An FPGA-based signal processing system for a 77 GHz MEMS tri-mode automotive radar
Bibliographic record
Abstract
An FPGA implemented signal processing algorithm to determine the range and velocity of targets using a MEMS based tri-mode 77 GHz FMCW automotive radar has been presented. In the developed system, A Xilinx Virtex 5 FPGA based signal processing and control algorithm dynamically reconfigures a MEMS based FMCW radar to provide a short-range, mid-range, and long range coverage using the same hardware. The MEMS radar incorporates two MEMS SP3T RF switches, two microfabricated Rotman lenses, and two reconfigurable microstrip antenna arrays embedded with MEMS SPST switches in addition to other microelectronic components. By sequencing the FMCW signal through the 3 beamport of the Rotman lens, the radar beam can be steered ±4 degrees in a combined cycle time of 62 ms for all the 3 modes. A worst case range accuracy of ±0.21m and velocity accuracy of ±0.83 m/s has been achieved which is better than the state-of-the art Bosch LRR3 radar sensor.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".