58results about How to "Reduce verification costs" patented technology

The invention relates to an attitude and orbit control engine high-altitude environment simulation ignition test system and a verification method, in particular to a high-altitude simulation test bed active injection verification system and a verification method, and solves the technical problems of high cost, high risk and low verification data validity during verification of a high-altitude simulation test bed in the prior art. The active injection verification system for the high-altitude simulation test bench comprises a vacuum chamber, a diffuser, a water spray cooler, a first corrugated pipe, a first gas collection chamber, a second corrugated pipe, n groups of coolers, a third corrugated pipe, a second gas collection chamber, a steam-jet pump, a pipeline and a data acquisition module, according to the verification method of the active ejection verification system of the high-altitude simulation test stand, ejection capacity verification is carried out in two stages, and the verification effectiveness is greatly improved on the premise that the verification cost is greatly reduced.

The invention discloses a DAG-based cross-fragmentation point-to-point energy transaction optimization method, and belongs to the technical field of cross-fragmentation transaction processing. Comprising the following steps: defining a cross-fragment transaction; describing a dependency relationship among a plurality of sub-transactions based on a directed graph (DAG) structure; constructing a coordination layer based on a DAG account book, and selecting a node with the highest reputation value to serve as a DAG committee member; and carrying out transaction verification, cross-fragment transaction forwarding and verification during forwarding on the nodes serving as DAG committee members. According to the method, the optimistic strategy is adopted to process the cross-fragmentation transaction in parallel, and the cross-fragmentation transaction is decomposed into a plurality of sub-transactions in combination with a DAG structure, so that the atomicity and consistency of the transactions are ensured; in a high-frequency transaction scene, the throughput and the processing rate of the system are remarkably improved, and the transaction delay is effectively reduced; a DAG committee is formed in cross-fragment internal nodes, a DAG account book is maintained, efficient cross-fragment transaction processing is achieved, dependence on a trusted third party is eliminated, and communication and verification cost is remarkably reduced.

The invention discloses a novel power system network security protection and verification method and system. The method comprises the following steps: monitoring network traffic and log data, forming a network space behavior analysis rule by using a machine learning algorithm or a path search algorithm, and generating an attack path from an attacker perspective; constructing a network attack behavior event association model oriented to an attack and defense scene of the power system based on an analysis result of the attack path, and automatically identifying a network threat; aiming at the identified network threats, integrating power network security domain knowledge, a power monitoring system network plan and an on-site disposal scheme by utilizing a knowledge graph technology, and automatically generating a protection strategy; comprehensively evaluating the protection effect of the protection strategy through a pre-established evaluation system, and verifying and optimizing the protection effect by simulating a real attack and defense scene. According to the scheme of the invention, the accuracy and timeliness of threat identification are improved, and the verification process of a protection strategy is simplified.

The invention discloses a semi-physical simulation device with a visible light platform seeker. The semi-physical simulation device comprises a signal simulation part, a motion simulation part and a test main control part, the signal simulation part comprises a television screen and a target simulation device, and the television screen is connected with the target simulation device; the motion simulation part comprises a three-axis rotary table, the three-axis rotary table comprises a table body and a control cabinet, and a guide head for testing is loaded on the table body; the control cabinet is used for realizing local control of the table body and outputting a real-time sight angle to the target simulation device; the test main control part comprises a seeker, a computer, a simulation machine and a main control computer, the seeker, the computer and the main control computer are connected in sequence, and the main control computer is connected with the simulation machine and the target simulation device. The combination of the television screen and the target simulation device is used for replacing a five-axis rotary table, a visible light source and a parallel light tube, performance verification of the seeker can be rapidly carried out, faster product function verification and version iteration are achieved, and the verification cost is greatly reduced.

The invention relates to the technical field of computer structure simulation, in particular to a heterogeneous core particle modeling method, system and device based on an SST framework and a SystemC simulator and a readable storage medium, each core particle is configured with a simulator so that each core particle can be achieved in the corresponding simulator, and the simulator adopts SystemC to construct a corresponding simulation code; each core particle simulator performs SST component instantiation integration under a structure simulation toolkit by using an external interface to obtain a target model, interconnection simulation is performed on the multi-core particle simulator through the target model, the structure simulation toolkit adopts an SST framework, and clocks among the SST components of the core particle simulators in the SST framework are synchronous; and each core particle simulator is internally provided with an identifier used for representing the state that the simulator sends data to the outside and a reserved memory address space used for writing user or structure simulation toolkit data into the simulator. According to the method, the multiple SystemC simulators are integrated under the SST framework, and simulation modeling of the multi-core-particle heterogeneous system can be achieved.

