A device and method for monitoring the working state of a frequency modulation radio fuze
Through the signal acquisition, processing and data acquisition module, combined with matching filtering and time-frequency analysis, the monitoring problem of FM Fusion signals in a low signal-to-noise ratio and non-stationary environment is solved, and the accurate evaluation of the working state of the fuse is achieved.
Patent Information
- Application Number
- CN202010941664.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-09-09
- Publication Date
- 2025-07-25
- Estimated Expiration
- 2040-09-09
AI Technical Summary
The FM radio fuse signal is in a low signal-to-noise ratio and non-stationary environment, making it difficult to monitor its working state.
The signal acquisition module, signal processing module and data acquisition module are adopted, combined with matching filtering technology and time-frequency analysis method, including high-gain antennas, low-noise amplifiers, spectrum analyzers, GPS time-based boards and high-speed data acquisition cards, to realize signal acquisition, processing and status acquisition.
In low signal-to-noise ratio and non-stationary environments, the frequency modulation fuze signal can be effectively detected and its operating status can be obtained, which is convenient for evaluating fuze performance.
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Figure CN111999710B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to radio fuze technology, and in particular, to a device and method for monitoring the working state of a frequency modulation radio fuze. Background Art
[0002] A fuze is a device that utilizes environmental information, target information, or detonates, ignites, and controls the attitude of ammunition under the premise of ensuring the safety of ammunition during normal times and launch according to preset conditions. To a certain extent, the performance of the fuze directly determines the damage effectiveness of the weapon system. Therefore, during the performance evaluation of the weapon system, it is necessary to monitor the fuze and judge its working state, so as to determine whether the ammunition in the weapon can achieve the expected damage effect.
[0003] With the continuous development of radar technology, radio fuzes have gradually emerged. They mainly work by using information such as the target distance and speed carried by the target echo. Affected by various factors such as the height of burst, antenna parameters, target scattering characteristics, and projectile impact angle, the height of burst has a large dispersion and the ranging ability is limited. A frequency modulation radio fuze is an amplitude-modulated continuous wave radio fuze whose transmitted signal frequency changes according to the modulation signal law. Its height of burst does not depend on the strength of the target's ability to reflect electromagnetic waves, but relies on the frequency of the echo for positioning. Therefore, it has the advantages of high ranging accuracy, reduced height of burst dispersion, high receiver sensitivity, low working voltage, simple structure, and strong anti-interference ability. Based on the above advantages, fuzes of this system are widely used in weapon systems.
[0004] The frequency modulation radio fuze adopts a linear frequency modulation system. Under the condition of the same transmission power, the amplitude and signal-to-noise ratio of the frequency modulation signal are smaller than those of non-modulated fuze signals. For receivers with the same sensitivity, the detection range is reduced more. At the same time, due to interference factors such as fluctuations in the target scattering cross-section, non-uniform fading modulation of the electromagnetic wave transmission channel, and multipath effects during the transmission and scattering of electromagnetic waves, the actually received frequency modulation signal cannot have a constant amplitude. Generally, the amplitude modulation characteristics are described by a multiplicative random noise process. The existence of multiplicative noise destroys the coherence of the signal phase, the signal spectrum is broadened into a region, and the signal-to-noise ratio decreases. Therefore, the frequency modulation fuze signal is in an environment of low signal-to-noise ratio and non-stationarity, making it difficult to monitor the working state of the fuze. Summary of the Invention
[0005] In order to overcome the deficiencies of the prior art, the present invention provides a device and method for monitoring the working state of a frequency modulation radio fuze to solve the problem that it is difficult to monitor the working state of the fuze because the frequency modulation fuze signal is in an environment of low signal-to-noise ratio and non-stationarity.
