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Antenna automatic tracking system and method based on machine vision

A machine vision and self-tracking technology, applied in the field of communication, can solve the problems of low tracking accuracy, affecting real-time performance, misoperation, etc., and achieve the effect of high tracking precision and good real-time performance

Inactive Publication Date: 2018-06-15
NINGBO HIGH TECH ZONE XIAOYUAN TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above systems have their own advantages and disadvantages. The advantage of the conical scanning tracking system is that the equipment is simple, and the disadvantage is that the feed source needs to do continuous circular motion, the antenna gain and reliability are not high, and the real-time performance is poor; the step tracking is an open loop method, the tracking accuracy is low, the speed is slow, and when the signal level changes greatly, it may also cause malfunction. Its advantage is that it is relatively simple to implement
Although the single-pulse single-channel tracking method has improved the tracking speed and accuracy compared with the two tracking methods of step tracking and conical scanning, it requires a complex servo feedback system, which is expensive and difficult to maintain; the tracking system based on GPS It is simple to implement, and the cost is low. There are many researches and developments at present (for example, the invention patent CN201510289440), but when the GPS signal of the tracking target is blocked, it may cause the target to be lost, especially in the indoor environment; and the GPS signal The update speed of the provided location information is slow, affecting real-time performance

Method used

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  • Antenna automatic tracking system and method based on machine vision
  • Antenna automatic tracking system and method based on machine vision
  • Antenna automatic tracking system and method based on machine vision

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Experimental program
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Effect test

Embodiment 1

[0024] see figure 1 or figure 2 , the antenna self-tracking system based on machine vision includes a camera 2, a computer 3, a communication device 4, and an antenna 5; the camera 2 is connected to the computer 3, the computer 3 is connected to the communication device 4, and the communication device 4 is connected to the antenna 5 and can control the antenna 5 The camera 2 acquires image information, which includes the image of the mobile device 1 to be tracked, and the computer 3 processes and analyzes the image information sent by the camera, and provides control information to the communication device 4 to control the antenna 5 main beam direction.

[0025] Controlling the main beam direction of the antenna 5 can be realized by two means: the first means, the antenna 5 adopts a directional antenna and installs it on the pan / tilt (the antenna and the pan / tilt can also be integrated together), the pan / tilt can be regarded as a A part of the communication device 4 is an el...

Embodiment 2

[0027] see image 3 , the antenna self-tracking system based on machine vision includes a camera 2, a computer 3, a communication device 4, and an antenna 5; the camera 2 is connected to the computer 3, the camera 2 is linked with the antenna 5, and the computer 3 is connected to the communication device 4 (including the cloud platform), The communication device 4 is connected to the antenna 5 and can control the main beam direction of the antenna 5. The camera 2 acquires image information, which includes the image of the mobile device 1 to be tracked. The computer 3 processes and analyzes the image information sent by the camera to provide control The information is sent to the communication device 4 to control the direction of the main beam of the camera 2 and the antenna 5 . The antenna 5 adopts a directional antenna and installs it on the pan-tilt, and the computer 3 controls the movement of the pan-tilt so that the main beam direction of the directional antenna is aligned...

Embodiment 3

[0030] see Figure 4 , the antenna self-tracking system based on machine vision includes a camera 2, a computer 3, a communication device 4, and an antenna 5; there are multiple cameras 2, all connected to the computer 3, the first camera 2 is linked with the antenna 5, and the second camera 2 Without linkage with the antenna 5, the computer 3 is connected to the communication device 4 (including the PTZ), the communication device 4 is connected to the antenna 5 and can control the main beam direction of the antenna 5, the camera 2 obtains image information, and the image contains the movement that needs to be tracked For the image of the device 1, the computer 3 processes and analyzes the image information sent by multiple cameras, provides control information to the communication device 4, and controls the direction of the main beam of the camera 2 and the antenna 5. The antenna 5 adopts a directional antenna and installs it on the pan-tilt, and the computer 3 controls the m...

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PUM

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Abstract

An antenna needs to aim at a target moving facility in real time during the tracking process. An antenna automatic tracking system based on machine vision comprises a camera (2), a computer (3), a communication facility (4), and an antenna (5). The camera (2) is connected to the computer (3). The computer (3) is connected to the communication facility (4). The communication facility (4) is connected to the antenna (5) and is capable of controlling the direction of the main beam of the antenna (5). The camera captures image information, and the images comprise a moving facility, which needs tobe tracked. The computer processes and analyzes the image information sent by the camera to obtain the position information of the moving facility; through calculation, the azimuth information of a tracking antenna or the control input information of an intelligent antenna can be obtained, the main beam direction is controlled so that the moving facility is always in the effective coverage range of the main beam of the antenna, and high quality communication is realized. The system is a closed loop control system, the tracking precision is high, and moreover, the system does not need any GPS signal and can well track an object in real time.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a machine vision-based antenna self-tracking system and method. Background technique [0002] Mobile equipment, such as vehicles, ships and aircraft (mainly drones), can transmit data between stations (including communication equipment) through data links during the movement process. The data link is divided into an uplink and a downlink. The uplink is for the station to send information to the mobile device, and the downlink is for the mobile device to send information to the station. Taking the UAV as an example, the uplink is that the ground station (site) packages the control information of the UAV (mobile equipment) using a communication protocol, and then sends it to the UAV flight controller through the antenna. Respond to the control information after unpacking; the downlink is that the UAV controller packs the flight data and encodes the collected images, and sen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C11/02G05D3/20
CPCG01C11/02G05D3/20
Inventor 陈彪陈晓圆
Owner NINGBO HIGH TECH ZONE XIAOYUAN TECH