CN114611559A - Digital wireless signal analysis system - Google Patents
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Abstract
The invention discloses a digital wireless signal analysis system which comprises an interface driving module, a signal analysis processing module, a database module, a signal analysis effect dynamic evaluation module and a human-computer interaction interface module. And the signal analysis effect dynamic evaluation module is used for automatically and dynamically evaluating, and adjusting the analysis algorithm to improve the analysis effect. The system can read in local or networking digital wireless signal data, analyze according to the strategy set by the user, give out an alarm signal if the input digital wireless signal reaches a set threshold value, and output an Excel form file of an analysis report to the user; the designed system can be stored in a database for autonomous learning according to the input networking data.
Description
Technical Field
The invention relates to the field of audiometric signal analysis, in particular to an audiometric signal analysis system, and relates to technologies of broadband signal scanning and receiving, frequency point fast switching, high-speed processing of digital baseband signals and distributed data management.
Background
The infinite audiometric signal analysis technology is developed day by day, and the core technology can be summarized into two points: there is no suspect signal and what the suspect signal is. In signal detection in modern radio engineering, there are: the signal type is complicated, parameters (power, center frequency, bandwidth, power and the like) of the measured signal are unknown, and the frequency spectrum is crowded.
Chinese patent 201010142562 proposes a sports training analysis system based on digitized court and electromechanical signals. The system comprises a movable splicing type digital field, a portable wireless electromyograph, a system synchronous controller, a field bus and a computer. Splicing and connecting into squares or rectangles with different lengths and widths according to training requirements to form a movable splicing type digital field, and acquiring gait information of an athlete; the portable wireless electromyography is composed of a plurality of electromyography probes and is used for obtaining electromyography signals of athletes. The computer synchronous controller is respectively communicated with the digital site and the electromyograph. The gait information and the electromyographic signals are structured on the same time axis, and the electromyographic signals on the surface of the human body, the step positions of the human body and the pressure distribution characteristics are obtained, so that the posture parameters of the human body and the muscle state information of the human body are obtained and are used for analyzing the relationship between the muscle state and the step characteristics of the limbs and the relation between the posture and the local muscle strength and endurance.
The current signal acquisition equipment is very abundant, but the acquisition equipment all has respective data format and protocol, and there is the equipment that signal acquisition ability is strong slightly not enough on signal analysis. The device with professional analysis capability has a slightly insufficient signal acquisition capability due to its application scenario (such as portable device). The invention is suitable for the data formats or communication protocols of various common typical devices by compiling a data format conversion or communication protocol analysis software module, and realizes the analysis of frequency spectrums, energy and the like and the analysis of databases under different resolutions. According to the method, wireless electromagnetic signals of the focus fields such as offices and conference rooms, which are acquired by the current mainstream detection equipment such as a digital wireless eavesdropping detection system, an Agilent black bird system, an R & S spectrum analyzer, an OSCOR _ Green detection device and the like, are converted into a uniform format through a data format, and the hidden wireless audiometric signals are discovered and extracted by using algorithm tools such as energy analysis, spectrum analysis, signal analysis, statistical analysis and the like. Through long-term dynamic analysis and characteristic analysis, an important place electromagnetic environment database is established, a typical audiometric signal characteristic database is perfected, and a foundation is established for subsequent big data signal analysis.
Disclosure of Invention
The invention provides a digital wireless signal analysis system. The system can read in local or networking digital wireless signal data, analyze according to the strategy set by the user, give out an alarm signal if the input digital wireless signal reaches a set threshold value, and output an Excel form file of an analysis report to the user; the system designed by the invention can be stored in a database for autonomous learning according to the input networking data.
The technical scheme adopted by the invention is a digital wireless signal analysis system which comprises an interface driving module, a signal analysis processing module, a database module, a signal analysis effect dynamic evaluation module and a human-computer interaction interface module.
And the signal analysis effect dynamic evaluation module is used for automatically and dynamically evaluating, and adjusting the analysis algorithm to improve the analysis effect. After the time profile situation of the signal analysis process is generated, the signal analysis effect can be effectively improved by combining the signal analysis effect dynamic evaluation model.
