Radar-infrared composite fuze semi-physical simulation method based on interference scene

Abstract

The specification discloses a radar infrared composite fuze semi-physical simulation method based on an interference scene, and relates to the technical field of infrared light characteristic measurement. The method comprises the following steps: according to the parameters of an intercepted target, an interference target, an intercepted missile and a composite fuze set according to an interference scene, performing guidance control trajectory simulation to obtain the position and attitude time-domain variation relationship of the composite fuze, the intercepted target and the interference target; performing target characteristic modeling to obtain radar infrared characteristic data of the intercepted target and the interference target; performing composite fuze digital signal simulation to calculate and generate radar digital detection signals and infrared digital detection signals detected by the composite fuze; performing semi-physical simulation on the radar digital detection signals and the infrared digital detection signals, and mapping the radar digital detection signals and the infrared digital detection signals into radar signals and infrared signals; and feeding the radar signals and the infrared signals into a composite fuze detection system. The method can solve the problem that the existing composite detection semi-physical simulation method cannot be applied to fuzes and cannot meet the verification requirements in complex interference scenes.

Description

Technical Field

[0001] This manual relates to the field of infrared optical characteristic measurement technology, and in particular to a hardware-in-the-loop simulation method for radar infrared composite fuses based on interference scenarios. Background Technology

[0002] Both radar and infrared detection can detect targets entering an area. Radar detection has ranging and velocity measurement capabilities and supports all-weather penetrating detection, while infrared detection is sensitive to heat sources and has strong resistance to electronic interference. Radar-infrared combined detection is considered the most advantageous combined detection method currently available, and radar-infrared combined fuze detection systems are therefore widely designed and researched. Consequently, the key to verifying radar-infrared combined fuze detection systems lies in how to scientifically and realistically construct simulation environments to simulate target detection under complex scenarios, especially under interference scenarios.

[0003] In the field of hardware-in-the-loop simulation for composite detection, foreign countries have built hardware-in-the-loop simulation facilities for composite seekers such as infrared / laser composite and infrared / radar composite seekers, which can support the testing and evaluation of composite seekers. Domestic research on hardware-in-the-loop simulation for composite detection has also been conducted. For optical / RF composite seeker hardware-in-the-loop simulation systems, a compact field and five-axis stage approach or a vertical five-axis turntable scheme has been adopted, which can support the construction of hardware-in-the-loop simulation systems for composite seekers.

[0004] While research on composite detection hardware-in-the-loop simulation systems has made significant progress, it has primarily focused on seeker detection systems. Research on fuze hardware-in-the-loop simulation systems, especially fuze hardware-in-the-loop simulation methods, is relatively limited. Seeker hardware-in-the-loop simulation methods are not applicable to fuzes, whose performance verification typically relies on field rail tests with relatively simple scenarios that struggle to simulate increasingly complex battlefield environments, particularly under complex jamming conditions. The main advantage of radio frequency / infrared composite detection systems lies in their ability to adapt to complex scenarios, especially complex target situations under various jamming conditions, thereby improving missile anti-jamming capabilities. Therefore, establishing a radar-infrared composite fuze hardware-in-the-loop simulation method based on jamming scenarios is of great significance for evaluating the target detection and recognition capabilities of composite fuze detection systems, particularly their anti-jamming capabilities under complex scenarios. Summary of the Invention

[0005] The purpose of this invention is to provide a semi-physical simulation method for radar infrared composite fuses based on interference scenarios, in order to solve the problem that existing composite detection semi-physical simulation methods cannot be applied to fuses and cannot meet the verification requirements under complex interference scenarios.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] This manual provides a hardware-in-the-loop simulation method for radar-infrared composite fuses based on interference scenarios, including:

[0008] Based on the parameters of the intercept target, jamming target, interceptor missile, and composite fuze set in the jamming scenario, guidance and control trajectory simulation is performed to obtain the temporal variation relationship of the position and attitude of the composite fuze, interceptor target, and jamming target.

[0009] Based on the parameters of the interception target and the jamming target set in the jamming scenario, target characteristic modeling is performed to obtain radar infrared characteristic data of the interception target and the jamming target;

[0010] Based on the temporal variation relationship of the position and attitude of the composite fuze, the interception target, and the jamming target, the radar and infrared characteristic data of the interception target and the jamming target, and the parameters of the composite fuze, a digital signal simulation of the composite fuze is performed to calculate and generate the radar digital detection signal and the infrared digital detection signal for the composite fuze detection; the radar digital detection signal and the infrared digital detection signal are used to describe the digital signals characterizing the energy changes of the target; wherein:

[0011] The steps for calculating and generating the radar digital detection signal for composite fuse detection include:

[0012] By combining the temporal changes in the position and attitude of the composite fuze, the intercepted target, and the jamming target, as well as the radar characteristic data of the intercepted target and the jamming target, the radar cross-section and radar detection radial distance of the intercepted target and the jamming target are calculated; based on the composite fuze parameters, waveform parameters and transmission channel parameters are set, and the signal energy transmitted by the transmission channel is calculated; based on the radar cross-section and radar detection radial distance, the signal energy obtained by spatial transmission attenuation and target reflection is calculated;

[0013] Based on the composite fuse parameters, the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and a radar digital detection signal is generated through signal processing.

[0014] The step of calculating and generating the infrared digital detection signal for the composite fuze includes:

[0015] Based on Planck's law, and combining the temporal variation relationship of the position and attitude of the composite fuse, the intercepted target, and the jamming target, as well as the infrared characteristic data of the intercepted target and the jamming target, the radiated energy of the intercepted target and the jamming target is calculated. Based on the radiated energy of the intercepted target and the jamming target, and through atmospheric attenuation and optical system simulation, the rate of change of the physical quantity of the sensitive element of the simulated infrared detector is calculated. The rate of change of the physical quantity is then input as an electrical signal into the analog signal conditioning circuit and the analog-to-digital conversion circuit for signal processing to obtain the infrared digital detection signal.

