A simulation evaluation method for laser jamming effect based on Johnson criterion

By establishing a non-cooperative photoelectric imaging system model, calculating the number of cells before and after laser interference and evaluating the laser interference effect using Johnson's criteria, the problem of the inability to evaluate the laser interference effect in the existing technology is solved, and a more accurate simulation evaluation is achieved.

CN116628955BActive Publication Date: 2025-08-22CHINA XIAN SATELLITE CONTROL CENT
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Patent Information

Application Number
CN202310507305.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-05-08
Publication Date
2025-08-22
Estimated Expiration
2043-05-08

AI Technical Summary

Technical Problem

The existing laser interference effect simulation evaluation methods of photoelectric imaging systems mainly focus on cooperative photoelectric imaging systems, and cannot effectively evaluate the laser interference effect of non-cooperative photoelectric imaging systems.

Method used

By establishing a system model of a non-cooperative photoelectric imaging system, the number of cells before and after laser interference is calculated, and the laser interference effect is evaluated using Johnson's criteria, including calculating the laser interference impact coefficient and changes in the number of cells, and grading the laser interference effect.

Benefits of technology

Accurate simulation evaluation of laser interference effects of non-cooperative photoelectric imaging systems is achieved, and the accuracy of simulation evaluation results is improved.

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Abstract

The present disclosure relates to a method for simulating and evaluating laser interference effects based on the Johnson criterion. The method comprises: establishing a system model of a non-cooperative optoelectronic imaging system, the system model including at least imaging resolution, distance to the detection target, and size of the detection target; calculating the number of pixels before laser interference based on the imaging resolution, distance to the detection target, and size of the detection target; calculating the laser interference influence coefficient; calculating the number of pixels after laser interference based on the number of pixels before laser interference and the laser interference influence coefficient; calculating the laser interference effect based on the number of pixels before laser interference and the number of pixels after laser interference, and simulating and evaluating the laser interference effect using the Johnson criterion. This method can obtain the pixel change of the detection target of the non-cooperative optoelectronic imaging system before and after laser interference, and use the pixel change to simulate and evaluate the laser interference effect, thereby increasing the accuracy of the simulation evaluation results.
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Description

Technical Field

[0001] The present disclosure relates to the field of optoelectronic imaging technology, and in particular to a laser interference effect simulation evaluation method based on the Johnson criterion. Background Art

[0002] The primary task of an optoelectronic imaging system is to detect targets, and its detection capability can be determined using the Johnson criterion. Johnson's criterion experimentally links target detection with equivalent fringe detection. This criterion allows the system's detection capability to be determined using the resolution of the target's equivalent fringes, regardless of their nature or image defects.

[0003] With the continuous development and widespread application of laser jamming technology, simulation and evaluation methods for the laser jamming effects of optoelectronic imaging systems are increasing. Currently, most simulation and evaluation methods for the laser jamming effects of optoelectronic imaging systems focus on cooperative optoelectronic imaging systems that can acquire laser jamming images. These methods utilize the spot characteristics and image features of laser jamming images to simulate and evaluate the jamming effects. However, this simulation and evaluation method is unable to acquire laser jamming images from non-cooperative optoelectronic imaging systems. Therefore, it is necessary to propose a solution to improve one or more of the problems existing in the above-mentioned related technical solutions.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the Invention

[0005] A first aspect of an embodiment of the present disclosure provides a method for simulating and evaluating laser interference effects based on the Johnson criterion, comprising the following steps:

[0006] Establishing a system model of a non-cooperative optoelectronic imaging system, wherein the system model includes at least imaging resolution, a distance to a detected target, and a size of a detected target;

[0007] Calculating the number of pixels before laser interference according to the imaging resolution, the distance of the detection target and the size of the detection target;

[0008] Calculate the laser interference influence coefficient;

[0009] Calculating the number of pixels after laser interference based on the number of pixels before laser interference and the laser interference influence coefficient;

[0010] The laser interference effect is calculated according to the number of pixels before the laser interference and the number of pixels after the laser interference, and the laser interference effect is simulated and evaluated using the Johnson criterion.

