2048 results about "Intermediate frequency" patented technology

A method for retrieving tropospheric wet delay and atmospheric water vapor content over polar sea ice with TDS-1 satellite grazing angle spaceborne GNSS-R is provided, including: Si, obtaining TDS-1 GNSS-R raw intermediate frequency signal data, VMF3 grid data, GPT3 grid data and ERA5 data; S2, correcting an error of tropospheric wet delay estimation of grazing angle spaceborne GNSS-R; S3, constructing a grazing angle spaceborne GNSS-R tropospheric wet delay estimation model; S4, calculating grazing angle spaceborne GNSS-R ZWD; S5, calculating a Tm value of a target point based on GPT3 model, substituting the Tm value into a conversion factor II, and combining calculated GNSS-R ZWD to obtain a GNSS-R IWV estimated value; and S6, verifying inversion performance of GNSS-R ZWD and integrated water vapor (IWV) by using reference data.

The invention provides a lithium battery internal short circuit fault intelligent detection method based on electrochemical impedance spectroscopy. According to the system, battery data are obtained through electrochemical impedance spectroscopy testing, and innovative feature extraction is carried out. The core technology is to extract four key features from a Nyquist graph: a minimum value point of an intermediate frequency region, a straight slope of a low frequency region, a radius of a circle of a high frequency region and an intersection point of the high frequency region and a real part axis. The characteristics effectively characterize the short circuit state in the battery. And the system inputs the extracted features into a long short-term memory (LSTM) network deep learning model to realize accurate identification and classification of the internal short circuit fault. The model is deployed in a cloud after being trained, and monitors the battery state in real time and performs graded early warning. According to the invention, the accuracy and efficiency of short-circuit fault detection in the lithium ion battery are obviously improved, and powerful support is provided for battery safety management of an electric vehicle and an energy storage system.

Provided is a detection method of spaceborne GNSS-R original intermediate frequency coherent reflection signals in ocean, polar and inland water areas, including: acquiring spaceborne GNSS-R original intermediate frequency signal data of TDS-1 or CYGNSS and preprocessing the data; selecting coherent detection feature engineering; setting data labels of different scenes and coherent and incoherent reflected signals; dividing a training set and a test set; and training and testing a multimode-oriented hybrid model for coherent and incoherent detection and classification of spaceborne GNSS-R signals, using the training set to train a model, applying a trained detection model to a test data set, and comparing and evaluating obtained detection results with a classical coherent detection algorithm.

The invention relates to the technical field of intermediate frequency furnace sintering temperature control, and discloses a sintering temperature control system of an intermediate frequency furnace. The system comprises a multi-source data acquisition module which is used for acquiring multi-dimensional thermodynamic data, covering temperature distribution, sintering power and heat flow track data in a sintering process in real time; and the temperature field analysis module is used for carrying out dynamic compensation correction processing on the multi-dimensional thermodynamic data, inputting the multi-dimensional thermodynamic data into a sintering analysis processing layer for characteristic modeling, and generating a sintering temperature regulation and control instruction. The sintering analysis processing layer comprises a data preprocessing module and a thermodynamic modeling module, the data preprocessing module performs operation such as temperature interval division and abnormal value elimination on original data, and the thermodynamic modeling module is obtained based on historical data cooperative training. According to the system, through multi-dimensional data acquisition and analysis processing, the sintering temperature can be accurately regulated and controlled, the quality of sintered products and the production efficiency are effectively improved, and the system has good universality and adaptability.

The invention discloses a frequency hopping signal real-time detection method and system based on FPGA + DSP. The system comprises a time frequency analysis module, a data communication module and a frequency hopping signal detection module. The method comprises the following steps: a time frequency analysis module performs analog-to-digital conversion and digital down-conversion on an intermediate frequency signal received from a radio frequency end, and performs short-time Fourier transform on a zero intermediate frequency signal by adopting a four-pipeline processing mode; the data communication module transmits the frequency spectrum information from the FPGA to the DSP through an SRIO protocol; the frequency hopping signal detection module calculates a dynamic threshold of a current frame signal according to the received frequency spectrum information, and completes preliminary detection of the signal according to a threshold value; and carrying out binarization processing and connected domain marking on the detected frequency spectrum, screening non-frequency hopping signals according to time-frequency information of a connected domain, and packaging and uploading parameter information of the detected frequency hopping signals to an upper computer. The method is simple in algorithm, low in hardware resource requirement and high in detection efficiency, and the feasibility of engineering implementation is improved.

