Multipath propagation models for near line-of-sight conditions
Bibliographic record
Abstract
This thesis analyzes the behaviour of a multipath channel for suburban and semi-rural areas in which line of sight (LOS) or near LOS exists between the transmitter and receiver. The objective is to characterize the broadband channel for such areas. The thesis is divided into five major parts: a background and literature survey, a theoretical analysis, experimental measurements which validate the analysis, applications to practical communication channels and a study of the effects of such a channel on typical signal waveforms. \n \nThe amplitudes and delay spread of a multipath model for such an environment are studied, based on a theoretical analysis of scattering from finite flat surfaces which model building walls. A broadband channel model is proposed based on the analysis. The next part of the thesis presents experimental measurements on multipath communication channels in suburban and semi-rural areas, which have LOS or near LOS propagation. The results validate the theoretical analysis. It is found that the channel is either good or very bad. The latter usually occurs close to buildings where a single dominant reflection with a relative delay of less than a microsecond produces a periodic severe fading and distortion of the signal, often making a link unusable. The area for which the channel is bad depends on the size of the building. \n \nThe thesis then considers applications of the broadband channel model and studies the effects of the proposed channel model on typical communication waveforms such as QPSK, direct sequence spread spectrum and OFDM. For the QPSK waveform, the effects of a single dominant reflection on the timing and carrier recovery of a coherent demodulator are studied. A methodology is also outlined for determining which locations in a defined area will show the behaviour associated with a bad channel.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".