[0016] The radar digital detection signal and the infrared digital detection signal are subjected to hardware-in-the-loop simulation. The radar digital detection signal is mapped to a radar signal through a radar simulator, and the infrared digital detection signal is mapped to an infrared signal through an infrared simulator. The radar simulator includes a simulator that can map changes in target energy, and the infrared simulator includes a simulator that can map changes in target energy.

[0017] The radar and infrared signals are fed into the composite fuze detection system to verify its functionality and performance.

[0018] Based on the above technical solution, this specification can achieve the following technical effects:

[0019] This invention establishes a semi-physical simulation method for radar infrared composite fuses based on interference scenarios. It can identify and evaluate the detection performance and anti-interference capability of radar infrared composite fuses in the laboratory, verify the anti-interference capability and correct activation capability of composite fuses in complex scenarios, avoid the construction of complex field test environments, and has good economic efficiency.

[0020] This invention uses guidance and control simulation to determine the relative position and attitude relationship between the fuze, the intercepting target, and the jamming target. It can realistically simulate the changes in the fuze detection position under real environment. Through the mapping of physical signals, it can also realistically drive the response of the composite fuze signal. The simulation level can realistically approximate the field flight test.

[0021] This invention pre-calculates a composite response digital signal by simulating the target characteristics and determining the motion position relationship, and maps it to a physical signal during simulation, thus exhibiting high real-time performance.

[0022] This invention can flexibly switch between hardware-in-the-loop simulation and digital simulation depending on the hardware conditions of the system, thus offering high flexibility. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating the semi-physical simulation method for radar-infrared composite fuses based on interference scenarios provided in Embodiment 1 of this specification.

[0024] Figure 2 This is a schematic flowchart of the semi-physical simulation method for radar infrared composite fuse based on interference scenarios provided in Embodiment 1 of this specification;

[0025] Figure 3 These are schematic diagrams of the target infrared characteristics provided in Examples 1 and 2 of this specification;

[0026] Figure 4 These are schematic diagrams of the target electromagnetic scattering characteristics provided in Examples 1 and 2 of this specification;

[0027] Figure 5These are the radio frequency noise simulation diagrams provided in Examples 1 and 2 of this specification;

[0028] Figure 6 These are schematic diagrams of the hardware systems corresponding to the radar detection simulation models provided in Examples 1 and 2 of this specification;

[0029] Figure 7 These are schematic diagrams of the hardware systems corresponding to the infrared detection simulation models provided in Examples 1 and 2 of this specification;

[0030] Figure 8 This is a schematic diagram of the radar infrared composite fuse hardware simulation system provided in Examples 1 and 3 of this specification;

[0031] Figure 9 This is a flowchart illustrating the digital simulation method for radar-infrared composite fuses based on interference scenarios provided in Embodiment 2 of this specification.

[0032] Figure 10 This is a schematic diagram of the radar infrared composite fuse hardware simulation system based on interference scenarios provided in Embodiment 3 of this specification. Detailed Implementation

[0033] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The advantages and features of the present invention will become clearer from the following description. It should be noted that the drawings are all in a very simplified form and are not to a precise scale, and are only used to facilitate and clarify the illustration of the embodiments of the present invention.

[0034] It should be noted that, in order to clearly illustrate the content of this invention, several embodiments are provided to further explain different implementations of the invention. These embodiments are enumerated rather than exhaustive. Furthermore, for the sake of brevity, content mentioned in the preceding embodiments is often omitted in the following embodiments. Therefore, content not mentioned in the later embodiments can be referred to in the preceding embodiments. Example

[0035] Please refer to Figure 1 , Figure 2 , Figure 1 The diagram shown is a schematic flowchart of the hardware-in-the-loop simulation method for radar-infrared composite fuses based on interference scenarios provided in this embodiment. Figure 2 The diagram shown is a schematic representation of the hardware-in-the-loop simulation method for a radar-infrared composite fuze based on an interference scenario provided in this embodiment. The method specifically includes the following steps:

[0036] Step 101: Based on the parameters of the intercept target, jamming target, interceptor missile, and composite fuze set in the jamming scenario, perform guidance and control trajectory simulation to obtain the temporal variation relationship of the position and attitude of the composite fuze, interceptor target, and jamming target.

[0037] It should be noted that one implementation of step 101 can be:

[0038] Based on the combat scenario, the types of interception targets, jamming targets, and missile weapon systems are selected. At the same time, the parameters of the interception missile, the interception target, and the jamming target are set. Based on the parameter settings, the guidance and control trajectory simulation is performed to obtain the six-degree-of-freedom time-domain changes in the position and attitude of the interception missile, the interception target, and the jamming target before the encounter point.

[0039] The targets to be intercepted include, but are not limited to, typical fighter jets and transport aircraft, while the targets to be jammed include, but are not limited to, towed decoy jamming, chaff jamming, and infrared decoy flares.

[0040] Based on this, the present invention uses guidance and control simulation to determine the relative position and attitude relationship of the fuze, the intercepting target, and the jamming target. It can realistically simulate the changes in the fuze detection position under real environment. Through the mapping of physical signals, it can also realistically drive the response of the composite fuze signal. The simulation level can realistically approximate the field flight test.

