315 results about "Bandwidth (signal processing)" patented technology

The invention belongs to the technical field of signal acquisition and processing, and discloses a low-noise biopotential signal acquisition system and a low-noise biopotential signal processing method. An original bioelectricity signal of a human body is collected through an electrode array, and analog-to-digital conversion is carried out after the signal is processed by a multi-stage self-adaptive filtering and amplifying circuit. A digital signal is sequentially subjected to adaptive wavelet transform denoising and empirical mode decomposition to obtain a multi-level intrinsic mode function set, an intrinsic mode function of a characteristic frequency band is extracted from the multi-level intrinsic mode function set, and the signal is reconstructed. Introducing a dual noise reduction mechanism combining adaptive wavelet transform and empirical mode decomposition; a signal quality real-time evaluation system is established, and system parameters including the gain of a variable gain amplifier and the bandwidth of a dynamic band-pass filter are dynamically adjusted through closed-loop feedback. The self-adaptive optimization of the whole biopotential signal acquisition process is realized, various interferences are effectively inhibited, the signal characteristics are reserved, and the signal-to-noise ratio is remarkably improved.

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

The invention relates to the technical field of data acquisition, in particular to a multi-channel intelligent acquisition-based control and acquisition system, which comprises a signal quality evaluation module, a signal optimization adjustment module, an abnormal signal detection module, a resource scheduling control module, a data synchronization adjustment module and a cloud backup strategy module. According to the invention, by analyzing the amplitude and frequency components of the signal in real time, noise and distortion can be identified and corrected in real time, signal processing is optimized, the accuracy and availability of data are improved, the real-time optimization processing of the signal improves the processing quality of the signal, and the high efficiency of data synchronization and cloud backup is ensured; by dynamically adjusting the synchronous bandwidth and period, data changes can be flexibly responded, the risk of data delay and loss is reduced, intelligent detection and resource scheduling of abnormal signals are achieved, the response speed and maintenance efficiency of the system are improved, and the stability and safety of the whole system are improved through accurate resource allocation and timely maintenance response.

In order to solve the problem that quick response and distortionless recording of ultrahigh-frequency partial discharge signals are difficult to realize when accidental pulses are generated in the prior art, the invention relates to a dual-channel parallel processing architecture for ultrahigh-frequency partial discharge signals, which comprises a signal cloning circuit and a signal processing circuit, the ultrahigh-frequency partial discharge module is used for receiving ultrahigh-frequency partial discharge signals and synchronously outputting the ultrahigh-frequency partial discharge signals as first target signals and second target signals after lossless copying; the low-gain channel circuit is used for performing buffer transmission for maintaining an original bandwidth and a dynamic range on the first target signal to generate a first gain signal; the high-gain channel circuit is used for performing gain amplification on the second target signal to generate a second gain signal; the digital signal processing unit is used for performing synchronous clock control on the low-gain channel circuit and the high-gain channel circuit; and the FPGA chip is integrated in the digital signal processing unit and is used for performing fusion splicing processing on the first gain signal and the second gain signal based on a waveform fusion splicing algorithm and generating a fusion signal.

The invention provides an electroencephalogram signal artifact removing method and device, equipment and a medium, and relates to the technical field of biological signal processing, collected electroencephalogram signal data is processed to obtain an optimal modal number and an optimal bandwidth parameter, and the optimal modal number and the optimal bandwidth parameter are used for conducting self-adaptive variational mode decomposition on the electroencephalogram signal data to obtain a plurality of modal components; then carrying out multi-dimensional feature analysis to obtain a plurality of feature indexes for judging an artifact suspicion mode and an effective mode component; performing short-time Fourier transform on the artifact suspicion mode, and constructing a time-frequency confidence map to guide weighted time-frequency independent component separation on the artifact suspicion mode to obtain an artifact component; suppressing the artifact component to obtain a suppressed independent component, and performing weighted reconstruction and multi-component fusion on the suppressed independent component and the effective modal component based on the time-frequency confidence map to obtain an artifact-removed electroencephalogram signal; and the fidelity, the robustness and the real-time performance of the electroencephalogram signal are improved.

