A method for measuring the distortion of a PDV and hartmann wavefront sensor optical system

Abstract

This invention relates to the field of optical measurement technology and discloses a distortion measurement method for a PDV and Hartmann wavefront sensor optical system. The method includes acquiring interference data of the measurement environment in which the optical system is located, analyzing and calculating the interference correction index of the measurement environment, classifying the measurement environment into weak or strong interference environments, and correcting the initial distortion in a strong interference environment. This invention introduces a measurement contribution coefficient calculation mechanism based on signal-to-noise ratio, spatial coverage, and dynamic response time constant, which adaptively allocates the weights of different sensors in the fusion process, thereby improving the accuracy and reliability of distortion reconstruction. More importantly, by constructing an environmental interference correction model that includes temperature, vibration acceleration, and air refractive index, and by quantitatively evaluating the measurement environment through the interference correction index, it can effectively correct the initial distortion results in a strong interference environment.

Description

Technical Field

[0001] This invention relates to the field of optical measurement technology, and in particular to a method for measuring distortion in an optical system using a PDV and a Hartmann wavefront sensor. Background Technology

[0002] In optical systems, distortion is a key factor affecting image quality and measurement accuracy. It manifests as wavefront phase distortion or spot position shift, leading to systematic errors in measurement data. Traditional optical system distortion measurement methods mainly rely on single-type sensors. For example, Hartmann wavefront sensors reconstruct wavefront distortion by detecting the shift of the spot centroid within the sub-aperture of a microlens array. This method has good detection capabilities for static or quasi-static spatial distortion, but its temporal resolution is limited, making it difficult to capture transient distortion changes during high-speed dynamic processes. Meanwhile, photon Doppler velocimetry (PDV) technology can achieve high temporal resolution dynamic velocity measurement by analyzing laser Doppler frequency shift signals, but when used alone, it cannot obtain full-aperture spatial distortion distribution information.

[0003] However, traditional optical system distortion measurement methods rely solely on data from a single sensor for distortion assessment, failing to fully leverage the complementary advantages of different sensors in the spatiotemporal dimensions. This results in incomplete responses to dynamic and spatial distortions. Furthermore, existing measurement processes typically ignore the impact of environmental factors on the measurement results and lack systematic environmental correction mechanisms, leading to decreased accuracy in distortion measurements under complex conditions.

[0004] To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to address the problem that traditional optical system distortion measurement methods rely solely on data from a single sensor for distortion assessment, failing to fully leverage the complementary advantages of different sensors in the spatiotemporal dimensions. This results in incomplete responses to dynamic and spatial distortions in the measurement results. Furthermore, existing measurement processes typically ignore the influence of environmental factors on the measurement results and lack a systematic environmental correction mechanism, leading to a decrease in the accuracy of distortion measurement under complex conditions.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a method for measuring distortion in a PDV and Hartmann wavefront sensor optical system, comprising the following steps: Step 1: Obtain the measurement data of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor in the optical system under test through the optical database. Analyze and calculate the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor respectively. Step 2: Obtain the contribution data of the photon Doppler velocimetry sensor through the optical database, analyze and calculate it to obtain the measurement contribution coefficient of the photon Doppler velocimetry sensor, and calculate the measurement contribution coefficient of the Hartmann wavefront sensor based on the measurement contribution coefficient of the photon Doppler velocimetry sensor. Step 3: Obtain the distortion and measurement contribution coefficients of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor, and perform analysis and calculation to obtain the preliminary distortion of the optical system; Step 4: Obtain interference data of the measurement environment of the optical system through the sensor array, analyze and calculate it to obtain the interference correction index of the measurement environment, divide the measurement environment into weak interference environment or strong interference environment, and in the strong interference environment, perform environmental interference correction on the preliminary distortion variable, and output the corrected distortion measurement result as the comprehensive distortion variable of the optical system.

