High-orbit remote sensing satellite moving target tracking task-oriented search tracking efficiency evaluation method

Abstract

The invention discloses a high-orbit remote sensing satellite moving target tracking task-oriented search tracking efficiency evaluation method, which comprises the following steps of: determining subtasks of an efficiency evaluation index system according to task composition of a high-orbit satellite moving target tracking task; aiming at the subtasks of the efficiency evaluation index system, respectively designing corresponding efficiency evaluation schemes; according to the established evaluation index system, a performance index and bottom layer index evaluation data acquisition experiment is designed, and a corresponding evaluation index calculation method is established; according to the evaluation index calculation method and the experimental data, evaluation indexes of all the bottom layer indexes are obtained through calculation, and the high-orbit satellite moving target tracking task is evaluated. Based on the design of task classification and performance indexes, the output of the working sequence of the satellite system is converted into evaluation of the performance indexes. Aiming at the specific task of searching and tracking of the moving target tracking task, the verification of the overall system efficiency of the satellite system can be realized, and a reference is provided for comparison and improvement of a high-orbit satellite moving target tracking method.

Description

Technical Field

[0001] The present invention relates to the technical field of high-orbit satellite effectiveness evaluation, and in particular to a search and tracking effectiveness evaluation method for a high-orbit remote sensing satellite moving target tracking task. Background Art

[0002] The task of tracking multiple moving targets by high-orbit remote sensing satellites is an important part of the research field of satellite earth observation. Based on the orbital characteristics of high-orbit satellites with wide imaging field and long observation time, a high-orbit satellite is used to continuously track moving targets. Regarding the performance evaluation of satellites, most existing studies focus on the performance evaluation methods of general satellite systems, and analyze the three aspects of image quality, detection time and detection area to evaluate the satisfaction of satellite imaging detection needs, or build a remote sensing application performance index system based on four indicators: spatial resolution, temporal resolution, spectral range and spectral resolution, and establish the corresponding relationship between remote sensing application data indicators, remote sensing satellite engineering parameters and payload performance indicators.

[0003] However, when it comes to the specific search and tracking task of high-orbit satellite moving target tracking, the existing methods and theories lack a performance evaluation method for this task. Most of the evaluation indicators used have a low correlation with the task method research, and the evaluation effect on task-related algorithms is average. Summary of the invention

[0004] The present invention provides a search and tracking performance evaluation method for high-orbit remote sensing satellite moving target tracking tasks, the purpose of which is to design a task-specific search and tracking performance evaluation method that can be applied to the evaluation of high-orbit satellite moving target tracking tasks. For conventional satellite performance evaluation systems and methods, most evaluation indicators are not concerned with the search and tracking part of the moving target tracking task, and there is a lack of targeted evaluation indicators for the method, which lacks reference value for the effect analysis and improvement of related problem methods.

[0005] In the first aspect, a search and tracking performance evaluation method for a high-orbit remote sensing satellite moving target tracking mission is provided, comprising:

[0006] According to the task composition of the high-orbit satellite moving target tracking task, determine the subtasks of the effectiveness evaluation index system I;

[0007] Design corresponding performance evaluation schemes for the subtasks of performance evaluation index system I;

[0008] According to the established evaluation index system I, design performance index and underlying index evaluation data acquisition experiments, and establish corresponding evaluation index calculation methods;

[0009] According to the evaluation index calculation method and experimental data, the evaluation index of each underlying index is calculated, and the high-orbit satellite moving target tracking mission is evaluated.

[0010] In combination with the first aspect, in certain implementations of the first aspect, the subtasks of the performance evaluation index system I include a tracking task S1 and a search and recapture task S2.

[0011] In conjunction with the first aspect, in certain implementations of the first aspect, for the subtasks of the performance evaluation index system I, corresponding performance evaluation schemes are designed respectively, including:

[0012] By dividing the task into several subtasks and refining the subtasks, the indicators correspond to the subtask goals during the refinement process, and the indicators rely on quantitative evaluation of data to form a hierarchical performance evaluation indicator system I.

[0013] In combination with the first aspect, in some implementations of the first aspect, the evaluation index for the tracking task S1 includes a field of view switching time interval and / or a maximum number of simultaneously tracked targets.

[0014] In combination with the first aspect, in some implementations of the first aspect, for the field of view switching time interval t s , based on the execution result in a certain satellite tracking mode, the time interval between two adjacent satellite maneuvers is taken.

[0015] In combination with the first aspect, in certain implementations of the first aspect, the evaluation index for the search and recapture task S2 includes a search revisit time and / or a maximum search coverage area.