The invention discloses a millimeter wave radar vital sign detection method based on an HHO-CEEMDAM algorithm, and the method comprises the steps: building a millimeter wave radar experiment system, and collecting an intermediate frequency signal of a human body echo; performing data reading and recombination, extracting phase features, and enhancing a target signal through non-coherent accumulation to determine the distance between the chest of the human body and the radar; recovering the phase of the vital sign signal from the incoherent accumulation FFT result by using the linear characteristic of arc tangent demodulation, and performing phase unwrapping and phase difference to obtain optimized phase information; setting a CEEMDAN parameter initialization range and designing a fitness function; a CEEMDAN parameter is optimized by using an HHO algorithm; performing CEEMDAN decomposition by using the optimized parameters, and screening breathing and heartbeat IMF components; and according to the IMF component, obtaining estimated values of the respiratory rate and the heart rate. The method improves the estimation precision of the respiratory rate and the heart rate of the millimeter wave radar in fatigue driving detection.

A millimeter wave radar altimeter structure disclosed by the present invention comprises a shell, the shell is provided with a plurality of functional areas and integrates a plurality of functional units, the functional units comprise a radio frequency unit, an intermediate frequency processing unit and a signal control unit, and the plurality of functional units are compactly arranged in the shell. The radio frequency unit comprises at least one high-power emission chip, the chip is installed on a heat conduction substrate, and the substrate is in contact with the shell to form a heat conduction path. The shell is made of a high-heat-conductivity material, and a plurality of heat dissipation structures are arranged outside the shell, so that the heat dissipation efficiency under natural convection is improved. The heat conduction substrate, the shell material and the heat dissipation structure form a continuous heat dissipation path from the chip to the environment, heat accumulation is effectively restrained, and stable work of the chip is guaranteed. The shell further comprises a sealing structure, a sealed space is formed by a sealing groove, a sealing element, the antenna cover and the packaging cover plate, and environment sealing protection is achieved. The signal control unit is connected with peripheral equipment through an external interface, and the interface supports power supply and data communication of the altimeter.

The invention relates to the technical field of signal analysis, in particular to a GNSS (Global Navigation Satellite System) detection method and system based on machine learning, and the method comprises the steps: receiving a navigation radio-frequency signal containing reality and deception, and carrying out the down-conversion of an RF (Radio Frequency) front end to obtain intermediate-frequency data; gNSS signal capture is completed by searching correlation peaks in frequency and code phases based on intermediate frequency data; in the capturing stage, a motion state, a correlation peak number, a noise value, capturing parameters and peak + / -1 chip sampling features are extracted and input into a machine learning classification model to judge whether cheating exists or not; if so, separating the deception signal from the real signal, and respectively sending the deception signal and the real signal into independent tracking channels; measuring an array element carrier relative phase by an array antenna, establishing a phase center model, and correcting to obtain an effective phase center and a differential baseline; according to the method, a deception azimuth angle and a pitch angle are obtained, a beam weight is calculated, a deception direction is subjected to null setting, a real direction is subjected to main lobe protection, and a weight value is fed back in real time to improve a signal carrier-to-noise ratio and locking stability. According to the invention, the problem that the existing commercial GNSS signal is low in power and easy to be interfered by deception is solved.

