Performance Analysis of a Jointly Optimal BPSK Receiver in Cochannel Interference
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Bibliographic record
Abstract
A jointly optimal detection scheme for a binary phase shift keying signal in the presence of a cochannel interferer and additive white Gaussian noise has been recently reported. The average error rate performance of this detection scheme was determined by extensive simulation. This paper develops an analytical solution for the average error rate performance of this jointly optimal detection scheme. An interesting characteristic of the solution is that it takes different analytical forms depending on the region of signal-to-interference ratio. These regions depend, in turn, on the phase difference between the desired signal and the interference signal. The analytical solution is exact and has excellent agreement with simulation results. These results show that this jointly optimal detection scheme can have good performance at both small and large values of signal-to-interference ratio.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it