Tracking and diversity for a mobile communications base station array antenna
Bibliographic record
Abstract
A simulation model for analyzing the performance of antenna arrays in a mobile flat-fading environment is derived and applied to particular problems of tracking, combining and angle diversity. The model introduces angular coordinates that allows for the flexibility of utilizing directional co-channel interferers as well as providing the flexibility to test various array adaptation algorithms in a two dimensional mobile environment. The model is applied to a base-station 7 element half-wavelength spacing antenna array, operating at a carrier frequency of 815 MHz. The angle diversity performance is investigated by observing the bit error rate (BER) improvement for a /spl pi//4 DQPSK operating at 10 Kb/s. A tracking algorithm is demonstrated for maintaining the directional beam on the mobile for various vehicle trajectories and velocities up to 80 km/hr. The diversity and tracking algorithms performed well in the real environment as was predicted by simulation. Angle diversity provided a factor of 2 improvement in the BER, for a /spl pi//4 DQPSK signal at an Eb/No of 31 dB.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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".