The invention discloses a periodogram and incoming wave direction finding fused multi-unmanned aerial vehicle signal identification method and system, and relates to a signal processing technology, and the method comprises the steps: obtaining to-be-identified signals with time domain aliasing and frequency domain non-aliasing; suppressing the noise of the to-be-identified signal by using an average periodogram method and smooth filtering, and calculating a bottom noise value; according to the calculated bottom noise value, setting a judgment threshold to detect a target unmanned aerial vehicle signal; estimating the start-stop frequency and bandwidth of the detected target unmanned aerial vehicle signal; performing signal separation by using an FIR filter according to the estimated starting and ending frequency and bandwidth; and executing incoming wave lateral direction based on the separated target unmanned aerial vehicle signal so as to complete signal identification. According to the method, unmanned aerial vehicle signal detection is completed through an average periodogram method, unmanned aerial vehicle weak signals which are sparsely distributed in space are further obtained through a direction finding method, and weak signal unmanned aerial vehicles which are far in distance are detected.

The invention relates to the technical field of digital coding, in particular to a multi-bit control system based on digital coding, which comprises a network monitoring module, a coding adjustment module, a signal reconstruction module, a fault-tolerant control module and a signal processing module. According to the invention, by dynamically monitoring key network performance parameters such as bandwidth, delay and error rate, network state change is obtained in real time, and intelligent adjustment is carried out on the basis, so that the system can continuously optimize coding complexity and flexibly adjust signal compression ratio according to network conditions, and signals can be efficiently transmitted in a changeable network environment; when a signal is reconstructed, the system can adjust a decoding mode and correct errors based on real-time data feedback by comparing the difference between the reconstructed signal and a target signal, the decoding accuracy and the signal quality are remarkably improved, the power output of a control signal is optimized by means of execution signal data fed back in real time, and the signal stability is further enhanced.

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 discloses an intelligent seabed energy detection system and method based on visible light communication, and belongs to the technical field of deep sea detection, the detection system comprises a data acquisition system (1) and a visible light communication system (2), the data acquisition system (1) structurally comprises a high-definition camera (11), an underwater sensor (12) and a first analog-to-digital converter ADC (13), the visible light communication system (2) structurally comprises a transmitting end and a receiving end; the detection method comprises the steps of front-end acquisition, signal conversion, signal processing, optical signal transmission and signal restoration. The characteristics of high frequency and large bandwidth of light waves are utilized, the intensity of light is modulated, binary code element signals are converted into optical signals, the optical signals are received through the photoelectric detector for underwater information transmission, efficient and real-time submarine energy monitoring and analysis are achieved, and comprehensive technical support is provided for development and utilization of submarine energy.

The invention relates to the field of radar detection methods, and discloses a microwave photon multiband radar detection method, which comprises the following steps: generating detection signals of multiple bands based on a microwave photon method, transmitting the detection signals to a target, and then carrying out dechirp processing and digital signal processing on target reflection signals to obtain a target detection result. The method specifically comprises the following steps: generating a fundamental frequency signal through a user-defined bit sequence generator, a pulse generator and an electric frequency modulator, adjusting the central wavelength and bandwidth of a signal waveform by the electric frequency modulator, amplifying the power of the fundamental frequency signal by a certain multiple through an electric power amplifier, and modulating by a distributed feedback semiconductor laser, a plurality of sidebands with equivalent power are generated by the spectrum of the optical fiber, a modulated fundamental frequency signal is input into the photoelectric detector through the optical fiber, and then the modulated fundamental frequency signal is amplified by the electric low noise amplifier to generate a multi-band frequency modulation signal. And the multifunctional detection capability of the radar system can be realized.

The invention discloses an offshore wind turbine blade voiceprint characteristic-based time-frequency domain feature extraction method, which relates to the technical field of sound signal processing and comprises the following steps of: acquiring offshore wind turbine blade voiceprint information; noise reduction is carried out on the voiceprint data through a self-adaptive wavelet transform and EMD combined algorithm and Kalman filtering, and a time domain feature is obtained by calculating short-time average energy and a zero-crossing rate; the method comprises the following steps: firstly, carrying out pre-emphasis, framing, windowing, fast Fourier transform, Mel filtering, logarithmic transformation and discrete cosine transform on a voiceprint to extract frequency domain characteristics such as a voiceprint spectrum centroid, a spectrum bandwidth and MFCC, and finally, carrying out time-frequency domain characteristic analysis and extraction by using wavelet transform and STFT to comprehensively describe the time-varying characteristics of a sound signal for voiceprint blade state recognition. Therefore, the accuracy and the stability of the signal are effectively improved, time-frequency domain analysis is carried out during feature extraction, the comprehensiveness and the universality of the voiceprint features of the leaf are effectively improved, and the extracted features improve the accuracy of identifying the state of the leaf.