[0041] Step 102: Based on the parameters of the interception target and the jamming target set in the jamming scenario, perform target characteristic modeling to obtain the radar infrared characteristic data of the interception target and the jamming target.

[0042] It should be noted that one possible implementation of step 102 is as follows:

[0043] Based on the design of the interception target, the motion characteristics, environmental characteristics, and material characteristics of the jamming target, infrared radiation characteristics simulation is performed to obtain infrared characteristic data of the interception target and the jamming target; electromagnetic scattering characteristics simulation and active jamming radiation characteristics simulation are performed to obtain radar characteristic data of the interception target and the jamming target.

[0044] Among them, the infrared characteristic simulation of the target is based on the aerodynamic characteristic simulation of the target motion as the temperature field input condition, the electromagnetic scattering characteristic simulation method of the target adopts, but is not limited to, the high-frequency approximation method, the numerical method and the hybrid method, and the active radiation pattern of the jamming target adopts, but is not limited to, suppression jamming, deception jamming, and repeater jamming.

[0045] like Figure 3 The image shows the radiation intensity of the intercepted target at various angles under horizontal observation. Electromagnetic simulation software was used to simulate the signal echo, obtaining the electromagnetic scattering characteristics of the intercepted target, such as... Figure 4 The figure shows the simulated RCS of the intercepted target at various angles under horizontal observation. Simultaneously, the active radiation characteristics of the active radio frequency noise are simulated with a noise bandwidth of 50MHz and a noise carrier frequency of 200MHz. The simulated radio frequency noise is shown below. Figure 5 As shown.

[0046] Step 103: Based on the temporal variation relationship of the position and attitude of the composite fuze, the interception target, and the jamming target, the radar infrared characteristic data of the interception target and the jamming target, and the parameters of the composite fuze, perform digital signal simulation of the composite fuze to calculate and generate radar digital detection signals and infrared digital detection signals for composite fuze detection; the radar digital detection signals and infrared digital detection signals are used to describe digital signals characterizing the energy changes of the target; wherein:

[0047] The steps for calculating and generating the radar digital detection signal for composite fuse detection include:

[0048] By combining the temporal changes in the position and attitude of the composite fuze, the intercepted target, and the jamming target, as well as the radar characteristic data of the intercepted target and the jamming target, the radar cross-section and radar detection radial distance of the intercepted target and the jamming target are calculated; based on the composite fuze parameters, waveform parameters and transmission channel parameters are set, and the signal energy transmitted by the transmission channel is calculated; based on the radar cross-section and radar detection radial distance, the signal energy obtained by spatial transmission attenuation and target reflection is calculated;

[0049] Based on the composite fuse parameters, the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and a radar digital detection signal is generated through signal processing.

[0050] The step of calculating and generating the infrared digital detection signal for the composite fuze includes:

[0051] Based on Planck's law, and combining the temporal variation relationship of the position and attitude of the composite fuse, the intercepted target, and the jamming target, as well as the infrared characteristic data of the intercepted target and the jamming target, the radiated energy of the intercepted target and the jamming target is calculated. Based on the radiated energy of the intercepted target and the jamming target, and through atmospheric attenuation and optical system simulation, the rate of change of the physical quantity of the sensitive element of the simulated infrared detector is calculated. The rate of change of the physical quantity is then input as an electrical signal into the analog signal conditioning circuit and the analog-to-digital conversion circuit for signal processing to obtain the infrared digital detection signal.

[0052] It should be noted that one implementation of step 103 can be:

[0053] A digital simulation model of a composite fuse detection system was established, including a radar detection simulation model and an infrared detection simulation model, which can perform composite detection signal-level simulation.

[0054] Among them, such as Figure 6The diagram shows a schematic of the hardware system corresponding to the radar detection simulation model. The waveform generation module generates the radar detection baseband waveform, which can be set to pulse waveform, linear frequency modulated waveform, phase-coded waveform, etc., according to the radar detection operating mode. Waveform parameters such as sampling rate, duty cycle, and signal bandwidth can be set. The radar transmitter amplifies the transmitted signal, and parameters such as transmission gain and phase noise can be set. The transmitting antenna radiates the transmitter signal; the transmitting antenna can be customized based on the actual antenna pattern data of the radar detection system. The signal radiated by the antenna undergoes atmospheric attenuation simulated by the spatial attenuation model, is reflected by the target, and then returns to the receiving antenna after atmospheric attenuation. The receiver model amplifies the signal collected by the receiving antenna, simulating parameters such as receiver gain and noise figure, and then performs matched filtering, spectrum estimation, and other processing through signal processing. Specifically, the radar cross section and radar detection radial distance of the intercepted and jammed targets are calculated based on the temporal variation relationship of position and attitude; the waveform generation module parameters and the transmission parameters of the transmission channel are set, and the signal energy transmitted by the transmission channel is calculated; the transmitted signal energy reaches the target after spatial atmospheric attenuation corresponding to the radial distance, and the target reflection energy is estimated by the radar cross section parameters, and then reaches the receiver after spatial atmospheric attenuation; the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and the signal is sent to signal processing to generate a radar digital detection signal.

[0055] Furthermore, this embodiment provides a calculation process for radar digital detection signals, including:

[0056] By combining the temporal variation relationship of the position and attitude of the composite fuse, the intercepted target and the jamming target, and the radar characteristic data of the intercepted target and the jamming target, the radar cross-section and radar detection radial distance of the intercepted target and the jamming target are calculated.

[0057] Based on the composite fuze parameters, set the waveform parameters and transmission channel parameters, and calculate the signal energy transmitted through the transmission channel.

