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Target tracking method based on fisher information matrix and sukf

An information matrix and target tracking technology, applied in the field of communication, can solve problems such as poor effectiveness, achieve the effects of reducing interference, reducing energy consumption, and improving work efficiency

Active Publication Date: 2020-05-12
CHANGCHUN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention solves the problem that there are many participating nodes in the control mode of the existing wireless network nodes, adopts static cluster node selection, needs to cluster the entire network, and has poor effectiveness, and provides a target tracking algorithm based on Fisher information matrix and SUKF

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  • Target tracking method based on fisher information matrix and sukf
  • Target tracking method based on fisher information matrix and sukf
  • Target tracking method based on fisher information matrix and sukf

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specific Embodiment approach 1

[0040] Specific implementation mode 1. Combination figure 1 with figure 2 Describe this embodiment, the target tracking method based on Fisher information matrix and SUKF, this method is realized by the following steps:

[0041] 1. Node selection method based on Fisher information matrix

[0042] The dynamic cluster node selection standard used in this embodiment is related to the Fisher information matrix of the target.

[0043] In the formula (2) of the node selection standard, the reference information measurement parameter C' k , the information measure forehead formula (1) is expressed as: C' k (S)=det(J b )

[0044] The formula for the selection criteria of nodes is as follows

[0045]

[0046] where the information measure C' kThe relationship between the estimated error covariance matrix R of the target position and the Fisher information matrix in the Cramer-Rao lower bound theory can be expressed as follows:

[0047] R>J -1 (3)

[0048] in,

[0049] ...

specific Embodiment approach 2

[0073] Specific embodiment two, combine Figure 1 to Figure 6 Describe this embodiment, this embodiment is an embodiment of the target tracking method based on Fisher information matrix and SUKF described in the first embodiment: the present invention calculates the detection node through the prediction covariance matrix and measurement covariance matrix in the filtering process The Fisher information matrix between the moving target and the moving target can be used to obtain the information criterion to measure the tracking accuracy of the node at this moment; the information criterion is combined with the remaining energy of the node, so as to serve as a new clustering criterion; the cluster node in the wireless sensor network The state is divided into sleep, standby, and tracking. The transmission and processing of data in the cluster under the clustering method does not require the centralized processing of the cluster head, which improves the utilization rate of energy a...

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Abstract

The invention discloses a target tracking method based on Fisher information matrix and SUKF, and relates to the field of communication technologies, aiming at addressing too many nodes that are required in the control methods of current wireless network nodes and ineffectiveness caused by the need to cluster the entire network when static cluster node is employed to perform selection. According to the invention, the method includes the following steps: establishing a dynamic tracking cluster based on Fisher information matrix method; using the SUKF-based target tracking filter algorithm to conduct filtering and information delivery on the established dynamic tracking cluster. According to the invention, the method herein prevents all observation data from being centralized processed in current centralized filter, lowers energy loss in the process of transmitting data and receiving data, and reduces burden to cluster heads. The task of the filter algorithm is simultaneously and distributively executed by a plurality of sub-nodes. The method herein allocates the work of cluster heads to respective member nodes, so that the method greatly reduces data transmission among nodes, and prevents data collision and interference. Through simulation comparison with the centralized filter algorithm, the method herein reduces network energy consumption at the maximum level and increases estimation precision.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a target tracking method based on Fisher information matrix and scale unscented Kalman filter (SUKF, scale unscented Kalman filter) under wireless sensor network. Background technique [0002] The development of Wireless Sensor Network (WSN: Wireless Sensor Network) is especially benefited from the development of technologies such as wireless communication, low-power embedded technology and system-on-chip in the current era. It is widely used in anti-terrorism, war, rescue, health, people's livelihood and other fields due to its advantages of small size, low cost, easy promotion and sound information collection, and target tracking is an important application field. The topological structure of the wireless sensor network has a great influence on improving the efficiency of the MAC protocol and the routing protocol of the whole network, and is the basis of data tra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/715H04W4/02H04W4/029H04W40/20H04W52/02
CPCH04L45/46H04W4/021H04W40/20H04W52/0203H04W84/18Y02D30/70
Inventor 白雪梅王锋张晨洁郭滨胡汉平耿小飞
Owner CHANGCHUN UNIV OF SCI & TECH
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