A Novel Retro-directive Phased Array Antenna Architecture
Bibliographic record
Abstract
Mobile wireless communication scenarios can range from a simple indoor WiFi link to a satellite internet connection to an airplane. Virtually in all scenarios, dynamic changes in the propagation environment or the movement of transmitter and receiver are inevitable. Therefore, the wireless link often experiences quality degradation or even interruption. \nAdaptive antenna arrays offer a promising solution to combat wireless channel impairments as they adaptively reshape their radiation pattern. For two-way communication, an antenna should be retro-directive meaning its transmit and receive beams are aligned. To achieve retro-directivity, techniques based on direction-of-arrival and self-phasing can be \nused. The former usually calls for a complex calibration routine to estimate the direction of arrival and beamsteering; the latter relies on the received signal to generate the transmit beam, imposing several limitations on its adaptability. \nIn this thesis, a novel retro-directive phased array architecture is proposed that does not require calibration and which generates its transmit wave independently of its receive wave. Moreover, its radiation pattern can be adaptively shaped by a simple beamforming algorithm, while its transmitted and received beams remain aligned. Structurally, it is \ncomprised of independent modules that can be placed in virtually any arrangement without any hardware modification. \nThe architecture uses the LO phase-shifting technique to steer its beams. The LO signals are generated with a novel frequency synthesizer; it creates a pair of LO signals for the transmission and reception paths to achieve retro-directivity. The proposed antenna architecture is demonstrated practically using a 10-element prototype, verifying its ability \nto steer the transmit and receive beams while keeping them aligned. In addition, two of the key circuit components of the LO synthesizer, a fractional frequency divider and a novel phase-conjugating phase shifter, are designed and successfully implemented on 65nm CMOS technology, paving the path for use in future applications.
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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 | 0.000 |
| 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 | 0.000 |
| 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 | 0.003 |
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".