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Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Применить Всего найдено 2. Отображено 2.
07-07-2023 дата публикации

Geomagnetic vector measurement multi-source error correction method based on least square two-step method

Номер: CN116400424A
Принадлежит:

The invention provides a geomagnetic vector measurement multi-source error correction method based on a least square two-step method, which comprises the following steps of: firstly, establishing an error comprehensive compensation model containing a three-axis fluxgate sensor error, a non-alignment error, soft magnetism and hard magnetism, then enabling a measurement carrier to sail according to a certain action to acquire calibration data, and utilizing a geomagnetic component constraint method to calibrate the geomagnetic vector measurement multi-source error. And calculating various compensation parameters by adopting two-step least square calculation, and finally compensating the actually measured data. According to the method, the errors can be comprehensively compensated, other auxiliary equipment is not needed, the operation is simple, the calculation speed is high, and the method can be applied under the actual mobile geomagnetic vector measurement condition.

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12-05-2023 дата публикации

Federated filtering system information factor distribution method and underwater navigation system

Номер: CN116105743A
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The invention discloses a federated filtering system information factor distribution method and an underwater navigation system, and belongs to the technical field of underwater navigation positioning. In AUV navigation positioning in which an inertial navigation system is used as a public reference system and multiple sensors are used as subsystems to correct errors of the inertial navigation system, a federated filtering system model is established; the information distribution coefficient is represented in a vector form, and compared with a scalar form, the contribution degree of each state quantity can be reflected more accurately; further, a measurement outlier is eliminated by utilizing the mahalanobis distance of a subsystem measurement value, the influence of the measurement outlier on a filtering result is avoided, the mahalanobis distance of a state estimator is adopted to construct a target function, the influence caused by different state quantity dimensions can be eliminated ...

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