The invention discloses a binary system-based software authorization protection method, which comprises the following steps of: determining a parameter set used by application software, and calculating a password hash function value of an executable file of the application software; acquiring equipment information of authorized hardware to form an equipment unique identification code; performing password hash function calculation on the equipment unique identification code to obtain an encryption key; combining the parameter set and the password hash function value into a confusion character string; encrypting the obfuscated character string by adopting an encryption key, and storing the obfuscated character string as a binary file; and when the application software is started and runs, authorization protection verification is automatically carried out according to the binary file. According to the method, the parameter set, the password hash function value and the equipment information are combined to form the binary file by adopting a character string confusion technology and a key encryption technology, so that the security of software authorization is improved, and the risk of decompilation cracking is reduced; software authorization protection verification is carried out automatically according to the binary file, and the verification cost is reduced.

This application provides a method and apparatus for testing the inference consistency rate of a large language model, relating to the field of artificial intelligence technology. The method includes: sending preset test cases to an inference server, causing the inference server to execute baseline inference and comparison inference respectively, obtaining baseline inference results and comparison inference results; standardizing the baseline inference results and comparison inference results; generating inference precision and inference hit rate based on the standardized comparison inference results and standardized baseline inference results; and calculating the inference consistency rate of the large language model based on the inference precision and inference hit rate. The method and apparatus for testing the inference consistency rate of a large language model provided in this application achieve quantifiable, tolerant, and comparable evaluation of inference consistency, significantly improving the accuracy, interpretability, and adaptability of inference consistency verification.

The disclosure provides a design method for a connection sheet, a connection sheet, an energy storage device, and an electric device. The design method for the connection sheet includes: an area S of a welding region, connectable to a tab, of the connection sheet is obtained; the connection sheet is divided into a first effective region and a second effective region, where the first effective region is a region, having a regular shape, of the connection sheet, the second effective region is a region, connectable to a terminal post, of the connection sheet, the first effective region (10) is implemented as N first effective regions (10), N≥1, and multiple first effective regions (10) are connected on the same side of the second effective region (20); a gauge size of the first effective region is determined according to S= a*S1, a being in a range of 0.095~0.96, and S1 being an area of the first effective region. Thus, an area of the welding region, connectable to a tab, of the connection sheet satisfies the overcurrent requirement, and gauge size of the first effective region is reasonable, so that design redundancy may be avoided, verification times in a design process is reduced. Moreover, the gauge size of the connection sheet is reasonable, so that the production cost may be reduced.

The present invention relates to the field of chip technology, and in particular to a large-scale chip verification method, electronic device and medium, the method comprising step S1, constructing a target test case; step S2, obtaining a test case group name, a verification configuration information name and a test parameter corresponding to the target test case; step S3, obtaining the corresponding target verification configuration information from a preset verification configuration information list; step S4, configuring a large-scale chip verification system based on the target verification configuration information, and generating a target large-scale chip verification system; step S5, obtaining a corresponding target test case group from a preset test case group library; step S6, passing the test parameters corresponding to the target test case to the test case in the target test case group, and then running on the target large-scale chip verification system to verify the verification target. The present invention improves the efficiency and stability of large-scale chip verification and reduces the cost of large-scale chip verification.

The invention discloses an on-line calibration device for a constructional engineering quality detector group. The on-line calibration device comprises a micrometer head calibration system, a special distance measurement system, a perpendicularity calibration system and measurement software, the micrometer head calibration system, the special distance measurement system and the perpendicularity calibration system are installed on the base in a matched mode. The micrometer head calibration system comprises a CCD industrial camera, a lens, an LED parallel light source and a special clamp. The special clamp realizes relative interval installation of the lens and the LED parallel light source, and the special distance measuring system comprises a linear displacement sensor and a matching clamp; the linear displacement sensor and the micrometer head are installed in a matched mode through a matched clamp. The perpendicularity calibration system comprises a wide-seat angle square, a filler gauge and a step gauge. The online traceability device is convenient to operate and use and high in calibration speed, online calibration is realized, and the calibration efficiency of the calibration device of the constructional engineering quality detector group is greatly improved.