[0058] Based on the radar cross section and the radar detection radial distance, calculate the signal energy obtained from spatial transmission attenuation and target reflection;

[0059] Based on the composite fuse parameters, the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and the final radar digital detection signal is generated through signal processing.

[0060] Among them, such as Figure 7The diagram shows a schematic of the hardware system corresponding to the infrared detection simulation model. Infrared detection is a passive detection method. The target's spontaneous radiation enters the optical system through atmospheric attenuation. Parameters such as aperture and transmittance can be set according to the optical system. The target's radiated energy is focused by the optical system onto the infrared detector. The infrared detector's sensitive element converts the radiated energy into an electrical signal, which is output by the readout circuit. Then, the signal acquisition system filters, amplifies, and performs analog-to-digital conversion before entering the signal processing system. Specifically, the infrared detection signal simulation process includes: calculating the radiated energy of the intercepted and interfering targets based on the temporal changes in position and attitude; estimating the calculated radiated energy through atmospheric spatial attenuation before inputting it into the optical system; focusing the spatially attenuated target radiated energy onto the simulated infrared detector by the optical system according to the set aperture and transmittance parameters of the optical system; converting the target radiated energy into an electrical signal through the simulated infrared detector; filtering, amplifying, and performing analog-to-digital conversion through the signal conditioning circuit and analog-to-digital conversion circuit before sending it to the signal processing system to generate an infrared digital detection signal.

[0061] Furthermore, this embodiment provides a calculation process for the infrared digital detection signal, including:

[0062] Based on Planck's law, and combining the temporal variation relationship of the position and attitude of the composite fuse, the interception target and the jamming target, as well as the infrared characteristic data of the interception target and the jamming target, the radiated energy of the interception target and the jamming target is calculated.

[0063] Based on the radiant energy of the intercepted and jammed targets, and through atmospheric attenuation and optical system simulation, the rate of change of physical quantities of the sensitive element of the simulated infrared detector is calculated.

[0064] The rate of change of the physical quantity is input as an electrical signal into the analog signal conditioning circuit and the analog-to-digital conversion circuit, and then the signal is processed to obtain the final infrared digital detection signal.

[0065] Based on the target characteristics under a given scenario and the six-degree-of-freedom time-domain variations in the position and attitude of the composite fuze, the intercepting target, and the jamming target, digital simulation of the composite fuze detection system yields the radar and infrared detection digital signals throughout the interception process. The radar and infrared digital detection signals for the composite fuze are characterized as digital signals reflecting changes in target energy, not limited to radar echo data or infrared image data, but can include target radar signal strength data and target infrared intensity data. The simulation outputs of the radar and infrared digital detection signals are signal-level signals that can be transmitted using radar and infrared simulators.

[0066] Based on this, the present invention pre-calculates the composite response digital signal by simulating the target characteristics and determining the motion position relationship, and maps it to a physical signal during simulation, thus having high timeliness.

[0067] Step 104: Perform hardware-in-the-loop simulation on the radar digital detection signal and the infrared digital detection signal. Map the radar digital detection signal to a radar signal using a radar simulator, and map the infrared digital detection signal to an infrared signal using an infrared simulator. The radar simulator includes a simulator that can map changes in target energy, and the infrared simulator includes a simulator that can map changes in target energy.

[0068] It should be noted that one implementation of step 104 can be:

[0069] Build a hardware-in-the-loop simulation system for radar-infrared composite fuses, such as... Figure 8 As shown, the radar-infrared composite hardware-in-the-loop simulation system includes a radar signal simulator, an infrared signal simulator, and a radio frequency infrared coupling system.

[0070] The radar signal simulator is characterized as a simulator that can map changes in the energy of a target, and is not limited to a radar radio frequency simulator. It consists of a radio frequency signal source, a power divider, a jamming simulator, a synthesizer, and an antenna. The jamming simulator can modulate the signal generated by the signal source to produce a jamming signal, which, after being combined with the radio frequency source signal of the intercepting target, interferes with the composite fuse.

[0071] The infrared signal simulator is characterized as a simulator that can map changes in target energy, and is not limited to infrared DMD simulators, infrared resistive array simulators, and infrared power supply simulators. Infrared interference signals and target signals are generated digitally and then directly projected onto the composite fuze detection system via the infrared simulator.

[0072] Based on this, the present invention pre-calculates the composite response digital signal by simulating the target characteristics and determining the motion position relationship, and maps it to a physical signal during simulation, thus having high timeliness.

[0073] Step 105: Feed the radar signal and infrared signal into the composite fuze detection system to verify the functionality and performance of the composite fuze detection system.

[0074] It should be noted that one implementation of step 105 can be:

[0075] A composite fuze detection system was constructed using an air-feed method to feed radar and jamming signals into it, verifying the system's signal processing, detection logic, and anti-jamming effectiveness. The fed-in signals included the response signals generated by the jamming target to the composite fuze detection system.

[0076] In summary, this invention establishes a semi-physical simulation method for radar infrared composite fuses based on interference scenarios. This method can identify and evaluate the detection performance and anti-interference capability of radar infrared composite fuses in the laboratory, verify the anti-interference capability and correct activation capability of composite fuses in complex scenarios, avoid the construction of complex field test environments, and has good economic efficiency.

[0077] This invention uses guidance and control simulation to determine the relative position and attitude relationship between the fuze, the intercepting target, and the jamming target. It can realistically simulate the changes in the fuze detection position under real environment. Through the mapping of physical signals, it can also realistically drive the response of the composite fuze signal. The simulation level can realistically approximate the field flight test.

