Network C3I Technology

Will mature commercial interference mitigation concepts that operate with high power multifunction systems to increase the efficiency of Radio Frequency (RF) spectrum resources; design of multifunction scheduling interfaces to ensure compatibility with the commercial interference mitigation technology.

Will design detection, classification, direction finding, and multi-channel adaptive beamforming techniques for peer/near-peer adversary military RF signals; conduct experiments to validate technique performance metrics to quantify algorithm robustness against various RF environments and scenarios.

Will investigate and design data generation and labeling tools to produce diverse training data, including directionality and different electromagnetic environments; develop RFML approaches to detect, characterize and catalogue previously unobserved signals of interest in real time in contested radio frequency environments.

Will develop radar techniques and processing for automated, intelligent moving target indication; conduct experiments to validate technique performance against benchmarks in a laboratory environment.

Will design and develop emerging signal processing software components to feed signal collection architecture; leverage diverse training data for emerging high priority peer/near-peer adversary military signals; develop machine language models for generating signal detectors for unknown signals of interest; investigate novel RF hardware…

Will develop artificial intelligence and machine learning (AI/ML) methods to exploit multi-modal data from ground and aerial platforms for object detection and scene understanding in all-source use cases; exploit in?situ environmental intelligence using Battlefield Energy for Autonomous Vehicle Expedition and Recharge (BEAVER) that fuses…

Will design and develop AI/ML models, agents, and tools to reimagine Intelligence processes and workflows to provide situational understanding; investigate AI infrastructure to support augmented analysis and threat model visualization; use AI modeling to conduct experiments for integrating in existing workflows or invent new workflows to…

Will investigate and develop capabilities that will enable sensor agnostic geospatial data analysis.

Will validate and refine environmental algorithms and modeling frameworks to enhance decision-making across multiple domains. Key efforts include improving algorithms, refining model framework, and validating iterative machine learning models.

Will mature environmentally survivable advanced 3D collection methods.

Will assess performance limits of micro-electromechanical systems (MEMS) inertial sensors with novel self-calibration and tuning methods based on integrated novel piezoelectric materials; investigate new high-quality-factor structural materials for next-generation inertial sensors; validate inertial measurement unit (IMU) system-level…

Will investigate optimized algorithms and architecture for modular positioning, navigation, and timing (PNT) sensor fusion state estimation; down-select self-stabilization circuitry architecture for frequency stabilization of micro-resonator optical frequency combs; assess integration techniques for micro-resonator optical frequency…

Will continue to develop optical technologies for chip-scale holdover clocks by investigating and integrating a micro optical frequency comb with stability locking circuitry; integrate epsilon-near-zero resonator and assess locking stability potential; assess multi-modal architecture and fusion algorithms for precision PNT towards the…

Will mature methods for multi-view sensor geometries.

FY2027 planned work Will continue to evaluate current adversarial threats and design and develop microelectronics-based Anti-Tamper tools, devices and techniques to protect acquisition program systems' (CPI) from adversarial reverse engineering/exploitation threats due to battlefield loss and foreign sale. Loss of CPI will impact the ability of these systems to maintain U.S. overmatch capabilities. Such tools, devices and techniques are not readily available for use by U.S. Army and DoW programs to use in their systems.

FY2026 to FY2027 change Funding increase reflects economic adjustment.

FY2026 plans — current year Will continue design and development of Anti-Tamper technologies to thwart adversarial reverse engineering techniques that endanger effectiveness of systems employed by U.S. warfighters; technologies being developed will be validated for further maturation.

FY2025 accomplishments Will develop advanced microelectronics-based security solutions for anti-tamper application to address emerging adversarial threats. Will evaluate new anti-tamper technologies for integration in Army and DoD systems to protect critical technology with improved resilience to exploitation.

FY2026 to FY2027 change In Fiscal Year (FY) 2027 this effort is restructured to PE 0602146A / Network C3I Technology / AN9 / UNT - Every Receiver is a Sensor Technology.

FY2026 plans — current year Will investigate sensor performance models capable of predicting sensor performance in realistic environments. Will conduct laboratory experiments to mature and validate messaging protocols suitable for use over tactical networks.

FY2027 planned work Will mature capabilities for critical geospatial services that enable geospatial engineering tasks across the tactical network.

FY2026 to FY2027 change Increase is to develop additional geospatial services for higher data volumes on the geospatial network. Additionally, efforts from PE 0603042A (C3I Advanced Technology) / Project AT7 (Network-Enabled GeoSpatial-GEOINT Services Tech) and Project AT9 (Tactical GeoSpatial Information Capabilities Tech) were consolidated to combine geospatial engineering capabilities across Army networks. This will generate efficiencies and enable flexibility as mission needs change.