[0007] Furthermore, the calculation process for the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor is as follows: S11. Acquire and analyze the measurement data of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor in the optical system under test. The measurement data includes the Doppler frequency shift signal frequency, the center wavelength of the laser source, and the measured centroid coordinates of the light spot on the sub-aperture. S12. Calculate the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor using the following formula: in, For the distortion of the photon Doppler velocimetry sensor, The initial time window for a single distortion measurement. The integration interval is the end time window for a single distortion measurement. The time window for a single distortion measurement. Let be the frequency of the Doppler frequency shift signal measured by the photon Doppler velocimetry sensor at time t. Let be the frequency of the reference signal at time t. The center wavelength of the laser source For the distortion of the Hartmann wavefront sensor, This represents the total number of sub-apertures in the microlens array of the Hartmann wavefront sensor. Let be the measured centroid coordinates of the light spot on the i-th sub-aperture. Let be the reference coordinates of the centroid of the light spot under ideal wavefront conditions on the i-th sub-aperture.

[0008] Furthermore, the calculation process for the measurement contribution coefficient of the photon Doppler velocimetry sensor is as follows: S21. Acquire and analyze the contribution data of the photon Doppler velocimetry sensor. The contribution data includes the signal-to-noise ratio, spatial coverage, and dynamic response time constant of the measurement data. The spatial coverage is defined as the ratio of the effective measurement area of ​​the sensor to the total aperture area of ​​the optical system under test. The dynamic response time constant is defined as the reciprocal of the time required for the sensor to output an effective measurement result from receiving the optical signal. S22. Calculate the measurement contribution coefficient of the photon Doppler velocimetry sensor according to the following formula. : in, The signal-to-noise ratio of the data measured by the photon Doppler velocimetry sensor. For the spatial coverage of the photon Doppler velocimetry sensor, The dynamic response time constant of the photon Doppler velocimetry sensor. The signal-to-noise ratio of the Hartmann wavefront sensor measurement data. For the spatial coverage of the Hartmann wavefront sensor, is the dynamic response time constant of the Hartmann wavefront sensor; S23. Calculate the measurement contribution coefficient of the Hartmann wavefront sensor according to the following formula: ,in, The measurement contribution coefficient of the Hartmann wavefront sensor. The contribution coefficient to the measurement of the photon Doppler velocimetry sensor.

[0009] Furthermore, the calculation process for the preliminary distortion of the optical system is as follows: S31. Obtain the distortion and measurement contribution coefficients of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor, and perform analysis and calculation. S32. Calculate the preliminary distortion of the optical system using the following formula. : in, The contribution coefficient to the measurement of the photon Doppler velocimetry sensor. The measurement contribution coefficient of the Hartmann wavefront sensor. For the distortion of the photon Doppler velocimetry sensor, This is the distortion variable of the Hartmann wavefront sensor.

[0010] Furthermore, the calculation process for the interference correction index of the measurement environment is as follows: S41. Acquire and analyze interference data of the measurement environment in which the optical system is located. The interference data includes the temperature, vibration acceleration amplitude and air refractive index data of the measurement environment. S42. Calculate the interference correction index for the measurement environment according to the following formula. : Where T is the temperature of the current measurement environment. For standard reference temperature, This represents the current vibration acceleration amplitude. Here, n represents the reference amplitude of the vibration acceleration, and n is the refractive index of the air in the current environment. Let be the refractive index of air under standard conditions, 'a' be a preset temperature weighting coefficient, 'b' be a preset vibration acceleration weighting coefficient, and 'c' be a preset air refractive index weighting coefficient. The interference correction index of the measurement environment is used to reflect the degree of influence of the measurement environment in which the optical system is located on the distortion measurement.

[0011] Furthermore, the process of classifying the measurement environment into weak interference environments or strong interference environments is as follows: S51. Obtain the preset interference correction threshold. Interference correction index with the measurement environment Comparative analysis, when If the measurement environment of the optical system has a low degree of influence on the distortion measurement, the measurement environment is classified as a weak interference environment. There is no need to correct the initial distortion variable. The initial distortion variable is output as the comprehensive distortion variable of the optical system. S52, when If the measurement environment of the optical system has a high degree of influence on the distortion measurement, the measurement environment is classified as a strong interference environment. It is necessary to correct the comprehensive distortion variable and output the corrected optical system distortion measurement result as the comprehensive distortion variable of the optical system.