[0016] In combination with the first aspect, in some implementations of the first aspect, for the search revisit time t c , based on the execution result in a certain satellite tracking mode, the time point when the satellite loses the moving target and the time point when the satellite captures the moving target next time are taken, and the time interval between the two is calculated.

[0017] In combination with the first aspect, in certain implementations of the first aspect, the step of designing a performance indicator and underlying indicator evaluation data acquisition experiment based on the established evaluation indicator system I, and establishing a corresponding evaluation indicator calculation method, includes:

[0018] According to the established performance evaluation index system I and the performance evaluation scheme of subtasks, a quantitative evaluation calculation method for underlying indicators is designed; according to the evaluation calculation method, an underlying indicator evaluation data acquisition experiment is designed, and a corresponding set of acceptable indicator evaluation criteria is established by combining the experimental design method and performance evaluation indicators.

[0019] In combination with the first aspect, in some implementations of the first aspect, the step of calculating the evaluation indicators of the underlying indicators based on the evaluation indicator calculation method and the experimental data, and evaluating the high-orbit satellite moving target tracking task, includes:

[0020] The evaluation data acquisition experiment is used to obtain the experimental data of each underlying indicator. According to the evaluation indicator calculation method and the experimental data, the measured value or calculated value of each evaluation indicator is obtained.

[0021] In combination with the first aspect, in certain implementations of the first aspect, the method uses a simulation experiment to simulate the tracking task and the search and recapture task, obtains the working status data record, and thus calculates the evaluation index corresponding to each subtask.

[0022] Compared with the prior art, the solution provided by the present invention includes at least the following beneficial technical effects:

[0023] (1) The search and tracking efficiency evaluation method for high-orbit satellite moving target tracking tasks proposed in the present invention realizes a comprehensive evaluation method for solving the efficiency evaluation of diversified complex systems; the search and tracking efficiency evaluation method for high-orbit satellite moving target tracking tasks establishes a comprehensive efficiency evaluation index system for the task, comprehensively expresses each part of the task, realizes the efficiency evaluation process from the whole to the part, and then from the part to the whole, so that the efficiency evaluation result is more comprehensive and more convincing.

[0024] (2) The present invention proposes a search and tracking performance evaluation method for high-orbit satellite moving target tracking tasks. The method divides the search and tracking of high-orbit satellite moving target tracking tasks into two subtasks: tracking tasks and search and recapture tasks. Performance evaluation indicators are designed according to the characteristics of the two subtasks. Based on the easy acquisition of performance indicators and the ease of operation of experimental methods, the comprehensive performance evaluation of the system is completed, thereby improving the efficiency of the performance evaluation work. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A search and tracking effectiveness evaluation index system I for high-orbit satellite moving target tracking missions established by the present invention. DETAILED DESCRIPTION

[0026] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0027] like Figure 1 As shown, the present invention provides a method for evaluating the search and tracking performance of a high-orbit remote sensing satellite moving target tracking mission. The specific steps are as follows.

[0028] Step 1: According to the task composition of the high-orbit satellite moving target tracking mission, determine the subtasks of the performance evaluation index system I.

[0029] The search and tracking performance of high-orbit satellite moving target tracking mission will mainly evaluate the performance of tracking mission and search and recapture mission, which will be composed of the following: Figure 1 The tree structure of the search and tracking effectiveness evaluation index system I for the high-orbit satellite moving target tracking mission is shown.

[0030] Step 2: Design corresponding performance evaluation schemes for the subtasks of performance evaluation index system I.

[0031] By dividing the task into several subtasks and refining the subtasks, the indicators correspond to the subtask goals during the refinement process, and the indicators rely on quantitative data evaluation to form a hierarchical performance evaluation indicator system I. For the two different subtasks of tracking task S1 and search and recapture task S2, corresponding performance evaluation schemes are designed respectively.

[0032] For tracking task S1, high frame rate imaging is performed on key targets within a small range. The integrated electronic system on board will predict the target's motion trajectory based on the target position information in the image, and control the satellite to quickly maneuver and track at a small angle. The moving target here can be one or more. For the performance evaluation of this type of subtask, the general evaluation method is: under the premise of being able to continuously track the moving target, evaluate the time consumption caused by the satellite maneuver (field of view switching time interval); evaluate the maximum number of moving targets that can be tracked simultaneously (maximum number of simultaneously tracked targets), etc.

[0033] In one embodiment, the satellite field of view switching time interval t may be used. s I1 is used as the performance indicator of this subtask to evaluate the consumption of maneuverability during execution.

