Mobile node parameter adaptive track prediction method

A trajectory prediction, mobile node technology, used in electrical components, wireless communications, location-based services, etc.

Inactive Publication Date: 2015-09-23
SHANGHAI MARITIME UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The invention provides a parameter adaptive trajectory prediction method for mobile nodes, which solves the problems of high dynamics and other problems faced in the positioning of nod

Method used

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  • Mobile node parameter adaptive track prediction method
  • Mobile node parameter adaptive track prediction method
  • Mobile node parameter adaptive track prediction method

Examples

Experimental program
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specific Embodiment

[0073] Determining the Motion Correlation Coefficient

[0074] Construct the wave motion model with linear waves, and in case of shipwreck, according to the ship-borne Global Positioning System (Global Position System, GPS), Emergency Position Indicator Radio Beacon (EPIRB), search or search and rescue astronomical artificial satellite system ( Search And Rescue Satellite Aided Tracking, SARSAT) and other equipment determine the initial position and motion of the node when it falls into the water, as the initial speed and direction of the node motion under the GMMM model, and the motion speed and direction of the node at the next moment are based on the motion of the node in the previous time period The data is updated.

[0075] Suppose a certain sea area m mobile beacon node p 1 ,p 2 ,...p m The position is known in real time, let a certain node p i The set of positions at time 1, time 2, ... time t is:

[0076] {p i |(x 1 ,y 1 ), (x 2 ,y 2 ),...(x t ,y t )}

...

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Abstract

The invention relates to a mobile node parameter adaptive track prediction method. The influences of environmental factors on nodes under a dynamic sea condition are considered; the adaptability to a variable environment is fully considered specific to the requirement of a sea moving object on a positioning method; and the motion situations of beacon nodes are introduced into node motion track prediction. After a motion track is determined, a sampling region and a sample point weight are determined on the basis of an improved Monte Carlo method. Information about relative positions with one-hop and two-hop beacon nodes in the motion processes of unknown nodes is taken as a filter condition, so that the sampling rate, sampling speed and positioning accuracy are increased. The adaptive track prediction method can be established according to environmental changes. The motion tracks of the unknown nodes are predicted through effective utilization of the motion situations of sea area beacon nodes, and an improved Monte Carlo positioning method is put forward in combination with motion characteristics, so that the sea dynamic node positioning capability can be enhanced, and the sea search-rescue speed and success rate are increased.

Description

technical field [0001] The invention relates to the field of maritime search and rescue wireless sensor networks, in particular to a parameter adaptive trajectory prediction method of a mobile node. Background technique [0002] The rapid development of the economy and the continuous expansion of foreign trade have promoted the development of marine undertakings such as maritime transportation, and the ocean has become an important support for the survival and development of human society. People's efforts to develop, utilize, protect and manage the ocean are constantly increasing. Coastal countries have taken the development of marine economy as an important development strategy. With the rapid development of maritime economy and trade, the number of marine employees has increased sharply, and the number of maritime accidents and casualties has also continued to rise, resulting in increasingly arduous tasks of maritime search and rescue and object tracking and positioning. ...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04W84/18H04W4/02
CPCH04W4/027H04W64/006H04W84/18H04W4/029
Inventor 吴华锋郭世俊
Owner SHANGHAI MARITIME UNIVERSITY
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