includes: a peak power statistical unit, a mean power statistical unit, a PAPR peak-to-average ratio calculation unit and a PAPR peak-to-average ratio threshold judgment unit;

11. The signal identification device of claim 10, further comprising a frequency shifting module; the plurality of different standard signal identification modules also comprise an LTE (long term evolution) and mixed-mode signal identification module and/or an NB-IOT (NB-advanced technology end) signal identification module; the detection result corresponding to the LTE and mixed-mode signal identification module is an LTE and mixed-mode signal judgment result, and the detection result corresponding to the NB-IOT signal identification module is an NB-IOT signal judgment result; the LTE and mixed-mode signal identification module and/or the NB-IOT signal identification module specifically includes: a CIC filter decimation unit and a narrow band shaping filter unit;

the frequency shifting module is used for carrying out frequency shifting processing on the baseband signals according to the frequency point switching instruction; the frequency point switching instruction is generated according to the detection result corresponding to each standard signal identification module;

the CIC filter extraction unit is used for extracting and filtering the baseband signal after frequency shifting according to a preset sampling rate to obtain a baseband signal corresponding to the preset sampling rate;

12. The signal identifying device of claim 11, wherein the LTE and mixed-mode signal identifying module further comprises: PSS cell code searching unit, LTE and mixed mode signal judging unit;

the LTE and mixed mode signal judging unit is used for comparing the PSS cell code with a preset standard cell code, generating an LTE and mixed mode signal judging result according to the comparison result and sending the LTE and mixed mode signal judging result to the comprehensive judging module.

13. The signal identifying apparatus of claim 11, wherein the NB-IOT signal identifying module further comprises: a narrow-band peak power statistical unit, a narrow-band average power statistical unit, a narrow-band PAPR peak-to-average ratio calculation unit and a narrow-band PAPR peak-to-average ratio threshold judgment unit;

14. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 8 when executing the computer program.

15. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.