A method, system, equipment, and storage medium for evaluating the network ranging performance of space debris laser ranging networks.

Abstract

This invention discloses a method, system, device, and storage medium for evaluating the ranging performance of a space debris laser ranging network. Applied to the field of performance evaluation technology for space debris laser ranging networks, the method includes: calculating the number of single-pulse echo photons in the space debris laser ranging network; calculating the probability of the detector detecting photoelectrons based on the Poisson probability distribution; calculating the signal detection probability based on the signal triggering condition of the detector; calculating the probability of the detector not being triggered by noise based on the Poisson probability distribution; and combining the signal detection probability to obtain the single-pulse detection probability of the space debris laser ranging network. This invention achieves effective and accurate evaluation of the ranging performance of space debris laser ranging networks, ensuring accurate target positioning while effectively reducing resource waste.

Description

Technical Field

[0001] This invention relates to the field of performance evaluation technology for space debris laser ranging networks, and in particular to a method, system, equipment, and storage medium for evaluating the ranging performance of space debris laser ranging networks. Background Technology

[0002] Space debris removal is a crucial means of ensuring on-orbit safety, and precise location of space targets is an essential common key technology for space debris removal. Accurate space target location not only enables effective space debris removal but also has significant implications for precise space countermeasures.

[0003] Currently, high-precision target indication for space debris clearance and space warfare is mainly provided through high-precision networked collaborative positioning and measurement technology based on laser ranging for space debris. However, there is still no method to effectively and accurately evaluate the ranging performance of space debris laser ranging networks. Accurate evaluation of the ranging performance of space debris laser ranging networks can provide a valuable reference for selecting networks to perform positioning and measurement for different targets, ensuring accurate target positioning while effectively reducing resource waste.

[0004] Therefore, how to provide a method, system, equipment, and storage medium for evaluating the ranging performance of a space debris laser ranging network that can effectively and accurately assess the ranging performance of the network is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention proposes a method, system, equipment and storage medium for evaluating the ranging performance of a space debris laser ranging network.

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

[0007] A method for evaluating the ranging performance of a space debris laser ranging network includes:

[0008] Step 1: Calculate the number of single-pulse echo photons in the space debris laser ranging network, and calculate the probability of the detector detecting photoelectrons based on the Poisson probability distribution. Calculate the signal detection probability based on the signal triggering detector condition.

[0009] Step 2: Based on the Poisson probability distribution, calculate the probability that the detector will not be triggered by noise, and combine it with the signal detection probability to obtain the single-pulse detection probability of the space debris laser ranging network.

[0010] Optionally, in step 1, the number of single-pulse echo photons in the space debris laser ranging network is calculated as follows:

[0011]

[0012] Where, N s N represents the number of single-pulse echo photons in the space debris laser ranging network; E represents the number of space debris laser ranging stations in the network; t Laser pulse laser energy; θ is Planck's constant; v is the laser photon frequency; θ d Δθ is the laser divergence angle; R is the target distance; Δθ p For laser beam pointing deviation; Δθ j For laser beam tracking deviation; A r For the receiving telescope area; η r For the efficiency of the receiving optical system; η c ρ is the detector quantum efficiency; ρ is the target reflectivity; σ is the target reflective area; T a T represents the atmospheric transmittance in a single pass. c This represents the one-way cirrus cloud transmittance.

[0013] Optionally, in step 1, the probability of the detector detecting photoelectrons is calculated based on the Poisson probability distribution, as follows:

[0014]

[0015] Wherein, P1(k; N s When the average number of photoelectrons per pulse is N s The probability of producing k photoelectrons at a given time; N s The number of single-pulse echo photons for a space debris laser ranging network.

[0016] Optionally, in step 1, the signal detection probability is calculated based on the signal triggering detector conditions, specifically as follows:

[0017] If the signal triggering condition for the detector is the generation of at least one photoelectron, then the signal detection probability is as follows:

[0018]

[0019] Among them, P s P1(0; N) represents the signal detection probability. s When the average number of photoelectrons per pulse is N s The probability of producing 0 photoelectrons.

