An event-triggered multi-sensor fusion estimation method in correlated noise environment

An event-triggered, noise-related technology, applied in the direction of instruments, radio wave reflection/re-radiation, measurement devices, etc., can solve the problems of inability to effectively overcome radar system interference, poor tracking effect, etc., to save network bandwidth and transmission energy. power consumption, improve accuracy, overcome system noise, and observe noise-related effects

Active Publication Date: 2021-05-04
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

The classical filter estimation and data fusion methods commonly used at present cannot effectively overcome the interference of correlated noise to the radar system, which will lead to poor tracking effect

Method used

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  • An event-triggered multi-sensor fusion estimation method in correlated noise environment
  • An event-triggered multi-sensor fusion estimation method in correlated noise environment
  • An 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 scheme of the present invention will be further described in detail below by means of the accompanying drawings and examples.

[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, ...

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Abstract

The invention belongs to the technical field of multi-sensor information fusion in the aspect of information processing. The selected method is based on a class of linear dynamic systems in a correlated noise environment, with radar target tracking as the background, to obtain high-precision target information as the goal, and study its event-triggered Kalman filter state estimation and multi-sensor sequential data fusion problems . It is characterized in that the event-triggered sampling strategy is used technically, which can reduce network bandwidth occupation and save data transmission energy consumption; for noise-related environments, it can reduce energy consumption and make optimal estimation by timely and fully utilizing observation data. The obtained estimates are optimal in the sense of linear minimum variance. The feasibility and effectiveness of the invented method are tested by computer simulation experiment. The method proposed by the invention has potential value in many application fields, such as radar target tracking, integrated navigation, fault detection, process monitoring and so on.

Description

technical field [0001] The invention belongs to the technical field of multi-sensor information fusion in the aspect of information processing, and relates to an event-triggered multi-sensor fusion estimation method in a correlated noise environment. Background technique [0002] Radar is generally divided into two parts: the radar front-end and the radar terminal. The radar front-end includes an antenna, a transceiver and a signal preprocessing unit to realize the transmission and reception of high-frequency electromagnetic waves, preprocess the received electromagnetic wave signals, and calculate the , size, energy range and other information of the target point trace information; the radar terminal includes a control unit, a display unit and a signal processing unit to realize the control of the radar front-end, receive and display the radar image sent by the radar front-end, and receive the radar image sent by the radar front-end The track information data of the target,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/66G01S7/02
CPCG01S7/02G01S13/66
Inventor 闫莉萍姜露夏元清张金会刘坤戴荔翟弟华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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