Sporadic E Predictive Model
ID: SF233-0009Type: BOTH
Overview

Topic

Sporadic E Predictive Model

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2023

Additional Information

https://www.defensesbirsttr.mil/
Timeline
  1. 1
    Release Aug 23, 2023 12:00 AM
  2. 2
    Open Sep 20, 2023 12:00 AM
  3. 3
    Next Submission Due Oct 18, 2023 12:00 AM
  4. 4
    Close Oct 18, 2023 12:00 AM
Description

The Department of Defense (DoD) is seeking proposals for a Sporadic E Predictive Model as part of its SBIR 23.3 BAA. The objective of this project is to deliver a predictive model that allows users to forecast sporadic E statistics, such as the percent of the day with blanketing or sporadic E, as well as the expected peak frequency of sporadic E. The model should be data-assimilative and global, utilizing data sources such as ionograms, radio occultation measurements, high altitude wind measurements, and sporadic E seed population data. The project will be conducted in two phases, with Phase I focusing on demonstrating the feasibility of using existing data sources, and Phase II developing a data-assimilative forecast model. The model will be validated using existing data sources and compared to median climatology estimates. The proposed model has potential applications in government and private organizations that rely on accurate predictions of RF interactions with the space environment, including the US Space Force Space Systems Command, Air Combat Command, the US Navy, and other DoD and Title 50 organizations. The solicitation is currently closed, with a release date of August 23, 2023, an open date of September 20, 2023, and a close date of October 18, 2023. More information can be found on the DoD SBIR 23.3 BAA page on grants.gov.

