Reducing the probability of detection, improving jamming resistance and security for broadband wireless systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Commercial radio systems, including the broadband wireless communications systems based on OFDM technology such as those of the IEEE standard 802.16, are designed from the outset to operate in protected spectrum channels with low interference and noise. This paper outlines some techniques whereby the commercial radio signal waveform may be modified to reduce its probability of detection, the communication is made more robust to jamming, and the signalling and control information is protected against eavesdropping. The techniques applied include reduction of the spectral signature through changes in the data and pilot signals and the symbol timing. The modulation of the data and pilot/guard sub-carriers is also modified to disguise the signal characteristics. Protection techniques are also applied to the signalling information flows used to administer the radio operations and to prevent the identity of terminals from being revealed to hostile receivers. There are advantages to developing radio systems based on commercially derived systems that are also suitable for communications use in hostile environments. The use of commercially based systems provides the opportunity to lower costs for the military and public safety users through the economies of manufacturing scale that are applied to the commercial systems and terminals. The use of systems with a commercial base also facilitates interworking between the military/public-safety radio systems and commercial devices and networks. The modifications to the commercial waveform discussed in this paper have the advantage that they may be added as functional blocks to the standard chip-sets for processing the commercial waveforms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it