Impact of the correlation between forward and backscatter channels on RFID system performance
Bibliographic record
Abstract
The channel of radio frequency identification (RFID) can be modeled as a cascaded channel consisting of a forward link and a backscatter link. The correlation between the forward and backscatter links strongly affects the bit-error-rate (BER) performance of RFID systems. In this paper, we analytically study how the link correlation affects the BER performance of a single-input, multiple-output (SIMO) RFID system. We de rive exact forms and asymptotic forms of the BER for SIMO RFID systems with maximal ratio combining (MRC) at the reader side. The asymptotic forms provides an insight into the relationship between the link correlation and the BER perfor mance. It is shown that the BER is an increasing function of the magnitude of link correlation in the high SNR regime and is proportional to (1 + ρ2)L/(1 - ρ2)L in the extremely high SNR regime for an L branch channel.
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".