[0020] Optionally, in step 2, based on the Poisson probability distribution, the probability of the detector not being triggered by noise is calculated as follows:

[0021]

[0022] N noi =(Tgate +T pulse )v n ;

[0023] Wherein, P2(z; N noi When the average noise photoelectron count of a single pulse is N noi The probability of triggering z noisy photoelectrons at a given time; P n P2(0; N) represents the probability that the detector will not be triggered by noise. noi When the average noise photoelectron count of a single pulse is N noi The probability of triggering 0 noise photoelectrons at that time; T gate T is the time from the moment the gate opens to the moment the leading edge of the echo pulse reaches the detector; pulse v is the pulse width of the echo signal. n This represents the total noise rate during the detection process.

[0024] Optionally, in step 2, the single-pulse detection probability of the space debris laser ranging network is obtained based on the probability of not being triggered by noise and combined with the signal detection probability, as follows:

[0025] P d =P n ·P s ;

[0026] Among them, P d The single-pulse detection probability of a space debris laser ranging network; P n P represents the probability that the detector will not be triggered by noise. s This represents the probability of signal detection.

[0027] Optionally, in step 2, after obtaining the single-pulse detection probability of the space debris laser ranging network, the method further includes: calculating the successful detection probability of the space debris laser ranging network, specifically:

[0028] Assuming that a successful target detection is determined by detecting at least one echo per second on average, the detection success probability of a space debris laser ranging network is as follows:

[0029] P L =1-(1-P) d ) f ;

[0030] Among them, P L The probability of successful detection by a space debris laser ranging network; P d denoted as the single-pulse detection probability of the space debris laser ranging network; f is the laser ranging repetition rate.

[0031] This invention also provides a space debris laser ranging network performance evaluation system utilizing a method for evaluating the network ranging performance of space debris laser ranging networks, comprising:

[0032] Signal detection probability calculation module: used to calculate the number of single-pulse echo photons in the space debris laser ranging network, and calculate the probability of the detector detecting photoelectrons based on the Poisson probability distribution, and calculate the signal detection probability based on the signal triggering detector conditions;

[0033] Single-pulse detection probability calculation module: used to calculate the probability of the detector not being triggered by noise based on the Poisson probability distribution, and to obtain the single-pulse detection probability of the space debris laser ranging network by combining the signal detection probability.

[0034] The present invention also provides an electronic device, comprising:

[0035] Memory, used to store computer programs;

[0036] A processor is used to implement a method for evaluating the network ranging performance of a space debris laser ranging network when executing a computer program.

[0037] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of a method for evaluating the network ranging performance of a space debris laser ranging network.

[0038] As can be seen from the above technical solutions, compared with the prior art, this invention proposes a method, system, device, and storage medium for evaluating the ranging performance of a space debris laser ranging network. This invention calculates the number of photons in the single-pulse echo of the space debris laser ranging network, calculates the probability of the detector detecting photoelectrons based on the Poisson probability distribution, calculates the signal detection probability based on the signal triggering condition, and combines this with the probability of not being triggered by noise, also calculated based on the Poisson probability distribution, to obtain the final single-pulse detection probability of the space debris laser ranging network. This achieves an effective and accurate evaluation of the ranging performance of the space debris laser ranging network, effectively reducing resource waste while ensuring accurate target positioning. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0040] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0041] Figure 2 The existing 1.2-meter laser ranging system at Kunming Station of this invention is for a target with a reflective area of ​​1m². 2 A schematic diagram of the single-pulse measurement detectability curves for space debris at different distances.

[0042] Figure 3 This is a schematic diagram illustrating the probability of single-pulse detection when multiple 1.2-meter aperture telescopes are networked and used synchronously in this invention.

[0043] Figure 4 This is a schematic diagram illustrating the probability of single-pulse detection when multiple 2-meter aperture telescopes are networked and synchronized according to the present invention. Detailed Implementation

[0044] 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.

[0045] Example 1:

[0046] Embodiment 1 of this invention discloses a method for evaluating the ranging performance of a space debris laser ranging network, such as... Figure 1 As shown, it includes:

[0047] Step 1: Calculate the number of single-pulse echo photons in the space debris laser ranging network, and calculate the probability of the detector detecting photoelectrons based on the Poisson probability distribution. Calculate the signal detection probability based on the signal triggering detector condition.