The application discloses a kind of encapsulation glue selection methods and encapsulation structure for crystal screen film, and the selection method is established by the multi-dimensional performance index system with adhesion strength, light transmittance, weather resistance, yellowing index and modulus as core, and finally the encapsulation glue selection is completed by threshold preliminary screening, interface compatibility accelerated aging test, encapsulation interface stress simulation analysis through weighted quantitative comprehensive score;The encapsulation glue prepared by the selection method is used in the encapsulation structure of crystal screen film, including the layer-by-layer lamination of crystal screen film layer, encapsulation glue layer and cover layer.The application realizes the systematization and quantifiable selection of encapsulation glue for crystal screen film, solves the pain points of insufficient long-term reliability, interface failure and optical performance degradation caused by the experience selection of prior art, and can significantly improve the structural stability and service life of crystal screen film product, and is suitable for the encapsulation scene of crystal screen film of various high-end display devices.

The invention relates to the field of aviation cockpit environment control, and provides an aviation cockpit pressure dynamic change calculation method based on the aviation cockpit pressure dynamic change process by establishing mathematical calculation models of an aviation cockpit module, an air supply module, an exhaust module, an atmospheric height module and the like. Compared with a traditional calculation method, the method not only can calculate the cabin pressure and the pressure change rate in the normal flight process of the aircraft, but also can theoretically calculate the transient pressure and the pressure change rate of the cabin under the special conditions that the ventilation flow of the cabin is suddenly changed, the adjustment of a cabin pressure adjusting system fails and the like in the flight process of the aircraft. And comparing a calculation result with industrial standard requirements to judge whether component design and control logic formulation of the cabin pressure control system are reasonable or not and whether fault positioning is accurate or not. And compared with verification by developing a prototype, establishing a simulation cabin, simulating an atmosphere cabin and the like, the development period is greatly shortened, and the verification cost is reduced.

This invention relates to the field of flowmeter testing technology and discloses a fault prediction method for trade metering flowmeters. The method includes: acquiring historical calibration data of the flowmeter under preset operating conditions; obtaining a valid flowmeter coefficient dataset after outlier removal; calculating the arithmetic mean and standard deviation of the dataset to establish an initial statistical control chart including a centerline, warning limits, and fault limits; introducing an exponentially weighted moving average algorithm to generate EWMA dynamic control limits; and real-time acquisition of the flowmeter's K coefficient, comparing it simultaneously with the initial statistical control chart and the EWMA dynamic control limits, and determining the flowmeter's operating status based on the different control intervals in which the K coefficient falls. This invention solves the problem of traditional methods being insensitive to small or gradual drifts in flowmeter metering performance by constructing a triple control logic combining static control limits and dynamic trend limits, thus achieving early warning and predictive maintenance before errors exceed limits.

The invention relates to the technical field of charging billing supervision, and particularly discloses an LSTM-GAN-based mass charging pile remote verification method, system and device and a medium, and the method comprises the steps: selecting a part of charging piles, and adding new electric energy meters; the charging pile electrical data detected by the original electric energy meter and the new electric energy meter are uploaded to the database of the cloud platform through the data acquisition card; calculating and obtaining the metering result deviation of the new electric energy meter and the original electric energy meter, marking the charging pile with the metering result deviation within an allowable error range as qualified, and otherwise, marking the charging pile as unqualified; the marked data are input into an LSTM-GAN model for training, and a verification model is obtained; and inputting the electrical data of the charging pile to be calibrated into the trained calibration model, and judging whether the metering accuracy of the charging pile is qualified or not by comparing the deviation. According to the LSTM-GAN-based mass charging pile remote verification method, system and equipment and the medium provided by the invention, the verification efficiency can be improved, the cost can be reduced, and remote verification of mass charging piles can be realized.

The invention belongs to the technical field of industrial simulation, and discloses a simulation verification method for slurry stirring, which comprises the following steps: preparing slurry with target viscosity, and adding the slurry into a stirring experiment platform to obtain to-be-stirred slurry; after the to-be-stirred paddle is stable, adding a tracer agent at a preset position of the to-be-stirred paddle to obtain first detection data; the to-be-stirred paddle is stirred in the stirring experiment platform, and a plurality of second detection data at different moments in the stirring process are obtained; setting initial conditions of a pre-constructed simulation model according to the first detection data, and performing simulation analysis to obtain a plurality of simulation data at different moments; and comparing the simulation data and the second detection data at the same moment to obtain a verification result. The verification cost can be reduced, and the verification efficiency is improved.

