Moving target tracking method based on multiple-sampling-rate multiple-model fusion estimation

A moving target, fusion estimation technology, applied in power management, advanced technology, measurement devices, etc., can solve problems such as poor flexibility and high energy consumption, and achieve the effect of reducing network energy consumption and ensuring tracking accuracy

Active Publication Date: 2014-10-08
ZHEJIANG UNIV OF TECH
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[0003] In order to overcome the disadvantages of poor flexibility and high energy consumption of the existing moving target tracking methods, the present invention provides a method to

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  • Moving target tracking method based on multiple-sampling-rate multiple-model fusion estimation
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  • Moving target tracking method based on multiple-sampling-rate multiple-model fusion estimation

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[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] refer to Figure 1 to Figure 5 , a kind of moving target tracking method based on multi-sampling rate multi-model fusion estimation, described method comprises the following steps:

[0028] Step 1) Divide the speed of the moving target into L different levels, the wireless sensor network into m different clusters, and the sensor nodes into n different sampling rates. Select the state variables (position, velocity, acceleration) of the moving target, and establish the state space model of moving target tracking under n sampling rates;

[0029] Step 2) The cluster head node collects the measurement information of the nodes in its cluster, according to the state space model at the current sampling rate, applies the Extended Kalman (EKF) method to obtain the local estimation of the moving target, and uses the local estimation results and its residual energy informa...

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Abstract

Provided is a moving target tracking method based on multiple-sampling-rate multiple-model fusion estimation. The method comprises the following steps: a wireless sensor network is divided into m clusters, and state space models at different sampling rates are established; a cluster head node obtains a local estimation result through an EKF method; and a fusion center synchronizes all local estimations to the same time point, obtains a fusion estimation result through a CI fusion method, and adjusts the sampling rate of a network node according to an estimated value of the target velocity and energy information of the cluster head node. The provided moving target tracking method based on multiple-sampling-rate multiple-model fusion estimation can reduce the energy consumption of the sensor network and improve the flexibility on the premise of ensuring the tracking accuracy, robustness and fast response ability.

Description

technical field [0001] The invention relates to the field of moving target tracking, in particular to a method for real-time tracking of moving targets. Background technique [0002] Due to its self-organization, robustness and wide-area coverage, wireless sensor network has important application value in the fields of environment detection, vehicle tracking, military reconnaissance and military target tracking. In the field of target tracking, when evaluating tracking methods, it is necessary to comprehensively consider tracking accuracy, tracking robustness, energy consumption, and tracking reaction time. In order to improve the tracking accuracy, a multi-sensor information fusion estimation method is proposed, that is, the tracking accuracy is improved by fusing the measurement information of multiple sensors. In particular, by adopting the distributed state fusion estimation method, a fusion estimation result with higher accuracy can be obtained by fusing each local sta...

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Application Information

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IPC IPC(8): G01S5/02H04W64/00H04W52/02
CPCG01S5/0294G01S5/16G01S5/18Y02D30/70
Inventor 张文安杨旭升俞立刘安东陈博
Owner ZHEJIANG UNIV OF TECH
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