[0006] The technical solution adopted by the present invention to solve its technical problems is:
[0007] On the one hand,
[0008] A monitoring device for the working state of a frequency modulation radio fuse, comprising:
[0009] A signal acquisition module for acquiring the working signal of the fuse;
[0010] A signal processing module for processing the acquired working signal;
[0011] A data acquisition module for obtaining the parameters of the fuse according to the processed working signal;
[0012] A state acquisition module for obtaining the working state of the fuse by using a matched filtering technique and a time-frequency analysis method according to the parameters of the fuse.
[0013] Furthermore, the signal acquisition module adopts a high-gain antenna;
[0014] The high-gain antenna includes: a tripod for placing the antenna, a dial for marking the adjustment degree of the antenna, a counterweight, a parabolic antenna, and a flange for connecting the counterweight and the parabolic antenna; the tripod is connected to the dial and the flange through a connecting rod.
[0015] Furthermore, the antenna azimuth and elevation angle are adjusted before acquiring the working signal of the fuse.
[0016] Furthermore, the signal processing module includes a low-noise amplifier, and the low-noise amplifier is arranged in the installation groove of the counterweight for enhancing the working signal acquired by the high-gain antenna;
[0017] The signal processing module further includes a spectrum analyzer for converting the enhanced working signal into an intermediate-frequency signal.
[0018] Furthermore, obtaining the working state of the fuse by using a matched filtering technique according to the parameters of the fuse includes:
[0019] The state acquisition module uses a matched filtering technique to perform energy accumulation on the parameters of the fuse to obtain a detectable fuse signal;
[0020] A threshold detection algorithm is used to detect the detectable fuse signal.
[0021] Furthermore, obtaining the working state of the fuse by using a time-frequency analysis method according to the parameters of the fuse includes:
[0022] The state acquisition module uses a short-time Fourier time-frequency analysis method or a Wigner-Ville distribution time-frequency analysis method to obtain the working state of the fuse in real time according to the parameters of the fuse; or,
[0023] When the state acquisition module adopts the wavelet transform time-frequency analysis method, the working state of the fuse is obtained by using the matching filtering technology and the time-frequency analysis method according to the parameters of the fuse.
[0024] Furthermore, it also includes: a GPS time synchronization board for providing accurate timing for the device.
[0025] On the other hand,
[0026] A method for monitoring the working state of a frequency modulation radio fuse includes the following steps:
[0027] Collect the working signal of the fuse;
[0028] Analyze and obtain the working state of the fuse according to the working signal by using the matching filtering technology and the joint time-frequency analysis method.
[0029] Furthermore, a low-noise amplifier is used to enhance the working signal;
[0030] A spectrum analyzer is used to convert the enhanced working signal into an intermediate-frequency signal;
[0031] A high-speed data acquisition card is used to collect the parameters of the intermediate-frequency signal.
[0032] Furthermore, analyzing and obtaining the working state of the fuse according to the working signal by using the matching filtering technology and the joint time-frequency analysis method includes:
[0033] The matching filtering technology is used to perform energy accumulation on the parameters of the fuse to obtain a detectable fuse signal; the threshold detection algorithm is used to detect the detectable fuse signal; and,
[0034] The short-time Fourier time-frequency analysis method or the Wigner-Ville distribution time-frequency analysis method is used to obtain the working state of the fuse in real time according to the parameters of the intermediate-frequency signal, or the wavelet transform time-frequency analysis method is used to obtain the working state of the fuse according to the parameters of the intermediate-frequency signal.