The invention provides a novel multi-frequency and multi-mode coverage system, and relates to the technical field of mobile communication. Comprising a signal receiver which is provided with a receiving module supporting reception of signals of multiple frequency bands at the same time, and is responsible for receiving and filtering radio frequency signals of different frequency bands, ensuring the purity of the signals, and screening the signals by using a multi-dimensional signal feature self-adaptive dynamic enhancement mechanism; the signal feature analysis module obtains key signal feature information of a corresponding frequency band signal from the received radio frequency signal through the coupler based on a signal energy envelope detection mode; the uplink and downlink signal processing circuit performs signal amplification processing on a specific signal system, a specific signal frequency band and a specific signal bandwidth in a targeted manner according to the characteristic information, and transmits the processed signal to a target area through the signal transmitter, and the signal transmitter comprises a transmitting module supporting transmission of signals of a plurality of frequency bands. Signals are transmitted for different frequency bands through the passive antenna, and filtering processing is carried out before transmission, so that full-frequency-band coverage is realized.

The invention provides a frequency spectrum splicing method and device, equipment, a storage medium and a program product, and is applied to the technical field of signal processing. The method comprises the following steps: determining a target number of analog-to-digital converters according to a target sampling bandwidth and a sampling rate of a single analog-to-digital converter, and collecting initial broadband signals by adopting the analog-to-digital converters with the target number in different frequency bands; dividing the frequency spectrum of the initial broadband signal into a plurality of sub-bands, and performing target processing on the sampling rate of each sub-band in the plurality of sub-bands to obtain a target sampling rate; performing fast Fourier transform processing on the target sampling rate based on fast Fourier transform points to obtain frequency domain data; performing frequency spectrum splicing on the frequency domain data to obtain a target frequency spectrum; wherein the target processing comprises the steps of sequentially carrying out time domain filtering processing, and adjusting the sampling rate through decimation filtering or interpolation filtering according to the target frequency resolution.

The invention provides a synchronization signal processing method and an artificial intelligence chip. The synchronization signal processing method comprises the following steps: receiving a synchronization signal reading request with a prompt sign sent by a first processing core; confirming that the synchronization signal reading request is a synchronization operation according to the prompt sign; determining that storage addresses in an effective state exist, and determining whether a target storage address matched with the target program segment identifier and the target synchronous address identifier exists in the storage addresses in the effective state; if the target storage address exists, when the synchronization value in the target storage address is the same as the target synchronization value, returning a synchronization success message to the first processing core, and adjusting readable times in the target storage address; the time spent on reading the synchronizing signal is greatly shortened, the time is saved, the delay is reduced, and the processing efficiency of the processing core is improved; moreover, the bandwidth can be saved, the bandwidth waste is avoided, and the working efficiency of the whole system is improved.

The invention relates to the technical field of indoor positioning, in particular to a millimeter wave CSI (Channel State Information) indoor positioning method and system based on a generative adversarial network, and millimeter waves are large in bandwidth, narrow in beam, high in time resolution and space angle resolution and capable of reducing the influence of a multipath effect. Position estimation is directly obtained from CSI data directly obtained in the millimeter wave communication process, complex signal processing and filtering steps of obtaining other parameters from CSI are avoided, and the system calculation complexity is greatly reduced. The information of the AP position is extracted from the high-dimensional observation vector by using the generative adversarial network, so that complex positioning algorithms such as Kalman filtering or graph optimization are avoided, and the calculation complexity is reduced; according to the method, AP position estimation is obtained through confrontation training of the generator and the discriminator, position coordinates of reference points do not need to serve as labels, input data are all label-free data, dependence on marked data is avoided, and prior knowledge such as the AP or the reference points is not needed.

