142
4 Image Theory of RFID System Physical Anti-Collision
be considered when designing the antenna, but the antenna performances cannot be
fully improved.
The basic model used in this paper is a half-wave dipole antenna, and an impedance
matching loop is added to the antenna. This model has a simple structure and strong
applicability. Antenna performance can be varied by adjusting the basic antenna
geometry. The antenna can quickly adjust the impedance value of the tag antenna
by changing the parameters of the center impedance matching loop to achieve the
purpose of matching with the tag chip. Through the changes and analysis of the
antenna parameters, the key factors affecting the antenna performance indicators can
be summarized. Referring to the existing analysis results, the tag antennas that meet
the requirements of different applications can be obtained through corresponding
parameter optimization.
In this chapter, the dipole antenna model was analyzed theoretically, and the
important parameters that affect the antenna performance were found out. Taking
the bent dipole antenna as an example, this paper analyzed the parameters of the
dipole tag antenna combined with the impedance matching model and studied the
influence of each parameter on the antenna, which provides the direction for the
optimization of the antenna design. The antenna model has relatively independent
performance changes, so it is easy to adjust the parameters to make the antenna meet
certain application requirements.
At the same time, combined with optical, electromagnetic, and scientific
computing visualization technology, the electromagnetic field radiation intensity of
the tag antenna is more intuitively expressed [9–11]. The image processing method
is used to optimize the interference factors of the electromagnetic radiation field
around the tag antenna, and the antenna is reverse designed. Therefore, the RFID
tag is designed with minimal limits to optimize the spatial electromagnetic field
strength and electromagnetic wave receiving capability. The research method in this
paper provides a novel method for antenna design. The motivation of the paper
is to simplify the complexity of the antenna design algorithm. Compared with the
traditional method, the method reduces the calculation difficulty and simplifies the
parameter selection of the antenna design [12–14].
The content of this study is as follows: The second part introduces the antenna
structure, analyzes the influence of the main parameters of the antenna on the antenna
performance, and introduces the reverse design method of the RFID antenna. The
third part simulates and analyzes the test results of the influence of antenna parameters
on performance, and inversely designs the antenna. The fourth part introduces the
conclusion and significance of this chapter.
4.5.2 Design of UHF RFID Dipole Tag Antenna
(1) RFID antenna reverse design method
Figure 4.24 is a half-wave dipole antenna model with the impedance matching
loop. For l is the length of the dipole antenna; a, b, w
is the length, width, and
4 Image Theory of RFID System Physical Anti-Collision
be considered when designing the antenna, but the antenna performances cannot be
fully improved.
The basic model used in this paper is a half-wave dipole antenna, and an impedance
matching loop is added to the antenna. This model has a simple structure and strong
applicability. Antenna performance can be varied by adjusting the basic antenna
geometry. The antenna can quickly adjust the impedance value of the tag antenna
by changing the parameters of the center impedance matching loop to achieve the
purpose of matching with the tag chip. Through the changes and analysis of the
antenna parameters, the key factors affecting the antenna performance indicators can
be summarized. Referring to the existing analysis results, the tag antennas that meet
the requirements of different applications can be obtained through corresponding
parameter optimization.
In this chapter, the dipole antenna model was analyzed theoretically, and the
important parameters that affect the antenna performance were found out. Taking
the bent dipole antenna as an example, this paper analyzed the parameters of the
dipole tag antenna combined with the impedance matching model and studied the
influence of each parameter on the antenna, which provides the direction for the
optimization of the antenna design. The antenna model has relatively independent
performance changes, so it is easy to adjust the parameters to make the antenna meet
certain application requirements.
At the same time, combined with optical, electromagnetic, and scientific
computing visualization technology, the electromagnetic field radiation intensity of
the tag antenna is more intuitively expressed [9–11]. The image processing method
is used to optimize the interference factors of the electromagnetic radiation field
around the tag antenna, and the antenna is reverse designed. Therefore, the RFID
tag is designed with minimal limits to optimize the spatial electromagnetic field
strength and electromagnetic wave receiving capability. The research method in this
paper provides a novel method for antenna design. The motivation of the paper
is to simplify the complexity of the antenna design algorithm. Compared with the
traditional method, the method reduces the calculation difficulty and simplifies the
parameter selection of the antenna design [12–14].
The content of this study is as follows: The second part introduces the antenna
structure, analyzes the influence of the main parameters of the antenna on the antenna
performance, and introduces the reverse design method of the RFID antenna. The
third part simulates and analyzes the test results of the influence of antenna parameters
on performance, and inversely designs the antenna. The fourth part introduces the
conclusion and significance of this chapter.
4.5.2 Design of UHF RFID Dipole Tag Antenna
(1) RFID antenna reverse design method
Figure 4.24 is a half-wave dipole antenna model with the impedance matching
loop. For l is the length of the dipole antenna; a, b, w
is the length, width, and