[0012] Furthermore, the calculation process for correcting the overall distorted variables is as follows: S61. Obtain preliminary distortion data of the optical system and interference correction index data of the measurement environment, and perform analysis and calculation. S62. Calculate the corrected optical system distortion measurement results according to the following formula. : in, For the initial distortion of the optical system, The interference correction index is measured under strong interference conditions. This is the preset interference correction threshold.

[0013] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This novel distortion measurement method for a PDV and Hartmann wavefront sensor optical system effectively addresses the shortcomings of traditional single-sensor distortion measurement due to incomplete spatiotemporal response. By fusing data from a photonic Doppler velocimetry sensor and a Hartmann wavefront sensor, it leverages the high temporal resolution of the photonic Doppler velocimetry sensor to accurately capture transient distortions during high-speed dynamic processes. Furthermore, by combining the Hartmann wavefront sensor's excellent detection capabilities for static or quasi-static spatial distortions, it significantly enhances the measurement system's comprehensive response to both dynamic and spatial distortions. Moreover, by introducing a measurement contribution coefficient calculation mechanism based on signal-to-noise ratio, spatial coverage, and dynamic response time constant, it adaptively allocates the weights of different sensors during the fusion process, thereby improving the accuracy and reliability of distortion reconstruction. More importantly, by constructing an environmental interference correction model incorporating temperature, vibration acceleration, and air refractive index, and by quantifying the measurement environment through an interference correction index, it effectively corrects preliminary distortion results under strong interference conditions. This overcomes the shortcomings of traditional measurement processes that ignore environmental factors, further enhancing the stability and accuracy of measurement results in complex environments. Attached Figure Description

[0014] Figure 1 A schematic diagram of the method flow of the present invention is shown. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Example: like Figure 1 As shown, a method for measuring distortion in a PDV and Hartmann wavefront sensor optical system includes the following steps: Step 1: Obtain measurement data from the photon Doppler velocimetry (PDV) sensor and the Hartmann wavefront sensor in the optical system under test using an optical database. Analyze and calculate the distortion variables of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor, respectively. The distortion variable of the PDV sensor is calculated based on the deviation between the Doppler frequency shift signal and the reference signal, while the distortion variable of the Hartmann wavefront sensor is calculated based on the deviation between the sub-aperture spot centroid offset and the ideal centroid position. The calculation process for the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor is as follows: S11. Acquire and analyze the measurement data of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor in the optical system under test. The measurement data includes the Doppler frequency shift signal frequency, the center wavelength of the laser source, and the measured centroid coordinates of the light spot on the sub-aperture. S12. Calculate the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor using the following formula: in, For the distortion of the photon Doppler velocimetry sensor, The initial time window for a single distortion measurement. The integration interval is the end time window for a single distortion measurement. The time window for a single distortion measurement. Let be the frequency of the Doppler frequency shift signal measured by the photon Doppler velocimetry sensor at time t. Let be the frequency of the reference signal at time t. The center wavelength of the laser source For the distortion of the Hartmann wavefront sensor, This represents the total number of sub-apertures in the microlens array of the Hartmann wavefront sensor. Let be the measured centroid coordinates of the light spot on the i-th sub-aperture. Let be the reference coordinates of the centroid of the light spot under ideal wavefront conditions on the i-th sub-aperture.

