Abstract
The full-wave Array Decomposition Method for regular antenna arrays with arbitrary elements using higher-order hierarchical basis functions is investigated. We show that the use of higher-order basis functions results in significantly reduced
memory consumption and computation time for a 10 × 10 element conical horn array with an aperture size of 22λ × 22λ, without the need for analytical nor numerical approximations. In addition, we demonstrate that by employing higher-order basis functions, the far-field error is considerably lower than by using common first-order basis functions for the same total number of unknowns.
memory consumption and computation time for a 10 × 10 element conical horn array with an aperture size of 22λ × 22λ, without the need for analytical nor numerical approximations. In addition, we demonstrate that by employing higher-order basis functions, the far-field error is considerably lower than by using common first-order basis functions for the same total number of unknowns.
| Original language | English |
|---|---|
| Journal | IEEE Antennas and Wireless Propagation Letters |
| Volume | 22 |
| Issue number | 1 |
| Pages (from-to) | 24-28 |
| ISSN | 1536-1225 |
| DOIs | |
| Publication status | Published - 2023 |
Keywords
- Finite arrays
- Higher-order basis functions
- Fullwave
- Block toeplitz
- Higher-order convergence