[0048] The number of single-pulse echo photons in a space debris laser ranging network is calculated as follows:

[0049]

[0050] Where, N s N represents the number of single-pulse echo photons in the space debris laser ranging network; E represents the number of space debris laser ranging stations in the network; t Laser pulse laser energy; θ is Planck's constant; v is the laser photon frequency; θ d Δθ is the laser divergence angle; R is the target distance; Δθ p For laser beam pointing deviation; Δθ j For laser beam tracking deviation; A r For the receiving telescope area; η r For the efficiency of the receiving optical system; η cρ is the detector quantum efficiency; ρ is the target reflectivity; σ is the target reflective area; T a T represents the atmospheric transmittance in a single pass. c This represents the one-way cirrus cloud transmittance.

[0051] Based on the Poisson probability distribution, the probability of the detector detecting photoelectrons is calculated as follows:

[0052]

[0053] Wherein, P1(k; N s When the average number of photoelectrons per pulse is N s The probability of producing k photoelectrons at a given time; N s The number of single-pulse echo photons for a space debris laser ranging network.

[0054] Based on the signal-triggered detector conditions, the signal detection probability is calculated as follows:

[0055] If the signal triggering condition for the detector is the generation of at least one photoelectron, then the signal detection probability is as follows:

[0056]

[0057] Among them, P s P1(0; N) represents the signal detection probability. s When the average number of photoelectrons per pulse is N s The probability of producing 0 photoelectrons.

[0058] Step 2: Based on the Poisson probability distribution, calculate the probability that the detector will not be triggered by noise, and combine it with the signal detection probability to obtain the single-pulse detection probability of the space debris laser ranging network.

[0059] Assume the total noise rate during the detection process is v. n The echo signal pulse width is T pulse Because space debris prediction errors are relatively large, a larger range gate setting is required. This reduces the efficiency of time filtering, increases the probability of false alarms due to noise, and consequently reduces the signal detection probability. Let the echo signal appear at time T after the range gate opens. gate The detector can be triggered by a signal if it is located at a distance T from the door after it opens. gate +T pulse During that time, the detector was not triggered by noise (false alarm).

[0060] Based on the Poisson probability distribution, the probability that the detector will not be triggered by noise is calculated, i.e., the probability that the detector will not be triggered by noise at time T. gate +T pulse The probability of not being triggered by noise within a certain time period is as follows:

[0061]

[0062] N noi =(T gate +T pulse )v n ;

[0063] Wherein, P2(z; N noi When the average noise photoelectron count of a single pulse is N noi The probability of triggering z noisy photoelectrons at a given time; P n P2(0; N) represents the probability that the detector will not be triggered by noise. noi When the average noise photoelectron count of a single pulse is N noi The probability of triggering 0 noise photoelectrons at that time; T gate T is the time from the moment the gate opens to the moment the leading edge of the echo pulse reaches the detector; pulse v is the pulse width of the echo signal. n This represents the total noise rate during the detection process.

[0064] Based on the probability of not being triggered by noise, and combined with the signal detection probability, the single-pulse detection probability of the space debris laser ranging network is obtained as follows:

[0065] P d =P n ·P s ;

[0066] Among them, P d The single-pulse detection probability of a space debris laser ranging network; P n P represents the probability that the detector will not be triggered by noise. s This represents the probability of signal detection.

[0067] After obtaining the single-pulse detection probability of the space debris laser ranging network, the process also includes: calculating the successful detection probability of the space debris laser ranging network, specifically:

[0068] Assuming that a successful target detection is determined by detecting at least one echo per second on average, the detection success probability of a space debris laser ranging network is as follows:

[0069] P L =1-(1-P) d ) f ;

[0070] Among them, P L The probability of successful detection by a space debris laser ranging network; P dLet P be the single-pulse detection probability of the space debris laser ranging network; f is the laser ranging repetition frequency. Experiments show that when the laser ranging repetition frequency f is 100Hz, the single-pulse detection probability P of the space debris laser ranging network is... d With a yield of ≥1%, an average of more than one echo signal can be detected per second, thus successfully achieving the measurement.

