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A self-iteration updating optimization algorithm for ocean gravity data

A technology of gravity data and iterative update, applied in the fields of electrical digital data processing, special data processing applications, computing, etc.

Inactive Publication Date: 2019-05-21
SOUTHEAST UNIV
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Problems solved by technology

[0002] In the field of marine gravity data measurement, with the development of science and technology, the accuracy of measurement data and processing results is constantly improving. However, due to the influence of environmental factors such as tides, wind waves, and ocean currents, many The measurement model of the ocean gravity data processing system cannot be established accurately through mathematical modeling methods. Occurrence of ocean gravity data measurement and divergence in the data processing process require the ocean gravity database to correct and continuously adjust the system

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  • A self-iteration updating optimization algorithm for ocean gravity data
  • A self-iteration updating optimization algorithm for ocean gravity data
  • A self-iteration updating optimization algorithm for ocean gravity data

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Embodiment Construction

[0067] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0068] The self-iterative update optimization algorithm of the ocean gravity data of the present invention uses a sample mean value filter to process the measurement data by establishing a time iterative update model of the ocean gravity data. In the process of processing, by establishing a matching function, the sample mean filter and the database data are analyzed and matched with each other, and the system state at the next moment is estimated online. This algorithm overcomes the contingency of ocean measurement data caused by tides, wind waves, ocean currents, etc., and has the advantages of good stability, fast convergence speed, and reliable filtering results.

[0069] Such as figure 1 As shown, a self-iterative update optimization algorithm for ocean gravity data includes the following steps:

[0070] (1) Base...

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Abstract

The invention discloses a self-iteration updating optimization algorithm for ocean gravity data. The algorithm comprises: firstly, establishing and processing an iteration updating model of an ocean gravity data real-time processing system; Processing ocean gravity observation data and ocean gravity database samples by adopting sample mean filtering; obtaining the normalized weight of the marine gravity observation data, analyzing and matching the mean filtering output results of the marine gravity observation data and the marine gravity database sample, and performing online estimation on themarine gravity data real-time processing system state at the next moment; Adding the filtering estimation result into an ocean gravity database, and updating the ocean gravity database in real time;And updating the iteration updating model parameters of the ocean gravity observation data at the next moment. The reliability of the ocean gravity data real-time processing system model and the modelparameter estimation precision are improved, the occasionality of ocean measurement data caused by tides, stormy waves, ocean currents and the like is overcome, and the stability of the system is enhanced.

Description

technical field [0001] The invention relates to a method for processing ocean gravity data, in particular to a self-iterative update optimization algorithm for ocean gravity data. Background technique [0002] In the field of marine gravity data measurement, with the development of science and technology, the accuracy of measurement data and processing results is constantly improving. However, due to the influence of environmental factors such as tides, wind waves, and ocean currents, many The measurement model of the marine gravity data processing system cannot be accurately established by mathematical modeling. The occasional occurrence of marine gravity data measurement and the divergence in the data processing process require the marine gravity database to correct and continuously adjust the system. Contents of the invention [0003] Purpose of the invention: In order to make reasonable and effective use of existing data, the present invention provides a self-iterative...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCY02A90/10
Inventor 赵立业沈翔张平黄丽斌李宏生时小华
Owner SOUTHEAST UNIV
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