63 results about "Frequency encoding" patented technology

The invention discloses a ground feature classification method based on a frequency-space collaborative learning hierarchical fusion network. The method comprises the following steps: step 1, data preparation; step 2, the HMFE module extracts frequency domain features; step 3, extracting spatial domain features by an MLSA module; 4, the AWF module dynamically integrates the features; 5, executing a classification task; the MLSA module strengthens cross-scale interaction through a tree fusion structure and a cross attention mechanism, realizes efficient fusion of HSI and LiDAR data in a spatial domain, improves classification consistency of complex scenes, and reduces boundary blur phenomena; the HMFE module introduces a learnable frequency coding mechanism into the Mmba module so as to enhance spectrum-frequency components with strong discrimination; the AWF module realizes dynamic integration of spatial domain and frequency domain features through adaptive weighted fusion, fully mines deep complementarity of the spatial domain and the frequency domain, and improves the utilization efficiency of the model for heterogeneous data.

The invention discloses a signal control system for a mining locomotive, and aims to solve the problems of weak interference resistance and low safety of a traditional system. The system comprises a signal acquisition module, a dynamic frequency coding processing module, an intelligent decision-making module, an execution module, a communication module and a power supply module. The signal acquisition module acquires the position, speed and environmental parameters of the locomotive through an infrared position, speed and temperature and humidity sensor; the dynamic frequency coding module monitors the signal-to-noise ratio of a sub-band every 10 ms, when the signal-to-noise ratio of the sub-band is lower than 15 dB, the sub-band is automatically switched to a high-signal-to-noise-ratio sub-band larger than or equal to 20 dB, an encryption mapping table is generated for synchronous updating, and the equipment deals with sudden interference through an emergency band. The intelligent decision-making module generates a control instruction, and speed adjustment and parking are achieved through the execution module. An explosion-proof cable and a low-frequency through-the-earth technology are combined for communication, and a power supply is of an explosion-proof type and has multiple protections. The system improves the anti-interference performance and safety of signal transmission, adapts to the mine environment, and supports the intelligent operation of mine transportation.

The invention provides a method and system for constructing a knowledge representation learning model based on multi-dimensional information interaction and dynamic frequency perception. The method comprises the steps of constructing a multi-dimensional information encoder, constructing a historical query encoder and constructing a multi-dimensional perception decoder. According to the method, firstly, multi-dimension, entity type and time structure information in time knowledge graph reasoning is effectively modeled through a multi-dimensional information encoder; next, a historical query encoder aggregates their neighbouring semantics through constructed query-related historical facts, and additionally obtains duplicated global candidate facts through dynamic historical frequency coding, thereby providing global constraints for scoring in the decoder. Finally, the entity representation is decoded using a multi-dimensional perceptual decoder.

The invention relates to the technical field of welding data processing, and discloses a multi-sensor data fusion processing system in the welding process. The system comprises a multi-mode welding data acquisition module, a welding process feature portrait generation module, a feature preprocessing module, an environment coding module and a process parameter mapper. The multi-mode welding data acquisition module is used for acquiring welding current, voltage, a molten pool image, a welding seam shape, environment temperature and humidity and equipment vibration frequency; a feature portrait generation module generates a feature portrait containing welding quality and process parameter feature vectors according to the welding quality and process parameter feature vectors; the feature preprocessing module carries out time domain segmentation and frequency domain transformation on the multi-modal data to generate a standard welding process parameter data set; the environment encoding module encodes the environment temperature and the equipment vibration frequency to generate an environment state encoding sequence; and the process parameter mapper matches and maps the two parameters, and outputs a process parameter mapping characteristic value. According to the system, multi-modal data integration and process parameter dynamic matching are achieved, and the stability of the welding process is guaranteed.

The invention relates to the technical field of electromagnetic wave detection and imaging, and discloses a radar target echo generation method based on a physical information neural radiation field, which effectively improves the physical consistency of generated echo signals, accurately simulates the energy attenuation characteristics at different observation angles, and improves the radar target echo generation efficiency. The problem of signal completion under the sparse view angle condition is solved. The signal generated by the method is highly matched with measured data in the aspects of amplitude distribution, phase continuity and energy envelope form, a reliable data basis is provided for radar target identification and feature analysis, and the perception capability of a network on target geometric details is enhanced through high-dimensional position coding. Therefore, the generated echo signal can accurately reflect the spatial distribution characteristics of the scattering center. Meanwhile, due to the introduction of the multi-frequency coding sequence, the network can adaptively capture electromagnetic scattering characteristics under different scales, and a reliable technical means is provided for echo generation of a complex target.