[0035] The present application adopts the above technical solutions and has at least the following beneficial effects:
[0036] The technical solution of the present invention discloses a device and method for monitoring the working state of a frequency modulation radio fuse. First, the signal acquisition module acquires the working signal of the fuse; then the signal processing module processes the acquired working signal; after that, the data acquisition module obtains the parameters of the fuse according to the processed working signal; finally, the state acquisition module obtains the working state of the fuse by using the matched filtering technology and the time-frequency analysis method. This solution solves the problem that it is difficult to monitor the working state of the frequency modulation fuse when the fuse signal is in an environment with low signal-to-noise ratio and non-stationarity. The matched filtering technology is used to detect the fuse signal in an environment with low signal-to-noise ratio; the time-frequency analysis method can obtain the working state of the fuse when the radio fuse works in a non-stationary environment, which is convenient for obtaining the working performance of the fuse. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0038] Figure 1 FIG. is a schematic structural diagram of a device for monitoring the working state of a frequency modulation radio fuse provided by an embodiment of the present invention;
[0039] Figure 2 FIG. is a schematic structural diagram of a specific device for monitoring the working state of a frequency modulation radio fuse provided by an embodiment of the present invention
[0040] Figure 3 FIG. is a schematic structural diagram of a high-gain antenna provided by an embodiment of the present invention;
[0041] Figure 4 FIG. is a schematic diagram of the implementation process of threshold monitoring provided by an embodiment of the present invention;
[0042] Figure 5 FIG. is a flowchart of a method for monitoring the working state of a frequency modulation radio fuse provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0043] To make the objectives, technical solutions, and advantages of the present application clearer, the following will describe the technical solutions of the present invention in detail with reference to the drawings and embodiments. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of them. All other implementation manners obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present application belong to the scope protected by the present application.
[0044] First, the working principle of the radio fuse needs to be introduced. The frequency-modulated radio fuse is an amplitude-modulated continuous-wave radio fuse whose transmitted signal frequency changes according to the modulation signal law. It has the advantages of no distance blind area, easy to achieve extremely high range resolution, large signal energy, low working voltage, and simple structure. The frequency of the transmitted signal in the frequency-modulation system is a function of time. During the propagation time from the fuse transmitting the radio signal to encountering the target and then returning, the transmitted signal has changed, resulting in a difference between the frequency of the echo signal and the frequency of the transmitted signal. The magnitude of the difference between the two is related to the distance between the fuse and the target. By measuring the frequency difference, the distance between the fuse and the target can be obtained. Monitoring the working state of the radio fuse mainly involves monitoring the working duration of the radio fuse and whether the working frequency matches the preset range.
[0045] Referring to Figure 1 , an embodiment of the present invention provides a device for monitoring the working state of a frequency-modulated radio fuse, including:
[0046] A signal acquisition module 110 for acquiring the working signal of the fuse;
[0047] A signal processing module 120 for processing the acquired working signal;
[0048] A data acquisition module 130 for obtaining the parameters of the fuse according to the processed working signal;
[0049] A state acquisition module 140 for obtaining the working state of the fuse by using the matched filtering technique and the time-frequency analysis method according to the parameters of the fuse.
[0050] For the device for monitoring the working state of a frequency-modulated radio fuse provided by the embodiment of the present invention, first, the signal acquisition module acquires the working signal of the fuse; then, the signal processing module processes the acquired working signal; after that, the data acquisition module obtains the parameters of the fuse according to the processed working signal; finally, the state acquisition module obtains the working state of the fuse by using the matched filtering technique and the time-frequency analysis method according to the parameters of the fuse. This solution solves the problem that it is difficult to monitor the working state of the frequency-modulated fuse in an environment with low signal-to-noise ratio and non-stationarity of the fuse signal. The matched filtering technique is used to detect the fuse signal in an environment with low signal-to-noise ratio; the time-frequency analysis method can obtain the working state of the fuse when the radio fuse works in a non-stationary environment, which is convenient for obtaining the working performance of the fuse.
[0051] As a supplementary description of the above embodiment, the present invention also provides a specific device for monitoring the working state of a frequency-modulated radio fuse, as Figure 2 shown, the signal acquisition module uses a high-gain antenna 210;
[0052] As Figure 3As shown, the high-gain antenna includes: a tripod 301 for placing the antenna, a dial 302 for marking the antenna adjustment degree, a counterweight 303, a parabolic antenna 304 and a flange 305 for connecting the counterweight and the parabolic antenna; the tripod is connected to the dial and the flange through a connecting rod 306.