[0017] Step 2: Obtain the contribution data of the photon Doppler velocimetry sensor through the optical database, analyze and calculate it to obtain the measurement contribution coefficient of the photon Doppler velocimetry sensor, and calculate the measurement contribution coefficient of the Hartmann wavefront sensor based on the measurement contribution coefficient of the photon Doppler velocimetry sensor. The calculation process for the measurement contribution coefficient of the photon Doppler velocimetry sensor is as follows: S21. Acquire and analyze the contribution data of the photon Doppler velocimetry sensor. The contribution data includes the signal-to-noise ratio, spatial coverage, and dynamic response time constant of the measurement data. The spatial coverage is defined as the ratio of the effective measurement area of ​​the sensor to the total aperture area of ​​the optical system under test. The dynamic response time constant is defined as the reciprocal of the time required for the sensor to output an effective measurement result from receiving the optical signal. S22. Calculate the measurement contribution coefficient of the photon Doppler velocimetry sensor according to the following formula. : in, The signal-to-noise ratio of the data measured by the photon Doppler velocimetry sensor. For the spatial coverage of the photon Doppler velocimetry sensor, The dynamic response time constant of the photon Doppler velocimetry sensor. The signal-to-noise ratio of the Hartmann wavefront sensor measurement data. For the spatial coverage of the Hartmann wavefront sensor, is the dynamic response time constant of the Hartmann wavefront sensor; S23. Calculate the measurement contribution coefficient of the Hartmann wavefront sensor according to the following formula: ,in, The measurement contribution coefficient of the Hartmann wavefront sensor. The contribution coefficient to the measurement of the photon Doppler velocimetry sensor.

[0018] Step 3: Obtain the distortion and measurement contribution coefficients of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor, and perform analysis and calculation to obtain the preliminary distortion of the optical system; The calculation process for the initial distortion of the optical system is as follows: S31. Obtain the distortion and measurement contribution coefficients of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor, and perform analysis and calculation. S32. Calculate the preliminary distortion of the optical system using the following formula. : in, The contribution coefficient to the measurement of the photon Doppler velocimetry sensor. The measurement contribution coefficient of the Hartmann wavefront sensor. For the distortion of the photon Doppler velocimetry sensor, As the distortion variable of the Hartmann wavefront sensor, the calculation of the preliminary distortion variable of the optical system fully utilizes the high sensitivity of the PDV sensor to dynamic distortion and the global detection advantage of the Hartmann wavefront sensor to spatial distortion distribution, achieving complementary fusion in the spatiotemporal dimensions.

[0019] Step 4: Obtain interference data of the measurement environment of the optical system through the sensor array, analyze and calculate it to obtain the interference correction index of the measurement environment, divide the measurement environment into weak interference environment or strong interference environment, and in the strong interference environment, perform environmental interference correction on the preliminary distortion variable, and output the corrected distortion measurement result as the comprehensive distortion variable of the optical system. The calculation process for the interference correction index of the measurement environment is as follows: S41. Acquire and analyze interference data of the measurement environment in which the optical system is located. The interference data includes the temperature, vibration acceleration amplitude and air refractive index data of the measurement environment. S42. Calculate the interference correction index for the measurement environment according to the following formula. : Where T is the temperature of the current measurement environment. Standard reference temperature (usually taken as) =293.15K), This represents the current vibration acceleration amplitude. Here, n represents the reference amplitude of the vibration acceleration, and n is the refractive index of the air in the current environment. The refractive index of air under standard conditions (usually taken as...) =1.000292), where a is the preset temperature weighting coefficient, b is the preset vibration acceleration weighting coefficient, and c is the preset air refractive index weighting coefficient. The interference correction index of the measurement environment is used to reflect the degree of influence of the measurement environment on the distortion measurement of the optical system. The larger the value of the interference correction index, the higher the degree of influence of the measurement environment on the distortion measurement of the optical system. The smaller the value of the interference correction index, the lower the degree of influence of the measurement environment on the distortion measurement of the optical system.

[0020] The process of classifying the measurement environment into a weak interference environment or a strong interference environment is as follows: S51. Obtain the preset interference correction threshold. Interference correction index with the measurement environment Comparative analysis, when If the measurement environment of the optical system has a low degree of influence on the distortion measurement, the measurement environment is classified as a weak interference environment. There is no need to correct the initial distortion variable. The initial distortion variable is output as the comprehensive distortion variable of the optical system. S52, when If the measurement environment of the optical system has a high degree of influence on the distortion measurement, the measurement environment is classified as a strong interference environment. It is necessary to correct the comprehensive distortion variable and output the corrected optical system distortion measurement result as the comprehensive distortion variable of the optical system.

