Effects of frequency selective fading on performance of an adaptive antenna array
Bibliographic record
Abstract
Adaptive antenna arrays can combat multipath fading of a desired signal and suppress interfering signals, thereby increasing the performance, voice-quality and capacity of wireless systems. We investigated the effects of frequency selective fading on the performance of an 8-element circular adaptive antenna array. Without loss of generality, a line-of-sight (LOS) signal s(t), a multipath of LOS signal m(t), a co-channel interfering (CCI) signal c(t) and additive white Gaussian noise (AWGN) comprise the signal environment in our studies. Some of these signals may have different angles of arrival (AOA), time delays and different power levels, thereby causing different effects on the adaptive antenna array system. The LMS algorithm and discrete time direct sampling method are employed to carry out simulations on the BER performance of the adaptive antenna array system for several typical cases of interfering environments. Simulation results and related discussions are presented.
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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".