Impact of bandwidth on antenna‐array noise matching
Bibliographic record
Abstract
Abstract This letter expands the treatments of wideband noise analysis of antenna arrays by including bandwidth effects on beam‐equivalent receiver noise temperature, , and the active reflection coefficient, . The particular focus of the letter is on receiver noise decorrelation in wideband systems having noise bandwidth 1 Hz. The new analysis and simulations show increase in and the departure of from that obtained using contemporary analyses for 1 Hz. Although the paper also shows that for many applications over moderate bandwidths and close connection between the receiver and array the influence of on is not significant, the simulations of a 71‐element array demonstrate that the noise decorrelation due to wide can result in tens of percent (as much as 45.5% in simulations described in this letter) increase in above the low‐noise amplifier minimum noise temperature, which should be taken into account at the design stage of ultra‐wide band systems, such as those under investigation by, for example, the Defense Advanced Research Project Agency (DARPA) in its wideband adaptive RF protection (WARP) program and ultra‐sensitive active electronically scanned array (AESA) radars for tracking stealth objects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".