[0053] The signal processing module includes a low noise amplifier 220, which is arranged in the mounting slot of the counterweight block and is used to enhance the working signal collected by the high gain antenna;
[0054] The signal processing module also includes a spectrum analyzer 230, which is used to convert the enhanced working signal into an intermediate frequency signal. In the LabVIEW development environment, there are three programming methods for instruments with a GPIB interface: GPIB module driver, VISA module driver, and specified instrument driver, and the required VI programming can be directly performed. The present invention uses the GPIB module in LabVIEW to program and control the spectrum analyzer, including setting parameters such as the center frequency point, analysis bandwidth, and reference level when the spectrum analyzer is working.
[0055] The data acquisition module adopts a high-speed data acquisition card 240, which is used to obtain the parameters of the fuze according to the intermediate frequency signal obtained through the spectrum analyzer.
[0056] As an optional embodiment of the present invention, a GPS timing board 260 is also included to provide accurate timing for the device. The GPS and B-code timing card used in the embodiment of the present invention is not a product of NI, and there is no corresponding driver in the LabVIEW environment. Therefore, the API interface software of the board is called to re-make a DLL dynamic link library, and the communication with the GPS and B-code timing card is realized through the DLL file.
[0057] The spectrum analyzer is controlled by GPIB card 270, and the GPIB (visa) module in LabVIEW is used to program the spectrum analyzer, including setting the center frequency, analysis bandwidth, reference level and other parameters of the spectrum analyzer, and controlling the spectrum analyzer to realize the function of broadband search and narrowband locking of the monitoring signal, which can effectively improve the receiving distance of the equipment. The signal-to-noise ratio is improved by using matched filtering, and the threshold value is used to achieve reliable detection of the fuze signal. The measurement of the fuze power-on time or the transmitter working time is achieved in combination with the zero time of the weapon system launch, and the fuze signal can be detected in a low signal-to-noise ratio environment. The joint time-frequency analysis processing algorithm is used to well realize the measurement of the time-varying law of the frequency-modulated fuze signal under non-stationary conditions.
[0058] In some alternative embodiments, the status acquisition module 250 is a processing chip with a fixed program stored internally or processing software on a computer. During actual use, first, the status acquisition module uses matched filtering technology to perform energy accumulation on the fuse parameters to obtain detectable fuse signals; then, a threshold detection algorithm is used to detect the detectable fuse signals. Subsequently, any one of the following three time-domain analysis methods is used to process the fuse signals according to the actual situation. First is real-time processing, that is, the short-time Fourier time-frequency analysis method or the Wigner-Ville distribution time-frequency analysis method is used to obtain the working status of the fuse in real time according to the fuse parameters. The processing method of the short-time Fourier time-frequency analysis method has good timeliness and can give the working status in a timely manner, but the accuracy is not accurate. The Wigner-Ville distribution time-frequency analysis method has high requirements for fuse signals. When the fuse signal is a single signal, relatively accurate results can be obtained, but once the fuse signal is not single, no results can be obtained. These two time-domain analysis methods can be used during weapon flight tests. Another time-domain analysis method is post-processing, that is, the wavelet transform time-frequency analysis method is used to obtain the working status of the fuse by using matched filtering technology and time-frequency analysis method according to the fuse parameters. This processing method cannot give the working status in real time and has a certain delay, but the working status given is more accurate. This processing method is generally used after the weapon flight experiment is completed.
[0059] An installation groove is opened in the middle of the counterweight block, and an AC-DC power supply and a low-noise amplifier are installed. The polarization direction of the parabolic antenna is consistent with the direction of the silver-white arrow label on the front of the antenna. During use, the polarization direction of the high-gain antenna can be changed by rotating the parabolic antenna and changing the screwing position of the connecting rod and the waist-shaped hole of the flange. After the signal is received by the antenna, it needs to be amplified by a low-noise amplifier and then enter the spectrum analyzer. The CRP programmable intermediate-frequency output module is used to convert the signal of the fuse working to an intermediate-frequency signal and record the data through a data acquisition card.
