Design and implementation of a new architecture of a real‐time reconfigurable digital modulator on FPGA
Bibliographic record
Abstract
One of the prerequisites of electronic warfare (EW) is to have the means to provide secure point‐to‐point wireless data and voice communications with other ground stations. New technologies are giving rise to bigger information security threats. This situation illustrates the best the urgency of reducing the development time of EW systems. Previous works suggest that digital systems are the best candidates for this purpose and therefore form the backbone of modern EW. As a result, digital modulation techniques are widely used in modern wireless communication systems. This is largely due to their high resistance to noise and their high transmission capacity that can be achieved through data multiplexing. In this Letter, a new reconfigurable architecture of a phase shift keying (PSK) modulator is described and implemented on FPGA. The latter can be configured in real time to produce the following modulation schemes: QPSK, 8‐PSK, and 16‐PSK without having to regenerate the FPGA configuration bits. This action can be done by software via programming or manually using a DIP switch. The proposed design is implemented on the Xilinx xc7k325tfbg900 FPGA using the Genesis 2 development board. The experimental results are in agreement with the simulations.
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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) | 0.000 | 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) | 0.003 | 0.001 |
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".