[0071] Example 2:

[0072] Embodiment 2 of this invention discloses a specific application of a method for evaluating the ranging performance of a space debris laser ranging network (in this application, the number of space debris laser ranging stations in the network is 1, which can also be understood as an evaluation of the ranging performance of the space debris laser ranging network), as follows:

[0073] The performance parameters and related calculated parameters of the existing 100Hz space debris laser ranging system at Kunming Station (the parameters in the table are ideal parameters, and the actual parameters will decrease with the increase of service life) are shown in Table 1.

[0074] Table 1. Calculation parameters for the success rate of 1.2m laser ranging at Kunming station

[0075]

[0076] Based on the parameters in Table 1, the performance evaluation formulas of a space debris laser ranging network were used to calculate the range of the existing 1.2-meter laser ranging system at Kunming station under normal conditions (system operation, target visibility, environmental conditions, etc.) for a reflective area of ​​1m². 2 The single-pulse measurement detectability of space debris at different distances is calculated as follows: Figure 2 As shown.

[0077] The calculations show that the single-pulse measurement detection rate is approximately 82% at a distance of 1000m. The success rate decreases with increasing distance, reaching approximately 1% at a distance of 4700km. This means that the existing 100Hz laser ranging system at Kunming station has a low success rate for a distance of 1m. 2 The maximum distance at which space debris can be successfully measured is approximately 4,700 km.

[0078] Example 3:

[0079] Embodiment 3 of the present invention discloses a specific application of a method for evaluating the ranging performance of a space debris laser ranging network, as follows:

[0080] The space debris laser ranging network consists of multiple space debris laser ranging stations, and the performance parameters of each station are basically the same, as shown in Table 2.

[0081] Table 2 Main performance parameters of the site laser ranging system

[0082]

[0083] Still using a reflective area of ​​1m 2 Using the target as a case study, this paper calculates the single-pulse measurement probability when multiple 1.2-meter aperture telescopes are networked together for measurement at target distances of 10,000 km to 40,000 km (typically, one space debris laser ranging point corresponds to one telescope). The calculation results are as follows: Figure 3 As shown.

[0084] from Figure 3 As can be seen, when the target distance is 10,000 km, even if a single telescope is used for single-pulse measurement, the probability exceeds 5%, which is basically sufficient for measurement; however, for longer distances, the probability of single-pulse measurement with a single telescope is extremely low, making measurement difficult.

[0085] The single-pulse detection probability was measured simultaneously using multiple 1.2m aperture telescopes, as shown in Table 3.

[0086] Table 3. Probability of Single-Pulse Detection During Synchronous Measurement with Multiple 1.2m Aperture Telescopes

[0087] 1 telescope 3 telescopes 5 telescopes 8 telescopes 10 telescopes 10000km 6.859％ 28.13％ 44.74％ 56.53％ 59.16％ 20000km 0.453％ 2.319％ 4.879％ 9.467％ 12.81％ 30000km 0.089％ 0.465％ 0.996％ 2.000％ 2.777％ 36000km 0.043％ 0.225％ 0.483％ 0.973％ 1.355％ 40000km 0.028％ 0.148％ 0.317％ 0.640％ 0.8927％

[0088] As can be seen from Table 3, when using 10 telescopes to measure a target with a reflective area of ​​1m2 at a distance of 36,000km, the single-pulse measurement probability reaches 1.355%. This theoretically calculated probability is slightly higher than the lowest detection probability (1.07%) in current debris experiments, so the idea is theoretically feasible.

[0089] Embodiment 4 of the present invention:

[0090] Embodiment 4 of the present invention discloses a specific application of a method for evaluating the ranging performance of a space debris laser ranging network, as follows:

[0091] When multiple 2-meter aperture telescopes are used for simultaneous measurements, at a depth of 1m... 2 The calculated results of the single-pulse measurement probability for targets of various sizes at distances ranging from 1000km to 50000km are as follows: Figure 4 As shown.