Will investigate how a cross-reality (XR) common operating picture (COP) can be used to enhance shared situational understanding within and across echelons and devices through adaptive visualization and interaction techniques; develop information mediation methods that enable intelligent interoperability with other immersive and…

Will develop an NTC data pipeline that includes dataset preparation and data extraction software encoding; use Geospatial Data Integration Server (GDIS) to store geographically-synchronized data for planning and visualization tools; investigate optimization techniques, such as hyperparameter and neural-architecture search to determine…

Will develop methods to fuse latent spaces from foundation models corresponding to different modalities (visual-language, audio, and haptic), generate unified multimodal latent space for reasoning about the battlefield; investigate solutions to train and fine-tune foundation models to store knowledge and support advanced reasoning…

Will investigate the use of Quickest Change Detection (QCD) algorithms with uncertain models to detect events via changes in multi-modal information; study and develop information fusion algorithms for QCD with uncertain models over a network of distributed agents across echelons; investigate multi-sensor QCD for detecting complex events…

Will develop secure reinforcement learning agents for Command and Control (C2) resilient to adversarial attacks; investigate multi-agent reinforcement learning, graph and game theoretic approaches using a network of distributed agents to perform C2 operations across echelons; research methods to characterize and leverage the scientific…

FY2025 accomplishments Will develop orchestration software to dynamically manage RF emissions with emphasis on proof of concept of command and control and incorporating feedback from vendor commercial off the shelf hardware; demonstrate minimum viable product over the air.

FY2026 to FY2027 change Funding decrease reflects planned conclusion of this effort.

FY2026 plans — current year Will mature Rydberg, Josephson Junction and other superconducting receivers and determine suitable Army applications for technology; investigate cryogenic superconducting system to negate magnetic interference from Army platforms; investigate existing integrated quantum interference devices and combine with cryogenically rated designs to mature solutions for electromagnetic interference.

FY2025 accomplishments Will develop improved modeling and simulation of Josephson Junction and Rydberg receiver quantum sensor technologies with increased fidelity, additional capabilities, and/or increased model scope. Will investigate non-traditional system configurations such as hybrid sensors and external accessories to enhance capability for targeted applications. Will conduct experiments to characterize performance limitations of quantum sensors and their auxiliary components including response to environmental conditions. Will mature classical auxiliary components as necessary to achieve the receiver sensitivity and spectrum agility of quantum sensors.

FY2026 to FY2027 change Funding decrease reflects the strategic reallocation of resources to support evolving priorities and objectives.

FY2026 plans — current year Will develop algorithms for on-the-move (OTM) tracking capability and, reacquisition/node discovery. Will investigate modeling and simulation tec hniques to assess Free Space Optics (FSO) FSO system performance in various atmospheric and propagation conditions. Will conduct experiments on interfacing the FSO system with other radio frequency (RF) signals to provide a transport agnostic mechanism for high throughput communications. Will develop multiple-aperture FSO system for 360-degree coverage and multipoint communication capability. Will conduct proof of concept experimentation to validate the feasibility and assess the maturity of high throughput wireless access point technologies such…

FY2025 accomplishments Will conduct an analysis of alternatives to investigate Free Space Optics (FSO) capabilities when mounted on a mobile platform. Will determine the capabilities and limitations for FSO systems to perform 360-degree sector scanning to track well and maintain connectivity while a vehicular platform is on-the-move. Will conduct experiments to assess the capabilities of the FSO system on frequency transport legacy communication radios, enable multipoint operations and fail over with a primary, alternate, contingency and emergency (PACE) communication plan.

FY2026 to FY2027 change Funding decrease reflects the strategic reallocation of resources to support evolving priorities and objectives.

FY2026 plans — current year Will investigate multiband antenna design for operation across multiple frequency bands to allow for support for multiple simultaneous radios. Will investigate time half duplex time division duplexing for tactical waveform compatibility to enable increase of the number of Army radios that can utilize software defined antenna.

FY2026 to FY2027 change Funding decrease reflects the strategic reallocation of resources to support evolving priorities and objectives.

FY2026 plans — current year Will develop additional resiliency and redundancy by leveraging multiple simultaneous military and commercial satellite constellations. Will investigate virtualization of waveforms leveraging emerging technologies such as Digital Intermediate Frequency Interoperability (DIFI).

FY2025 accomplishments Will investigate virtualization/containerization of waveforms and use of a 3U Virtual Path Cross-Connect (VPX) carrier card for Application Specific Integrated circuit (ASIC)-based waveforms; investigate path to Digital-IF (DIFI) for analog-based waveforms; mature management and control system technology as applicable to satellite communications waveforms.