The cognitive communication system comprises a spectrum sensing unit, an intelligent cognitive communication decision module, a reconfigurable optical local oscillator generation module, a digital signal processing module, a cognitive communication receiving end and a cognitive communication transmitting end. The cognitive communication receiving end comprises a communication receiving radio frequency processing module, a photon radio frequency communication receiving module and a communication receiving intermediate frequency processing module; the cognitive communication transmitting end comprises a communication transmitting radio frequency processing module, a photon radio frequency communication transmitting module and a communication transmitting intermediate frequency processing module; the photon radio frequency communication receiving module converts a radio frequency signal into an optical carrier wave through optical carrier wave modulation, and down-converts the optical carrier wave into an intermediate frequency by using a reconfigurable optical local oscillator signal; the photon radio frequency communication transmitting module converts an intermediate frequency signal into an optical carrier through optical carrier modulation, and performs up-conversion to a radio frequency by using a reconfigurable optical local oscillator signal. According to the invention, through deep fusion of the photon technology and cognitive communication, the bandwidth, flexibility, anti-interference capability and dynamic reconstruction capability of the system are significantly improved.

The invention belongs to the technical field of machining, and particularly relates to an ultrasonic internal broaching broach vibration mode design and control method, which comprises the following steps: firstly, based on a modal isolation structure design method, accurately designing axial and radial vibration modes of a broach so as to meet the requirements of high-precision and high-efficiency broaching machining; a signal processing method based on filtering driving is provided, a designed target vibration mode is accurately driven, the problem that the vibration mode bandwidth of PZT changes along with working conditions such as temperature is solved, finally, due to the fact that the broach frequency vibration mode drifts along with working condition changes in practical application, a dynamic frequency tracking system is developed, and it is ensured that when signals are close to the resonant frequency, the vibration mode bandwidth of the PZT changes along with the working condition changes. The driving frequency can be dynamically adjusted, and it is ensured that the ultrasonic-assisted broaching system is always kept in the target vibration mode. Through optimization and improvement in the three aspects, the ultrasonic vibration broaching effect of the high-strength and high-hardness workpiece is remarkably improved.

The invention discloses a system for simultaneously suppressing second-order nonlinearity and third-order nonlinearity in a direct modulation laser (DML), which belongs to the field of optical communication, and can simultaneously suppress the second-order nonlinearity and the third-order nonlinearity in the system under the condition of DSP-FREE through the combined action of a broadband pre-distortion circuit and an optical path push-pull structure. Wherein at a transmitting end, a set of Schottky diodes and Chebyshev gradient transmission lines which are connected in parallel reversely are adopted to build a DC-10GHz broadband pre-distortion module, and a radio frequency signal generates a reverse third-order intermodulation (IMD3) component through an analog pre-distortion circuit so as to counteract forward third-order nonlinearity of a laser; at a receiving end, a second-order intermodulation (IMD2) component is differentially eliminated through an optical path push-pull modulation architecture. Compared with a traditional DSP scheme, digital signal processing is not needed, the method has the advantages of being low in complexity and wide in bandwidth, and nonlinear accurate compensation of an optical communication system can be achieved.

The invention provides an electromagnetic accompanying signal identification method and system based on collision and accompanying analysis, and relates to the technical field of electromagnetic signal processing, and the method comprises the steps: obtaining different types of electromagnetic original signal data, and carrying out the preprocessing of the data to form a standard electromagnetic signal; extracting a central frequency point, a bandwidth and a modulation mode of a standard electromagnetic signal, and matching the central frequency point, the bandwidth and the modulation mode of the signal with a knowledge base signal according to a knowledge base matching method so as to separate an existing signal from an unknown signal; classifying the signals according to a grouping rule to form different sets, and extracting multi-scale feature data from the signals of the different sets; and performing signal collision analysis on the multi-scale feature data of different sets to obtain a collision set of the same signal, and performing adjoint analysis on the signals in the collision set to obtain adjoint signals of all the signals. According to the invention, an accompanying signal or a collision signal of the signal can be effectively found out, and an accompanying signal source can be quickly found out.

