Distribution estimation method

A technology of distribution estimation and scheme, applied in the satellite field, can solve the problems of short-sightedness, unable to support imaging, large storage space, etc., to achieve the effect of improving decision-making ability, improving global observation benefits, and improving use efficiency

Active Publication Date: 2018-05-11
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0003] However, since the target recognition star can only obtain the local information of the target distribution (only the target information in the look-ahead time window, not the task distribution information of the entire scene) each time it makes a decision, it is easy to determine the next observation target every time. Cause "short-sighted" problems
Especially when the scene period becomes longer and the satellite’s fixed storage and power constraints are tight constraints, these resource constraints may

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Embodiment Construction

[0028] In the drawings, the same or similar reference numerals are used to denote the same or similar elements or elements having the same or similar functions. Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0029] The invention assumes that the targets found in each orbit of the star cluster have a certain distribution law. Different geographical regions will have different target generation probabilities. Through data accumulation, the target distribution law in different regions can be obtained. The target distribution law includes target position information, imaging duration and observation income. At the same time, the orbit of the imaging satellite has a regression characteristic, that is, after a certain running time, the orbit of the sub-satellite point of the satellite returns to the original route. Therefore, through long-term data accumulation, a large amount of target distribution informatio...

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Abstract

The present invention discloses a distribution estimation method. The method comprises the steps of: Step 1, when a current object is subjected to imaging each time, extracting prospect information provided by an object discovery satellite by employing an object identification satellite; Step 2, deleting objects with low observation values in the prospect information according to three threshold parameters in object filtering knowledge; Step 3, calling a plurality of heuristic algorithms concentrated by a scheduling algorithm to generate a plurality of local observation schemes, wherein the step can be subjected to parallel calculation, and the local observation schemes are observation schemes generated by the satellite according to object information in a prospect time window in a currentstate; Step 4, performing comprehensive assessment of each local observation scheme according to an assessment parameter combination correlation assessment method in scheme assessment knowledge; andStep 5, selecting a local observation scheme with the highest score and locking a first object in the schemes as the next observation object.

Description

technical field [0001] The invention relates to the field of satellite technology, in particular to a distribution estimation method. Background technique [0002] The current scheduling method of agile satellites is to set up a double star cluster consisting of a low-resolution target discovery star (full name "target discovery satellite") and an agile high-resolution target recognition star (full name "target recognition satellite"), The target finds that Xingfei is at the front of the star cluster, and uses a low-resolution camera to perform push-broom imaging of large areas on both sides of the line below the star, and can extract relevant target information in the imaging area in real time. The target identification star receives the target information extracted by the target discovery star in real time, and obtains the position information, imaging duration, and observation income of the target 100s in advance. When the target recognition star is imaging a certain tar...

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/06312G06Q10/06393G06Q10/067
Inventor 张忠山褚骁庚陈英武陈宇宁吕济民陈盈果陈成王涛刘晓路邢立宁姚锋贺仁杰
Owner NAT UNIV OF DEFENSE TECH
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