An Approach towards Future Commercial Space Communications and Navigation
Bibliographic record
Abstract
The Lockheed Martin Space Systems Company (LMSSC) perspective on “Commercial Space Communications and Navigation (CSC&N)” is varied and commercial space business could be possible, but would require unique business cases that need certain barriers removed and enablers added to optimize the CSC&N architecture and maximize the commercial business model. Commercial business ventures usually have multiple customers to serve and/or provide products to sell. A CSC&N system really has one customer today, NASA, with possibilities of other customers within the U.S. Government, International community, and commercial space travel. To enhance these other customer avenues, certain CSC&N architectures might be developed that would not be optimal for NASA, but can be beneficial to multiple customers. A variety of architectures and business models can be investigated to focus on optimizing the commercial potential of CSC&N, rather than focusing on optimizing NASA’s requirements for Deep Space C&N. This section will discuss a subset of these other architectures in relation to certain business models that can be used to commercialize all or parts of the NASA C&N system. The basic premise from Lockheed Martin’s point of view is to look at architectures that can be commercialized for Space Communications and Navigation. To do this we must minimize the technical complexity of the terminals that will use the CSC&N system. By minimizing the size, weight and power requirements for these terminals, we can maximize the science payload capability and human space flight reliability, as well as provide internet capability to the commercial space travel industry. In creating a “standard” set of terminals, we can keep costs for new missions to the moon and moon surface sortie missions, focused on the NASA science missions, provide high-speed communications to commercial space travel, and not on generating new one-of-a-kind communication and navigation terminals for each mission..
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.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".