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Underwater acoustic sensor network positioning method adapted to mobility

An underwater acoustic sensor and network positioning technology, applied in positioning, instruments, measuring devices, etc., can solve the problems of positioning accuracy, long transmission distance and propagation delay, so as to reduce the impact of mobility, reduce positioning errors, and improve positioning Effects on accuracy and performance

Inactive Publication Date: 2016-05-11
宁波中国科学院信息技术应用研究院 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Due to the long transmission distance and propagation delay in the underwater acoustic sensor network, the movement of the positioned node while waiting to receive the reference message from the reference node will affect the positioning accuracy

Method used

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  • Underwater acoustic sensor network positioning method adapted to mobility
  • Underwater acoustic sensor network positioning method adapted to mobility
  • Underwater acoustic sensor network positioning method adapted to mobility

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Embodiment Construction

[0021] The following gives a mathematical model scheme to determine the optimal reference node set by comparing the positioning error ranges of different reference node sets, and a method of maximizing the reference points received by all different reference nodes within a specified time period by the positioned node. The probability of the message is used to optimize the mathematical model scheme of the transmission time of the reference message of different reference nodes, which is used to effectively reduce the influence of the inherent mobility of nodes in the underwater acoustic sensor network and improve the positioning accuracy.

[0022] The present invention is not limited to the mathematical model scheme. Whenever the positioning method of the underwater acoustic sensor network is studied, the positioning method idea of ​​the present invention is used, that is, the optimal reference node set is selected by establishing the target function of the positioning error range...

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Abstract

The invention discloses an underwater acoustic sensor network positioning method adapted to the mobility. The positioning method belongs to the positioning algorithm field of the underwater acoustic sensor network, and is characterized in that the inherent mobility of nodes is adapted to effectively and the positioning precision is improved. According to the positioning method, a mathematical model is established to calculate positioning errors generated by different reference node sets, a reference node set with the minimal positioning error is selected as the optimal reference node set, another mathematic model is established, the reference message probability of all the different reference nodes received in a prescribed period of a positioned node is maximized to optimize reference message emission time of the different reference nodes, and the positioning precision is improved.

Description

technical field [0001] The invention belongs to the field of positioning algorithms of underwater acoustic sensor networks, and is characterized in that it can better adapt to the inherent mobility of nodes and improve positioning accuracy. In the positioning method of the present invention, the positioning errors generated by different reference node sets are firstly calculated by establishing a mathematical model, and then the optimal reference node set with the smallest positioning error is selected, and then the mathematical model is established to maximize the positioning error of the positioned nodes within a specified time. The probability of receiving the reference messages of all different reference nodes in the segment is used to optimize the transmission time of reference messages of different reference nodes and improve the positioning accuracy. Background technique [0002] The underwater acoustic sensor network is an underwater monitoring network system compose...

Claims

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Application Information

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IPC IPC(8): G01S5/18
Inventor 刘军韩计海
Owner 宁波中国科学院信息技术应用研究院
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