A Software Defined Radio Receiver Architecture for UWB Communications and Positioning
Bibliographic record
Abstract
A software defined radio (SDR) receiver architecture is proposed in this paper for ultra-wideband (UWB) applications. Both UWB data communication and positioning functions are implemented in a single hardware platform and using suitable demodulation and positioning algorithms respectively. This architecture adopts a direct conversion radio frequency (RF) front-end based on multi(six)-port technology. The features of multi(six)-port technology provide the feasibility to realize both UWB functionalities without changing the hardware configuration. Furthermore it has several advantages such as object penetration, multi-path immunity and low probability of interception. In the proposed architecture, an impulse UWB signal is considered for BPSK data communication and positioning in an indoor environment. Data communication and positioning simulation results of the considered system have been obtained for an indoor environment. A proof-of-concept experiment has been realized on a test bench that includes a multi-port RF front-end fabricated using commercial components. The measurement and simulation results validate the proposed architecture and corresponding algorithm in a 1 GHz operating band
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".