[0034] For the search and recapture mission S2, when the satellite tracks a moving target, it may be lost or blocked by clouds. When the target is lost for a short period of time, the satellite predicts the time and location where the target may appear based on the previous target tracking data, and uses the target search and capture algorithm to formulate a reasonable target search and capture strategy, as well as related satellite maneuvers and imaging plans, to achieve the recapture of the moving target. For the performance evaluation of this type of subtask, the general method is to evaluate the task duration required for recapture (search revisit time); evaluate the maximum search coverage area (maximum search coverage area) without affecting other observation tasks, etc.

[0035] In one embodiment, for the search and recapture task S2, it is necessary to examine the speed of its task execution to reflect the effect of the search and capture algorithm, so the time interval from target loss to target recapture is used, that is, the search revisit time t c , as the performance indicator I2 of the subtask.

[0036] Step 3: Based on the established evaluation index system I, design performance index and underlying index evaluation data acquisition experiments, and establish corresponding evaluation index calculation methods.

[0037] Specifically, according to the established search and tracking performance evaluation index system I of the high-orbit satellite moving target tracking task and the performance evaluation schemes of the corresponding two types of subtasks S1 and S2, a quantitative evaluation calculation method for the underlying indicators is designed (denoted as C). At the same time, according to the evaluation calculation method, a data acquisition experiment for the underlying indicator evaluation is designed (denoted as E), combined with the experimental design method (denoted as M) and the actual system performance evaluation index I, to ensure the optimization of data quality and experimental cost, and establish a corresponding set of acceptable criteria for indicator evaluation (denoted as A).

[0038] (1) For the performance index I1 of the tracking task S1, it is necessary to calculate the time interval t of the satellite field of view switching s For the execution result in a certain satellite tracking mode, the time interval between two adjacent satellite maneuvers, that is, the time difference between the time points when the pointing changes, is taken as the field of view switching time interval t s .

[0039] (2) For the performance indicator I2 of the search-recapture task S2, the search-revisit time t needs to be calculated c For the execution result of a satellite search and recapture mode, the time point when the satellite loses the moving target and the time point when the satellite captures the moving target next time are taken, and the time interval between the two is calculated as the search revisit time t c .

[0040] Step 4: According to the evaluation index calculation method and experimental data, the evaluation index of each underlying index is calculated to evaluate the high-orbit satellite moving target tracking task.

[0041] Specifically, the evaluation data acquisition experiment E is used to obtain the experimental data required for each underlying indicator (denoted as D). According to the evaluation indicator calculation method C and the experimental data D, the evaluation indicator measurement value or calculation value (denoted as V) of each underlying indicator is obtained.

[0042] The simulation experiment is used to simulate two working scenarios: tracking task and search and recapture, and the attitude angle data and other working status data records are obtained to calculate two underlying indicators.

[0043] (1) Calculate the time interval t for switching the satellite field of view s

[0044] In order to demonstrate the specific numerical calculation process, the first 20 data of a certain task data column are taken.

[0045] Table 1 Satellite attitude angle data table in a certain tracking mode

[0046] Serial number Longitude (°) Latitude (°) time 1 3.96234656282557 0.522360168617523 24Oct 2020 04:01:03.716 2 3.96234656282557 0.522360168617523 24Oct 2020 04:06:06.716 3 3.96234656282557 0.522360168617523 24Oct 2020 04:07:49.216 4 3.96234656282557 0.522360168617523 24Oct 2020 04:09:31.716 5 3.96234656282557 0.522360168617523 24Oct 2020 04:11:14.216 6 3.96234656282557 0.522360168617523 24Oct 2020 04:12:56.716 7 3.96234656282557 0.522360168617523 24Oct 2020 04:14:39.216 8 3.96234656282557 0.522360168617523 24Oct 2020 04:16:21.716 9 3.96234656282557 0.522360168617523 24Oct 2020 04:18:04.216 10 4.52444146228351 0.522360168617523 24Oct 2020 04:20:16.966 11 4.52444146228351 0.522360168617523 24Oct 2020 04:21:59.466 12 4.52444146228351 0.522360168617523 24Oct 2020 04:23:41.966 13 4.52444146228351 1.07245822869994 24Oct 2020 04:25:54.716 14 4.52444146228351 1.07245822869994 24Oct 2020 04:27:37.216 15 4.52444146228351 1.07245822869994 24Oct 2020 04:29:19.716 16 4.52444146228351 1.07245822869994 24Oct 2020 04:31:02.216 17 4.52444146228351 1.07245822869994 24Oct 2020 04:32:44.716 18 4.52444146228351 1.07245822869994 24Oct 2020 04:34:27.216 19 4.52444146228351 1.07245822869994 24Oct 2020 04:36:09.716 20 4.52444146228351 1.07245822869994 24Oct 2020 04:37:52.216

[0047] From the table, we can see that the attitude angle maneuvers occurred at sequence number 10 and sequence number 13. Taking the difference between these two times, we get t s =5min37.75s.

