Wireless sensor network target tracking method based on distributed processing

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 ...

AI Technical Summary

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 wireless sensor network based on distributed processing either has a large amount of calculation and cannot realize real-time tracking, or the amount of observation data is too large, the interference is too large, and the tracking accuracy is not high.

Greatly limit the application range of wireless sensor network target tracking

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