The invention relates to an unmanned aerial vehicle RemoteID signal detection, demodulation and analysis system and method, an upper computer sends a task instruction to a central control module through a network module to carry out radio frequency data acquisition, the central control module controls a radio frequency receiving module to acquire an electromagnetic wave signal of a specified frequency band in an airspace environment, and the electromagnetic wave signal is transmitted to the central control module; carrying out low-noise amplification and filtering processing on the electromagnetic wave signal of the specified frequency band; iQ data acquisition is carried out, wherein an intermediate frequency acquisition module acquires signals and carries out frequency mixing, filtering and AD sampling processing; inputting the acquired IQ data into a baseband data processing module, and performing analysis processing through the baseband data processing module based on an unmanned aerial vehicle RemoteID signal detection algorithm, an unmanned aerial vehicle RemoteID signal demodulation algorithm and an unmanned aerial vehicle RemoteID signal analysis algorithm; and an operation result of the baseband signal processing module is transmitted to an upper computer for display through the network transmission module. Remote and non-standard frequency band Remote ID signal supervision and analysis can be realized, the system stability is high, and the algorithm detection, demodulation and analysis accuracy is high.

The invention discloses a high-throughput satellite communication terminal system, which comprises a radio frequency channel unit, a signal processing unit, a terminal processing unit, a power supply management unit and an anti-electromagnetic interference module, and is characterized in that the radio frequency channel unit carries an agile device and a power amplifier and is used for realizing bidirectional conversion between a baseband signal and a radio frequency signal; communication frequencies of a Ka frequency band, a valley value of 5GHz and a peak value of 40GHz are supported, a zero intermediate frequency receiver structure is adopted, image frequency interference is eliminated through one-time frequency conversion to a baseband, and a high-integration design that a radio frequency signal directly enters a frequency mixer after passing through an antenna, a radio frequency filter and a low-noise amplifier is realized. According to the high-throughput satellite communication terminal system, the coverage problem of traditional communication in a blind area of a power grid is solved, safe, efficient and stable transmission of power data is realized, the emergency communication capability and the equipment environment adaptability are remarkably improved, and key technical support is provided for constructing global visual monitoring and intelligent scheduling of the digital power grid.

The invention relates to the technical field of time sequence data processing, in particular to a drainage basin flood process automatic deduction method based on time sequence analysis, which comprises the following steps: obtaining drainage basin historical hydrological data, processing by applying adaptive wavelet transform, and extracting an intermediate frequency wavelet feature sequence and a transform residual sequence as data features; establishing a first calculation model, and generating a first predicted water level sequence; obtaining an error sequence based on the first predicted water level sequence and the actual water level sequence; constructing a second calculation model by using the data features and the rainfall data, and fitting the error sequence by using the second calculation model to obtain a prediction error sequence; performing weighted fusion on the first predicted water level sequence, the predicted error sequence and the rainfall sequence to generate a second predicted water level sequence; and combining the second predicted water level sequence with a hydrodynamic numerical calculation model, and obtaining predicted data through flow field calculation and analysis. According to the method, high-precision automatic deduction is realized through automatic processing and hybrid modeling.

The invention discloses a method and a system for capturing an ultra-wideband navigation signal of a low-orbit satellite, which are used for solving the technical problem that the existing method for capturing the ultra-wideband navigation signal of the low-orbit satellite is easy to cause that the signal cannot be locked, and finally the capturing success rate is low. The method comprises the following steps: acquiring ka-band low-orbit satellite signals and low-orbit satellite pseudo-random noise codes corresponding to a plurality of low-orbit satellite ultra-wideband navigation signals; generating a complex signal and an original intermediate-frequency signal according to a preset sampling rate, preset skipping time and the ka-band low-orbit satellite signal; constructing a pseudo-code spectrum library based on the pseudo-random noise codes of the low-orbit satellites, and outputting the pseudo-code spectrum library; determining a discrete frequency search sequence based on known intermediate frequency parameters of the original intermediate frequency signal, performing matrix construction in combination with the complex signal and the pseudo code spectrum library, and outputting a three-dimensional result matrix; and capturing and judging the ultra-wideband navigation signals of the low-orbit satellites by adopting the three-dimensional result matrix, and determining a plurality of successfully captured ultra-wideband navigation signals of the low-orbit satellites.

