Sensing and Effecting

Understanding Phenomenology and Behaviors

Focuses on gaining a fundamental understanding of the physical and social phenomena and and their impact on relevant measurement tools, and provides the foundation for the effective exploitation of all manifestations of a particular object or activity.

  • Electromagnetic phenomenology
  • Optical & photonic phenomenology
  • Mechanical wave phenomenology
  • Weather phenomenology
  • Object interactions with environment


Focuses on the understanding of sensing capabilities and provides the foundation for the effective exploitation of all types of data and information. Researchers in this area maintain an understanding of the sensed phenomena, the effects of the environment on the phenomena, and the transfer functions of the transducers which produce the data. Research in this area does not focus on the actual transducers themselves. Resulting insights help define new or improved algorithms and transducers to provide the data. Work includes Advanced algorithms to improve signal to noise ratios for all sensing modalities.

  • Passive Electromagnetic Sensing
  • Radar Sensing
  • Mechanical Wave Sensing
  • Optical & Photonic Sensing
  • Weather and Environmental Sensing


Focuses on the understanding of transforming information into physical events. Research is this area provides insights into the nature and characteristics of related phenomenology, thereby helping design effectors that provide the desired physical effects – motion of a weapon or, electromagnetic influence on an adversary's system, or a desired piece of data to be injected into an adversary's information stream – based on the information provided to the effectors, under the specified, often extreme and austere conditions. The research also provides understanding of the nature and quality of the information that is needed to produce the desired effects.

  • EM effects
  • Social effects

Data and Information Representation & Management

Focused on developing efficient methodologies and techniques to effectively represent, store, and manage sensed data in local caches with minimal space, weight and power requirements; and methodologies for efficient management of information distributed over networks at non-contiguous locations. The goal of this effort is to develop methodologies which aid in the representation of data to the Soldier.

  • Data representation
  • Quality of Data

Last Update / Reviewed: February 5, 2015