The present invention discloses a cross-chain transaction method based on aggregated zero-knowledge proof, which belongs to the field of cross-chain transaction technology; including: an adaptive adjustment method of system load, optimizing batch size and branching factor; a cross-chain block aggregation method of a multi-branch balanced Merkle tree, increasing node branching factor; a rebalancing method of a local multi-branch Merkle tree, identifying and synchronizing the differences between local and global cross-chain multi-branch balanced Merkle trees; a secure multi-party computing method, verifying the data integrity of aggregated blocks. The present invention uses a cross-chain block aggregation method of a multi-branch balanced Merkle tree to pass aggregated zero-knowledge proofs between chains to verify the legitimacy of batch cross-chain transactions, significantly reducing the verification cost of cross-chain transactions while maintaining security and versatility; a secure multi-party computing aggregate block integrity verification method is used to ensure that the integrity of aggregated data is not destroyed, thereby preventing potential threats to aggregated data from malicious attacks.

The invention discloses a trust management method and device for heterogeneous devices in an edge computing network, a storage medium and a product, and the method comprises the steps: jointly submitting feature information such as a public key generated by a device unique identifier and a first timestamp to a block chain network to generate a feature record of the device, and when the device accesses the edge computing network, sending the feature information to the block chain network; carrying out legality verification by comparing equipment features with the feature records; equipment in the edge computing network communicates through the TCP message, and a signature and a second timestamp of the equipment are stored in a reserved option of the TCP message; and when it is monitored that the equipment executes a high-risk operation, a log is generated, a log full text and a Merkel tree are stored locally, a root node hash value and a key path node hash value are stored to the block chain network, and log auditing and verification are performed according to the hash values in the block chain network and the Merkel tree, so that trust management of the equipment is realized. According to the invention, the heterogeneous barrier of equipment is broken through, the authentication overhead is reduced, and decentralized trust management is realized.

This application relates to the field of Internet television technology, and provides a method, device, medium, and product for handling tariff disputes based on time slices. The method includes: responding to a tariff dispute handling request, acquiring multi-source business event records associated with a target object, constructing a standard event sequence based on the multi-source business event records, and generating billing time slices based on time nodes in the standard event sequence; determining the billing receivable data under each billing time slice based on the billing strategy corresponding to each billing time slice; comparing the billing receivable data and billed data under each billing time slice to determine the billing difference and the cause of the billing difference; and determining the tariff dispute handling method based on the billing difference and the cause of the billing difference. The time-slice-based tariff dispute handling method provided by this application can effectively reduce verification costs and achieve interpretable accounting of billing differences.

The invention relates to the technical field of computer structure simulation, in particular to a modeling method, system and device for communication between CPU core grains and a readable storage medium, an Ariel simulator is configured for each CPU core grain, and the Ariel simulator comprises a first SST Link communicating with a cache and a memory and a second SST Link communicating with other CPU core grains; each Ariel simulator carries out SST component instantiation based on an SST structure simulation toolkit; wherein each CPU core simulator is internally provided with a second SST Link port, a CPU communication event type and an event processing function, the second SST Link port is used for communicating with other CPU cores, and the event processing function packages a corresponding event and externally provides an API (Application Program Interface). According to the invention, x86 instruction set message passing type analog simulation of the multi-CPU core particle integrated system can be realized.

This invention discloses a smart contract execution method in data asset transactions, belonging to the field of smart contract execution technology. The method includes: based on multiple transaction nodes triggered during smart contract execution, a reputation value is obtained based on the historical transaction execution of each transaction node for hierarchical selection, resulting in a verification layer and an execution layer, each containing multiple transaction nodes; based on each transaction node in the verification layer, signature validity verification is performed, and the validity verification pass rate is compared with a first threshold; in response to a validity verification pass rate greater than or equal to the first threshold, based on the multiple transaction nodes in the execution layer, some transaction nodes are selected for cross-validation, and the cross-validation pass rate is compared with a second threshold; if the cross-validation pass rate is less than the second threshold, cross-validation is performed on all transaction nodes in the execution layer for transaction execution judgment; if the cross-validation pass rate is greater than or equal to the second threshold, the transaction is executed.

