Event-triggered multi-sensor fusion estimation method in correlated noise environment

An event-triggered, correlated noise technology, applied to instruments, radio wave reflection/re-radiation, utilization of re-radiation, etc., can solve problems such as inability to effectively overcome radar system interference, poor tracking effect, etc., to achieve full utilization and computational load The effect of small, low energy consumption

Active Publication Date: 2019-04-30
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Application Information

AI Technical Summary

Benefits of technology

This technology uses special hardware that sends signals when certain events happen or triggering them on timescales shorter than usual. It saves power by only sending these things once they are triggered without actually measuring it again for each occurrence.

Problems solved by technology

This patents describes how radio technology works for improving detection capabilities on objects that may be hidden from view (blind spot). Specifically, they discuss ways to improve communication quality when transmitting radar images wirelessly over large distances without being affected or blocked by obstacles like trees or buildings. Additionally, there have been suggestions about combining radar systems together to achieve better performance than just one individual component alone.

Method used

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  • Event-triggered multi-sensor fusion estimation method in correlated noise environment
  • Event-triggered multi-sensor fusion estimation method in correlated noise environment
  • Event-triggered multi-sensor fusion estimation method in correlated noise environment

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Embodiment Construction

[0096] In order to make the purpose of the present invention, technical scheme and advantage clearer, the following examples illustrate the present invention:

[0097] Hardware environment: computer; correlator

[0098] Software configuration: Windows 2000 / XP; any language environment software such as matlab or C language or C++.

[0099] The technical solution of the present invention will be further described in detail by means of drawings and examples below.

[0100] The block diagrams of event-triggered Kalman filter estimation method and multi-sensor sequential fusion estimation method in correlated noise environment are as follows: figure 1 , as shown in 2.

[0101]A multi-rate sensor, discrete-time linear dynamical system with N sensors observing the same target can be described as x(k+1)=A(k)x(k)+w(k), k=0,1,…

[0102] z i (k)=C i (k)x(k)+v i (k), i=1,2,...,N

[0103] where x(k)∈R n is the system state A(k)∈R n×n is the state transition matrix, w(k) is the sys...

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Abstract

The invention belongs to the technical field of multi-sensor information fusion in the aspect of information processing. According to the selected method, in a correlated noise environment, based on aclass of linear dynamic system, with radar target tracking as the background and with acquisition of high-precision target information as a target, the problems of event-triggered Kalman filtering state estimation and multi-sensor sequential data fusion are studied. The event-triggered multi-sensor fusion estimation method in the correlated noise environment is characterized in that a event-triggered sampling strategy is used technologically, the occupancy of the network bandwidth can be reduced, and the energy consumption for data transmission is saved; in view of the correlated noise environment, the energy consumption can be reduced, and observation data can be used timely and thoroughly for optimal estimation; the acquired estimation value is the optimal in the sense of linear minimumvariance; through a computer simulation experiment, the feasibility and the validity of the method are tested; and the disclosed method has potential value in many application fields such as radar target tracking, integrated navigation, fault detection and process monitoring.

Description

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Claims

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Application Information

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Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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