[0011] In an exemplary embodiment of the present disclosure, in the step of calculating the number of pixels before laser interference according to the imaging resolution, the distance of the detection target and the size of the detection target,

[0012] The calculation formula for the number of pixels before laser interference includes:

[0013]

[0014] Where S represents the number of pixels before laser interference; G represents the imaging resolution of the non-cooperative optoelectronic imaging system; R represents the distance to the detected target; C represents the size of the detected target; and * represents the product.

[0015] In an exemplary embodiment of the present disclosure, in the step of calculating the laser interference influence coefficient,

[0016] The calculation formula of the laser interference influence coefficient includes:

[0017]

[0018] Where K represents the laser interference influence coefficient; W represents the target power density of laser interference; T represents the laser interference power density threshold of the non-cooperative optoelectronic system; W≤T.

[0019] In an exemplary embodiment of the present disclosure, in the step of calculating the laser interference influence coefficient,

[0020] The calculation formula for the target power density of the laser interference includes:

[0021]

[0022] Where W represents the target power density of laser interference; P represents the output power of the laser; D represents the laser aperture; L represents the distance from the laser to the detection target; β represents the laser beam quality; and λ represents the operating wavelength of the laser.

[0023] In an exemplary embodiment of the present disclosure, in the step of calculating the number of pixels after laser interference based on the number of pixels before laser interference and the laser interference influence coefficient,

[0024] The calculation formula for the number of pixels after laser interference includes:

[0025] S′=S*K (4)

[0026] Where S′ represents the number of pixels after laser interference; S represents the number of pixels before laser interference; * represents the product; and K represents the laser interference influence coefficient.

[0027] In an exemplary embodiment of the present disclosure, in the step of calculating the laser interference effect according to the number of pixels before the laser interference and the number of pixels after the laser interference, and performing simulation evaluation on the laser interference effect using the Johnson criterion,

[0028] The calculation formula of the laser interference effect includes:

[0029] ΔS=SS′ (5)

[0030] Where ΔS represents the laser interference effect; S′ represents the number of pixels after laser interference; S represents the number of pixels before laser interference, and S′ is smaller than S.

[0031] In an exemplary embodiment of the present disclosure, in the step of calculating the laser interference effect according to the number of pixels before the laser interference and the number of pixels after the laser interference, and performing simulation evaluation on the laser interference effect using the Johnson criterion,

[0032] The Johnson Criteria includes the discovery level, identification level and confirmation level, among which,

[0033] The discovery level is that the imaging of the detection target occupies 1.5 or more pixels in the critical size direction;

[0034] The recognition level is that the imaging of the detection target occupies 6 or more pixels in the critical size direction;

[0035] The confirmation level is that the imaging of the detection target occupies 12 or more pixels in the critical size direction.

[0036] In an exemplary embodiment of the present disclosure, in the step of calculating the laser interference effect according to the number of pixels before the laser interference and the number of pixels after the laser interference, and simulating and evaluating the laser interference effect using the Johnson criterion,

[0037] The laser interference effect ΔS is simulated and evaluated using the Johnson criterion as follows:

[0038] When ΔS<1.5, it indicates that the laser interference effect ΔS does not reach the discovery level;

[0039] When 1.5≤ΔS<6, it indicates that the laser interference effect ΔS has reached the discovery level and is between the discovery level and the recognition level;

[0040] When 6≤ΔS<12, it indicates that the laser interference effect ΔS has reached the recognition level and is between the recognition level and the confirmation level;

[0041] When ΔS≥12, it indicates that the laser interference effect ΔS has reached the confirmation level.

[0042] A second aspect of the embodiments of the present disclosure provides a laser interference effect simulation and evaluation system based on the Johnson criterion, the laser interference effect simulation and evaluation system comprising: a laser interference module, a pixel module, and a simulation and evaluation module, wherein the pixel module is connected to the laser interference module and the simulation and evaluation module respectively;

[0043] The laser interference module is used to output laser interference to the pixel module;

[0044] The simulation evaluation module is used to calculate the laser interference effect of the pixel module before and after being interfered by the laser interference module, and to perform simulation evaluation on the laser interference effect.

[0045] In an exemplary embodiment of the present disclosure, the pixel module includes a pre-laser interference pixel submodule and a post-laser interference pixel submodule.