The invention discloses a lithium battery solid electrolyte interface film forming quality evaluation method. The method comprises the following steps: in a lithium battery formation stage or a circulation process, applying an alternating current disturbance signal with an amplitude of 1-20mV, and collecting full-band electrochemical impedance spectroscopy data in real time; a relaxation time distribution method is adopted to decouple the electrochemical impedance spectrum of the intermediate frequency region; constructing an equivalent circuit model containing SEI film characteristics, and fitting the decoupled electrochemical impedance spectrum curve by the equivalent circuit model; the compactness index of the SEI film is calculated according to the SEI film resistance and the film capacitance, and whether the compactness of the SEI film reaches the standard or not is judged according to the compactness index; and calculating a lithium ion diffusion coefficient by combining the charge transfer resistance and the Warburg diffusion impedance, and evaluating the SEI membrane ion transmission efficiency. According to the invention, non-destructive monitoring is supported, quantitative evaluation of SEI membrane compactness, ionic conductivity and short circuit faults in the module can be realized, and the cycle life and safety of the lithium battery are improved.

The invention relates to the technical field of communication technologies and navigation systems, and discloses a multi-channel narrowband data link comprehensive processing module, which comprises a radio frequency transceiver module which comprises a radio frequency transceiver and is used for converting a received radio frequency signal into a baseband signal and converting the baseband signal into a radio frequency signal; the analog channelization module is connected with the radio frequency receiving and transmitting module and used for receiving the baseband signals converted by the radio frequency receiving and transmitting module, carrying out preliminary channel division on the signals and dividing the signals into a plurality of frequency band signals; and the digital channelization processing module is connected with the analog channelization module and is used for carrying out digital processing on the signal after analog channelization. By adopting a zero intermediate frequency architecture, a multi-stage channelization design, cooperative work of the FPGA and the SOC, precise clock synchronization and an anti-interference technology, the multi-channel signal processing precision and the system stability are improved, and meanwhile, the power consumption and the hardware complexity are reduced.

The invention relates to the technical field of wireless communication, and discloses a millimeter wave backscatter communication positioning and identification system for multiple tags, which comprises a Chirp signal sending module used for generating and transmitting continuous Chirp signals and receiving signals reflected by customized backscatter tags; and the received signal processing module is used for carrying out demodulation and frequency analysis on the received radar echo signal, determining the distance of the target backscattering tag by measuring the frequency offset of the intermediate frequency signal, and determining the azimuth of the tag through the antenna array of the receiving module. The identity label of the backscattering label is extracted by analyzing the signal intensity; the customized backscattering label is used for adjusting the intensity of the signal reflected back to the radar by changing the reflection state of the backscattering label so as to transmit the identity label of the backscattering label; and the DSSS coding module is used for coding the identity label of the backscattering label so as to increase the signal bandwidth and reduce the signal interference between the labels. According to the method, the customized backscattering tag is matched with the FMCW radar, so that positioning and identification of multiple tags are realized, and the method has a wide application prospect.

The invention belongs to the technical field of intermediate frequency furnace supervision, and particularly relates to an intermediate frequency furnace cooling abnormity alarm system based on online monitoring analysis, which comprises an intermediate frequency furnace monitoring unit, a cooling analysis output unit, a cooling abnormity alarm unit, an alarm adaptive control unit and a remote monitoring center, the cooling system of the intermediate frequency furnace is monitored through the intermediate frequency furnace monitoring unit, the cooling analysis output unit carries out cooling abnormity judgment based on cooling monitoring data, and an alarm is given out through the cooling abnormity alarm unit when a cooling abnormity alarm signal is generated. The alarm self-adaptive control unit performs self-adaptive control on the alarm volume of the cooling abnormity alarm unit to realize timely and effective alarm of cooling abnormity of the intermediate frequency furnace, and analyzes the alarm normalization of the cooling abnormity alarm unit. And when the alarm non-standard signal is generated, the cooling abnormity alarm unit is checked and maintained, and subsequent monitoring management is enhanced, so that the alarm timeliness and the alarm effect of the cooling abnormity alarm unit are ensured.