[0078] This invention pre-calculates a composite response digital signal by simulating the target characteristics and determining the motion position relationship, and maps it to a physical signal during simulation, thus exhibiting high timeliness. Example

[0079] Please refer to Figure 9 , Figure 9 The diagram shown is a flowchart of the digital simulation method for radar-infrared composite fuses based on interference scenarios provided in this embodiment. The method specifically includes the following steps:

[0080] Step 201: Based on the parameters of the intercept target, jamming target, interceptor missile, and composite fuze set in the jamming scenario, perform guidance and control trajectory simulation to obtain the temporal changes in the position and attitude of the composite fuze, interceptor target, and jamming target.

[0081] It should be noted that one implementation of step 201 can be:

[0082] Based on the combat scenario, the types of interception targets, jamming targets, and missile weapon systems are selected. At the same time, the parameters of the interception missile, the interception target, and the jamming target are set. Based on the parameter settings, the guidance and control trajectory simulation is performed to obtain the six-degree-of-freedom time-domain changes in the position and attitude of the interception missile, the interception target, and the jamming target before the encounter point.

[0083] The targets to be intercepted include, but are not limited to, typical fighter jets and transport aircraft, while the targets to be jammed include, but are not limited to, towed decoy jamming, chaff jamming, and infrared decoy flares.

[0084] Based on this, the present invention uses guidance and control simulation to determine the relative position and attitude relationship of the fuze, the intercepting target, and the jamming target. It can realistically simulate the changes in the fuze detection position under real environment. Through the mapping of physical signals, it can also realistically drive the response of the composite fuze signal. The simulation level can realistically approximate the field flight test.

[0085] Step 202: Based on the parameters of the interception target and the jamming target set in the jamming scenario, perform target characteristic modeling to obtain the radar infrared characteristic data of the interception target and the jamming target.

[0086] It should be noted that one implementation of step 202 can be:

[0087] Based on the design of the interception target, the motion characteristics, environmental characteristics, and material characteristics of the jamming target, infrared radiation characteristics simulation is performed to obtain infrared characteristic data of the interception target and the jamming target; electromagnetic scattering characteristics simulation and active jamming radiation characteristics simulation are performed to obtain radar characteristic data of the interception target and the jamming target.

[0088] Among them, the infrared characteristic simulation of the target is based on the aerodynamic characteristic simulation of the target motion as the temperature field input condition, the electromagnetic scattering characteristic simulation method of the target adopts, but is not limited to, the high-frequency approximation method, the numerical method and the hybrid method, and the active radiation pattern of the jamming target adopts, but is not limited to, suppression jamming, deception jamming, and repeater jamming.

[0089] like Figure 3 The image shows the radiation intensity of the intercepted target at various angles under horizontal observation. Electromagnetic simulation software was used to simulate the signal echo, obtaining the electromagnetic scattering characteristics of the intercepted target, such as... Figure 4 The figure shows the simulated RCS of the intercepted target at various angles under horizontal observation. Simultaneously, the active radiation characteristics of the active radio frequency noise are simulated with a noise bandwidth of 50MHz and a noise carrier frequency of 200MHz. The simulated radio frequency noise is shown below. Figure 5 As shown.

[0090] Step 203: Based on the temporal variation relationship of the position and attitude of the composite fuze, the interception target, and the jamming target, the radar infrared characteristic data of the interception target and the jamming target, and the parameters of the composite fuze, perform digital signal simulation of the composite fuze to calculate and generate radar digital detection signals and infrared digital detection signals for composite fuze detection. These radar digital detection signals and infrared digital detection signals are used to describe digital signals characterizing target energy changes; wherein:

[0091] The steps for calculating and generating the radar digital detection signal for composite fuse detection include:

[0092] By combining the temporal changes in the position and attitude of the composite fuze, the intercepted target, and the jamming target, as well as the radar characteristic data of the intercepted target and the jamming target, the radar cross-section and radar detection radial distance of the intercepted target and the jamming target are calculated; based on the composite fuze parameters, waveform parameters and transmission channel parameters are set, and the signal energy transmitted by the transmission channel is calculated; based on the radar cross-section and radar detection radial distance, the signal energy obtained by spatial transmission attenuation and target reflection is calculated;

[0093] Based on the composite fuse parameters, the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and a radar digital detection signal is generated through signal processing.

[0094] The step of calculating and generating the infrared digital detection signal for the composite fuze includes:

[0095] Based on Planck's law, and combining the temporal variation relationship of the position and attitude of the composite fuse, the intercepted target, and the jamming target, as well as the infrared characteristic data of the intercepted target and the jamming target, the radiated energy of the intercepted target and the jamming target is calculated. Based on the radiated energy of the intercepted target and the jamming target, and through atmospheric attenuation and optical system simulation, the rate of change of the physical quantity of the sensitive element of the simulated infrared detector is calculated. The rate of change of the physical quantity is then input as an electrical signal into the analog signal conditioning circuit and the analog-to-digital conversion circuit for signal processing to obtain the infrared digital detection signal.

[0096] It should be noted that one implementation of step 203 can be:

[0097] A digital simulation model of a composite fuse detection system was established, including a radar detection simulation model and an infrared detection simulation model, which can perform composite detection signal-level simulation.

