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Node selection method based on EFIM and distance cooperation in cooperative positioning

A technology of node selection and cooperative positioning, which is applied to services based on specific environments, electrical components, wireless communications, etc., and can solve problems such as reduced positioning accuracy

Active Publication Date: 2018-11-13
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, use RSS to determine the set of auxiliary nodes and the nearest neighbor node selection method (NNSM). When the environment is complex and changeable, the positioning accuracy of these two methods will be greatly reduced.

Method used

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  • Node selection method based on EFIM and distance cooperation in cooperative positioning
  • Node selection method based on EFIM and distance cooperation in cooperative positioning
  • Node selection method based on EFIM and distance cooperation in cooperative positioning

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Embodiment approach

[0015] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. This example is limited to illustrate an implementation method of the present invention, and does not represent a limitation to the scope of coverage of the present invention. figure 1 The scene graph to be positioned in the present invention. figure 2 Comparison chart of positioning accuracy between the present invention and other algorithms. image 3 A diagram of the relationship between the number of auxiliary nodes of the present invention and other algorithms with the set SPEB threshold value.

[0016] In order to reduce the impact of random errors, 200 Monte Carlo simulation tests are performed by Matlab to verify the performance of a node selection method based on EFIM and distance cooperation proposed by the present invention, and compared with existing node selection algorithms. The location root mean square error (RMSE) is used to comp...

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Abstract

The invention relates to a node selection method based on EFIM and distance cooperation in cooperative positioning. The method comprises the following steps: 1) placing a proxy node and an anchor nodein a scene, and calculating their distances with a target node to be positioned; 2) obtaining a Fisher information matrix FIM, decomposing and quantizing the high-dimensional FIM to obtain a two-dimensional equivalent Fisher information matrix EFIM; 3) when the target node cooperates with the anchor node, calculating a square SPEB of a location error limit of the node according to the EFIM of theanchor node; and when the target node cooperates with a neighbor proxy node, calculating the SPEB according to the EFIM of the proxy node. The node is selected from the neighbor nodes according to anew node selection standard, and a set of auxiliary nodes is constructed to position the target node.

Description

technical field [0001] The invention belongs to the field of wireless sensor network positioning, and in particular relates to the application of a cooperative positioning node selection algorithm to target node positioning in a wireless sensor network. Background technique [0002] Positioning is to obtain the location information of the target of interest in space. In today's Internet era, business, navigation, search and rescue, military and other fields have higher and higher requirements for location information, in which wireless positioning technology plays an important role. The position of the target node can be inferred and estimated by the received signal, usually according to the time of arrival (TOA) of the signal, the time difference of arrival (TDOA) of the signal, the angle of arrival (AOA) of the signal and the signal strength of the received signal (RSS) . External interference of the signal during propagation will cause the measured RSS to be unstable, a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/38H04W64/00
CPCH04W64/006H04W4/38
Inventor 马永涛唐有朋
Owner TIANJIN UNIV