The invention provides a delay determination method, device and system of a magnetic resonance system and a storage medium, and the method comprises the steps: carrying out the image collection of a target object based on a preset echo interval, and obtaining a first echo phase image, a second echo phase image and a third echo phase image, the first echo phase image and the third echo phase image are acquired based on a frequency coding gradient magnetic field of the first polarity; determining a first phase difference image corresponding to a single echo interval based on the first echo phase image and the third echo phase image; superposing the first echo phase image and the first phase difference image to obtain a reference phase image corresponding to the second echo phase image; and determining delay information of the magnetic resonance system based on the reference phase image and the second echo phase image. Based on the scheme of the invention, the delay information of the magnetic resonance system can be accurately determined.

The invention discloses a strain clamp X-ray image enhancement and defect identification method and system, and belongs to the technical field of image processing. The method comprises the following steps: acquiring an internal image of a wire clamp through X-rays, and performing feature reconstruction and defect modeling in a frequency space and a potential space; a multi-scale frequency encoder is adopted to extract detail features of a tension clamp image, a frequency domain structure selection module is combined to enhance defect edge response, and finally robust identification of an abnormal region is realized in a potential diffusion process. Therefore, good defect detection precision and boundary definition can be kept under the complex conditions of strong background noise interference, low image contrast and the like.

This invention provides a method for correcting the localization errors caused by field inhomogeneity and obtaining position information of a wireless marker in an MRI scanner. In one embodiment, said method comprises the steps of: a) Providing said wireless marker in said workspace; b) Performing a pulse sequence with said MRI scanner, comprising: i) Exciting all spins inside said workspace; ii) Applying a pre-phasing gradient along a frequency encoding; iii) Applying dephasing gradients in two directions orthogonal to said frequency encoding direction; and iv) Applying two readout gradients with same amplitude and opposite polarities along said frequency encoding direction to form a first and a second gradient echo; c) Acquiring a first and a second MR signal using an array of RF receiver coils by sampling said first and second gradient echoes respectively; and d) Reconstructing tracking signals from said first and second MR signals and calculating said position information.

The invention discloses a composite modulation signal blind identification method based on time-frequency analysis, which comprises the following steps of: firstly, judging and classifying input pulse signals, and then respectively carrying out identification and parameter estimation on determined signal types. According to the scheme, down-conversion analysis processing, signal time-frequency analysis processing and signal classification identification decision processing are firstly carried out on AD sampling intermediate frequency data sent by a digital signal processing board FPGA to obtain an identification result of a radar signal intra-pulse modulation type, and then corresponding parameter estimation is carried out according to the radar signal intra-pulse modulation type. According to two composite modulation styles of frequency coding and linear frequency modulation combination and frequency coding and two-phase coding combination, on the basis of time-frequency parameter characteristics of various composite modulations, related characteristic parameters are accurately extracted, a modulation type identification process is constructed, and time-frequency analysis is performed on radar signals through fast Fourier transform and phase correlation, so that the identification accuracy of the radar signals is improved. And furthermore, intra-pulse parameter estimation is accurately carried out on the radar signal.

This invention discloses a method for distinguishing and quantifying the enhanced oil recovery (EOR) mechanism of CO2 huff and puff in unconventional oil reservoirs, relating to the field of oil and gas extraction technology. The method is based on nuclear magnetic resonance (NMR) experiments to determine the T2 spectrum and one-dimensional frequency coding of saturated oil cores. By analyzing the T2 spectrum and one-dimensional frequency coding of saturated oil cores, the CO2 huff and puff recovery rate and the effective CO2 reach distance are calculated. Based on the experimental data, a component model is established and calibrated to fit the experimental recovery rate and effective CO2 reach distance, thereby distinguishing and quantifying the EOR mechanism at different stages of CO2 huff and puff. This method can accurately classify the enhanced oil recovery mechanism during CO2 huff and puff into oil expansion, oil molecule diffusion, elastic energy release, and dissolved gas drive, effectively identifying the main controlling mechanism of CO2 huff and puff enhancement, providing a basis for optimizing field operations.