[0048] (2) Calculate the search revisit time t c

[0049] In order to demonstrate the specific numerical calculation process, a set of satellite working data in the search and recapture mode is taken. For the convenience of display, only the data of one recapture process is taken.

[0050] Table 2 Satellite working data table in a certain search and recapture mode

[0051] Serial number 1 Target name Airplane1 Start time 24Oct 2020 04:00:00.000 Departure time 24Oct 2020 05:20:56.752 Lost time 24Oct 2020 04:14:41.466 Recapture time 24Oct 2020 04:26:49.148

[0052] Then the search revisit time t c The recapture time minus the loss time gives t c =12min7.682s.

[0053] In summary, this method solves the problem of difficult interpretation of the evaluation model under benefit-based indicators by dividing the task into different task stages and utilizing the restrictions of weight parameters. It not only avoids the complex intermediate modeling process, but also ensures the correctness, speed, objectivity, authority and interpretability of the evaluation results, providing an effective solution for the efficient and rapid performance evaluation of complex tasks in the future.

[0054] Based on the design of task classification and performance indicators, the present invention converts the satellite system working sequence output into the evaluation of performance indicators. For the specific task of search and tracking of moving target tracking tasks, this method can fully express the execution of tasks in different working modes, and reasonably conduct targeted evaluation and overall integration of each part, thereby realizing the verification of the overall system efficiency of the satellite system, and providing a reference for the comparison and improvement of high-orbit satellite moving target tracking methods.

[0055] Although the present invention is disclosed as above in the form of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art may make possible changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be based on the scope defined by the claims of the present invention.

Claims

1. A search and tracking performance evaluation method for high-orbit remote sensing satellite moving target tracking tasks, characterized in that: include: According to the task composition of the high-orbit satellite moving target tracking task, determine the subtasks of the effectiveness evaluation index system I; Design corresponding performance evaluation schemes for the subtasks of performance evaluation index system I; According to the established evaluation index system I, design performance index and underlying index evaluation data acquisition experiments, and establish corresponding evaluation index calculation methods; According to the evaluation index calculation method and experimental data, the evaluation index of each underlying index is calculated, and the high-orbit satellite moving target tracking mission is evaluated.

2. The method according to claim 1, characterized in that The subtasks of the performance evaluation index system I include a tracking task S1 and a search and recapture task S2.

3. The method according to claim 1, characterized in that For the subtasks of the performance evaluation index system I, corresponding performance evaluation schemes are designed respectively, including: By dividing the task into several subtasks and refining the subtasks, the indicators correspond to the subtask goals during the refinement process, and the indicators rely on quantitative evaluation of data to form a hierarchical performance evaluation indicator system I.

4. The method according to claim 2, characterized in that: The evaluation indicators for the tracking task S1 include the field of view switching time interval and / or the maximum number of simultaneously tracked targets.

5. The method according to claim 4, characterized in that For the field of view switching time interval t s , based on the execution result in a certain satellite tracking mode, the time interval between two adjacent satellite maneuvers is taken.

6. The method according to claim 2, characterized in that Evaluation indicators for the search-recapture task S2 include search revisit time and / or maximum search coverage area.

7. The method according to claim 6, characterized in that For search revisit time t c , based on the execution result in a certain satellite tracking mode, the time point when the satellite loses the moving target and the time point when the satellite captures the moving target next time are taken, and the time interval between the two is calculated.

8. The method according to claim 1, characterized in that According to the established evaluation index system I, the performance index and underlying index evaluation data acquisition experiment are designed, and the corresponding evaluation index calculation method is established, including: According to the established performance evaluation index system I and the performance evaluation scheme of subtasks, a quantitative evaluation calculation method for underlying indicators is designed; according to the evaluation calculation method, an underlying indicator evaluation data acquisition experiment is designed, and a corresponding set of acceptable indicator evaluation criteria is established by combining the experimental design method and performance evaluation indicators.

9. The method according to claim 1, characterized in that: According to the evaluation index calculation method and experimental data, the evaluation index of each underlying index is calculated to evaluate the high-orbit satellite moving target tracking task, including: The evaluation data acquisition experiment is used to obtain the experimental data of each underlying indicator. According to the evaluation indicator calculation method and the experimental data, the measured value or calculated value of each evaluation indicator is obtained.

10. The method according to claim 9, characterized in that The method uses simulation experiments to simulate tracking tasks and search and recapture tasks, obtains work status data records, and thus calculates evaluation indicators corresponding to each subtask.

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