[0046] The technical solution provided by the present disclosure may include the following beneficial effects: The present disclosure proposes a method for simulating and evaluating laser interference effects based on the Johnson criterion. The method combines the Johnson criterion of the optoelectronic imaging system with the laser interference influence coefficient, and on this basis calculates the number of pixels of the non-cooperative optoelectronic imaging system imaging its detection target, thereby achieving a simulation evaluation of the laser interference effect of the laser interference non-cooperative optoelectronic imaging system based on the change in the number of pixels of the detection target before and after the laser interference. The method proposed in the present disclosure can obtain the pixel change of the detection target of the non-cooperative optoelectronic imaging system before and after the laser interference, and use the pixel change to simulate and evaluate the laser interference effect, thereby increasing the accuracy of the simulation evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, serve to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0048] Figure 1 A schematic diagram illustrating the steps of a laser interference effect simulation evaluation method based on the Johnson criterion in an exemplary embodiment of the present disclosure is shown;

[0049] Figure 2 A schematic flow chart illustrating a method for simulating and evaluating laser interference effects based on the Johnson criterion in an exemplary embodiment of the present disclosure is shown;

[0050] Figure 3A block diagram of a laser interference effect simulation and evaluation system based on the Johnson criterion in an exemplary embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0051] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0052] In addition, the accompanying drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0053] The first aspect of this exemplary embodiment provides a laser interference effect simulation evaluation method based on Johnson criterion, such as Figure 1 As shown, the following steps may be included:

[0054] Step S101: establishing a system model of a non-cooperative optoelectronic imaging system, wherein the system model at least includes imaging resolution, distance to a detection target, and size of a detection target.

[0055] Step S102: Calculate the number of pixels before laser interference based on the imaging resolution, the distance to the detection target, and the size of the detection target.

[0056] Step S103: Calculate the laser interference influence coefficient.

[0057] Step S104: Calculate the number of pixels after the laser interference based on the number of pixels before the laser interference and the laser interference influence coefficient.

[0058] Step S105: Calculate the laser interference effect based on the number of pixels before and after the laser interference, and perform simulation evaluation on the laser interference effect using Johnson criterion.

[0059] In the embodiment of the present disclosure, a method for simulating and evaluating the laser interference effect based on the Johnson criterion is proposed. The method combines the Johnson criterion of the optoelectronic imaging system with the laser interference influence coefficient, and on this basis calculates the number of pixels of the non-cooperative optoelectronic imaging system imaging its detection target, thereby realizing a simulation evaluation of the laser interference effect of the laser interference non-cooperative optoelectronic imaging system based on the change in the number of pixels of the detection target before and after the laser interference. The method proposed in the present disclosure can obtain the pixel change of the detection target of the non-cooperative optoelectronic imaging system before and after the laser interference, and use the pixel change to simulate and evaluate the laser interference effect, thereby increasing the accuracy of the simulation evaluation results.

[0060] Below, each step of the above method in this exemplary embodiment will be described in more detail. Figure 2 As shown,

[0061] In step S101, a non-cooperative optoelectronic imaging system refers to an optoelectronic imaging system that cannot obtain effective information such as spot characteristics and image features through normal cooperative channels and means. In order to realize the feasibility of the proposed method, the present disclosure first establishes a system model of a non-cooperative optoelectronic imaging system in this embodiment. The system model includes imaging resolution, distance to the detection target, and size of the detection target. The purpose of establishing this system model is to establish a relationship between the laser interference influence coefficient of the non-cooperative optoelectronic imaging system and the change in the number of pixels before and after the system is subjected to laser interference, and to use the Johnson criterion to simulate and evaluate the laser interference effect of the laser interference on the non-cooperative optoelectronic imaging system.

[0062] In step S102, to achieve the above purpose, it is first necessary to calculate the number of pixels in the non-cooperative optoelectronic imaging system before laser interference. The number of pixels before laser interference is related to the imaging resolution of the system, the distance to the detection target, and the size of the detection target.