[0092] The single-pulse detection probability was measured simultaneously using multiple 2m aperture telescopes, as shown in Table 4.

[0093] Table 4. Probability of Single Pulse Detection During Synchronous Measurement of Multiple 2m Aperture Telescopes

[0094] 1 telescope 3 telescopes 5 telescopes 8 telescopes 10 telescopes 10000km 17.9％ 49.85％ 59.06％ 60.47％ 60.50％ 20000km 1.251％ 6.224％ 12.6％ 22.79％ 29.25％ 30000km 0.2492％ 1.283％ 2.728％ 5.394％ 7.402％ 40000km 0.0789％ 0.409％ 0.8768％ 1.761％ 2.447％ 50,000km 0.0324％ 0.1679％ 0.3607％ 0.7277％ 1.015％

[0095] Using the probability of single-pulse detection P≥1% in telescope synchronous measurement as the boundary, the theoretical limit distance of synchronous measurement by multiple telescopes can be estimated. The limit distance results of synchronous measurement by multiple telescopes with a diameter of 2m are shown in Table 5.

[0096] Table 5. Estimation of the ultimate measurement distance for multiple telescopes with a 2m aperture.

[0097]

[0098] As shown in Table 5, the maximum detection distance using one 2m telescope is approximately 21,000 km (with a detection probability of 1.031%); the maximum synchronous measurement distance using three 2m telescopes is approximately 31,000 km (with a detection probability of approximately 1.127%); the maximum synchronous measurement distance using five 2m telescopes is approximately 38,000 km (with a detection probability of approximately 1.075%); the maximum synchronous measurement distance using eight 2m telescopes is approximately 46,000 km (with a detection probability of approximately 1.013%); and the maximum synchronous measurement distance using ten 2m telescopes is approximately 50,000 km (with a detection probability of approximately 1.015%).

[0099] Embodiment 5 of the present invention:

[0100] Embodiment 5 of the present invention discloses a space debris laser ranging network performance evaluation system using a method for evaluating the network ranging performance of space debris laser ranging networks, comprising:

[0101] Signal detection probability calculation module: used to calculate the number of single-pulse echo photons in the space debris laser ranging network, and calculate the probability of the detector detecting photoelectrons based on the Poisson probability distribution, and calculate the signal detection probability based on the signal triggering detector conditions;

[0102] Single-pulse detection probability calculation module: used to calculate the probability of the detector not being triggered by noise based on the Poisson probability distribution, and to obtain the single-pulse detection probability of the space debris laser ranging network by combining the signal detection probability.

[0103] Embodiment 6 of the present invention:

[0104] Embodiment 6 of the present invention discloses an electronic device, comprising:

[0105] Memory, used to store computer programs;

[0106] A processor is used to implement a method for evaluating the network ranging performance of a space debris laser ranging network when executing a computer program.

[0107] Embodiment 7 of the present invention:

[0108] Embodiment 7 of the present invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of a method for evaluating the network ranging performance of a space debris laser ranging network.

[0109] This invention discloses a method, system, device, and storage medium for evaluating the ranging performance of a space debris laser ranging network. The invention calculates the number of photons in a single pulse echo of the space debris laser ranging network, and based on the Poisson probability distribution, calculates the probability of the detector detecting photoelectrons. Based on the signal triggering condition, it calculates the signal detection probability, and combines this with the probability of not being triggered by noise, also calculated based on the Poisson probability distribution, to obtain the final single pulse detection probability of the space debris laser ranging network. This achieves an effective and accurate evaluation of the ranging performance of the space debris laser ranging network, ensuring accurate target positioning while effectively reducing resource waste.