An optical ranging and detection system enables a reconfigurable very wide field of view, high sampling of spatial points per second, and high optical power handling by effectively combining different wavelength, time and frequency encoding, and spatial selectivity using an architecture. A transmitter is capable of generating multiple narrow beams, encoding different beams, and transmitting in different spatial directions. A receiver can distinguish and extract range and reflectivity information of the reflected beams. Three-dimensional imaging of an environment is achieved by scanning the field of view of the transmitter. Control and signal processing electronics fabricated in a chip are packaged together with a chip containing photonic components of the ranging system. The optical ranging and detection system generates terahertz beams in addition to optical beams, and the combined two beams allow reconfigurable spectral analysis.

Edge computing units that are outfitted with signal receivers and provided at local sites or edge locations are configured to capture RF signals and process the RF signals using transformer models. A spectrum encoder of a transformer model performs attention on frequency-encoded features extracted from spectrograms of the RF signals and features extracted from representations of RF signals associated with discrete RF events, and embeddings generated by the spectrum encoder are decoded to classify the RF signals or a source of the RF signals. Additionally, a spectrum decoder of a transformer model is configured to receive a query for information and to generate a response to the query using a spectrum decoder that performs attention on embeddings received from a spectrum encoder, as well as frequency-encoded features representative of the query, and features representative of semantic information regarding RF signals and sources of the RF signals.

The invention discloses a method for distinguishing and quantifying an unconventional oil reservoir CO2 huff and puff recovery ratio improving mechanism, and relates to the technical field of petroleum and natural gas extraction. According to the method, a saturated oil core T2 spectrum and a one-dimensional frequency code are measured on the basis of a nuclear magnetic resonance (NMR) experiment, and the CO2 huff and puff recovery ratio and the CO2 effective action distance are calculated by analyzing the saturated oil core T2 spectrum and the one-dimensional frequency code; a component model is established and calibrated based on experimental data so as to fit the recovery ratio and the CO2 effective action distance in the experiment, and then EOR mechanisms of different CO2 huff and puff stages are distinguished and quantified. According to the method, the yield increasing mechanism in the CO2 huff and puff process can be accurately divided into oil expansion, oil molecule diffusion, elastic energy release and dissolved gas drive, the main control mechanism of CO2 huff and puff yield increasing can be effectively judged, and a basis is provided for optimization of field operation.

A system for RF based frequency encoding utilizing a Bloch-Siegert shift, includes a controller, an RF encoding system, and an injection transformer simultaneous transmit and receive filter. The controller generates RF excitation pulses, RF based frequency encoding pulses, and a cancellation signal. The RF encoding system includes one or more RF coils configured to transmit the RF excitation pulses and RF based frequency encoding pulses, and to receive an MR signal from the subject where the MR signal includes a leakage signal induced by the RF based frequency encoding pulses. The injection transformer simultaneous transmit and receive filter is in signal communication with the controller and the RF encoding system. The injection transformer simultaneous transmit receive filter is configured to receive the cancellation signal, the MR signal including the leakage signal, and to cancel the leakage signal from the received MR signal to generate a filtered MR signal.

The present invention relates to a hybrid brain-computer interface method that combines visual and auditory weak stimulation. Its technical characteristics are: determining the video stimulation interface, the number of visual stimulation targets and the visual stimulation attributes, and realizing the visual weak stimulation function by means of high-frequency flickering of the peripheral visual field; realizing the auditory weak stimulation function by applying binaural frequency-divided low-sound-pressure-level auditory stimulation signals to the left and right ears; performing visual weak stimulation and auditory weak stimulation at the same time, and selectively paying attention to the auditory stimulation of the left or right ear to complete the task of the hybrid paradigm; while performing visual weak stimulation and auditory weak stimulation, extracting the steady-state visual evoked potential characteristics and auditory steady-state response characteristics of the user's electroencephalogram signal and performing identification and classification to generate coding instructions. The present invention combines the visual weak stimulation method with the auditory weak stimulation method, and uses two electroencephalogram signals for encoding at the same time, thereby improving the naturalness and friendliness of human-computer interaction, and can encode more targets using fewer frequencies.