[0063] Specifically, the calculation formula for the number of pixels before laser interference is:

[0064]

[0065] Where S represents the number of pixels before laser interference; G represents the imaging resolution of the non-cooperative optoelectronic imaging system; R represents the distance to the detected target; C represents the size of the detected target; and * represents the product.

[0066] In step S103 , secondly, the laser interference influence coefficient needs to be calculated based on the relationship between the laser interference influence coefficient, the target power density of the laser interference, and the laser interference power density threshold of the non-cooperative optoelectronic system.

[0067] Specifically, the calculation formula for the laser interference influence coefficient is:

[0068]

[0069] Where K represents the laser interference influence coefficient; W represents the target power density of laser interference; T represents the laser interference power density threshold of the non-cooperative optoelectronic system; W≤T.

[0070] Furthermore, the target power density of laser interference is calculated as follows:

[0071]

[0072] Where W represents the target power density of laser interference; P represents the output power of the laser; D represents the laser aperture; L represents the distance from the laser to the detection target; β represents the laser beam quality; and λ represents the operating wavelength of the laser.

[0073] In step S104, once again, after obtaining the number of pixels before laser interference and the laser interference influence coefficient of the non-cooperative optoelectronic imaging system, the relationship between the two can be used to calculate the number of pixels after laser interference of the system.

[0074] Specifically, the calculation formula for the number of pixels after laser interference is:

[0075] S′=S*K (4)

[0076] Where S′ represents the number of pixels after laser interference; S represents the number of pixels before laser interference; * represents the product; and K represents the laser interference influence coefficient.

[0077] Finally, in step S105, the laser interference effect is obtained by the change in the number of pixels before and after the system is interfered with by the laser. Here, since the system is interfered with by the laser, the change in the number of pixels is affected. Therefore, the number of pixels before the laser interference should be greater than the number of pixels after the laser interference.

[0078] Specifically, the calculation formula for the laser interference effect is:

[0079] ΔS=SS′ (5)

[0080] Where ΔS represents the laser interference effect; S′ represents the number of pixels after laser interference; S represents the number of pixels before laser interference, and S′ is smaller than S.

[0081] Furthermore, Johnson's criterion can be divided into three levels: discovery level, identification level, and confirmation level. The specific definition is to find a detection target in the field of view.

[0082] When the image of the detection target occupies 1.5 or more pixels in the critical size direction, it is at the discovery level;

[0083] When the image of the detected target occupies 6 or more pixels in the critical size direction, it is at the recognition level;

[0084] When the imaging of the detection target occupies 12 or more pixels in the critical size direction, it is at the confirmation level.

[0085] More specifically, the laser interference effect ΔS is simulated and evaluated using the Johnson criterion as follows:

[0086] When ΔS < 1.5, it means that the laser interference effect ΔS has not reached the discovery level;

[0087] When 1.5≤ΔS<6, it means that the laser interference effect ΔS has reached the discovery level and is between the discovery level and the recognition level;

[0088] When 6≤ΔS<12, it means that the laser interference effect ΔS has reached the recognition level and is between the recognition level and the confirmation level;

[0089] When ΔS≥12, it means that the laser interference effect ΔS has reached the confirmation level.

[0090] The second aspect of this exemplary embodiment provides a laser interference effect simulation evaluation system based on the Johnson criterion. Figure 3 As shown, the laser interference effect simulation evaluation system includes: a laser interference module, a pixel module and a simulation evaluation module, wherein the pixel module is connected to the laser interference module and the simulation evaluation module respectively.

[0091] The laser interference module is used to output laser interference to the pixel module.

[0092] The simulation evaluation module is used to calculate the laser interference effect of the pixel module before and after being interfered by the laser interference module, and to perform simulation evaluation on the laser interference effect.

[0093] Furthermore, the pixel module includes a pre-laser interference pixel submodule and a post-laser interference pixel submodule.

[0094] It should be noted that although several units of the system for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiment of the present disclosure, the features and functions of two or more units described above can be concretized in one unit. Conversely, the features and functions of a unit described above can be further divided into multiple units for concretization. Some or all of the units can be selected according to actual needs to achieve the purpose of the disclosed solution. Those of ordinary skill in the art can understand and implement it without paying creative work.

[0095] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the appended claims.