[0060] In some embodiments, to increase the working distance of the existing device, the present invention proposes to use a GPIB card to control the spectrum analyzer to achieve the function of broadband search and narrowband locking for monitoring signals. The main process of realizing this function is as follows: First, a relatively large search bandwidth is set to achieve signal capture. When a signal is detected, the MT1 (set cursor auto-tracking function) instruction code is immediately sent to the spectrum analyzer, and then the bandwidth data instruction for narrowband locking is sent. Through the above function, the receiving distance of the device can be effectively increased.
[0061] It should be noted that to ensure that the embodiments of the present invention can complete the monitoring task, when collecting and analyzing monitoring data for a frequency modulation radio fuze, first set up a high-gain antenna at the corresponding test site, and calculate the azimuth and elevation angle of the antenna according to the station layout azimuth before the test. The detection range of the radio fuze signal monitoring is greatly related to the sensitivity of the receiver, but at the same time it is related to the performance of the fuze (radiation power, directivity of the antenna) and the configuration of the monitoring system. Therefore, adjust the azimuth and elevation angle of the antenna before collecting the working signal of the fuze.
[0062] Specifically, let the power radiated by the fuze be P f , the gain of the fuze antenna be G f , the directivity function be F f (ξ), the operating wavelength be λ, the gain of the receiving antenna be G Jr , the directivity function be F Jr (φ), the receiving distance be R Jr . The minimum signal power received by the radio fuze signal monitoring receiver is:
[0063]
[0064] In the formula: γ——polarization coefficient
[0065] ψ——transmission coefficient
[0066] n——reliability coefficient.
[0067] As a preferred implementation mode of the embodiments of the present invention, during the test and identification process of the radio fuze, it is necessary to monitor the power-on time or transmitter working time of the fuze and the dynamic frequency of the radio fuze. The purpose of measuring the time parameters of the radio fuze is to obtain the battery activation time of the fuze or the working time of the fuze transmitter during ballistic flight. The method is to generate a timing start signal when the projectile is launched, and use signal detection means to search for and receive the fuze signal. The time interval from the generation of the timing start signal to the reception of the fuze signal is the power-on time of the fuze transmitter. The time interval from the reception of the fuze signal to the interruption of the fuze signal is the working time of the fuze transmitter. The measurement of the dynamic frequency of the radio fuze is carried out by receiving and analyzing the high-frequency signal when the fuze is working, and is used to judge whether the working state of the high-frequency part of the fuze is normal. In order to realize the monitoring of the frequency modulation radio fuze signal, it is necessary to complete the error-free detection of the fuze signal and estimate the modulation parameters of the fuze signal.
[0068] According to the characteristics of the frequency-modulated radio fuze signal and the requirements of the fuze monitoring indicators, the implementation process of the fuze monitoring method is determined as follows: The matching filtering technology is adopted for energy accumulation, and the presence of the fuze signal is judged by the threshold detection of the signal, and then the monitoring of the power-on time of the radio fuze or the working time of the transmitter is realized. According to the characteristic that the amplitude-frequency characteristic of the frequency-modulated fuze signal is close to a rectangle, the present invention uses the matching filtering technology to improve the signal-to-noise ratio and achieve the purpose of reliable detection of the fuze signal at a long distance. The matching filter is a pulse compression system. By compressing the pulse signal, the pulse width is reduced, thereby increasing the peak power of the pulse, which is beneficial to signal detection. The transmitted signal should have a non-linear phase spectrum and its envelope should be close to a rectangle, and it is required that the frequency characteristics (including amplitude-frequency characteristics and phase-frequency characteristics) of the compression network be completely matched with the spectrum of the transmitted pulse signal (including amplitude spectrum and phase spectrum).
[0069] Among them, in order to achieve the best detection of the fuze signal, the matching filter can be used to maximize the envelope value of the received fuze signal, thereby realizing the threshold detection of the fuze signal. The implementation process is as Figure 4 shown Figure 4 where, u(t): input signal;
[0070] y(t): output signal.
[0071] When the observed waveform passes through the matching filter, at the moment of t = T, the envelope value of the output signal y(t) is the largest, thereby realizing the threshold detection of the frequency-modulated fuze signal.
[0072] Suppose the received signal is:
[0073] x(n) = u(n) + w(n)
[0074] u(n) = Acos{2π(f0t + μt 2 / 2) + θ}
[0075] where, w(n): Gaussian white noise;
[0076] u(n): frequency-modulated signal;
[0077] Initial frequency f0: 5;
[0078] Frequency modulation rate μ: 2;
[0079] Amplitude A: 1;
[0080] Random initial phase θ:
[0081] Using the threshold detection algorithm, calculate the detection probability of the matched filtering algorithm for fuze signals at different signal-to-noise ratios under five cases where the false alarm rates are 0.01, 0.001, 0.0001, 0.00001, and 0.000001 respectively. The matched filtering can complete the detection of fuze signals when the signal-to-noise ratio of the input signal is very small. When the maximum allowable false alarm rate increases, the maximum detectable signal-to-noise ratio further decreases. Therefore, using the matched filtering technology can effectively improve the signal-to-noise ratio of frequency-modulated fuze signals and fully meet the detection requirements of fuze signals at long distances. By detecting the fuze signals and combining the launch zero time, the monitoring of the fuze power-on time or the transmitter working time can be obtained.
[0082] Since the frequency-modulated fuze signal has a large bandwidth and low power, the interception probability of the frequency-modulated fuze signal is reduced, and it is difficult to complete the reliable detection of the signal using methods such as spectrum analysis. The present invention proposes to use the joint time-frequency analysis method to process and complete the monitoring task for the dynamic frequency monitoring of radio fuzes and provide support for the evaluation of the working state of fuzes.
[0083] The mainstream methods of time-frequency analysis include the short-time Fourier transform time-frequency analysis method (Short Time Fourier Transform, abbreviated as STFT), the wavelet transform time-frequency analysis method (Wavelet Transform, abbreviated as WT), and the Wigner-Ville distribution (Wigner Will Distribution, abbreviated as WVD) time-frequency analysis method.
[0084] The STFT time-frequency analysis method is suitable for analyzing piecewise stationary signals or approximately stationary signals. However, for non-stationary signals, when the signal changes violently, a window function with a high time resolution is required; when the waveform changes relatively gently, mainly low-frequency signals, a window function with a high frequency resolution is required. Due to the limitation of the uncertainty criterion for the STFT window function, the time and frequency resolutions of the STFT window function cannot reach the optimal at the same time. Therefore, the window function should be reasonably selected according to the characteristics and requirements of the signal.
[0085] The WT time-frequency analysis method expands the signal into a weighted sum of a family of basis functions, that is, represents or approximates the signal or function with a family of functions. It is the most common time-frequency analysis method with multi-resolution analysis and capable of characterizing the local characteristics of the signal in both the time and frequency domains. It inherits the idea of local transformation of STFT, overcomes the defect that the window function cannot change with frequency, can achieve continuous multi-scale refinement of the signal, and can adaptively perform time-frequency analysis on the signal.
[0086] The WVD time-frequency analysis method can fully reflect the energy distribution structure and relative strength of the signal. However, it can be seen from the expression that there are cross-terms. When the signal components increase, the cross-terms will cause frequency aliasing and interference in the analysis results, affecting the accuracy of signal analysis.