The invention discloses a millimeter wave detector suitable for a short-distance moving target. The millimeter wave detector comprises a millimeter wave front end and an intermediate frequency signal processing unit, wherein the intermediate frequency signal processing unit comprises a low-pass filtering and amplifying circuit which is used for realizing low-pass filtering of a first preset frequency; comprising a detection circuit which is used for outputting an envelope signal of a second preset frequency and filtering a triangular wave signal of a third preset frequency; the band-pass filtering and amplifying circuit is used for realizing band-pass filtering between a fourth preset frequency and a fifth preset frequency; and the signal peak threshold judgment circuit is used for judging whether a detection target appears in a distance range needing to be detected or not according to the signal output by the band-pass filtering and amplifying circuit. The millimeter wave detector suitable for the short-distance moving target has the beneficial effect that the short-distance target detection sensitivity can be effectively improved.

The invention discloses a millimeter wave signal phase noise testing method based on ultra-stable laser, and the method comprises the steps: generating the ultra-stable laser through employing a common-cavity Brillouin laser frequency stabilization technology, taking the ultra-stable laser as a carrier wave, and carrying out the double-sideband modulation of a to-be-tested millimeter wave signal; frequency shifts of the two sidebands are different, the sideband with high frequency has more downward frequency shifts, the sideband with low frequency has less downward frequency shifts, the generated common-cavity Brillouin laser and the double-optical-sideband pumping laser are coupled and separated to obtain upper and lower double-sideband optical signals with different frequency intervals, and then beat frequency and mixing frequency are performed to generate an intermediate frequency signal with MHz magnitude; the noise characteristic of the intermediate frequency signal directly carries the phase noise of the to-be-tested signal, and the phase noise analyzer carries out noise spectrum density analysis and quantitative evaluation on the intermediate frequency signal to complete the phase noise test of the to-be-tested millimeter wave signal. The collaborative optimization problem that the reference source stability, the system noise and the to-be-tested signal noise are difficult to separate in the ultrahigh frequency signal noise test is solved.

The invention provides an adaptive ultra-wideband space-time digital beam forming method and system based on a multi-term filter. The system comprises an FPGA chip module and an AD / DA conversion module, the FPGA chip module is connected with the AD / DA conversion module and is used for forming a wave beam and sending wave beam data to the AD / DA conversion module, generating an intermediate frequency broadband signal and transmitting the intermediate frequency broadband signal to a subsequent circuit; the AD / DA conversion module is used for inputting the intermediate frequency signal subjected to AD sampling into the FPGA chip module and receiving beam data; a multi-term filter structure is adopted, the signal bandwidth is effectively reduced through the time delay function preposition and multi-phase filter combined technology, the time domain ultra-wideband beam forming function is efficiently achieved, and the time domain ultra-wideband beam forming device can be widely applied to radar wideband digital beam forming, microphone arrays, sonar arrays and other systems.

The invention relates to a DBF + LFMCW system zero intermediate frequency radar amplitude-phase high-precision closed-loop near-field calibration system and method. The method comprises the following steps: generating a test signal through a target echo simulator; a test signal is connected to a darkroom probe and is aligned with a certain receiving antenna of the radar, the radar equipment assembly receives the signal and mixes the signal with an internal local oscillator signal to obtain a zero intermediate frequency signal received by the channel, and meanwhile, the amplitude and the phase of the zero intermediate frequency signal are periodically collected and output to a terminal interface; a darkroom probe is controlled to be sequentially aligned with 1-N channels of a radar receiving antenna, zero intermediate frequency signals of each channel are collected and stored, recorded zero intermediate frequency data of all the channels are processed through a channel amplitude phase correction algorithm, and accurate correction of each channel is achieved. According to the invention, the baseband I / Q signals are directly collected and processed, so that accurate compensation of I / Q amplitude-phase inherent errors of each channel caused by DC offset, processing technology and the like can be realized.