Claims

1. A laser jamming effect simulation evaluation method based on Johnson criterion, characterized in that: The following steps are involved: Establishing a system model of a non-cooperative optoelectronic imaging system, wherein the system model includes at least imaging resolution, a distance to a detected target, and a size of a detected target; Calculating the number of pixels before laser interference according to the imaging resolution, the distance of the detection target and the size of the detection target; Calculate the laser interference influence coefficient; Calculating the number of pixels after laser interference based on the number of pixels before laser interference and the laser interference influence coefficient; Calculating the laser interference effect according to the number of pixels before the laser interference and the number of pixels after the laser interference, and performing a simulation evaluation on the laser interference effect using the Johnson criterion; The calculation formula of the laser interference effect includes: ΔS=SS′ (5) Wherein, ΔS represents the laser interference effect; S′ represents the number of pixels after laser interference; S represents the number of pixels before laser interference, and S′ is less than S. The said Johnson Criteria includes the discovery level, identification level and confirmation level, where; The discovery level is that the imaging of the detection target occupies 1.5 or more pixels in the critical size direction; The recognition level is that the imaging of the detection target occupies 6 or more pixels in the critical size direction; The confirmation level is that the imaging of the detection target occupies 12 or more pixels in the critical size direction; The laser interference effect ΔS is simulated and evaluated using the Johnson criterion as follows: When ΔS<1.5, it indicates that the laser interference effect ΔS does not reach the discovery level; When 1.5≤ΔS<6, it indicates that the laser interference effect ΔS has reached the discovery level and is between the discovery level and the recognition level; When 6≤ΔS<12, it indicates that the laser interference effect ΔS has reached the recognition level and is between the recognition level and the confirmation level; When ΔS≥12, it indicates that the laser interference effect ΔS has reached the confirmation level.

2. The laser interference effect simulation evaluation method based on Johnson criterion according to claim 1 is characterized in that: In the step of calculating the number of pixels before laser interference according to the imaging resolution, the distance to the detection target and the size of the detection target, The calculation formula for the number of pixels before laser interference includes: Where S represents the number of pixels before laser interference; G represents the imaging resolution of the non-cooperative optoelectronic imaging system; R represents the distance to the detected target; C represents the size of the detected target; and * represents the product.

3. The laser interference effect simulation evaluation method based on Johnson criterion according to claim 2 is characterized in that: In the step of calculating the laser interference influence coefficient, The calculation formula of the laser interference influence coefficient is: include: Where K represents the laser interference influence coefficient; W represents the target power density of laser interference; T represents the laser interference power density threshold of the non-cooperative optoelectronic system; W≤T.

4. The laser interference effect simulation evaluation method based on Johnson criterion according to claim 3 is characterized in that: In the step of calculating the laser interference influence coefficient, The calculation formula for the target power density of the laser interference includes: Where W represents the target power density of laser interference; P represents the output power of the laser; D represents the laser aperture; L represents the distance from the laser to the detection target; β represents the laser beam quality; and λ represents the operating wavelength of the laser.

5. The laser interference effect simulation evaluation method based on Johnson criterion according to claim 4 is characterized in that: In the step of calculating the number of pixels after laser interference based on the number of pixels before laser interference and the laser interference influence coefficient, The calculation formula for the number of pixels after laser interference includes: S′=S*K (4) Where S′ represents the number of pixels after laser interference; S represents the number of pixels before laser interference; * represents the product; and K represents the laser interference influence coefficient.

6. A laser jamming effect simulation evaluation system based on Johnson criterion, characterized in that: The system is used to perform the method according to any one of claims 1 to 5, wherein the laser interference effect simulation evaluation system comprises: a laser interference module, a pixel module and a simulation evaluation module, wherein the pixel module is connected to the laser interference module and the simulation evaluation module respectively; The laser interference module is used to output laser interference to the pixel module; The simulation evaluation module is used to calculate the laser interference effect of the pixel module before and after being interfered by the laser interference module, and to perform simulation evaluation on the laser interference effect.

7. The laser interference effect simulation evaluation system based on Johnson criterion according to claim 6, characterized in that: The pixel module includes a pre-laser interference pixel submodule and a post-laser interference pixel submodule.

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