[0087] In the embodiments of the present invention, monitoring and analysis are carried out for a frequency-modulated radio fuse. The collected signals are analyzed and processed afterwards, and it is found that this method can be applied to the extraction of demodulation parameters of the frequency-modulated fuse, but the application situations are different. Among them, the WT analysis has high accuracy, but the algorithm has poor real-time performance and is suitable for high-precision post-mortem analysis; the STFT analysis method has basically acceptable accuracy and good algorithm real-time performance, and is suitable for real-time processing and transmitting the analysis results to the test command center. If you want to improve the accuracy, it is mainly restricted by the optimal selection of the window function; the WVD analysis method can achieve dynamic frequency demodulation under the conditions of low requirements for the accuracy of obtaining demodulation parameters and relatively simple signal components, and can observe the relative strength of the energy distribution. However, when the signal components are complex and the accuracy requirements are high, it is easy to cause frequency aliasing interference, thus affecting the judgment of the fuse state. By using the joint time-frequency analysis method, the state parameters of the fuse during operation can be obtained, and thus whether the fuse is operating normally can be determined.
[0088] In one embodiment, the present invention also provides a method for monitoring the working state of a frequency-modulated radio fuse, including the following steps:
[0089] Collect the working signals of the fuse;
[0090] Analyze and obtain the working state of the fuse according to the working signals by using the matching filtering technology and the joint time-frequency analysis method.
[0091] During the actual monitoring process, it also includes using a low-noise amplifier to enhance the working signals;
[0092] Use a spectrum analyzer to convert the enhanced working signals into intermediate-frequency signals;
[0093] Use a high-speed data acquisition card to collect the parameters of the intermediate-frequency signals.
[0094] As an optional implementation manner of the embodiments of the present invention, analyzing and obtaining the working state of the fuse according to the working signals by using the matching filtering technology and the joint time-frequency analysis method includes:
[0095] First, use the matching filtering technology to perform energy accumulation on the parameters of the fuse to obtain detectable fuse signals; use the threshold detection algorithm to detect the detectable fuse signals;
[0096] Then, use the short-time Fourier time-frequency analysis method or the Wigner-Ville distribution time-frequency analysis method to obtain the working state of the fuse in real time according to the parameters of the intermediate-frequency signals, or,
[0097] The working state of the fuse is obtained according to the parameters of the intermediate frequency signal by using the wavelet transform time-frequency analysis method.
[0098] A method for monitoring the working state of a frequency-modulated radio fuse provided by an embodiment of the present invention can preferably obtain the dynamic frequency parameters of the fuse through a joint time-frequency analysis method; the STFT time-frequency analysis method can demodulate the dynamic frequency of the fuse in real time and quickly, but the window function parameters need to be set artificially according to the complexity of the fuse signal components, and it is mainly applicable to the situation where parameters need to be demodulated and displayed in real time; the WVD time-frequency analysis method can achieve dynamic frequency demodulation when the signal components are relatively single, and can observe the relative strength of the energy distribution, but due to the inherent cross-term problem, frequency aliasing interference is likely to occur, thus affecting the judgment of the fuse state; the WT time-frequency analysis method can adaptively achieve parameter demodulation according to the fuse signal, but the real-time performance is poor, and it is applicable to the situation of high-precision analysis of post-event data processing. In the actual application process, different time-frequency analysis methods need to be selected according to the actual situation to demodulate the parameters of the frequency-modulated radio fuse. Through the above analysis, the present invention can monitor the state and other performance indicators in the working process of the frequency-modulated radio fuse, and provide a basis for the performance evaluation of the frequency-modulated radio fuse.
[0099] It can be understood that the same or similar parts in the above embodiments can be referred to each other, and the content not described in detail in some embodiments can be seen in the same or similar content in other embodiments.
[0100] It should be noted that in the description of the present application, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present application, unless otherwise specified, the meaning of "plurality" refers to at least two.
[0101] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or part of the code including one or more executable instructions for implementing a specific logical function or process, and the scope of the preferred embodiment of the present application includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in a reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the technical field to which the embodiments of the present application belong.
[0102] It should be understood that each part of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
[0103] Those of ordinary skill in the art can understand that all or part of the steps carried by the method of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.