The interface driving module is responsible for communicating with system hardware through Ethernet or directly reading wireless signal data on a computer local or a computer network. The interface driving module stores the received wireless signal data in a memory for the analysis and processing of subsequent data; the memory is a hard disk memory.
The signal analysis and data processing module is a core algorithm module, responds to the scheduling of the flow control module, and is responsible for carrying out specific analysis and operation on the acquired wireless signal data. The signal analysis and data processing module realizes the following analysis functions: judging and identifying a wireless signal modulation mode, calculating a modulation parameter, and demodulating a wireless signal; calculating and extracting parameters of the hopping spread spectrum signal, such as frequency hopping rate and bandwidth; calculating and extracting characteristics such as power, amplitude, phase and the like in a signal time domain; and (4) calculating and extracting information such as distribution composition, energy and the like in a signal frequency domain.
The interface driving module is accessed to the current mainstream signal acquisition equipment, the driving module is expanded, the professional non-mainstream acquisition equipment can be adapted and analyzed, and standard signals supported by the system signal analysis processing module are obtained after the signal format and protocol conversion completed by the interface driving module.
The signal analysis processing module is combined with the basic signal database and the historical signal characteristic database to analyze the acquired wireless signals and find out suspicious signals or hidden abnormalities, and in the analysis process, the signal analysis effect dynamic evaluation module is used for automatically and dynamically evaluating and adjusting the analysis algorithm to improve the analysis effect. The dynamic evaluation of the effect of the combined signal analysis is the core of the system.
The profile situation generation can be carried out on the analysis process according to the time points in the signal analysis process, so that the analysis process can be more effectively evaluated, and the analysis effect can be dynamically improved. The time profile analysis method mainly comprises the steps of dividing signal analysis into different analysis stages, extracting analysis effect evaluation parameters in each stage to form time profile analysis situation, evaluating the analysis effect through a signal analysis effect dynamic evaluation module in different time profiles, and automatically adjusting an analysis algorithm according to the evaluation result to achieve better analysis effect.
The database module is used for storing existing signal information, the existing database module is compared with the existing database when a new wireless signal is detected, and when the frequency spectrums of the two signals are obviously different, for example, when the frequency spectrums of the detected signal in a specific frequency band are obviously higher or lower than the frequency spectrums of the existing signal in the database, alarm information can be given. Meanwhile, the software also has learning ability, and can store the error-free detected signals into a database for comparison in the next signal detection.
The user sends a working instruction to the system through the software interface, obtains system working information, and watches various atlas analyses and results of the signal. The 'strategy-based flow control' unit is a flow control core module of software, is responsible for interaction between the GUI and data, and leads the software to work based on the working strategy input by a user. The figure display driving module uses the digital operation result of the data analysis processing module to generate various novel figure spectrograms, so that a user can observe the operation result more vividly and intuitively.
The system comprises the following specific implementation steps:
step 1: accessing signals of different acquisition devices and performing format conversion;
step 2: storing the converted data into a wireless signal storage library as historical data for subsequent analysis or system training, and simultaneously forwarding the data to a wireless signal preprocessing module in real time;
and 3, step 3: the wireless signal preprocessing module adopts a signal filtering technology based on wireless background signal characteristics to remove normal wireless signals and noise data, and performs fixed-frequency interference cancellation preprocessing and the like;
and 4, step 4: after the wireless signal preprocessing module carries out preprocessing, a time profile situation map is established according to different processing stages of wireless signals, and the processing stages comprise a full-band fast scanning stage, an abnormal signal locking stage and an abnormal signal high-resolution acquisition and analysis stage. Each stage is correspondingly fed back to the dynamic effect evaluation system, and analysis parameters or an analysis algorithm are adjusted in time according to the dynamic effect evaluation result, so that the analysis effect of each stage is controllable, and the signal analysis capability is improved;
and 5: and in the signal analysis process, extracting the wireless signal characteristics in real time, matching the wireless signal characteristics with a historical wireless signal characteristic library in real time, directly alarming and carrying out detailed tracking analysis if abnormal wireless signal characteristics are found, and adding the wireless signal characteristics into the historical wireless signal characteristic library for subsequent analysis and judgment.