The invention discloses an equipment management system and method based on a digital twin technology. According to the invention, the digital twinborn model is constructed to provide a highly realistic virtual copy for the system, and the copy can reflect the state and behavior of actual equipment in real time. Through parameter definition, structural modeling and behavioral modeling of the model design sub-module, the system can create an accurate equipment model, and the model not only contains physical characteristics of equipment, but also can simulate the performance of the equipment under different working conditions. According to the model, the system can perform various simulation experiments and analysis without directly intervening actual equipment, so that the test and verification cost is greatly reduced. Meanwhile, the environmental adaptability evaluation of the model simulation sub-module can predict the performance of the equipment in different working environments, and helps an enterprise to identify potential problems before equipment deployment, thereby avoiding expensive field adjustment and maintenance.

The invention discloses a power supply control circuit, and relates to the technical field of circuits. The power-on process of the power supply control circuit meets the requirement that the secondary power supply is turned on after the output of the primary power supply is stable, the secondary power supply is turned on through the indication of the signal of the indication pin used for representing the output state of the primary power supply, and the power supply control circuit is suitable for various types of primary power supplies; according to the process, the requirement that the secondary power supply completes the power-off process and then the primary power supply is turned off is met, and for secondary power supplies of other models, only the power supply of the last stage in the power-off time sequence needs to be selected as an output signal of the secondary circuit, so that the method is suitable for secondary power supplies of various models. Therefore, the power supply control circuit can be compatible with primary power supplies of different models and secondary power supplies of different models while meeting the time sequence control requirement, and the time sequence control chip does not need to be replaced for the primary power supplies of different models and the secondary power supplies of different models, so that the verification and time cost is reduced, and the time sequence control efficiency is improved. And the time sequence control efficiency is improved.

The application discloses a source code data coupling correctness analysis method and system based on low-layer requirements, evaluates the consistency of data coupling relations between low-layer requirement entries, and evaluates the correctness of source code data coupling based on low-layer requirements. The technical scheme is as follows: based on the traceability relation between source code and low-layer requirements, the data coupling relation based on low-layer requirements is quickly and reversely generated by using the result of source code data coupling analysis, which can be used as the criterion for the correctness of the data coupling relation between low-layer requirement entries, and in turn, can be used as the judgment benchmark for whether the source code data coupling relation conforms to the low-layer requirements, thereby bridging the correctness of the data coupling relation between source code and high-layer requirements. Meanwhile, the software defects, such as the missed low-layer requirement functions in software implementation and the extra introduced redundant codes, can be found.

The utility model discloses a suspension test device, which is used for verifying a suspension system and comprises a quarter suspension equivalent module, the quarter suspension equivalent module comprises a suspension support, a wheel and a vehicle body equivalent part, and the vehicle body equivalent part is provided with a first installation part used for being connected with the suspension system. The wheel is provided with a second installation part used for being connected with a suspension system, the suspension test device has a motion state and a locking state, in the motion state, the vehicle body equivalent part is slidably arranged on the suspension support in the vertical direction, and in the locking state, the vehicle body equivalent part is fixed to the suspension support; and the actuator module comprises an actuator, and the actuator is connected with the wheels and used for pushing the wheels. According to the suspension test device provided by the utility model, an inertia reaction test of a suspension system can be carried out, and a fixed reaction test of the suspension system can also be carried out, so that tool arrangement in the verification process of the suspension system can be reduced, and verification cost is reduced.

The application discloses a kind of intelligent contract execution methods in data asset transaction, belong to intelligent contract execution technical field, comprising: according to the multiple transaction nodes triggered when intelligent contract execution, according to the credit value of each transaction node historical transaction execution judgment, to carry out hierarchical selection, obtain verification layer and execution layer, verification layer and execution layer all include multiple transaction nodes;Based on each transaction node of verification layer, the legality verification of signature is executed, and the legality verification pass rate is compared with the first threshold value;In response to the legality verification pass rate greater than or equal to the first threshold value, based on the multiple transaction nodes of execution layer, extract part of transaction node to execute cross-validation, and the cross-validation pass rate is compared with the second threshold value;If cross-validation pass rate is less than the second threshold value, then based on the cross-validation of all transaction nodes of execution layer, for transaction execution judgment;If cross-validation pass rate is greater than or equal to the second threshold value, then transaction execution.