Implementations of a method of detecting a plurality of radio pulses may include, using at least one signal processor: pre-processing a wideband intermediate frequency signal to form a channelized segment from a software defined radio; performing coherent single-pulse correlation using a spectrogram of the channelized segment; and performing multi-pulse combining with the spectrogram, and determining whether a pulse train including a plurality of radio pulses from a desired pulsed radio signal may be present in the spectrogram.

The invention provides a chirp modulation-based downlink wake-up receiver implementation method and system, and the method comprises the steps: S1, transmitting a preset wake-up frame to achieve the synchronization with terminal equipment before a transmitter of a wake-up receiver transmits a data frame, the wake-up frame comprises a pure carrier of a preset frequency, a lead code, and a terminal device address sequence and a data sequence based on Manchester encoding; s2, the transmitter generates a baseband signal conforming to a radio frequency front-end mode of the receiver through the wake-up frame, and the baseband signal is subjected to up-conversion and then transmitted in a 433MHz frequency band; and S3, the terminal equipment monitors a channel at any time, demodulates the wake-up frame through envelope detection and intermediate frequency amplification, demodulates a data frame, and finally synchronously sends a wake-up signal and data obtained through demodulation to a post-stage circuit. According to the invention, by designing the wake-up sequence and manufacturing the wake-up circuit, asynchronous wake-up with ultra-low power consumption is realized for the Internet of Things terminal equipment.

The invention relates to a dynamic gesture recognition method for a multi-feature fusion network under complex scene interference, and the method comprises the steps: obtaining a baseband intermediate frequency signal, carrying out the processing of the baseband intermediate frequency signal, and obtaining a distance-time diagram and a Doppler-time diagram; inputting the distance-time graph and the Doppler-time graph into a gesture recognition model to obtain a gesture recognition result; the gesture recognition model is obtained by training a lightweight neural network model by using a training set; and extracting space displacement features and gesture speed change information of the distance-time chart and the Doppler-time chart based on a DSCC module in the gesture recognition model, obtaining a feature map, combining the feature map with position codes, inputting the feature map into a Transform module for global feature extraction, and obtaining a gesture recognition result. According to the method, through extraction and fusion of multiple features, the distance, speed and time information of the target gesture is expressed more comprehensively, and the richness and expression ability of the gesture features in a complex scene are improved.

The invention discloses a smelting process monitoring system of a medium-frequency electric furnace and a process guidance method of the smelting process monitoring system. The system comprises an edge acquisition terminal and a cloud platform, the edge acquisition terminal comprises an intermediate frequency voltage transmitter used for acquiring a voltage signal at the output side of the intermediate frequency electric control cabinet and converting the voltage signal into a first analog signal; the intermediate-frequency current transmitter is used for collecting a current signal at the output side of the intermediate-frequency electric control cabinet and converting the current signal into a second analog signal; the analog quantity conversion module is used for converting the first analog signal and the second analog signal into digital signals; the intelligent thermodetector is used for measuring the temperature of the molten metal in real time and sending temperature data; the cloud platform is used for receiving and processing the digital signal and the temperature data and storing high-frequency sampling data; identifying a smelting stage through an LSTM network; power control is optimized on the basis of a Transform model and a GAN model; and integrating an expert knowledge base and providing process guidance. According to the system, comprehensive digitization and real-time accurate sensing of the smelting process are achieved; and the timeliness and scientificity of decision making are improved.

The invention discloses an analog Doppler frequency shift and arrival angle measuring device and method based on Rydberg atoms, and in the aspect of DFS measurement, the device performs beat frequency on two signals to obtain an intermediate frequency signal frequency which is a DFS value; the device calculates the AOA of the echo signal by measuring the phase difference of the echo signal at two different positions in the cesium gas pool. According to the invention, simultaneous measurement of DFS and AOA can be realized, and the scheme has the advantages of simple structure, stable system, multifunction, anti-interference and the like, and has great application prospects in electronic reconnaissance and countermeasure systems and the like.

