Nonlinear channel estimation using correlation properties of PN sequences
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Bibliographic record
Abstract
Nonlinear distortion of the radio-over-fiber (ROF) link and, multipath dispersion of the wireless link are the two major factors that limit the performance of a fiber based wireless system. This is especially true when the radio frequency is only a few GHz. The fact that both of these impairing factors are generally unknown, makes any equalization effort very difficult. In this paper, an algorithm that estimates both the nonlinear transfer function of the ROF link plus the impulse response of the wireless channel is described. Correlation properties of pseudonoise (PN) sequences are used for this estimation. This eases the implementation because, PN sequences are widely used in spread spectrum systems and their properties are well understood. An efficient, Vandermonde matrix approach is used to separate the Volterra kernels of the fiber-wireless channel which, eliminates the computation of higher order correlation functions.
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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 | 0.000 | 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 it