And 6: the wireless signal analysis is carried out according to a preset analysis strategy, different analysis strategies and analysis algorithms are required to be adopted for different signals, and the analysis strategies and the analysis algorithms are formulated and designed in the system development process and can be dynamically added and modified; in the actual analysis process, an analysis strategy is automatically selected or is specified in advance according to a specific system, and an algorithm library is adopted for management.
And 7: in the process of signal analysis, energy analysis, frequency spectrum analysis and signal analysis can be selectively carried out according to different signals, in the analysis process, a historical signal characteristic database and a signal basic database are combined, the analyzed signal characteristics are directly sent to a signal analysis dynamic effect evaluation system, the characteristics of the signals are dynamically evaluated, algorithm parameters are correspondingly adjusted according to the returned evaluation results, and even an analysis algorithm is adjusted. The whole process achieves automatic positive feedback circulation until a reliable analysis effect is obtained.
And 8: the signal dynamic analysis effect evaluation system needs to realize the construction of an evaluation parameter system, and in the construction stage, an evaluation index and an evaluation method are constructed for specific wireless signals and corresponding analysis algorithms; in the real-time wireless signal analysis process, data of the wireless signal analysis process are dynamically received at different stages of the wireless signal analysis, dynamic effect evaluation is carried out, an evaluation result is returned in real time, and the wireless signal analysis process is controlled or adjusted.
And step 9: and two three-dimensional wireless signal display, wherein in the analysis process, time profile situation display is carried out, the analysis effect is displayed in real time, and the wireless signal analysis strategy is allowed to change. The wireless signal display is realized by a time domain, a single frequency spectrum, an afterglow covering frequency spectrum, a fluorescence probability frequency spectrum and a waterfall chart frequency spectrum.
The computer platform completes the operation of software and the access of data, consists of a computer, display control and analysis processing software and completes the work of system control, information acquisition, data fusion, local display, data interaction and the like.
The computer platform adopts a dual-core processor, the dominant frequency is larger than 2.7G, the memory is 64G, the capacity of a 1T hard disk and an independent graphic display card, the computer platform is communicated with the detection host through an RJ45100M network interface and is used for operating and controlling the detection host and analyzing signals, complete operation, a friendly interface and effective control can be realized, computer operation control software is developed on a Windows XP platform by adopting VC + +, and the detection host is controlled by utilizing the strong hardware control capability of the VC + +.
Drawings
FIG. 1 is a software module composition block diagram.
Fig. 2 is a system interface diagram.
Fig. 3 is a specific component function of the analysis function of the software.
Fig. 4 is a block diagram of a digitized wireless signal analysis system.
Fig. 5 is a structural diagram of a signal analysis effect co-channel evaluation system.
Detailed Description
The present invention will be described in detail with reference to specific embodiments. The following examples will assist the skilled person in further understanding the present invention.
The technical scheme adopted by the invention is a digital wireless signal analysis system which comprises an interface driving module, a signal analysis processing module, a database module, a signal analysis effect dynamic evaluation module and a human-computer interaction interface module. In the signal analysis process, the automatic dynamic evaluation is carried out through the signal analysis effect dynamic evaluation module, the analysis algorithm is adjusted, and the analysis effect is improved. Meanwhile, the time profile situation of the signal analysis process becomes another innovation point of the system, and the signal analysis effect can be effectively improved by combining a signal analysis effect dynamic evaluation model.
The interface driving module is responsible for communicating with system hardware through Ethernet or directly reading wireless signal data on a computer local or a computer network. The system hardware comprises various wireless signal detection devices, such as a digital wireless audiometric detection system, an Agilent 'black bird' system, an R & S spectrum analyzer, an OSCOR _ Green detection device and the like. The interface driving module adapts to the data formats or communication protocols of various common typical devices by compiling data format conversion, data communication protocols and frame analysis, and realizes the access work of sampling wireless signals at different resolutions. The interface driving module stores the received wireless signal data in a memory for the analysis and processing of subsequent data; the memory is a hard disk memory.
The signal analysis and data processing module is a core algorithm module, responds to the scheduling of the flow control module, and is responsible for carrying out specific analysis and operation on the acquired wireless signal data. The signal analysis and data processing module mainly realizes the following analysis functions: judging and identifying a wireless signal modulation mode, and calculating main modulation parameters; demodulating the wireless signal; calculating and extracting parameters of the hopping spread spectrum signal, such as frequency hopping rate and bandwidth; calculating and extracting characteristics such as power, amplitude, phase and the like in a signal time domain; and (4) calculating and extracting information such as distribution composition, energy and the like in a signal frequency domain. The above functions of the signal analysis and data processing module and information acquisition mainly depend on techniques such as wavelet transformation, fourier transformation, filter algorithms, artificial neural networks, use of databases and comparison, etc. The software also performs acceleration operations with the aid of system hardware, for example, implementing fast fourier transforms in hardware. The software can also work in conjunction with other high-performance computers through a high-speed network interface.
The interface driving module can be connected with the current mainstream signal acquisition equipment, can be expanded through the driving module, can be adapted to and analyze professional non-mainstream signal acquisition equipment, greatly enhances the expandability of the analysis system, and obtains standard signals supported by the signal analysis processing module of the system after the signal format and protocol conversion completed by the interface driving module.
The signal analysis processing module is combined with the basic signal database and the historical signal characteristic database to analyze the acquired wireless signals and find out suspicious signals or hidden abnormalities, and in the analysis process, the signal analysis effect dynamic evaluation module is used for automatically and dynamically evaluating and adjusting the analysis algorithm to improve the analysis effect. The dynamic evaluation of the effect of the combined signal analysis is the core of the system.
The profile situation generation can be carried out on the analysis process according to the time points in the signal analysis process, so that the analysis process can be more effectively evaluated, and the analysis effect can be dynamically improved. The time profile analysis method mainly comprises the steps of dividing signal analysis into different analysis stages, extracting analysis effect evaluation parameters at each stage to form time profile analysis situations, evaluating the analysis effect through a signal analysis effect dynamic evaluation module at different time profiles, and automatically adjusting an analysis algorithm according to evaluation results to achieve better analysis effects.
The database module is used for storing existing signal information, the existing database is compared with the database when a new wireless signal is detected, and alarm information is given when the frequency spectrums of the two signals are obviously different, for example, the frequency spectrums of the detected signal are obviously high power or low power compared with the existing signal in the database in a specific frequency band. Meanwhile, the software also has learning ability, and can store the error-free detected signal into a database for comparison in the next signal detection.
The human-computer interaction interface GUI is responsible for realizing a software interface which is extremely friendly, graphical, dynamic and rich in expressive force, and a user sends a working instruction to the system through the software interface, acquires the working information of the system and watches various atlas analyses and results of signals. The 'strategy-based flow control' unit is a flow control core module of software, is responsible for interaction between the GUI and data, and leads the software to work based on the working strategy input by a user. The figure display driving module uses the digital operation result of the data analysis processing module to generate various novel figure spectrograms, so that a user can observe the operation result more vividly and intuitively. For example, the generated waterfall graph can visually represent the scene of the frequency spectrum changing along with the time. The 'state and analysis result report' module also uses the digital operation result of the data analysis processing module to refine and analyze the data, obtain the conclusion report concerned by the user, and generate the log and report which can be stored.
The computer platform finishes the operation of software and the access of data, consists of a computer, display control and analysis processing software, is an important means of man-machine interaction, and mainly finishes the work of system control, information acquisition, data fusion, local display, data interaction and the like. The computer platform adopts a dual-core processor, the dominant frequency is larger than 2.7G, the memory is 64G, the capacity of a 1T hard disk and an independent graphic display card, the computer platform is communicated with a detection host through an RJ45100M network interface and is used for operating and controlling the detection host and analyzing signals, complete operation, friendly interface and effective control can be realized, computer operation control software is developed on a Windows XP platform by adopting VC + + and control on the detection host by utilizing the strong hardware control capability of VC + +.
As shown in fig. 2, it includes: an analysis tool area; a status display area; a parameter configuration area; a signal display area; a database management area; a data interface area. The specific interface of the software is divided into six working areas: the system comprises an analysis tool area, a state display area, a parameter configuration area, a signal display area, a database management area and a data interface area.
Wherein the analysis tool area displays the main analysis tools of the system in a button manner, comprising: energy analysis tools, signal analysis tools, statistical analysis tools, visual analysis tools. The energy analysis tool comprises a level judgment tool, an electromagnetic spectrum background judgment tool, a noise self-adaptive judgment tool, a user-defined judgment tool and the like; the signal analysis tool mainly comprises a signal correlation judgment tool, a modulation mode identification tool, a spectrum template judgment tool, a spectrum peak judgment tool, an analog signal demodulation tool and the like, and a corresponding analysis tool mode can be entered by clicking a button. As shown in fig. 3.
In the parameter configuration area, parameters of various modes can be input, including: the center frequency point, the scanning range, the resolution bandwidth, the reference point and the like.
The signal display area mainly displays a power spectrum, a signal waveform, a statistical spectrum, a waterfall graph and the like of the signal and is used for visually analyzing the signal, the power spectrum of the signal can be selectively amplified and reduced by clicking with a mouse, and the frequency of the signal can be displayed by clicking.
The working state display area mainly displays various state parameters of the system in the working process, including: the scanning device comprises a central frequency point, a scanning range, a resolution bandwidth, a reference point level, scanning time, scanning times, a frequency point number and the like. And after the suspicious signal is detected, an alarm lamp on the interface flickers, and suspicious signal information is added into the database.
The database management area contains two databases: a background electromagnetic signal database and an audiometric q-database. The basic operations of importing, exporting, adding, deleting, inquiring, modifying and the like of the database data are realized. The database stores the characteristic data of background or signal and original waveform data, and the waveform can be played back.
The interface control area mainly realizes interface control with various detection devices, including network control, protocol module selection, data conversion tools and the like.
The user can select to read in a local binary file or a data stream acquired through a network, the system can perform full-automatic analysis according to a set strategy after the analysis strategy is set, and for data meeting the strategy criterion, software prompts the user on an interface and automatically generates an Excel report form. The user can set certain alarm conditions, such as that the signal power is larger than-90 dBm within the range of 433MHz +/-5 MHz, or a database comparison strategy is adopted. When the read-in signal reaches the set condition or is inconsistent with the data in the database, the system gives an alarm signal.
The system comprises the following specific implementation steps:
step 1: the functions are mainly realized through a driving module, and special driving modules are provided for different acquisition devices, such as a wireless signal detection system, an Agilent 'black bird' system and the like, and if new devices appear, only the driving modules need to be added, so that the expandability of the system is greatly enhanced;
step 2: storing the converted data into a wireless signal storage library as historical data for subsequent analysis or system training, and simultaneously forwarding the data to a wireless signal preprocessing module in real time;
and step 3: wireless signal preprocessing, namely, removing normal wireless signals and noise data by adopting a signal filtering technology based on wireless background signal characteristics, fixed-frequency interference cancellation preprocessing and the like;
and 4, step 4: the method comprises the steps of establishing a time profile situation map according to different signal processing stages, wherein the processing stages comprise a full-band fast scanning stage, an abnormal signal locking stage, an abnormal signal high-resolution acquisition and analysis stage and the like. Each stage is correspondingly fed back to the dynamic effect evaluation system, and analysis parameters or an analysis algorithm are adjusted in time according to the dynamic effect evaluation result, so that the analysis effect of each stage is controllable, and the signal analysis capability is improved overall;
and 5: and in the signal analysis process, signal feature extraction is carried out in real time, the signal feature extraction is carried out in real time and matched with a historical signal feature library, if abnormal signal features are found, an alarm is directly given out, detailed tracking analysis is carried out, and meanwhile, the signal features are added into the historical signal feature library for subsequent analysis and judgment.
Step 6: the signal analysis is carried out according to a preset analysis strategy, because the signal type is complex and is represented by a complex modulation mode, such as digital modulation, frequency hopping technology, address division technology and the like, the frequency spectrum of the signal is complex, different analysis strategies and analysis algorithms are required to be adopted aiming at different signals, the analysis strategies and the analysis algorithms are formulated and designed in the system development process and can be dynamically added and modified, and in the actual analysis process, the analysis strategy is automatically selected or is appointed in advance according to a specific system. The analysis algorithm mainly comprises wavelet transform, Fourier transform, filtering algorithm, neural network algorithm and the like. The algorithm library is adopted for management, on one hand, the algorithm library is updated through manual addition in consideration of expandability and signal complexity, on the other hand, the performance of the self-learning algorithm is continuously improved through self-learning, and in the algorithm improvement process, a dynamic analysis effect evaluation system needs to be combined.
And 7: in the process of signal analysis, energy analysis, frequency spectrum analysis and signal analysis can be selectively carried out according to different signals, in the analysis process, a historical signal characteristic database and a signal basic database are combined, the analyzed signal characteristics are directly sent to a signal analysis dynamic effect evaluation system, the characteristics of the signals are dynamically evaluated, algorithm parameters are correspondingly adjusted according to the returned evaluation results, and even an analysis algorithm is adjusted. The whole process achieves automatic positive feedback circulation until a reliable analysis effect is obtained. Examples of signal analysis: such as energy detection method, according to the formula L (R) ═ L (R) for frequency hopping signals0)+10nlog10(R/R0) A path loss calculation was performed where R0 is the reference distance, chosen to be 1m under indoor propagation conditions. L (R)0) Representing the path loss at the reference distance, is usually measured and experimentally demonstrated for the L (R) of a 2.4GHz signal0) About 30dB, whichAnd n is a loss index which is a parameter changing with the environment, and n is 3 according to the situation. And is provided with
In the calculation, f is 2.4G and λ is 0.125m so that the attenuation of the signal at 100m from the signal source is:
L(R)＝L(R0)+10nlog10(R/R0)＝30+10×3×log10100＝90dBm；
then, the signal strength at a distance of 100m from the signal source is
20dBm-90dBm＝-70dBm
From the above analysis, it can be concluded that the energy detection method can detect the frequency hopping signal, but is limited by the intermediate frequency bandwidth and the scanning speed.
And 8: the signal dynamic analysis effect evaluation system needs to realize the construction of an evaluation parameter system, and in the construction stage, an evaluation index and an evaluation method are constructed according to a corresponding analysis algorithm and specific signals; in the real-time signal analysis process, data of the signal analysis process is dynamically received at different stages (time profiles) of the signal analysis, dynamic effect evaluation is carried out, an evaluation result is returned in real time, and the signal analysis process is controlled or adjusted, such as different analysis algorithms are selected, analysis parameters are adjusted, and the like.
And step 9: and two-dimensional signal display, wherein in the analysis process, time section situation display is carried out, the analysis effect is displayed in real time, and people are allowed to change the signal analysis strategy in a loop. The signal display is realized by a time domain, a single frequency spectrum, an afterglow covering frequency spectrum, a fluorescence probability frequency spectrum and a waterfall diagram frequency spectrum.
The foregoing description of specific embodiments of the present invention has been presented.
Claims (8)
1. Digital wireless signal analysis system, its characterized in that: the system consists of an interface driving module, a signal analysis processing module, a database module, a signal analysis effect dynamic evaluation module and a human-computer interaction interface module;
the interface driving module is responsible for communicating with system hardware through Ethernet, or directly reading wireless signal data on computer local or computer network; the interface driving module stores the received wireless signal data in a memory for the analysis and processing of the subsequent data of the signal analysis and processing module; the signal analysis processing module is combined with the basic signal database module and the historical signal characteristic database to analyze the acquired wireless signals and find out suspicious signals or hidden abnormalities, and in the analysis process, the signal analysis effect dynamic evaluation module is used for automatically and dynamically evaluating and adjusting an analysis algorithm to improve the analysis effect; sending a working instruction to the system through a software interface of the human-computer interaction interface module, acquiring system working information, and viewing various map analyses and results of the signal; the database module is used for storing the existing signal information.
2. The digitized wireless signal analysis system of claim 1 wherein: the signal analysis and data processing module is a core algorithm module; the realized analysis functions are as follows: judging and identifying a wireless signal modulation mode, calculating a modulation parameter, and demodulating a wireless signal; calculating and extracting parameters of the hopping spread spectrum signal; calculating and extracting the characteristics of power, amplitude and phase in a signal time domain; and calculating and extracting distribution composition and energy information in a signal frequency domain.
3. The digitized wireless signal analysis system of claim 1, wherein: the wireless signal acquisition equipment is accessed through the interface driving module, the expansion is carried out through the interface driving module, the professional non-mainstream acquisition equipment can be adapted and analyzed, and standard signals supported by the signal analysis processing module are obtained after the signal format and protocol conversion completed by the interface driving module.
4. The digitized wireless signal analysis system of claim 1, wherein: in the signal analysis process, profile situation generation, namely a time profile analysis method, is carried out on the analysis process according to the time points; the time profile analysis method comprises the following steps of dividing signal analysis into different analysis stages, extracting analysis effect evaluation parameters in each stage to form time profile analysis situation, evaluating the analysis effect through a signal analysis effect dynamic evaluation module in different time profiles, and automatically adjusting an analysis algorithm according to the evaluation result to achieve better analysis effect.
5. The digitized wireless signal analysis system of claim 1, wherein: the man-machine interaction interface module uses the digital operation result of the data analysis processing module to generate various graph spectrograms and visually observe the operation result.
6. The digitized wireless signal analysis system of claim 1, wherein: the memory is a hard disk memory.
7. The digitized wireless signal analysis system of claim 1 wherein: the system comprises the following specific implementation steps:
step 1: accessing signals of different acquisition devices and performing format conversion;
step 2: storing the converted data into a wireless signal storage library as historical data for subsequent analysis or system training, and simultaneously forwarding the data to a wireless signal preprocessing module in real time;
and step 3: the wireless signal preprocessing module adopts a signal filtering technology based on wireless background signal characteristics to remove normal wireless signals and noise data, and performs fixed-frequency interference cancellation preprocessing and the like;
and 4, step 4: after the wireless signal preprocessing module carries out preprocessing, a time profile situation map is established according to different processing stages of wireless signals, wherein the processing stages comprise a full-band fast scanning stage, an abnormal signal locking stage and an abnormal signal high-resolution acquisition and analysis stage; each stage is correspondingly fed back to the dynamic effect evaluation system, and analysis parameters or an analysis algorithm are adjusted in time according to the dynamic effect evaluation result, so that the analysis effect of each stage is controllable, and the signal analysis capability is improved;
and 5: extracting wireless signal characteristics in real time in the signal analysis process, matching the wireless signal characteristics with a historical wireless signal characteristic library in real time, directly alarming and carrying out detailed tracking analysis if abnormal wireless signal characteristics are found, and adding the wireless signal characteristics into the historical wireless signal characteristic library for subsequent analysis and judgment;
step 6: the method comprises the steps that wireless signals are analyzed according to a preset analysis strategy, different analysis strategies and analysis algorithms need to be adopted for different signals, the analysis strategies and the analysis algorithms are formulated and designed in the system development process, and can be dynamically added and modified; in the actual analysis process, an analysis strategy is automatically selected or is specified in advance according to a specific system, and an algorithm library is adopted for management;
and 7: in the process of signal analysis, energy analysis, frequency spectrum analysis and signal analysis can be selectively carried out according to different signals, in the analysis process, the analyzed signal characteristics are directly sent to a signal analysis dynamic effect evaluation system by combining a historical signal characteristic database and a signal basic database, the characteristics of the signals are dynamically evaluated, algorithm parameters are correspondingly adjusted according to the returned evaluation results, and even an analysis algorithm is adjusted; the whole process achieves automatic positive feedback circulation until a reliable analysis effect is obtained;
and 8: the signal dynamic analysis effect evaluation system needs to realize the construction of an evaluation parameter system, and in the construction stage, an evaluation index and an evaluation method are constructed for specific wireless signals and corresponding analysis algorithms; in the real-time wireless signal analysis process, dynamically receiving data of the wireless signal analysis process at different stages of the wireless signal analysis, carrying out dynamic effect evaluation, returning an evaluation result in real time, and controlling or adjusting the wireless signal analysis process;
and step 9: displaying the three-dimensional wireless signals, wherein in the analysis process, the time profile situation is displayed, the analysis effect is displayed in real time, and the wireless signal analysis strategy is allowed to change; the wireless signal display is realized by a time domain, a single frequency spectrum, an afterglow covering frequency spectrum, a fluorescence probability frequency spectrum and a waterfall chart frequency spectrum.
8. The digitized wireless signal analysis system of claim 1, wherein: the computer platform completes the operation of software and the access of data, consists of a computer, display control and analysis processing software and completes the system control, information acquisition, data fusion, local display and data interaction work.
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