Wireless sensor network target tracking method based on distributed processing

A wireless sensor and distributed processing technology, applied in network topology, wireless communication, radio wave measurement system, etc., can solve problems such as large amount of calculation, too much interference, and large amount of observation data, so as to reduce the parameter dimension and reduce the Effect of measurement error and tracking output smoothing

Inactive Publication Date: 2009-08-12
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

Although the above method has relatively high accuracy, due to the large calculation and communication overhead, it is difficult to meet the real-time and accuracy requirements of moving target tracking, and it cannot be realized or the efficiency is not high in WSN.
[0004] At present, the target tracking method of wireles

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  • Wireless sensor network target tracking method based on distributed processing
  • Wireless sensor network target tracking method based on distributed processing
  • Wireless sensor network target tracking method based on distributed processing

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[0036] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following describes in further detail a target tracking method based on distributed processing in a wireless sensor network of the present invention with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0037] The wireless sensor network target tracking algorithm based on distributed processing of the present invention is to overcome the complexity of traditional tracking methods, the large amount of information transmission, the large amount of calculation, and the large energy consumption. It is introducing the extended Kalman filter algorithm At the same time, the principle of minimum state error covariance matrix trace is used to select task nodes, which reduces processor energy consumption, reduces d...

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Abstract

The invention discloses a target tracking method based on a distributed processing wireless sensor network, which comprises the following steps: observing data by utilizing last moment target state estimation information and current moment task nodes, and performing extended Kalman filter to obtain current moment target state estimation information; calculating to obtain a prior estimation error covariance matrix track of a next moment candidate task node according to the current moment target state estimation information, and comparing and selecting a node corresponding to the minimum track as a next moment task node; and when the prior estimation error covariance matrix track corresponding to the next moment task node is greater than a set threshold, adopting a target track correction algorithm to acquire the current moment target state estimation information again to realize the target positioning and tracking. The method can effectively reduce communication between nodes, save energy resources and communication resources of the nodes, and meet the requirements of accuracy, real-time and robustness of node positioning simultaneously.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks (WSN), in particular to a target tracking algorithm based on distributed processing of wireless sensor networks. Background technique [0002] Wireless sensor network (WSN: wireless sensor network) is considered to be one of the most important emerging technologies in the 21st century. Target tracking is an important application field of WSN. In a wireless sensor network, due to the large number of nodes, the resources of a single node are limited , the communication bandwidth is small, and higher requirements are put forward for the optimization of routing, the security of node communication, and energy saving. Wireless sensor networks must rely on cooperative signal and information processing to dynamically manage node resources and effectively process based on task requirements and resources. Distribution information under constraints. The huge energy consumption generated by ...

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Application Information

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IPC IPC(8): H04W64/00H04W84/18H04L25/02G01S5/02
CPCY02B60/50Y02D30/70
Inventor 胥布工危阜胜曾明黎善斌刘贵云刘永桂
Owner SOUTH CHINA UNIV OF TECH
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