[0098] Among them, such as Figure 6 The diagram shows a schematic of the hardware system corresponding to the radar detection simulation model. The waveform generation module generates the radar detection baseband waveform, which can be set to pulse waveform, linear frequency modulated waveform, phase-coded waveform, etc., according to the radar detection operating mode. Waveform parameters such as sampling rate, duty cycle, and signal bandwidth can be set. The radar transmitter amplifies the transmitted signal, and parameters such as transmission gain and phase noise can be set. The transmitting antenna radiates the transmitter signal; the transmitting antenna can be customized based on the actual antenna pattern data of the radar detection system. The signal radiated by the antenna undergoes atmospheric attenuation simulated by the spatial attenuation model, is reflected by the target, and then returns to the receiving antenna after atmospheric attenuation. The receiver model amplifies the signal collected by the receiving antenna, simulating parameters such as receiver gain and noise figure, and then performs matched filtering, spectrum estimation, and other processing through signal processing. Specifically, the radar cross section and radar detection radial distance of the intercepted and jammed targets are calculated based on the temporal variation relationship of position and attitude; the waveform generation module parameters and the transmission parameters of the transmission channel are set, and the signal energy transmitted by the transmission channel is calculated; the transmitted signal energy reaches the target after spatial atmospheric attenuation corresponding to the radial distance, and the target reflection energy is estimated by the radar cross section parameters, and then reaches the receiver after spatial atmospheric attenuation; the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and the signal is sent to signal processing to generate a radar digital detection signal.

[0099] Furthermore, this embodiment provides a calculation process for radar digital detection signals, including:

[0100] By combining the temporal variation relationship of the position and attitude of the composite fuse, the intercepted target and the jamming target, and the radar characteristic data of the intercepted target and the jamming target, the radar cross-section and radar detection radial distance of the intercepted target and the jamming target are calculated.

[0101] Based on the composite fuze parameters, set the waveform parameters and transmission channel parameters, and calculate the signal energy transmitted through the transmission channel.

[0102] Based on the radar cross section and the radar detection radial distance, calculate the signal energy obtained from spatial transmission attenuation and target reflection;

[0103] Based on the composite fuse parameters, the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and the final radar digital detection signal is generated through signal processing.

[0104] Among them, such as Figure 7 The diagram shows a schematic of the hardware system corresponding to the infrared detection simulation model. Infrared detection is a passive detection method. The target's spontaneous radiation enters the optical system through atmospheric attenuation. Parameters such as aperture and transmittance can be set according to the optical system. The target's radiated energy is focused by the optical system onto the infrared detector. The infrared detector's sensitive element converts the radiated energy into an electrical signal, which is output by the readout circuit. Then, the signal acquisition system filters, amplifies, and performs analog-to-digital conversion before entering the signal processing system. Specifically, the infrared detection signal simulation process includes: calculating the radiated energy of the intercepted and interfering targets based on the temporal changes in position and attitude; estimating the calculated radiated energy through atmospheric spatial attenuation before inputting it into the optical system; focusing the spatially attenuated target radiated energy onto the simulated infrared detector by the optical system according to the set aperture and transmittance parameters of the optical system; converting the target radiated energy into an electrical signal through the simulated infrared detector; filtering, amplifying, and performing analog-to-digital conversion through the signal conditioning circuit and analog-to-digital conversion circuit before sending it to the signal processing system to generate an infrared digital detection signal.

[0105] Furthermore, this embodiment provides a calculation process for the infrared digital detection signal, including:

[0106] Based on Planck's law, and combining the temporal variation relationship of the position and attitude of the composite fuse, the interception target and the jamming target, as well as the infrared characteristic data of the interception target and the jamming target, the radiated energy of the interception target and the jamming target is calculated.

[0107] Based on the radiation energy of the intercepted and jammed targets, and through atmospheric attenuation and optical system simulation, the rate of change of physical quantities of the sensitive element of the simulated infrared detector is calculated.

[0108] The rate of change of the physical quantity is input as an electrical signal into the analog signal conditioning circuit and the analog-to-digital conversion circuit, and then the signal is processed to obtain the final infrared digital detection signal.

[0109] Based on the target characteristics under a given scenario and the six-degree-of-freedom time-domain variations in the position and attitude of the composite fuze, the intercepting target, and the jamming target, digital simulation of the composite fuze detection system yields the radar and infrared detection digital signals throughout the interception process. The radar and infrared digital detection signals for the composite fuze are characterized as digital signals reflecting changes in target energy, not limited to radar echo data or infrared image data, but can include target radar signal strength data and target infrared intensity data. The simulation outputs of the radar and infrared digital detection signals are signal-level signals that can be transmitted using radar and infrared simulators.

[0110] Based on this, the present invention pre-calculates the composite response digital signal by simulating the target characteristics and determining the motion position relationship, and maps it to a physical signal during simulation, thus having high timeliness.

[0111] Step 204: Using a digital or line-fed method, feed the radar digital detection signal and the infrared digital detection signal into the composite fuze detection system to verify the functionality and performance of the composite fuze detection system.

[0112] It should be noted that one possible implementation of step 204 is as follows:

[0113] Depending on the hardware conditions of the system, digital or line-fed radar and infrared digital detection signals are fed into the composite fuze detection system to verify its signal processing, detection logic, and anti-jamming performance. The fed-in signals include the response signals generated by the interfering target to the composite fuze detection system.

[0114] Based on this, the present invention can flexibly switch between hardware-in-the-loop simulation and digital simulation according to the hardware equipment conditions included in the system, thus having a high degree of flexibility.

[0115] In summary, this invention establishes a semi-physical simulation method for radar infrared composite fuses based on interference scenarios. This method can identify and evaluate the detection performance and anti-interference capability of radar infrared composite fuses in the laboratory, verify the anti-interference capability and correct activation capability of composite fuses in complex scenarios, avoid the construction of complex field test environments, and has good economic efficiency.

[0116] This invention uses guidance and control simulation to determine the relative position and attitude relationship between the fuze, the intercepting target, and the jamming target. It can realistically simulate the changes in the fuze detection position under real environment. Through the mapping of physical signals, it can also realistically drive the response of the composite fuze signal. The simulation level can realistically approximate the field flight test.

