Bit error rate analysis of hybrid selection/maximal-ratio diversity combining with channel estimation error
Bibliographic record
Abstract
Hybrid selection/maximal-ratio combining (H-S/MRC) diversity is a very important diversity combining technique in wideband systems. It can be employed to reduce the complexity of RAKE receivers, which are needed to achieve acceptable performance on frequency selective fading channels. A method for calculating the bit error rate (BER) of H-S/MRC diversity systems with channel estimation error is introduced. It is applied to derive BER expressions for binary shift keying (BPSK), quadrature shift keying (QPSK) and M-ary quadrature amplitude modulation (M-QAM). Results for selection combining (SC) and MRC are also obtained as two special cases. The effects of the estimation errors on the system performances are studied in detail. The sensitivities of different modulation schemes to channel estimation errors are examined.
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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 | 0.001 |
| 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".