Node Selection Method Based on Network Cost

A technology of node selection and network cost, applied in the field of radar

Active Publication Date: 2020-09-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The document "Sensorselection based on generalized information gain for target tracking in largesensor networks IEEE Trans.Signal Process., vol., 62, no.2, pp.363-375, Jan. 2014" proposes a node selection scheme in the tracking field, but What is considered is how to allocate nodes to achieve the best tracking performance. The quality of the node selection method is completely determined by the tracking performance, ignoring other impacts that node selection may bring to the system, such as node scheduling and communication transmission considered in the present invention. Aspects of risk

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  • Node Selection Method Based on Network Cost

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Embodiment Construction

[0092] In order to describe content of the present invention conveniently, at first the following terms are explained:

[0093] Term 1: PCRLB

[0094] PCRLB is the abbreviation of posterior Bayesian Cramer-Rao lower bound, and its Chinese name is Posterior Cramer-Rao lower bound. It is used as a tracking performance evaluation standard, and the present invention uses it as the lower bound of tracking accuracy.

[0095] Term 2: Goal Prioritization

[0096] Different targets have different threat levels to the radar system, and the priority of tracking targets is ranked according to the threat level. The greater the threat level, the higher the target priority.

[0097] Term 3: Cluster / Cluster Head

[0098] The nodes assigned to the same target in each tracking process form a cluster, and the information of each node in the cluster is fused at a certain node, which is the cluster head of the cluster. The fused information is sent to the processing center by the cluster head n...

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Abstract

The invention discloses a node selection method based on network cost, comprising the following steps: S1, initializing the parameters of the radar networking system; S2, ensuring that the target tracking accuracy meets the requirements, and establishing target tracking error function constraint conditions; S3, establishing The network cost model establishes the resource optimization problem; S4, determines the target priority; S5, determines the node selection matrix; S6, determines the cluster head selection matrix. The invention solves the problem that the existing radar node selection method blindly pursues the maximization of tracking accuracy, which causes the system to increase the risk of node scheduling and communication transmission, and minimizes the cost of nodes and communication while ensuring the tracking accuracy, and realizes The tracking accuracy can be flexibly adjusted with the target position to save radar resources, and the solution process is simple and the accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a node selection method based on network cost. Background technique [0002] The flexibility of the geometric structure and information fusion method of networking radar enables it to be adjusted and applied to various radar scenarios and applications. It has become one of the research hotspots in the field of radar today. It can obtain non-backscattering information of targets, It has the characteristics of long working distance, low-altitude penetration resistance, concealment and strong anti-interference. [0003] The technical basis of radar networking is multi-sensor information fusion technology, which utilizes the information of multiple nodes to realize information complementarity between sensors, which can increase the dimension and confidence of measurement, and improve the fault tolerance and robustness of the system. widely used. When performing tracking tasks, in ord...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): H04L12/24H04W64/00H04W84/18G01S13/66
CPCG01S13/66H04L41/0823H04L41/145H04W64/00H04W84/18
Inventor杨晓波蒋歆玥杨婧付玲枝孙俊易伟袁野孔令讲
OwnerUNIV OF ELECTRONICS SCI & TECH OF CHINA