Target Identification Technology

Abstract

(U) The Target Identification Technology thrust develops semiautomatic methods to identify targets from sensors operating in all spectral bands. Its objective is to detect, characterize, and identify military threats, and to assess the environment around them. Data sources include national, theater, and organic sensors. Exploiting the acoustic emissions of potential targets is of interest because acoustics has the advantage of not requiring an unobstructed line of sight between the emitter and sensor, and under certain circumstances sound may propagate great distances. Critical performance metrics are timeliness, accuracy, error rates, and interpretation workload. The thrust addresses the challenges of target identification, acquisition and tracking under restrictive rules of engagement. The technologies will apply advanced signal processing and machine vision to leverage advances in sensor capabilities. The concepts and technology developed in this program will continue in PE 0603767E, Project SEN-03. • The All-Source Target Characterization program developed a collection and measurement capability to characterize new targets as they emerge on the battlefield. This effort developed tools to permit rapid user interaction with imagery, sensor data, and processing results and provided real-time feedback to operators indicating key target features and other discriminates. This initiative also evaluated robust target cueing and identification over large classes of targets within a computational form factor appropriate for insertion into strike aircraft and unmanned aerial vehicles. The technology provides tools to process and disseminate target signatures to the field in usable formats for direct insertion into operational systems. • The Small Unmanned Aerial Vehicle Detection System (SUDS) program develops techniques to detect, track, and provide discrimination between friend and foe against small UAVs that are easily built, inexpensive, easy to operate, and offer the asymmetric adversary an ability to reach into U.S. defended locations causing potentially large amounts of damage. It includes antenna and signal processing techniques to passively detect small air targets using radar, video, acoustic, and radio-frequency sensors; to correlate those data with known objects (e.g., civilian aircraft); to analyze the motion of any uncorrelated data; and to rapidly task narrow-field-of-view sensors to collect more-detailed data. It will transition to the Services to meet both static force protection needs and tactical air defense operations.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2011
Source ID
f386be813210ca8d9fb01b29e38c9dab

Tags

Readers

  • Military Science and Technology Research and Modernization.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy
  • Autonomy - UAVs

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