4.5 Novel Reverse Design Method of Tag Antenna Based on Image Analysis
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and take a long time. Since the performance is affected by different parameters, the
adjustment parameters are more complicated and the calculation workload is huge.
Compared with other electromagnetic calculation methods, this method can acquire
a large number of images in a short time. The imaging method can quickly determine the antenna parameters, and the real-time performance is good. Under the same
antenna structure, the antenna parameters can be changed according to the design
requirements without more calculations. The neural network optimization method
has high precision. However, it is a complicated job, and some parameters of the
neural network need to be adjusted according to different prediction work.
The antenna design process is relatively simple by the antenna reverse design
method of SAR image analysis. Moreover, the radiation intensity and distribution
information of the antenna can be discriminated by image information and feature
values, and the result is a more intuitive and real-time result.
4.6 Conclusion
Firstly, this chapter presents the research of RFID tag positioning method based on
three-dimensional space multi-tag positioning system. In this chapter, the horizontal
and vertical CCD are used to collect relative experimental images. Threshold segmentation and edge detection algorithms are used to draw the bottom pattern of the label
holder (r n cos θ n , r n sin θ n ) taken by the vertical CCD camera. Then used the edge
detection algorithm to match the area where the label is taken by the horizontal CCD
camera to determine its height information h n . That is, the complete coordinate information of the obtained labels is distributed in three-dimensional space. Therefore,
the problem of accurate identification of the spatial distribution of RFID multi-tags
in a complex environment is obtained, which provides an important reference for
improving the research of RFID tag reading performance.
Then, according to the practical application requirements of the UHF antenna, a
bent dipole antenna is designed and combined with an impedance matching loop.
The structure of the antenna is simple, and the structural parameters are easy to adjust
to achieve a good impedance matching effect between the antenna and the chip. On
this basis, through the analysis of SAR images, the antenna can be reverse engineered
according to the actual application requirements of the antenna, so that the antenna
design can meet the application requirements. The reverse design method is simple
and more intuitive to reflect the gap between design and application. This paper
provides guidance and direction for the design of RFID antennas.
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and take a long time. Since the performance is affected by different parameters, the
adjustment parameters are more complicated and the calculation workload is huge.
Compared with other electromagnetic calculation methods, this method can acquire
a large number of images in a short time. The imaging method can quickly determine the antenna parameters, and the real-time performance is good. Under the same
antenna structure, the antenna parameters can be changed according to the design
requirements without more calculations. The neural network optimization method
has high precision. However, it is a complicated job, and some parameters of the
neural network need to be adjusted according to different prediction work.
The antenna design process is relatively simple by the antenna reverse design
method of SAR image analysis. Moreover, the radiation intensity and distribution
information of the antenna can be discriminated by image information and feature
values, and the result is a more intuitive and real-time result.
4.6 Conclusion
Firstly, this chapter presents the research of RFID tag positioning method based on
three-dimensional space multi-tag positioning system. In this chapter, the horizontal
and vertical CCD are used to collect relative experimental images. Threshold segmentation and edge detection algorithms are used to draw the bottom pattern of the label
holder (r n cos θ n , r n sin θ n ) taken by the vertical CCD camera. Then used the edge
detection algorithm to match the area where the label is taken by the horizontal CCD
camera to determine its height information h n . That is, the complete coordinate information of the obtained labels is distributed in three-dimensional space. Therefore,
the problem of accurate identification of the spatial distribution of RFID multi-tags
in a complex environment is obtained, which provides an important reference for
improving the research of RFID tag reading performance.
Then, according to the practical application requirements of the UHF antenna, a
bent dipole antenna is designed and combined with an impedance matching loop.
The structure of the antenna is simple, and the structural parameters are easy to adjust
to achieve a good impedance matching effect between the antenna and the chip. On
this basis, through the analysis of SAR images, the antenna can be reverse engineered
according to the actual application requirements of the antenna, so that the antenna
design can meet the application requirements. The reverse design method is simple
and more intuitive to reflect the gap between design and application. This paper
provides guidance and direction for the design of RFID antennas.