[0021] The calculation process for correcting the overall distorted variables is as follows: S61. Obtain preliminary distortion data of the optical system and interference correction index data of the measurement environment, and perform analysis and calculation. S62. Calculate the corrected optical system distortion measurement results according to the following formula. : in, For the initial distortion of the optical system, The interference correction index is measured under strong interference conditions. This is the preset interference correction threshold.

[0022] This invention effectively addresses the shortcomings of traditional single-sensor methods in measuring optical system distortion due to incomplete spatiotemporal response. By fusing data from a photonic Doppler velocimetry sensor and a Hartmann wavefront sensor, it not only leverages the high temporal resolution of the photonic Doppler velocimetry sensor to accurately capture transient distortions during high-speed dynamic processes, but also combines the excellent detection capabilities of the Hartmann wavefront sensor for static or quasi-static spatial distortions, significantly improving the overall response capability of the measurement system to dynamic and spatial distortions. Furthermore, by introducing a measurement contribution coefficient calculation mechanism based on signal-to-noise ratio, spatial coverage, and dynamic response time constant, the weights of different sensors in the fusion process can be adaptively allocated, thereby improving the accuracy and reliability of distortion reconstruction. More importantly, by constructing an environmental interference correction model that includes temperature, vibration acceleration, and air refractive index, and by quantifying the measurement environment through an interference correction index, it is possible to effectively correct preliminary distortion results under strong interference conditions. This overcomes the shortcomings of traditional measurement processes that ignore the influence of environmental factors, further enhancing the stability and accuracy of measurement results in complex environments.

[0023] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.

[0024] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method of PDV and Hartmann wavefront sensor optical system distortion measurement, characterized in that, Includes the following steps: Step 1: Obtain the measurement data of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor in the optical system under test through the optical database. Analyze and calculate the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor respectively. Step 2: Obtain the contribution data of the photon Doppler velocimetry sensor through the optical database, analyze and calculate it to obtain the measurement contribution coefficient of the photon Doppler velocimetry sensor, and calculate the measurement contribution coefficient of the Hartmann wavefront sensor based on the measurement contribution coefficient of the photon Doppler velocimetry sensor. Step 3: Obtain the distortion and measurement contribution coefficients of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor, and perform analysis and calculation to obtain the preliminary distortion of the optical system; Step 4: Obtain interference data of the measurement environment of the optical system through the sensor array, analyze and calculate it to obtain the interference correction index of the measurement environment, divide the measurement environment into weak interference environment or strong interference environment, and in the strong interference environment, perform environmental interference correction on the preliminary distortion variable, and output the corrected distortion measurement result as the comprehensive distortion variable of the optical system.

2. The method of claim 1, wherein the Hartmann wavefront sensor optical system is a Hartmann wavefront sensor optical system of a PDV. The calculation process for the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor is as follows: S11. Acquire and analyze the measurement data of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor in the optical system under test. The measurement data includes the Doppler frequency shift signal frequency, the center wavelength of the laser source, and the measured centroid coordinates of the light spot on the sub-aperture. S12. Calculate the distortion of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor using the following formula: in, For the distortion of the photon Doppler velocimetry sensor, The initial time window for a single distortion measurement. The integration interval is the end time window for a single distortion measurement. The time window for a single distortion measurement. Let t be the frequency of the Doppler frequency shift signal measured by the photon Doppler velocimetry sensor. Let be the frequency of the reference signal at time t. The center wavelength of the laser source For the distortion of the Hartmann wavefront sensor, This represents the total number of sub-apertures in the microlens array of the Hartmann wavefront sensor. Let be the measured centroid coordinates of the light spot on the i-th sub-aperture. Let be the reference coordinates of the centroid of the light spot under ideal wavefront conditions on the i-th sub-aperture.