The invention discloses an intelligent dual-mode radar system based on a terahertz frequency band and an imaging method thereof, and relates to the field of terahertz radars, and the system comprises a transmitting module which supports the dynamic switching of a short-distance high-resolution mode and a long-distance low-power-consumption mode; the receiving module is used for receiving an echo signal reflected by the target of the transmitting module; the frequency synthesizer is used for generating adaptive frequency sweeping bandwidth and frequency sweeping time parameters according to a target distance requirement, and presetting at least two waveform modes; the self-adaptive signal processing unit is used for dynamically adjusting filtering parameters and gains according to a target distance working mode and outputting target imaging data; and the control module is used for realizing parameter configuration and mode switching of dual-mode cooperative work. According to the dual-mode radar collaborative architecture, collaborative work of short-distance high-resolution imaging and long-distance low-power-consumption detection can be achieved, the performance bottleneck of a traditional single-mode radar is solved, and the dual-mode radar collaborative architecture is suitable for efficient target detection and imaging requirements of diversified scenes.

The invention relates to a communication system. The communication system comprises a baseband module, a radio frequency module and a radio frequency front-end module, the radio frequency interface signal processing module is coupled between the radio frequency module and the radio frequency front end module; the radio frequency interface processing module is configured to at least receive a first radio frequency signal from the radio frequency module; wherein the radio frequency interface signal processing module comprises a signal processing device, and the signal processing device is configured to execute a digital pre-distortion operation at least based on a first radio frequency signal so as to obtain a second radio frequency signal with digital pre-distortion information. According to the scheme provided by the invention, the nonlinear problem of the signal generated by the power amplifier can be weakened or eliminated, the power, efficiency and bandwidth of the power amplifier are further improved, meanwhile, the adaptability of the high-performance pre-distortion method in a radio frequency system is improved, and the development complexity and the application cost of the application of the high-performance pre-distortion method are reduced.

The invention discloses an all-digital TIADC (Time-Interleaved Analog to Digital Converter) time sequence mismatch calibration method based on a reference channel, which belongs to the technical field of digital signal processing and comprises the following steps: S1, an all-digital calibration structure estimates time sequence mismatch by utilizing cross-channel statistical characteristics, and S2, by comparing output differences between the reference channel and subchannels which are sampled at the same time, the time sequence mismatch is calibrated. The deviation of the differentiator can be calibrated; and S3, the two calibration results are combined to generate accurate final output. The time sequence mismatch compensation structure with the reference channel is provided, compared with a traditional method, the method has remarkable advantages in the aspects of area consumption and convergence speed, an excellent calibration result is achieved while the precision of the same level is kept, and the higher convergence speed and the wider effective bandwidth are provided.

The invention provides a wireless access network pilot frequency transmission optimization and channel parameter dynamic estimation method and system based on multi-mode signal processing. According to the method, the density, the position and the power of the pilot frequency are dynamically adjusted by monitoring the channel state in real time and combining machine learning and reinforcement learning technologies, and efficient utilization of pilot frequency resources and accurate improvement of channel estimation are achieved. Under various communication scenes such as high-speed movement, multi-user dense and complex multipath, the system can intelligently switch pilot frequency strategies, support non-pilot frequency or low-pilot frequency channel estimation, and significantly reduce bandwidth occupied by pilot frequency and terminal energy consumption. Furthermore, the pilot layout is optimized by adopting an analog pilot technology and a reinforcement learning algorithm, and the robustness and the anti-interference capability of channel estimation are improved. According to the method, pilot frequency resources can be saved, channel estimation errors can be reduced, the error rate is greatly reduced, the spectrum efficiency and the communication quality of a wireless communication system are greatly improved, and the method is suitable for 5G and future 6G network environments.

The present application provides a large bandwidth signal processing device based on SDR, belonging to the field of signal technology, wherein the antenna is connected to the data processing board through an SMA interface; the data processing board is connected to the server unit through an optical fiber; the antenna is divided into two groups, one group of antennas is two identical logarithmic periodic antennas; the other group of antennas is two horn antennas with constant gain characteristics; the data processing board includes FPGA and DSP; multiple GTH high-speed interfaces are set between FPGA and DSP; FPGA has built-in ADC input and DAC output; the server unit includes a server, a network card, a CPU and a storage hard disk; the data processing board is connected to the server through an optical fiber; the server has a network card inserted; the network card is connected to the CPU through a PCLe bus; the CPU and the storage hard disk are connected through a PCLe bus. The present application directly implements RF sampling, does not require a down-conversion circuit, and greatly reduces the complexity of the device.

