Recent research has shown that deep learning is widely used to classify the high spectral dimensional data. Under limited samples, a novel method of high spectral dimensional data classification based on convolutional...
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The space-ground integrated network is one of the important information infrastructures of the country in the future. In order to further promote its visualization research, the structural characteristics of the space...
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For the multi-satellite mission planning problem, a multi-satellite mission planning model is constructed by considering the constraints of satellite's visibility window to the target, attitude transition, storage...
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"Demand traction and technology promotion"is the main law of equipment system construction and development. Scientific determination and quantitative evaluation of key technologies in the field of military e...
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The complex network theory is used to construct the Unmanned Aerial Vehicle (UAV) cluster network and its characteristic indicators are analyzed. The cascade failure theory is used to study the destructive resistance ...
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As the development of data visualization technology, it becomes more and more convenient to commit data analyzing and mining in some research areas. Data visualization paves the way to understand the abstract numbers ...
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To ensure success of precise navigation, it is necessary to carry out in-field calibration for the accelerometers in platform inertial navigation system(PINS) before a mission is *** continuous self-calibration method...
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To ensure success of precise navigation, it is necessary to carry out in-field calibration for the accelerometers in platform inertial navigation system(PINS) before a mission is *** continuous self-calibration methods are not fit for fast calibration of accelerometers because the platform misalignments have to be estimated precisely and the nonlinear coupling terms will affect accuracy. The multi-position methods with a "shape of motion" algorithm also have some existing disadvantages: High precision calibration results cannot be obtained when the accelerometer's output data are used directly and it is difficult to optimize the calibration scheme. Focusing on this field, this paper proposes new fast self-calibration methods for the accelerometers of PINS. A data compression filter is employed to improve the accuracy of parameter estimation because it is impossible to obtain non-biased estimation for accelerometer parameters when using the "shape of motion" algorithm. Besides, continuous calibration schemes are designed and optimized by the genetic algorithm(GA) to improve the observability of parameters. simulations prove that the proposed methods can estimate the accelerometer parameter more precisely than traditional continuous methods and multi-position methods, and they are more practical to deal with urgent situations than multi-position methods.
With the surge of emergency task demand, large-scale Earth observation satellite emergency scheduling has become a practical problem which is urgent to be solved. In view of this situation, this paper analyzes the con...
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Nowadays, modern warfare has changed from weapon-centric operations to network-centric system operations, which has led to the phenomenon of sea-level quantification of weaponry. It is an important research topic for ...
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To address the problem of effectiveness evaluation of space reconnaissance systems with limited data sets, vast array of indexes and inadequate model interpretability, an interpretable effectiveness prediction method ...
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