[0104] In addition, in each embodiment of the present application, each functional unit can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0105] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, etc.
[0106] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.
[0107] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.
Claims
1. A monitoring device for the operating state of a frequency modulation radio fuse, characterized in that, Including: A signal acquisition module, configured to acquire the working signal of the fuse; A signal processing module, configured to process the acquired working signal; the signal processing module further includes a GPIB card for controlling a spectrum analyzer, and the GPIB card is used to control the spectrum analyzer to implement a broadband search and narrowband locking function for the monitoring signal. This function includes: first setting a relatively large search bandwidth to achieve signal capture, immediately sending an MT1 instruction code to the spectrum analyzer when a signal is detected, and the MT1 instruction code is used to set the cursor auto-tracking function, and then immediately sending a bandwidth data instruction for narrowband locking; A data acquisition module, configured to obtain the parameters of the fuse according to the processed working signal; A status acquisition module, configured to obtain the working status of the fuse by using a matched filtering technique and a time-frequency analysis method according to the parameters of the fuse; The signal acquisition module uses a high-gain antenna; the high-gain antenna includes: a tripod for placing the antenna, a dial for marking the antenna adjustment degree, a counterweight, a parabolic antenna, and a flange for connecting the counterweight and the parabolic antenna; the tripod is connected to the dial and the flange through a connecting rod; the antenna azimuth and elevation angle are adjusted before acquiring the working signal of the fuse; The obtaining the working status of the fuse by using a matched filtering technique and a time-frequency analysis method according to the parameters of the fuse includes: using a matched filtering technique to perform energy accumulation on the parameters of the fuse to obtain a detectable fuse signal; then using a threshold detection algorithm to detect the detectable fuse signal; and then using a short-time Fourier time-frequency analysis method or a Wigner-Ville distribution time-frequency analysis method for real-time processing, or using a wavelet transform time-frequency analysis method for post-processing.
2. The device according to claim 1, characterized in that: The signal processing module includes a low-noise amplifier, and the low-noise amplifier is arranged in the installation groove of the counterweight and is used to enhance the working signal acquired by the high-gain antenna; The signal processing module further includes a spectrum analyzer, configured to convert the enhanced working signal into an intermediate-frequency signal.
3. The device according to claim 1, wherein Also including: A GPS time synchronization board, configured to provide accurate timing for the device.
4. A method for monitoring the working state of a frequency modulation radio fuse, characterized in that, When applied to the device according to any one of the above claims 1-3, it includes the following steps: Acquire the working signal of the fuse; Use the GPIB card to control the spectrum analyzer to perform broadband search and narrowband locking processing on the working signal. This processing includes: first setting a relatively large search bandwidth to achieve signal capture, immediately sending an MT1 instruction code to the spectrum analyzer when a signal is detected, and then immediately sending a bandwidth data instruction for narrowband locking; Analyze and obtain the working status of the fuse by using a matched filtering technique and a joint time-frequency analysis method according to the working signal.
5. The method according to claim 4, characterized in that Also including: Use a low-noise amplifier to enhance the working signal; Use a spectrum analyzer to convert the enhanced working signal into an intermediate-frequency signal; Use a high-speed data acquisition card to acquire the parameters of the intermediate-frequency signal.
6. The method according to claim 5, characterized in that: The analyzing and obtaining the working status of the fuse by using a matched filtering technique and a joint time-frequency analysis method according to the working signal includes: The parameters of the fuse are subjected to energy accumulation using a matched filtering technique to obtain a detectable fuse signal; a threshold detection algorithm is used to detect the detectable fuse signal; and, The working state of the fuse is obtained in real time according to the parameters of the intermediate frequency signal by using a short-time Fourier time-frequency analysis method or a Wigner-Ville distribution time-frequency analysis method, or the working state of the fuse is obtained according to the parameters of the intermediate frequency signal by using a wavelet transform time-frequency analysis method.
Citation Information
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