Equalizer complexity/performance trade-offs for high data-rate IR-UWB linear receivers in multipath channels
Bibliographic record
Abstract
We investigate bit rates above 500 Mb/s rate for impulse radio ultra-wideband (IR-UWB) communications. UWB channels exhibit rich multipath leading to intersymbol interference (ISI) at these bit rates. Previous investigations studied decision feedback equalizers (DFE) for moderate bit rates (100 Mb/s and lower).We examine the effectiveness of this solution when ISI is more severe, and compare performance and complexity to that of a Viterbi algorithm (VA) equalizer with a limited (suboptimal) number of states. We consider a complete UWB link composed of a pulse transmitter, antennas, true UWB multipath channel measurements, and a linear receiver. We examine equalizer memory requirements for reliable Gb/s IR-UWB transmission for line-of-sight (LOS) channels. Non-line-of-sight (NLOS) channels are also investigated, however at lower speeds. Bit error rate (BER) simulations show that equalization is effective to varying degrees. The trade-offs in complexity vs. performance of the VA versus the DFE are discussed.
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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 | 0.001 | 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 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".