[0117] This invention can flexibly switch between hardware-in-the-loop simulation and digital simulation depending on the hardware conditions of the system, thus offering high flexibility. Example

[0118] Please refer to Figure 10 , Figure 8 , Figure 10 The diagram shown is a schematic of a radar-infrared composite fuze hardware-in-the-loop simulation system based on interference scenarios provided in this embodiment. Figure 8 The diagram shown is a schematic representation of the hardware-in-the-loop radar-infrared composite fuze system provided in this embodiment. The hardware-in-the-loop radar-infrared composite fuze simulation system based on interference scenarios specifically includes:

[0119] The guidance and control trajectory simulation system 301 is used to perform guidance and control trajectory simulation based on the parameters of the intercept target, the jamming target, the interceptor missile and the composite fuze set in the jamming scenario, and to obtain the temporal changes in the position and attitude of the composite fuze, the intercept target and the jamming target.

[0120] The target characteristic modeling system 302 is used to model the target characteristics based on the parameters of the interception target and the jamming target set in the jamming scenario, and obtain the radar infrared characteristic data of the interception target and the jamming target.

[0121] The composite fuze digital simulation system 303 is used to perform digital signal simulation of the composite fuze based on the temporal variation relationship of the position and attitude of the composite fuze, the interception target, and the jamming target, the radar and infrared characteristic data of the interception target and the jamming target, and the parameters of the composite fuze. It calculates and generates radar digital detection signals and infrared digital detection signals for composite fuze detection. The radar digital detection signals and infrared digital detection signals are used to describe digital signals characterizing target energy changes. Wherein:

[0122] The steps for calculating and generating the radar digital detection signal for composite fuse detection include:

[0123] By combining the temporal changes in the position and attitude of the composite fuze, the intercepted target, and the jamming target, as well as the radar characteristic data of the intercepted target and the jamming target, the radar cross-section and radar detection radial distance of the intercepted target and the jamming target are calculated; based on the composite fuze parameters, waveform parameters and transmission channel parameters are set, and the signal energy transmitted by the transmission channel is calculated; based on the radar cross-section and radar detection radial distance, the signal energy obtained by spatial transmission attenuation and target reflection is calculated;

[0124] Based on the composite fuse parameters, the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and a radar digital detection signal is generated through signal processing.

[0125] The step of calculating and generating the infrared digital detection signal for the composite fuze includes:

[0126] Based on Planck's law, and combining the temporal variation relationship of the position and attitude of the composite fuse, the intercepted target, and the jamming target, as well as the infrared characteristic data of the intercepted target and the jamming target, the radiated energy of the intercepted target and the jamming target is calculated. Based on the radiated energy of the intercepted target and the jamming target, and through atmospheric attenuation and optical system simulation, the rate of change of the physical quantity of the sensitive element of the simulated infrared detector is calculated. The rate of change of the physical quantity is then input as an electrical signal into the analog signal conditioning circuit and the analog-to-digital conversion circuit for signal processing to obtain the infrared digital detection signal.

[0127] The composite fuse hardware-in-the-loop simulation system 304 is used to perform hardware-in-the-loop simulation of the radar digital detection signal and the infrared digital detection signal. The radar digital detection signal is mapped to a radar signal through a radar simulator, and the infrared digital detection signal is mapped to an infrared signal through an infrared simulator. The radar simulator includes a simulator that can map changes in target energy, and the infrared simulator includes a simulator that can map changes in target energy.

[0128] The composite fuze detection system 305 is used to feed the radar signal and infrared signal into the composite fuze detection system to verify the functional performance of the composite fuze detection system.

[0129] In summary, this invention establishes a semi-physical simulation system for radar infrared composite fuses based on interference scenarios. It can identify and evaluate the detection performance and anti-interference capability of radar infrared composite fuses in the laboratory, verify the anti-interference capability and correct activation capability of composite fuses in complex scenarios, avoid the construction of complex field test environments, and has good economic efficiency.

[0130] This invention uses guidance and control simulation to determine the relative position and attitude relationship between the fuze, the intercepting target, and the jamming target. It can realistically simulate the changes in the fuze detection position under real environment. Through the mapping of physical signals, it can also realistically drive the response of the composite fuze signal. The simulation level can realistically approximate the field flight test.

[0131] This invention pre-calculates a composite response digital signal by simulating the target characteristics and determining the motion position relationship, and maps it to a physical signal during simulation, thus exhibiting high real-time performance.

[0132] This invention can flexibly switch between hardware-in-the-loop simulation and digital simulation depending on the hardware conditions of the system, thus offering high flexibility.

[0133] The above description is merely an embodiment of this specification and is not intended to limit this specification. Various modifications and variations can be made to this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this specification should be included within the scope of the claims of this specification.