This invention discloses a piecewise adaptive Kalman track tracking method and apparatus based on residual classification, relating to the field of radar track tracking technology. Addressing the problems of poor adaptability to non-stationary measurement noise environments, parameter dependence on human experience, and complex FPGA implementation in existing track tracking methods, this invention proposes introducing a residual classification decision and piecewise adaptive noise adjustment mechanism into the Kalman filter recursive framework. First, a residual vector is calculated based on the predicted state and measurement data. Then, a classification decision is made using the residual vector, the predicted covariance, and the measurement noise covariance of the previous cycle, outputting the measurement quality level. Next, the measurement noise covariance is updated piecewise adaptively based on the measurement quality level. Finally, the filter gain is calculated based on the updated measurement noise covariance and the predicted covariance to complete the correction and update of the state and covariance.

This invention discloses a simulation method for behavior analysis and intelligent risk early warning based on multimodal information fusion. First, a virtual 3D scene with precise physical properties and programmably controllable environmental parameters is constructed. Second, multimodal raw data streams are synchronously generated within the scene and processed using a physical degradation model based on set environmental parameters to generate data highly consistent with the real world. Third, the degraded data stream is fed into the intelligent system under test (SUT) in real time and automatically compared with the precise ground truth labels generated by the simulation, constructing a closed-loop simulation and performance evaluation system. This method can deeply verify the effectiveness of modules such as environmental perception, dynamic weight adjustment, and intelligent fusion decision-making within the SUT, and supports large-scale automated testing and parameter optimization, thereby systematically improving the system's environmental adaptability, recognition accuracy, and decision robustness under harsh conditions such as low light and high noise.

The invention discloses a rocker arm roller wear degree evaluation method and system and electronic equipment, and relates to the technical field of engines. According to the method, after a design model of the rocker arm roller assembly component is obtained, rigidity matrix data of each part forming the rocker arm roller assembly component is determined based on the design model; inputting the stiffness matrix data and design parameters and lubricating oil parameters of the rocker arm roller assembly component into an elastic liquid dynamic calculation model of the rocker arm roller assembly component to obtain an elastic liquid dynamic calculation result of the rocker arm roller assembly component; and evaluating whether the rocker roller assembly has a wear risk. Therefore, the problems of time consumption and high cost caused by the fact that different design parameters need to be changed to manufacture different sample pieces and then strength durability test verification is carried out when the rocker arm roller is abraded are solved.

The utility model relates to the technical field of detection equipment, in particular to shearing strength testing equipment for a pressing block small assembly O-shaped ring, which comprises a bottom plate, a support, a supporting seat, a pressing plate, a guide block, a force sensor, a pressing cover, an adjusting bolt and a fixing bolt, the lower end of the support is fixed with the bottom plate, the supporting seat is mounted in the center of the support, and two ends of the pressing cover are connected with the support. The middle of the gland is erected on the front side of the supporting base, an adjusting bolt is installed in the middle of the gland, the end of the adjusting bolt penetrates through the gland and then abuts against a force sensor, the force sensor is arranged in an installation groove in the front side of a guide block, the back face of the guide block abuts against a pressing plate, and the front side of the supporting base is covered with the pressing plate. An O-shaped ring installation groove is formed in the contact face of the supporting base and the pressing plate, and the upper end of the pressing plate is connected with the movable end of the loading device. Compared with the prior art, the device provided by the utility model achieves the level fatigue performance verification of O-shaped ring parts, does not need to damage a steering engine assembly sample piece, reduces the verification cost, and shortens the verification period.

The invention belongs to the technical field of radars, and discloses a radar target CPI echo simulation generation method based on accurate electromagnetic calculation. According to the method, target omni-directional broadband electromagnetic scattering characteristics are obtained based on commercial accurate electromagnetic calculation software, and influences of antenna pattern modulation, a target fluctuation model, a Doppler effect and signal processing response are introduced under the conditions of given target course, speed, radar parameters and the like; generalized radar target coherent or non-coherent CPI pulse group echoes suitable for any radar parameters and target type conditions are generated through simulation, the method can be suitable for different targets and radar types, and the credibility of target echo simulation is remarkably improved. According to the method, target omnibearing broadband electromagnetic scattering characteristics are obtained based on commercial accurate electromagnetic calculation software, universal radar target coherent or non-coherent CPI pulse group echoes suitable for any radar parameters and target type conditions are generated through simulation, the method can be suitable for different targets and radar types, and the credibility of target echo simulation is remarkably improved.