Bibliographic Details
| Title: |
Radiation Pattern Prediction for Third‐Order Intermodulation of the Reconfigurable Reflectarray Antenna With Embedded Varactor. |
| Authors: |
Tang, Xianli1,2 (AUTHOR), Jia, Yonghao1,2 (AUTHOR) yonghao.jia@seu.edu.cn, Xu, Yuehang3,4 (AUTHOR), Zhang, Xin1,2 (AUTHOR), Lu, Wei‐Bing1,2 (AUTHOR) |
| Source: |
International Journal of Numerical Modelling. Jan/Feb2026, Vol. 39 Issue 1, p1-12. 12p. |
| Subjects: |
Reflectarray antennas, Intermodulation distortion, Varactors, Computational electromagnetics, Wireless communications, Simulation methods & models |
| Abstract: |
Reconfigurable reflectarray antenna (RRA) has been considered a potential technology for future communication. However, few studies focus on investigating the intermodulation distortion induced by its active devices, which are employed to provide different compensation phases for the RRA elements. In this paper, the radiation pattern prediction for third‐order intermodulation (IM3) distortion of the RRA with embedded varactor diodes is first proposed. It is implemented with a nonlinear model of the varactor and full‐wave electromagnetism (FEM) simulation. The presented varactor model is first employed to design the RRA and then to acquire the power and phase of the IM3 signal in each element of the RRA, which is realized with a nonlinear harmonic‐balance and FEM co‐simulation. With the help of the HFSS software, the radiation pattern is achieved when the co‐simulation results of the RRA elements are input. The IM3 radiation measurement of the RRA is presented to verify the radiation pattern prediction of the IM3 signal. The consistent comparison results between the simulation and the measurement indicate that the proposed method is accurate. Significantly, the radiation pattern of the IM3 signal is different from that of the fundamental signal based on the designed RRA. It is meaningful and implies that it may have linearization approaches for the RRA. The proposed method will enhance the application of the RRA since the linearization approach is still a scientific challenge in future wireless networks. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |