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Inline Environment Truth Generation

Description:

 
 

TECHNOLOGY AREA(S): Battlespace, Information Systems

The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), which controls the export and import of defense-related material and services. Offerors must disclose any proposed use of foreign nationals, their country of origin, and what tasks each would accomplish in the statement of work in accordance with section 5.4.c.(8) of the solicitation.

OBJECTIVE: Develop an innovative, low-cost approach to facilitate the inline generation of environments likely to be encountered by missile defense sensors and weapon systems.

DESCRIPTION: Seek new and innovative approaches to perform inline environment generation for real-time Hardware-in-the-Loop (HWIL) testing and constructive digital simulations and eliminate the nee d for pre-generating environment data, to support Tier 1 and Tier 2 (two levels of end-to-end missile defense simulations) modeling and simulation (M&S). Currently, the government has a full suite of environment models for atmosphere, space, gravity, etc. but execution of these models can impair real-time digital simulation throughput within the M&S Enterprise. For some venues comparatively few test cases have environments “turned on” during simulation execution due in large part to the computation-intensive production of the environment data and its subsequent processing in system-level simulations. What is needed is a new, innovative process to perform inline, environment generation in system-level simulations without increasing total test case runtime by more than 10% (threshold)/5% (objective) without significantly reducing the fidelity of the system-level simulations. This innovative process should allow more test cases to be executed with environments “turned on”, thereby enhancing the realism of the simulations in the M&S Enterprise and allowing the production of greater quantities of credible decision quality data. The optimal solution could utilize a modular “plug and play” approach that would facilitate technology insertions (i.e., replacing one environment model with a comparable model) while requiring limited recoding and/or changes in hardware. Rather than seeking new environment models, the government is seeking ways to make better use of the existing environment models and/or environment data. Techniques to achieve this may include improvements in mathematical techniques; data processing hardware; software acceleration; a hybrid approach; optimization; or other techniques.

PHASE I: Design and develop a concept for inline environment truth generation by utilizing a model such as the SHARC/SAMM Atmosphere Generator in an unclassified missile defense simulation or any similarly complex non-missile defense simulation. The goal for Phase I is to demonstrate the proof-of-concept for the offeror’s approach while achieving at least the threshold performance and to specify the Phase II development plan that will deliver a prototype that incorporates additional environment models and/or environment data, and performance improvements.

PHASE II: Develop a prototype for inline environment truth generation by utilizing models such as SAMM, MODTRAN, PROPMOD, and WBMOD in an unclassified or possibly classified missile defense simulation. The goal for Phase II is to demonstrate that these models can be incorporated into the prototype without major rework or significant additional cost while achieving the objective performance.

PHASE III DUAL USE APPLICATIONS: Complete development of the inline environment truth generator. Add the remaining natural environment and manmade environment models needed by the government. Incorporate the inline environment truth generator into the extant missile defense simulations. The contractor should pursue commercialization of the various technologies developed in Phase II+ for other military and commercial users. Any users with simulations requiring the assessment of the influence of natural and manmade environments on system performance will be keenly interested in technology that allows them to use their existing environment models or easily insert alternative models while improving the throughput of their simulations. The commercialization prospects would increase greatly if the technologies developed also are applicable to models other than environment models.

REFERENCES:

  • Retrieved from http://www.kirtland.af.mil/library/factsheets/factsheet_print.asp?fsID=7920& page=1.
  • Retrieved from http://www.spectral.com/SAMMV3.shtml
  • Retrieved from https//www.deepdyve.com/lp/spie/modtran6-a-major-upgrade-of-the-modtran-radiative-transfer-code-tNO9nPB9k5
  • Retrieved from http://spawx.nwra.com/ionoscint/wbmod.html.
  • L. J. Nickisch and D. L. Knepp. June 2013. "The PROPMOD Subroutine: A Flexible Tool for Computing Propagation and TEC Parameters." Mission Research Corporation. MRC/MRY-R-113.
  • L. J. Nickisch and D. L. Knepp. May 2002. "The PROPMOD Subroutine: Propagation Parameters and a TEC Model." Mission Research Corporation. MRC/MRY-R-106.
  • L. J. Nickisch and D. Knepp. October 1999 (revised October 2001). "PROPMOD User's Guide and Test Suite: Computing Transionospheric Radio Propagation Parameters." Mission Research Corporation. MRC/MRY-R-082.
  • D. E. Knepp and L. J. Nickisch. August 1995. "PROPMOD-A Program for Computing Propagation Effects on Transionospheric Radio Signals." with Phillips Laboratory PL-TR-95-2120. Vol. 1 and 2. Mission Research Corporation. MRC/MRY-R-052.

KEYWORDS: simulation environments, software acceleration, hardware acceleration, optimization, SAG, SAMM, MODTRAN, PROPMOD, WBMOD

 

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