An Accurate and Compact Rayleigh and Rician Fading Channel Simulator
Bibliographic record
Abstract
A stochastic sum-of-sinusoids based simulation model is proposed for Rayleigh and Rician fading channels. The time-averaged statistical properties of the new model have been significantly improved compared to existing models. Verification of the proposed fading simulator is carried out by comparing its measured statistical properties with the properties of the ideal reference models. The simulator utilizes a time-overlapped implementation strategy to provide a compact design suitable for multiple antenna simulators. An implementation of the resulting Rician fading simulator on a Xilinx Virtex-II Pro XC2VP100- 6 FPGA uses only 2% of the configurable slices, 1% of the dedicated multipliers, and 2% of the on-chip block memories while generating 201 million 2 times 16-bit complex-valued fading samples per second. The scalable design of the fading channel simulator enables a straightforward implementation of multiple antenna channels and different diversity schemes.
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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 | 0.000 | 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".