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Correlation-based multi-sensor collaborative target detection method

A multi-sensor, target detection technology, applied in the field of sensor networks, which can solve the problems of low accuracy and local judgments susceptible to noise interference.

Inactive Publication Date: 2012-11-14
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the existing target detection methods are detection methods based on local judgment fusion. Since the local judgment of a single node is easily affected by noise interference, the accuracy of fusion detection results based on this is low.

Method used

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  • Correlation-based multi-sensor collaborative target detection method
  • Correlation-based multi-sensor collaborative target detection method
  • Correlation-based multi-sensor collaborative target detection method

Examples

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Embodiment Construction

[0033]The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0034] This embodiment provides an example of multi-sensor cooperative target detection using the method of the present invention.

[0035] The sensor node adopts the infrared sensor node produced by Crossbow Company, and takes the active personnel in a certain area as the detection target. The sensor nodes are randomly and uniformly distributed in an area of ​​200m×200m, the number of nodes is 45, and the wireless communication radius is 100m; the noise is Gaussian noise, and the critical angle θ 0 It is set to 45°, the detection window length T is set to 10ms~200ms; the maximum moving speed of personnel is 8m / s.

[0036] refer to figure 1 and image 3 , the specific process of this embodiment is as follows:

[0037] 1) Each sensor node independently measures the signal in the monitoring area, and sets a trigger threshold for cooperative detection ...

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Abstract

The invention discloses a correlation-based multi-sensor collaborative target detection method. The method is characterized by comprising the following steps that sensor nodes measure signals in a monitoring area independently; when the measured value of a certain sensor node exceeds a preset threshold, triggering to generate a dynamic detection cluster; member nodes in the cluster transmit a detection value sequence in a period of time to a cluster head node to form a detection matrix; and the cluster head node calculates the correlation measure among detection vectors in the detection matrix, and judges the existence of a target according to a calculation result. The target detection method provided by the invention is a measured value-based fusion detection method; a single sensor node does not need to perform local judgment; the influence on the judgment result caused by noises can be inhibited effectively; and the detection result has high accuracy. The method can be used in the aspects such as anti-intrusion alarm, people search and rescue under sudden disasters and traffic control in important places and areas.

Description

technical field [0001] The invention relates to a target detection method, in particular to a multi-sensor cooperative target detection method, which belongs to the technical field of sensor networks. Background technique [0002] Target detection is one of the important application directions of sensor networks. For example, in anti-intrusion alarm and emergency search and rescue applications, it is necessary to accurately detect whether there is a target in the monitoring area. In addition, target detection is also the foundation and premise of some other applications. For example, in the battlefield target monitoring application, the target must be detected first, and then the positioning and tracking of the target can be realized. [0003] The main indicators to measure the performance of target detection algorithms are detection rate, missed detection rate and false alarm rate. The detection rate refers to the probability that the detection system correctly detects the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/08H04W84/18
Inventor 朱爱红蒋文涛李连苏涛
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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