The invention relates to the field of satellite ground station electromagnetic environment monitoring, in particular to a full-band satellite ground station electromagnetic environment monitoring system. Comprising a monitoring and direction-finding subsystem and an information processing subsystem, and an omnidirectional real-time monitoring device and a directional high-sensitivity monitoring device receive interference signals through corresponding monitoring antennas and direction-finding antennas and send the received interference signals to corresponding radio frequency receivers. The radio frequency receiver antenna processes the received signal, outputs an intermediate frequency signal, and sends the intermediate frequency signal to a corresponding signal processing unit; the signal processing unit is used for sampling an input signal, then carrying out down-conversion, filtering and extraction preprocessing operation according to a specified frequency, carrying out analysis and monitoring direction finding on preprocessed data, and transmitting monitoring direction finding data to the information processing subsystem; and the information processing subsystem receives monitoring results of the ground stations and performs fusion statistical processing. The method is suitable for satellite ground station electromagnetic environment monitoring.

The invention discloses a control method and device for improving broadband oscillation stability of a grid-forming type converter, solves the problem that the grid-forming type converter generates intermediate frequency oscillation after a virtual inductor is introduced, and belongs to the technical field of power electronic grid-connected equipment control. The method comprises the steps that virtual synchronous control is adopted by a grid-forming converter, a VSG reference voltage amplitude is obtained according to an active and reactive control loop, and a converter output voltage reference value is obtained by combining an alternating current voltage and current double closed loop of a virtual inductor, a current value of a grid-connected line is sampled, and a dq-axis component of grid-connected current under a rotating coordinate system is obtained; a differential item obtained after the dq-axis component of the grid-connected current in the rotating coordinate system is multiplied by the virtual inductance passes through a first-order low-pass filter, a dynamic virtual inductance item of the dq axis in the rotating coordinate system is obtained, the dynamic virtual inductance item is introduced into an alternating-current voltage loop input end in an alternating-current voltage and current double closed loop, and the broadband oscillation stability of the grid-forming type converter is improved.

The invention relates to a multiband radio frequency signal transmitting and receiving method, belongs to the technical field of microwave integrated circuits, and solves the problem that multiband integrated broadband transmitting and receiving are difficult to realize in an existing radio frequency transmitting and receiving mode. The method is divided into a multiband radio frequency signal receiving / transmitting method. The receiving method comprises the following steps of: performing up-conversion on a received radio frequency input signal to a K wave band through first-stage frequency mixing, performing down-conversion on the received radio frequency input signal to an S / C wave band through second-stage frequency mixing, performing down-conversion on the received radio frequency input signal to an L wave band intermediate frequency through third-stage frequency mixing, and generating a first L wave band intermediate frequency output signal; the transmitting method comprises the steps that an obtained second L-band intermediate-frequency output signal is subjected to fourth-stage frequency mixing up-conversion to the S / C band, is subjected to fifth-stage frequency mixing up-conversion to the K band and is subjected to sixth-stage frequency mixing down-conversion to the S / C / X / Ku band, and a radio-frequency output signal is generated; the first-stage frequency mixing up-conversion and the sixth-stage frequency mixing down-conversion are realized by the same bidirectional microwave link working in up-conversion and down-conversion regulation and control states respectively.

The invention discloses a radio frequency closed-loop decoupling device and method, and the device comprises a radio frequency sampling module which collects a radio frequency signal of a resonant cavity and converts the radio frequency signal into an intermediate frequency signal; the preprocessing module is used for converting the intermediate frequency signal into an I-path signal and a Q-path signal; the extended state observation module is used for obtaining an I component estimated value, a Q component estimated value and a corresponding generalized disturbance estimator according to the I-path signal and the Q-path signal; the decoupling control module is used for carrying out proportional control according to the I component estimation value and the Q component estimation value, and taking the generalized disturbance estimation quantity as decoupling compensation quantity for superposition to obtain a baseband signal so as to suppress channel coupling and external disturbance; and the radio frequency driving module is used for converting the baseband signal into a driving signal so as to control the amplitude and the phase of the radio frequency output of the power source. According to the invention, dynamic decoupling of the I signal channel and the Q signal channel is realized, and the stability and the control precision of the output amplitude and the phase of the power source are improved.