NCFSK error performance on slow fading channels in the presence of unsynchronized interferers
Bibliographic record
Abstract
An expression for the bit error rate (BER) of noncoherent frequency shift keying (NCFSK) modulation with a non-faded desired signal and a single Rayleigh-faded unsynchronized co-channel interferer (UCCI) is derived. This is used to obtain the BER, P/sub f/, for a Rayleigh-faded desired signal. It is found that P/sub f/ is not sensitive to the number, n/sub I/ of UCCI's. It is shown that the BER with UCCI is smaller than that with synchronized co-channel interference (SCCI). For a Rayleigh-faded desired signal, the difference is about 0.8 dB for large signal-to-interference ratios (SIR). Simulation is used to obtain the block error rate (BKER) with UCCI as a function of n/sub I/, number of errors corrected and Doppler frequency. It is found that the BKER with no error correction increases with n/sub I/. The BKER with UCCI is generally smaller than that with SCCI. With error correction, the improvement in BKER tends to be larger as n/sub I/ increases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".