Analysis of different GNSS array processing methods utilizing new experimental approach using a Spirent simulator and single frontend receiver
Bibliographic record
Abstract
Performing array processing on the Global Navigation Satellite Systems (GNSS) signals in a controlled environment requires costly hardware that most researchers cannot afford. This paper introduces a new experimental approach that substantially reduces that cost. It makes possible the emulation of raw digitized in-phase (I) and quadrature phase (Q) samples of GNSS signals, received by an array of Global Positioning System (GPS) antennas. The proposed technique enables simulating linear, planar and three dimensional (3D) array geometries for any satellite positioning system. In this study, only one Spirent GSS6700 GNSS simulator is used along with a single Novatel Firehose frontend. They are both designed for single antenna systems and are used in this research to simulate a seven element uniform linear array (ULA) and a seven element uniform circular array (UCA). Multiple signal classification (MUSIC), Minimum Variance Distortionless Response (MVDR) and classical beamforming are applied for direction of arrival (DoA) estimation, utilizing both ULA and UCA array structures, in order to verify the proposed experimental approach.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".