Files
No associated files provided.
Similar Opportunities
DOD SBIR 24.4 Annual - Quantum Enhanced RF Components
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic of "Quantum Enhanced RF Components" as part of their SBIR 24.4 Annual solicitation. The objective of this research is to utilize quantum phenomenology to create sensitive Radio Frequency (RF) components that can enhance the performance of current communication systems. By lowering the noise levels of these components, weaker signals can be detected, potentially enabling the radar detection of previously unseen targets. The research will focus on developing quantum-based RF components such as amplifiers, mixers, and oscillators that can be integrated with existing systems. The project will be conducted in two phases. Phase I will involve delivering a series of reports outlining the feasibility of the RF component using mathematical models for quantum phenomena. Phase II will require the delivery of a working prototype and a report documenting the prototype's capabilities and any necessary control software. The potential applications of this technology include enhancing the efficacy of security systems that rely on RF detection, minimizing disruptions and identifying the source of RF interference in police and first responder communications systems, and improving communication and navigation capabilities in maritime and aviation vehicles. The project duration is not specified, but the solicitation is open until March 31, 2025. For more information and to submit proposals, interested parties can visit the DOD SBIR website.
DOD SBIR 24.4 Annual - AI/ML Augmented Antenna Systems for Contested Electromagnetic Environments
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic of "AI/ML Augmented Antenna Systems for Contested Electromagnetic Environments" as part of their SBIR 24.4 Annual solicitation. The objective of this topic is to demonstrate the utility of using artificial intelligence/machine learning (AI/ML)-driven spatial and spectral techniques to improve the resilience of fire control and tactical squad communication systems in contested electromagnetic environments. The Army is specifically looking for novel advancements in antennas with spatial and spectral degrees of freedom combined with AI/ML techniques to support RF system agility and resilience at tactically relevant SWaP-C (Size, Weight and Power-Cost). The project will be conducted in three phases: - Phase I: Conduct a proof-of-concept study to show feasibility of the technical approach to improve the resilience of RF subsystems. Metrics to be considered include communication and radar performance when AI/ML techniques are implemented in the antenna. Phase I performers will deliver a proposed system approach for detailed design and demonstration during Phase II. - Phase II: Develop a prototype digital antenna system that can demonstrate the advantages of the offeror's digital antenna technology in a laboratory environment. The system should show spatial and/or spectral interference mitigation in response to the electromagnetic environment. Phase II deliverables will include a comprehensive technical report and a commercialization/transition plan for Department of Defense (DoD) use. - Phase III: Complete the maturation of the technology developed in Phase II for transition into a fieldable Army mission capability. This phase will involve production of prototype systems to support further development and commercialization. The proposer will work with an Army prime or industry transition partner to fully develop, integrate, and test the design for integration onto the target transition system. The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR) or the Export Administration Regulation (EAR). Offerors must disclose any proposed use of foreign nationals and their country of origin. The solicitation is currently open, and the application due date is March 31, 2025. For more information and to submit a proposal, visit the DOD SBIR website.
DOD SBIR 24.4 Annual - Quantum Enhanced RF Components
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the topic of "Quantum Enhanced RF Components" in their SBIR 24.4 Annual solicitation. The objective of this research is to utilize quantum phenomenology to create sensitive Radio Frequency (RF) components that can enhance the performance of current communication systems. By lowering the noise levels of these components, weaker signals can be detected, potentially enabling the radar detection of previously unseen targets. The research will focus on developing quantum-based RF components such as amplifiers, mixers, and oscillators that can be integrated with existing systems. The project will be conducted in two phases. Phase I will involve delivering a series of reports outlining the feasibility of the RF component using mathematical models for quantum phenomena. Phase II will require the delivery of a working prototype and a report documenting the prototype's capabilities and any necessary control software. The potential applications of this technology include enhancing the efficacy of security systems that rely on RF detection, minimizing disruptions in police and first responder communications systems caused by RF interference, and improving communication between maritime and aviation vehicles. The project duration is not specified, but the solicitation is open until March 31, 2025. For more information and to submit proposals, interested parties can visit the DOD SBIR website.
DOD SBIR 24.4 Annual - Novel Positioning, Navigation, and Timing (PNT) Signal Classification Techniques
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for a novel positioning, navigation, and timing (PNT) signal classification techniques. The purpose of this solicitation is to develop the capability to classify signals in real-time that impact navigation systems. The goal is to better understand the type of signals experienced in relevant environments to apply appropriate mitigation techniques. The current navigation systems depend on radio frequency (RF) signals that can be influenced by various interference sources. The challenge is to quickly understand the signal characteristics to react and mitigate negative impacts. The proposed solution aims to build upon AI/Machine Learning (ML) algorithm technologies to perform PNT signal classification in real-time. The project will involve developing two antenna systems capable of detecting and classifying interference signals, collecting relevant signals for training the AI/ML solution, and demonstrating the ability to detect and identify signal types in a relevant environment. The project will have a Phase I and Phase II, with Phase II focusing on the development and demonstration of the antenna systems. The anticipated duration of the project is until March 31, 2025. For more information and to submit proposals, visit the DOD SBIR website.
DOD SBIR 24.4 Annual - Proliferated Warfighter Space Architecture (PWSA) Advanced Capability Development Open Topic
Active
Department of Defense
The Department of Defense (DOD) is seeking proposals for the Proliferated Warfighter Space Architecture (PWSA) Advanced Capability Development Open Topic. The Space Development Agency (SDA) is looking for novel architecture concepts, systems, technologies, and capabilities that enable leap-ahead improvements for future tranches of currently planned PWSA capability layers or address other emerging warfighter needs. The research areas include trusted AI and autonomy, advanced computing and software, integrated sensing and cyber, hypersonics, microelectronics, integrated network systems-of-systems, space technology, renewable energy generation and storage, advanced infrastructure, and advanced manufacturing. The solicitation is open for Phase II proposals only, and proposers must demonstrate the scientific and technical merit and feasibility of their projects. The research will be conducted in multiple themes, including integrating commercial sensing to the transport layer, developing optical inter-satellite link (OISL) technology and industrial base, cybersecurity, networking, in-space processing, increasing power for spacecraft bus, generic BMC3 hardware and middleware solutions, seamless multi-level security (MLS), and high-performance clocks for space. The Phase III applications of this research include providing low earth orbit communication systems and space-based processing for the distribution of overhead sensor data. The proposal submission deadline is March 31, 2025. For more information, visit the DOD SBIR 24.4 Annual solicitation notice on grants.gov or the SDA website.