3. The method for measuring distortion in a PDV and Hartmann wavefront sensor optical system according to claim 1, characterized in that, The calculation process for the measurement contribution coefficient of the photon Doppler velocimetry sensor is as follows: S21. Acquire and analyze the contribution data of the photon Doppler velocimetry sensor. The contribution data includes the signal-to-noise ratio, spatial coverage, and dynamic response time constant of the measurement data. The spatial coverage is defined as the ratio of the effective measurement area of ​​the sensor to the total aperture area of ​​the optical system under test. The dynamic response time constant is defined as the reciprocal of the time required for the sensor to output an effective measurement result from receiving the optical signal. S22. Calculate the measurement contribution coefficient of the photon Doppler velocimetry sensor according to the following formula. : in, The signal-to-noise ratio of the data measured by the photon Doppler velocimetry sensor. For the spatial coverage of the photon Doppler velocimetry sensor, The dynamic response time constant of the photon Doppler velocimetry sensor. The signal-to-noise ratio of the Hartmann wavefront sensor measurement data. For the spatial coverage of the Hartmann wavefront sensor, is the dynamic response time constant of the Hartmann wavefront sensor; S23. Calculate the measurement contribution coefficient of the Hartmann wavefront sensor according to the following formula: ,in, The measurement contribution coefficient of the Hartmann wavefront sensor. The contribution coefficient to the measurement of the photon Doppler velocimetry sensor.

4. The method for measuring distortion in a PDV and Hartmann wavefront sensor optical system according to claim 1, characterized in that, The calculation process for the initial distortion of the optical system is as follows: S31. Obtain the distortion and measurement contribution coefficients of the photon Doppler velocimetry sensor and the Hartmann wavefront sensor, and perform analysis and calculation. S32. Calculate the preliminary distortion of the optical system using the following formula. : in, The contribution coefficient to the measurement of the photon Doppler velocimetry sensor. The measurement contribution coefficient of the Hartmann wavefront sensor. For the distortion of the photon Doppler velocimetry sensor, This is the distortion variable of the Hartmann wavefront sensor.

5. The method for measuring distortion in a PDV and Hartmann wavefront sensor optical system according to claim 1, characterized in that, The calculation process for the interference correction index of the measurement environment is as follows: S41. Acquire and analyze interference data of the measurement environment in which the optical system is located. The interference data includes the temperature, vibration acceleration amplitude and air refractive index data of the measurement environment. S42. Calculate the interference correction index for the measurement environment according to the following formula. : Where T is the temperature of the current measurement environment. For standard reference temperature, This represents the current vibration acceleration amplitude. Here, n represents the reference amplitude of the vibration acceleration, and n is the refractive index of the air in the current environment. Let be the refractive index of air under standard conditions, 'a' be a preset temperature weighting coefficient, 'b' be a preset vibration acceleration weighting coefficient, and 'c' be a preset air refractive index weighting coefficient. The interference correction index of the measurement environment is used to reflect the degree of influence of the measurement environment in which the optical system is located on the distortion measurement.

6. The method for measuring distortion in a PDV and Hartmann wavefront sensor optical system according to claim 1, characterized in that, The process of classifying the measurement environment into a weak interference environment or a strong interference environment is as follows: S51. Obtain the preset interference correction threshold. Interference correction index with the measurement environment Comparative analysis, when If the measurement environment of the optical system has a low degree of influence on the distortion measurement, the measurement environment is classified as a weak interference environment. There is no need to correct the initial distortion variable. The initial distortion variable is output as the comprehensive distortion variable of the optical system. S52, when If the measurement environment of the optical system has a high degree of influence on the distortion measurement, the measurement environment is classified as a strong interference environment. It is necessary to correct the comprehensive distortion variable and output the corrected optical system distortion measurement result as the comprehensive distortion variable of the optical system.

7. The method for measuring distortion in a PDV and Hartmann wavefront sensor optical system according to claim 6, characterized in that, The calculation process for correcting the overall distorted variables is as follows: S61. Obtain preliminary distortion data of the optical system and interference correction index data of the measurement environment, and perform analysis and calculation. S62. Calculate the corrected optical system distortion measurement results according to the following formula. : in, For the initial distortion of the optical system, The interference correction index is measured under strong interference conditions. This is the preset interference correction threshold.

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