Two-Stage Blind Detection of Alamouti Based Minimum-Shift Keying
Bibliographic record
Abstract
In a recent study [7], the authors successfully incorporated minimum-shift keying (MSK) into an Alamouti-type space-time (ST) transmission system, operating in a fading channel environment. This work extends the investigation to include an enhanced receiver and a more realistic channel model that does not limit the fading to be constant over each ST block. The proposed receiver first detects an underlying differential ST π / 2 -shifted BPSK code present in the ST-MSK signal, by performing low-complexity non-coherent multiple-symbol differential detection with decision feedback. The relatively reliable initial data estimates are then used to obtain high-quality channel estimates, at a rate notably higher than the MSK symbol rate. The availability of these channel estimates enables a second-stage coherent sequence detector to significantly refine the initial data decisions. In fast fading, results show that the proposed receiver performance is within 2 dB of the coherent detection lower bound, at a bit-error-rate of 10-5. When compared to a linearly modulated ST π / 2 -shifted BPSK code, the proposed ST-MSK scheme achieves a greater order of diversity and hence better performance in a fast fading environment. We attribute this to the additional time-diversity effect associated with the phase coding evident in MSK.
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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 | 0.002 | 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".