The invention discloses a lumbar vertebra scanning processing method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a sagittal three-dimensional image of a lumbar vertebra, carrying out the three-dimensional segmentation of the lumbar vertebra and an intervertebral disc in the sagittal three-dimensional image, and obtaining a lumbar vertebra segmentation result and an intervertebral disc segmentation result; inputting the lumbar vertebra segmentation result and the intervertebral disc segmentation result into a preset anatomical key point detection network for anatomical key point identification to obtain an anatomical key point set, and constructing a local vector space based on the anatomical key point set, according to a preset magnetic resonance lumbar vertebra scanning constraint rule, target scanning positioning parameters corresponding to multiple target scanning orientations are matched in the local vector space, and the target scanning positioning parameters at least comprise a phase coding direction, a frequency coding direction, a slice selection direction and a slice center position; and controlling magnetic resonance equipment to execute lumbar vertebra scanning based on the target scanning positioning parameter. The lumbar vertebra scanning parameter planning can be automatically completed.

Methods for determining parameters of particles in a flow stream from scattered light (e.g., in a particle analyzer of a flow cytometer) are described. Methods according to certain embodiments include illuminating particles in a flow stream with a frequency-modulated laser beam modulated at a reference frequency, detecting scattered light from the particles with a photodetector, generating a frequency-encoded data signal from the detected scattered light, synchronizing the frequency-encoded data signal to the reference frequency, and determining one or more parameters of the particles based on the synchronized frequency-encoded data signal. Systems for practicing the subject methods and non-transitory computer-readable storage media having instructions for practicing the subject methods are also provided.

The application provides a non-destructive size measurement method for underground targets by combining frequency coding and half-integer phase control, and belongs to the field of non-destructive size measurement of underground targets. The method solves the problem that the prior art cannot effectively overcome the near distance blind area and suppress the frequency domain sidelobe. The method comprises the following steps: constructing an equal-interval frequency grid; generating a transmission frequency sequence by using a step parameter coprime with the total frequency point number for coding sorting; defining the effective transmission duration of each frequency point time slot, so that the near distance blind area range is determined by meeting the half-integer period condition; in each frequency point time slot, a linear sweep signal is generated, and the cumulative phase of the signal at the end of the time slot is controlled to meet the half-integer circle constraint; the signal is transmitted in sequence, and the echo signal is received synchronously; the complex frequency response of each frequency point is extracted, and after frequency domain coherent synthesis, the phase information is differentially approximated to obtain the group time delay; and the target geometric size is calculated according to the medium propagation speed and the group time delay. The method is used in the field of pipe network detection.

The invention relates to the technical field of artificial wetland pollution management, in particular to an artificial wetland pollution prediction method which comprises the following steps: retrieving literatures to obtain related parameters; performing frequency coding and feature scaling on the parameters to obtain a data set; dividing the data set into a training set and a test set; establishing a predictor model based on a stacking model, wherein the predictor model comprises a base learner and a meta learner; respectively training the models of the base learner by adopting the training set; obtaining a prediction result of the base learner as an input of the meta learner; using a genetic algorithm to optimize the prediction weight of the base learner model; performing weighted fusion on prediction results of the three models of the base learner, predicting the test set again, and calculating a final performance index; and measuring the deviation and prediction performance of the predicted value of the constructed wetland. According to the method, the problems of limited prediction precision and poor stability of a traditional single model are solved.

The application belongs to the technical field of ground penetrating radar, and provides a ground penetrating radar control method, device, equipment and storage medium, wherein the method comprises: generating a frequency sequence group matrix meeting preset requirements of a ground penetrating radar by using a chaotic mapping, optimizing the frequency sequence group matrix according to a preset genetic algorithm, obtaining an orthogonal discrete frequency coding transmission waveform set, based on the orthogonal discrete frequency coding transmission waveform set, calling a double-channel narrowband, wideband transceiver and a heterogeneous system-level chip of the ground penetrating radar to transmit a waveform to the ground and receive a reflected waveform, analyzing and processing the reflected waveform, obtaining a ground penetrating result, so as to improve work efficiency, meet high-speed operation detection requirements, improve detection accuracy of the radar, have a unique advantage for spectrum analysis and interference suppression, realize a balance between detection depth and resolution, and do not need complex signal processing technology.

