Radar and infrared sensor deployment method applied to target tracking

An infrared sensor and target tracking technology, applied in the field of target tracking, can solve the problems of local optimal solution, deployment model cannot realize the deployment of multiple heterogeneous sensors, etc., achieve the effect of reducing the number of iterations, satisfying real-time performance, and expanding the application field
CN110286383AActive Publication Date: 2019-09-27UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2019-09-27

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Abstract

The invention discloses a radar and infrared sensor deployment method applied to target tracking, and belongs to the technical field of target tracking. The method comprises the following steps of modeling a sensor deployment, wherein the sensor comprising a radar and an infrared sensor; constructing and introducing a scoring system, and quantizing the deployment of the sensors into a high-dimensional multi-peak optimization problem; obtaining a dimension reduction particle swarm algorithm based on the improvement of the traditional particle swarm algorithm, carrying out dimension reduction and iteration processing on an optimization problem, and solving a global optimal solution; and deploying the sensor according to the global optimal solution. The radar and infrared sensor deployment method applied to target tracking solves the problems that the existing sensor deployment method is not suitable for the task requirement of target tracking, a deployment model cannot realize the deployment of a plurality of heterogeneous sensors, and the sensors are easy to fall into a local optimal solution when being optimally deployed.
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Description

technical field

[0001] The invention belongs to the technical field of target tracking, and relates to a radar and infrared sensor deployment method applied to target tracking. Background technique

[0002] Target tracking is the process of estimating the state information of the target according to the data obtained by each sensor in the wireless sensor network (WSN). With the development of multi-source information fusion technology, it has been proved that multiple heterogeneous sensors can track targets simultaneously with higher tracking accuracy than using a single sensor. The main techniques for tracking using multi-source information fusion are: extended Kalman filter, unscented Kalman filter, etc. Sensors commonly used for tracking include radar and infrared sensors. In actual target tracking, it is difficult to ensure that each target can be detected by multiple heterogeneous sensors. Under normal circumstances, it can be detected by multiple heterogeneous sensor...

Claims

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