Phase-Shifter-Free Reconfigurable Array Architecture Using Pattern Rotation---Part I: Theory and Validation
Bibliographic record
Abstract
A unified reconfigurable array architecture is proposed, supporting two-phase modulation mechanisms: element rotation and initial phase modulation. Both approaches enable subarray-level beam steering without needing phase shifters or complex feeding networks, facilitating large-scale array beam scanning with fewer radio frequency channels. An innovative beamforming method is introduced in Part I, leveraging element rotation within an Ns-element (6-element) linear subarray. Vertical partition scanning within ±θmax(±10°) is achieved by presetting the tilt angles of the elements in the Ns-element subarray (6-element). A longer linear array of Ny-elements formed by Ms-subarrays is formed (Ny=Ms×Ns). A high-profile Nx×Nyarray (8×24) of Yagi elements achieves two-dimensional beam scanning at 4.5 GHz with a grating lobe suppression algorithm. To generalize this approach, a theoretical framework is established that incorporates concepts such as phase smoothing region, deflection phase, intrinsic phase, and initial phase modulation, ultimately extending the rotation-based method into a universal initial phase control scheme. Simulation and measurement results confirm that replacing conventional small-ratio power dividers with 1-to-Nsequal-dividers preserves low sidelobe levels in vertical scanning, maintains original horizontal scanning performance, and achieves channel capacity parity with full-channel systems. Part II will further validate the approach by designing and implementing a dual-polarized base station antenna element with electronically tunable initial phase control.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".