The invention discloses a time-frequency electromagnetic method ground monitoring data acquisition device, which comprises a power supply unit, a shell, a plurality of transmitting electrode pairs arranged at the edge of one side of the lower surface of the shell, a plurality of receiving electrode pairs arranged at the edge of the other side of the lower surface of the transmitting unit, and a transmitting unit arranged in the shell, the excitation module is used for generating an excitation current signal according to a preset time-frequency coding sequence and injecting the excitation current signal into the ground through a transmitting electrode pair; the receiving unit is arranged in the shell and is used for collecting an electromagnetic response signal generated by the ground through a receiving electrode pair and conditioning and digitizing the electromagnetic response signal; the main control and processing unit is arranged in the shell and is electrically connected with the transmitting unit and the receiving unit respectively; and a synchronization unit. The functions of a plurality of traditional discrete devices are integrated in a firm shell, so that the field layout process is simplified, and the reliability and portability of the system are improved.

The application discloses a three-dimensional vision calibration and positioning method and system based on an event camera, and belongs to the positioning field. An array containing a plurality of unique frequency coded light sources is constructed, a binocular event camera system is built, light signal event streams of the light source array are collected, pixel position, frequency and timestamp information are extracted, pixel coordinate centroids of each light source are determined through frequency and pixel clustering analysis, and a frequency and centroid mapping is established. Auxiliary light sources with the same coding rules are arranged on the surface of a target object, after the binocular system collects light signals of the auxiliary light sources, the centroid coordinates of the light sources are matched according to the mapping relationship. Based on the calibration parameters of the event camera and binocular external parameters, the centroid coordinates are corrected and stereoscopic matched, and the three-dimensional coordinates of the auxiliary light sources are calculated through triangulation. Combined with the known geometric topological relationship of the auxiliary light sources on the surface of the object, the spatial pose of the target object is solved by using a rigid transformation algorithm, and high-precision positioning is completed. The embodiment can improve the calibration precision in a complex application environment.

This invention discloses a method and system for simultaneous energy transmission and signal transmission in wireless charging of electric vehicles. The method includes the following steps: S1: Mapping the data to be transmitted from the primary side into corresponding characters, and encoding each character using 8-bit binary encoding, wherein each character's 8-bit binary code contains at most two 0 bits; S2: Determining the switching frequency, where encoding "1" corresponds to frequency f1 and encoding "0" corresponds to frequency f2; S3: Determining the frequency switching time point, and then generating a PWM square wave of the corresponding frequency to drive the inverter; S4: Reading the induced signal on the receiving coil and counting the rising edges of the two frequency signals; S5: Demodulating the corresponding binary character and restoring the data transmitted from the primary side. The effect is that, without changing the system structure and component parameters, system performance can be optimized simply by changing the encoding method, effectively reducing the impact of signal transmission on energy transmission.

The invention discloses a flow field prediction method and system based on wavelet alignment cross attention, and the method comprises the steps: enabling a computational domain structure grid coordinate and a working condition parameter to form a multi-channel input tensor, and constructing a flow field prediction model to achieve the end-to-end regression of a flow field variable. In a bottleneck layer of the flow field prediction model, a first branch generates a key / value based on a high-frequency sub-band of an input feature through discrete wavelet transform; the second branch generates a query based on an input feature through a linear self-attention aggregation result; the fusion branch executes linear cross attention, and band-by-band soft mask and lightweight residual error correction are applied to high-frequency sub-bands based on the linear cross attention; a hierarchical cross attention refinement module is introduced into a decoding sub-module, after query, keys and values are generated based on high-frequency coding features and high-frequency decoding features, band-by-band enhancement and inverse transformation reconstruction are carried out according to coefficient domain cross attention, and jump connection features are fused through symmetric gating.

The invention discloses a precise robot trajectory tracking control method based on a pulse neural network, and relates to the technical field of robot trajectory control, and the method comprises the following steps: determining trajectory parameters according to operation demands, and building a constraint model; constructing a three-layer pulse neural network, and defining a rule that a membrane potential reaches a threshold value and pulses are emitted; collecting end data, and calculating a trajectory error after Kalman filtering processing; converting an error signal into a pulse sequence by adopting frequency coding, and introducing time coding supplementary information; the neural network generates an execution joint pulse sequence after receiving the pulse sequence, and converts the execution joint pulse sequence into a control signal prototype; optimizing the signal by combining a dynamical model constructed by a Lagrange equation; the driving unit receives signals to drive joints to move, and the torque sensor feeds back in real time; continuously collecting data to calculate errors, and adjusting the network weight through online learning. According to the method, efficient calculation and dynamic learning are realized based on the spiking neural network, the trajectory tracking precision is improved, and complex operation requirements of multiple types of robots are met.

The invention discloses an AI-based frequency bin coding measurement equipment-independent quantum key distribution method. The method comprises the following steps executed by a computer system: inputting quantum signals sent by two communication parties, a relative radial speed between a communication node and an infeasible relay node and historical quantum interference statistical characteristic data; the method comprises the steps of quantum channel observation and frequency bin quantum state construction, frequency bin dynamic evolution caused by relative motion, frequency compensation decision based on reinforcement learning, influence of residual frequency errors on quantum interference performance, frequency bin utilization rate and error code propagation caused by interference degradation and safe key rate generation. The adaptive capacity and the operation reliability of the MDI-QKD system based on the frequency bin in a dynamic and multi-noise environment can be effectively improved, and an intelligent solution is provided for safe key distribution in a high-capacity quantum communication network.

The invention relates to a method for operating a plurality of radar sensors (11, 12, 21, 22, 31, 32) with low interference, which are installed in different vehicles (1, 2, 3) and each emit a transmission signal in an operating range (FA, FB), which is characterized by at least one of the following parameters: frequency, coding, active time window, characterized in that for each radar sensor (11, 12, 21, 22, 31, 32) an operating range (A, B) is assigned in accordance with at least one degree of freedom of movement of the vehicle (1, 2, 3) in which the radar sensor is installed.

The invention discloses a dynamic advertisement pushing method based on real-time scene perception, and relates to the technical field of scene perception, and the method comprises the steps: collecting a scene data stream in real time, and converting the scene data stream into a pulse feature vector carrying a precise timestamp and a frequency code through an integrated issuing neuron model based on biological inspiration; threshold value characteristic analysis is carried out on the pulse characteristic vector carrying the precise timestamp and the frequency code through the time accumulation threshold value characteristic of the multi-layer pulse neurons, and a dynamic advertisement pushing demand triple is obtained; constructing the dynamic advertisement pushing demand triple into a hypergraph conflict resolution model by adopting a heterogeneous decision factor hypergraph modeling method, calculating weight distribution of the hypergraph conflict resolution model through a Sharpley value game algorithm, and generating a Nash equilibrium optimal solution; according to the method, identification and grading of potential conflict relations among multi-source push demands are realized, and then a push decision is guided to enter a stable equilibrium state through a multi-party optimization result based on a Nash equilibrium strategy.

The embodiment of the application discloses a kind of temperature measurement method and device for hydrogen engine exhaust valve of commercial vehicle.The method comprises: fixed receiving unit transmits radio frequency excitation signal to valve integrated temperature measurement unit by radio frequency reading antenna;Valve integrated temperature measurement unit receives radio frequency energy in radio frequency excitation signal and drives high-temperature-resistant acoustic surface wave sensor chip into working state in passive way;Micro-thermocouple collects temperature data of exhaust valve and transmits temperature data to high-temperature-resistant acoustic surface wave sensor chip;High-temperature-resistant acoustic surface wave sensor chip generates frequency coding signal according to temperature data adjustment acoustic surface wave resonance frequency;Valve integrated temperature measurement unit reflects frequency coding signal back to fixed receiving unit;Fixed receiving unit determines real-time temperature value by demodulation processing to frequency coding signal.The technical scheme of the embodiment of the application realizes real-time, wireless, high-precision monitoring of exhaust valve temperature, significantly improves the reliability and environmental adaptability of temperature measurement system.

The invention particularly relates to an in-pulse agile waveform design method based on an SA-2opt parallel optimization algorithm, which comprises the following steps of: optimizing an in-pulse frequency-frequency modulation agile waveform based on the SA-2opt parallel optimization algorithm by taking a minimum self-correlation side lobe peak value as a target function, and firstly, preliminarily obtaining a frequency and frequency modulation coding sequence by adopting a simulated annealing (SA) algorithm; local search is carried out on the frequency modulation rate code by using a 2-opt algorithm, multiple groups of the processes are carried out in parallel, and a sequence with the lowest side lobe is selected as a final frequency and frequency modulation rate code. According to the method disclosed by the invention, the distance sidelobe with relatively high frequency coding waveform in the traditional pulse is inhibited, and the waveform complexity is improved, so that the probability that radar signals are intercepted is reduced; the orthogonality between the sub-pulses is improved by adopting a frequency-modulation frequency joint coding method, the mutual shielding characteristic between the sub-pulses is enhanced, and the method can be applied to suppression of intermittent sampling and forwarding interference.