[0110] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0111] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the ranging performance of a space debris laser ranging network, characterized in that, include: Step 1: Calculate the number of single-pulse echo photons in the space debris laser ranging network, and calculate the probability of the detector detecting photoelectrons based on the Poisson probability distribution. Calculate the signal detection probability based on the signal triggering detector condition. Step 2: Based on the Poisson probability distribution, calculate the probability that the detector will not be triggered by noise, and combine the signal detection probability to obtain the single-pulse detection probability of the space debris laser ranging network. In step 1, the number of single-pulse echo photons in the space debris laser ranging network is calculated as follows: Where, N s N represents the number of single-pulse echo photons in the space debris laser ranging network; E represents the number of space debris laser ranging stations in the network; t Laser pulse laser energy; θ is Planck's constant; v is the laser photon frequency; θ d Δθ is the laser divergence angle; R is the target distance; Δθ p For laser beam pointing deviation; Δθ j For laser beam tracking deviation; A r For the receiving telescope area; η r For the efficiency of the receiving optical system; η c ρ is the detector quantum efficiency; ρ is the target reflectivity; σ is the target reflective area; T a T represents the atmospheric transmittance in a single pass. c This refers to the one-way cirrus cloud transmittance. Step 2, after obtaining the single-pulse detection probability of the space debris laser ranging network, further includes: calculating the successful detection probability of the space debris laser ranging network, specifically: Assuming that a successful target detection is determined by detecting at least one echo per second on average, the detection success probability of the space debris laser ranging network is as follows: P L =1-(1-P d ) f ; Among them, P L P represents the probability of successful detection by the space debris laser ranging network. d denoted as the single-pulse detection probability of the space debris laser ranging network; f is the laser ranging repetition rate.

2. The method for evaluating the ranging performance of a space debris laser ranging network according to claim 1, characterized in that, In step 1, based on the Poisson probability distribution, the probability of the detector detecting photoelectrons is calculated as follows: Wherein, P1(k; N s When the average number of photoelectrons per pulse is N s The probability of producing k photoelectrons at a given time; N s The number of single-pulse echo photons for a space debris laser ranging network.

3. The method for evaluating the ranging performance of a space debris laser ranging network according to claim 2, characterized in that, In step 1, the signal detection probability is calculated based on the signal triggering detector conditions, specifically as follows: The signal triggering condition for the detector is the generation of at least one photoelectron. Therefore, the signal detection probability is as follows: Among them, P s P1(0; N) represents the signal detection probability. s When the average number of photoelectrons per pulse is N s The probability of producing 0 photoelectrons.

4. The method for evaluating the ranging performance of a space debris laser ranging network according to claim 1, characterized in that, In step 2, based on the Poisson probability distribution, the probability that the detector will not be triggered by noise is calculated as follows: N noi =(T gate +T pulse )v n ; Wherein, P2(z; N noi When the average noise photoelectron count of a single pulse is N noi The probability of triggering z noisy photoelectrons at a given time; P n P2(0; N) represents the probability that the detector will not be triggered by noise. noi When the average noise photoelectron count of a single pulse is N noi The probability of triggering 0 noise photoelectrons at that time; T gate T is the time from the moment the gate opens to the moment the leading edge of the echo pulse reaches the detector; pulse v is the pulse width of the echo signal. n This represents the total noise rate during the detection process.

5. The method for evaluating the ranging performance of a space debris laser ranging network according to claim 1, characterized in that, In step 2, based on the probability of not being triggered by noise and combined with the signal detection probability, the single-pulse detection probability of the space debris laser ranging network is obtained as follows: P d =P n ·P s ; Among them, P d The single-pulse detection probability of a space debris laser ranging network; P n P represents the probability that the detector will not be triggered by noise. s This represents the probability of signal detection.

6. A system for evaluating the performance of a space debris laser ranging network using the method for evaluating the ranging performance of a space debris laser ranging network according to any one of claims 1-5, characterized in that, include: Signal detection probability calculation module: used to calculate the number of single-pulse echo photons in the space debris laser ranging network, and calculate the probability of the detector detecting photoelectrons based on the Poisson probability distribution, and calculate the signal detection probability based on the signal triggering detector conditions; Single-pulse detection probability calculation module: used to calculate the probability of the detector not being triggered by noise based on the Poisson probability distribution, and to obtain the single-pulse detection probability of the space debris laser ranging network by combining the signal detection probability.

7. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the method for evaluating the network ranging performance of a space debris laser ranging network as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for evaluating the network ranging performance of a space debris laser ranging network as described in any one of claims 1-5.

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