OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Integrated Network Systems-of-Systems The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. OBJECTIVE: Develop a remote sensor capability that can identify and provide a wide range of targets and objects into the existing active sensors within the battlespace using multi-spectral passive sensing capabilities. DESCRIPTION: Currently real-time detection and targeting capabilities are limited to shipborne and controlled aircraft organic sensing equipment. The surface force can and does leverage additional capabilities from off-board and non-organic sources but often these commercial sources do not meet time critical needs. The Navy is seeking to add passive sensor capability that can identify and provide a wide range of targets and objects into the existing decision-making process. Developing and incorporating a multi-spectrum passive detection enhancement capability, integrated and fused with current surface navy sensors, will expand the current battlespace, contribute to a robust Common Operational Picture (COP), enhance decision maker situational awareness, and allow end users to operate in contested environments. In addition to addressing time critical needs, the addition of robust multi-spectral passive sensing will operate in all environmental conditions and account for atmospheric phenomena that can clutter traditional active sensors. The passive sensors shall account for environmental factors, weather interference and debris associated with military applications. The Navy seeks an innovative tracking software algorithm(s) that accurately and reliably provides data to be integrated into the battlespace from passive sensors. The solution shall not degrade current capability. A solution will not increase combat system processing time to achieve its primary objective. It will integrate with all elements of the Aegis Combat System (ACS). This includes track managers, weapons, and missile systems. The software will permit realistic testing of all threat types and configurations in a dynamic test environment designed for use in operational and testing environments. Track visualization will be delivered through existing ACS console Graphical User Interfaces (GUIs). It will support operator track management and decision-making. The solution will integrate with the AEGIS Test Bed (ATB) to facilitate system evaluation against more advanced and prolific threats. Integrated in-stride testing utilizing the ATB will facilitate a shortened certification timeline and ferret out deficiencies and software errors in the testbed, thus increasing product quality at delivery. The solution will provide an enhanced capability to address targets in all configurations and provide optimal engagement options to the sailor. This will increase mission capability and effectiveness against the latest threats. The modeling and simulation will optimize weapon system testing; thereby reducing test costs associated with fielding new ACS baselines. Work produced in Phase II may become classified. Note: The prospective contractor(s) must be U.S. owned and operated with no foreign influence as defined by 32 U.S.C. 2004.20 et seq., National Industrial Security Program Executive Agent and Operating Manual, unless acceptable mitigating procedures can and have been implemented and approved by the Defense Counterintelligence and Security Agency (DCSA) formerly Defense Security Service (DSS). The selected contractor must be able to acquire and maintain a secret level facility and Personnel Security Clearances. This will allow contractor personnel to perform on advanced phases of this project as set forth by DCSA and NAVSEA in order to gain access to classified information pertaining to the national defense of the United States and its allies; this will be an inherent requirement. The selected company will be required to safeguard classified material during the advanced phases of this contract IAW the National Industrial Security Program Operating Manual (NISPOM), which can be found at Title 32, Part 2004.20 of the Code of Federal Regulations. PHASE I: Develop a concept for Multi-Observer Multi-Spectral Passive Object Detection software algorithm(s) for instant and accurate reporting of objects of interest and threats. Demonstrate feasibility in meeting the requirements in the Description to support the test and operational environments. Feasibility will be established through analysis and modelling. The Phase I Option, if exercised, will include the initial design specifications and capabilities description to build a prototype in Phase II. PHASE II: Develop and deliver a prototype Multi-Observer Multi-Spectral Passive Object Detection software algorithm based on the results of Phase I. The application will be implemented in an existing Government-approved and provided modeling and simulation environment to validate performance. It will be evaluated by Government subject matter experts for validation. It is probable that the work under this effort will be classified under Phase II (see Description section for details). PHASE III DUAL USE APPLICATIONS: Support the Navy in transitioning the prototype passive sensors software applications to allow for further experimentation and refinement. The prototype passive sensors software application will be incorporated into the AEGIS baseline testing modernization process. This will consist of integration into a baseline definition, incorporation of the baselines existing and new threat capabilities, validation testing, and combat system certification. Passive sensors algorithms could aid air traffic controllers in monitoring potential collisions. REFERENCES: 1. Weng, Qihao Ph.D. An Introduction to Contemporary Remote Sensing, 1st Edition. McGraw-Hill Education LLC, ISBN: 9780071740111, 2012. https://www.google.com/search?q=Qihao+Weng%2C+Ph.D.+An+Introduction+to+Contemporary+Remote+Sensing%2C+1st+Edition#ip=1 2. Vergun, David. DOD in Search of Disruptive Technologies That Will Enable the Warfighter. DOD News, March 8, 2022. www.defense.gov/News/News-Stories/Article/Article/2959378/dod-in-search-of-disruptive-technologies-that-will-enable-the-warfighter/ 3. Olsen, Karl Erik and Asen, Walther. Bridging the gap between civilian and military passive radar. IEEE Aerospace and Electronic Systems Magazine, Volume 32, Issue 2, February 2017. https://www.researchgate.net/publication/316908487_Bridging_the_gap_between_civilian_and_military_passive_radar 4. Piskur, Pawel and Szymak, Piotr. Algorithms for passive detection of moving vessels in marine environment. Journal of Marine Engineering & Technology, Volume 16, Issue 4, 2017. https://www.tandfonline.com/doi/full/10.1080/20464177.2017.1398483 5. National Industrial Security Program Executive Agent and Operating Manual (NISP), 32 U.S.C. 2004.20 et seq. (1993). https://www.ecfr.gov/current/title-32/subtitle-B/chapter-XX/part-2004 KEYWORDS: Passive Sensors; Multi-Observer; Multi-Spectral; Software Algorithm; Track Managers; Off-Board