Claims

1. A semi-physical simulation method for radar-infrared composite fuses based on interference scenarios, characterized in that, include: Based on the parameters of the intercept target, jamming target, interceptor missile, and composite fuze set in the jamming scenario, guidance and control trajectory simulation is performed to obtain the temporal variation relationship of the position and attitude of the composite fuze, interceptor target, and jamming target. Based on the parameters of the interception target and the jamming target set in the jamming scenario, target characteristic modeling is performed to obtain radar infrared characteristic data of the interception target and the jamming target; Based on the temporal variation relationship of the position and attitude of the composite fuze, the interception target, and the jamming target, the radar infrared characteristic data of the interception target and the jamming target, and the parameters of the composite fuze, a digital signal simulation of the composite fuze is performed to calculate and generate the radar digital detection signal and the infrared digital detection signal for composite fuze detection; the radar digital detection signal and the infrared digital detection signal are digital signals used to characterize the target energy change; wherein: The steps for calculating and generating the radar digital detection signal for composite fuse detection include: By combining the temporal changes in the position and attitude of the composite fuze, the intercepted target, and the jamming target, as well as the radar characteristic data of the intercepted target and the jamming target, the radar cross-section and radar detection radial distance of the intercepted target and the jamming target are calculated; based on the composite fuze parameters, waveform parameters and transmission channel parameters are set, and the signal energy transmitted by the transmission channel is calculated; based on the radar cross-section and radar detection radial distance, the signal energy obtained by spatial transmission attenuation and target reflection is calculated; Based on the composite fuse parameters, the receiving channel parameters are set, the signal energy received by the receiving channel is calculated, and a radar digital detection signal is generated through signal processing. The step of calculating and generating the infrared digital detection signal for the composite fuze includes: Based on Planck's law, and combining the temporal variation relationship of the position and attitude of the composite fuse, the intercepted target, and the jamming target, as well as the infrared characteristic data of the intercepted target and the jamming target, the radiated energy of the intercepted target and the jamming target is calculated. Based on the radiated energy of the intercepted target and the jamming target, and through atmospheric attenuation and optical system simulation, the rate of change of the physical quantity of the sensitive element of the simulated infrared detector is calculated. The rate of change of the physical quantity is then input as an electrical signal into the analog signal conditioning circuit and the analog-to-digital conversion circuit for signal processing to obtain the infrared digital detection signal. The radar digital detection signal and the infrared digital detection signal are subjected to hardware-in-the-loop simulation. The radar digital detection signal is mapped to a radar signal through a radar simulator, and the infrared digital detection signal is mapped to an infrared signal through an infrared simulator. The radar simulator includes a simulator that can map changes in target energy, and the infrared simulator includes a simulator that can map changes in target energy. The radar and infrared signals are fed into the composite fuze detection system to verify its functionality and performance.

2. The method according to claim 1, characterized in that, The step of modeling target characteristics based on the parameters of the interception target and the jamming target set in the jamming scenario to obtain radar infrared characteristic data of the interception target and the jamming target includes: Based on the motion characteristics, environmental characteristics, and material characteristics of the interception target and the jamming target set in the interference scenario, the infrared radiation characteristics of the target are simulated to obtain the infrared characteristic data of the interception target and the jamming target. Based on the motion characteristics, environmental characteristics, and material characteristics of the interception target and the jamming target set in the jamming scenario, the electromagnetic scattering characteristics of the target and the active jamming radiation characteristics are simulated to obtain the radar characteristic data of the interception target and the jamming target.

3. The method according to claim 2, characterized in that, The process involves simulating the infrared radiation characteristics of the intercepted and interfering targets based on the interference scenario, their motion characteristics, environmental characteristics, and material characteristics, to obtain infrared characteristic data for both the intercepted and interfering targets. This includes: Based on the motion characteristics, environmental characteristics, and material characteristics of the interception and interference targets set in the interference scenario, the infrared radiation characteristics of the targets are simulated using the inverse Monte Carlo method to obtain the infrared characteristic data of the interception and interference targets.

4. The method according to claim 2, characterized in that, The process involves simulating the electromagnetic scattering characteristics and active interference radiation characteristics of the target, based on the motion characteristics, environmental characteristics, and material characteristics of the interception target and the interference target within the established interference scenario. This yields radar characteristic data for both the interception and interference targets, including: The electromagnetic scattering characteristics of the target are simulated using high-frequency approximation, numerical methods, or hybrid methods.

5. The method according to claim 2, characterized in that, The process involves simulating the electromagnetic scattering characteristics and active interference radiation characteristics of the target, based on the motion characteristics, environmental characteristics, and material characteristics of the interception target and the interference target within the established interference scenario. This yields radar characteristic data for both the interception and interference targets, including: Active interference radiation characteristics are simulated using suppression jamming, deception jamming, or repeater jamming patterns.

6. The method according to claim 2, characterized in that, The step of performing digital signal simulation of the composite fuze based on the temporal variation relationship of the position and attitude of the composite fuze, the interception target, and the jamming target, the radar infrared characteristic data of the interception target and the jamming target, and the parameters of the composite fuze, and calculating and generating the radar digital detection signal and infrared digital detection signal for composite fuze detection, includes: A digital simulation model of a composite fuze detection system is constructed, which includes a radar detection simulation model and an infrared detection simulation model; The radar detection signal is simulated using a radar detection simulation model, and the radar digital detection signal for composite fuse detection is calculated and generated. Infrared detection signals are simulated using an infrared detection simulation model, and infrared digital detection signals for composite fuse detection are calculated and generated.

7. The method according to claim 1, characterized in that, After performing digital signal simulation of the composite fuze based on the temporal variation relationship of the position and attitude of the composite fuze, the interception target, and the jamming target, the radar infrared characteristic data of the interception target and the jamming target, and the parameters of the composite fuze, and calculating and generating the radar digital detection signal and infrared digital detection signal for composite fuze detection, the method further includes: The radar digital detection signal and the infrared digital detection signal are fed into the composite fuze detection system using either digital or line-fed methods to verify the functionality and performance of the composite fuze detection system.

8. The method according to claim 1, characterized in that, After performing hardware-in-the-loop simulation on the radar digital detection signal and the infrared digital detection signal, mapping the radar digital detection signal to a radar signal using a radar simulator, and mapping the infrared digital detection signal to an infrared signal using an infrared simulator, the method further includes: The radar signal and the infrared signal are directionally coupled using a radio frequency infrared coupling system.

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