The invention relates to a communication system. The communication system comprises a baseband module, a radio frequency module and a radio frequency front-end module, the analog interface signal processing module is coupled between the baseband module and the radio frequency module; the analog interface signal processing module is configured to at least receive a first analog signal from the baseband module; wherein the analog interface signal processing module comprises a signal processing device, and the signal processing device is configured to execute a digital pre-distortion operation at least based on the first analog signal so as to obtain a second analog signal with digital pre-distortion information. According to the scheme provided by the invention, the nonlinear problem of the signal generated by the power amplifier can be weakened or eliminated, the power, efficiency and bandwidth which can be realized by the power amplifier are further improved on the premise of the same signal quality, and the cost of equipment is reduced.

The invention relates to the field of active phased array radar array signal processing, in particular to an azimuth super-resolution technology based on beam space transformation. The method comprises the following steps: step 1, establishing an array response matrix; step 2, wave beam space conversion: converting the received signal matrix into a small-dimension wave beam space; and step 3, carrying out azimuth super-resolution estimation on the signal after the beam space transformation by using a deterministic maximum likelihood algorithm, and the like. According to the method, the bandwidth of data transmission is greatly reduced, implementation of a system communication system is facilitated, and meanwhile the calculation complexity is reduced.

The present disclosure provides a radio frequency receiving unit and a method of signal reception thereof, in particular, a radio frequency receiving unit is provided. The radio frequency receiving unit comprises a plurality of signal processing paths, at least one receiving port, each of the at least one receiving port being configured to receive a received signal having any frequency within a full bandwidth encompassing a predetermined range of frequencies, a frequency detection unit configured to detect a frequency band to which the received signal belongs, and a control unit configured to control routing, based on the detected frequency band, of the received signal to a corresponding signal processing path for processing.

Provided is a passive optical network uplink signal processing method, comprising: an optical line terminal (OLT) collecting a target uplink signal from a target ONU on an uplink bandwidth pre-allocated to the target ONU to obtain feature data of the target uplink signal, determining identity information of the target ONU according to the uplink bandwidth, and sending the determined identity information to the target ONU; and determining a processing mode of the feature data. Through the embodiment of the invention, the identity of the ONU can be decided according to the characteristic data of the uplink signal, the identity of the ONU can be effectively and reliably prevented from being falsely used, and the problem that the service of the normal ONU is stolen and enjoyed due to the fact that the SN of the normal ONU is counterfeited in the related technology is solved.

The invention provides a large-output-window analog correlator based on an optical frequency shift loop and an implementation method of the large-output-window analog correlator. Relates to the technical field of optical signal processing and the technical field of modern radars. The analog correlator comprises a continuous wave laser, a 1 * n optical coupler, n optical frequency shift loop structures which are connected in parallel, and a DSP processing module which are connected in sequence; the n optical frequency shift loops are the same in structure, and each optical frequency shift loop comprises a 1 * 2 optical coupler, two parallel Mach-Zehnder modulators, an optical delay line, a bidirectional optical frequency shift loop, a coherent detection module and an ADC module; according to the invention, expansion of an output window of the correlator can be simulated based on an optical frequency shift loop, relative group delay of electro-optical modulation signals is reasonably adjusted, correlation results output by each structure are enabled to be continuous in sequence and frequency domain splicing is carried out, n-time expansion of the output window of the correlator is obtained, and the system has a wide application prospect. The system has the advantages of capability of performing related processing on various types of signals, large bandwidth, large output window, high signal processing speed and reconfigurable system.

The present invention relates to the technical field of broadcast signal multiplexing processing, and specifically discloses a broadcast signal multiplexing method, which comprises the following specific steps: a broadcast signal processing device is used to receive multiple broadcast signals from a broadcast tower, and according to a pre-analysis module embedded in the broadcast signal processing device, the required bandwidth and priority of each broadcast signal are determined; the interval of each sub-channel corresponding to each broadcast signal is dynamically adjusted; a filter is configured for each sub-channel corresponding to each broadcast signal, and according to a monitoring module embedded in the broadcast signal processing device, a signal interference condition is detected in real time in the broadcast signal processing device; the transmission power of each broadcast signal is accurately controlled, and the transmission power of each broadcast signal is sent to a broadcast transmitter, which can effectively optimize the utilization of spectrum resources, reduce cross interference between signals, ensure the stable transmission of high priority signals, and improve the transmission quality of signals through filter configuration.