Integrated Sensing and Processing in Missile Systems

Abstract

Advances in sensor technologies, computation devices, and algorithms have created enormous opportunities for significant performance improvements on the modern battlefield. Unfortunately, as information requirements grow, conventional network processing techniques require ever-increasing bandwidth between sensors and processors, as well as potentially exponentially complex methods for extracting information from the data. To raise the quality of data and classification results, minimize computation, power consumption, and cost, future systems will require that the sensing and computation be jointly engineered. ISP is a philosophy/methodology that eliminates the traditional separation between physical and algorithmic design. By leveraging our experience with numerous sensing modalities, processing techniques, and data reduction networks, we will develop ISP into an extensible and widely applicable paradigm. The improvements we intend to demonstrate here are applicable in a general sense; however, this program focused on distributed sensor networks and missile seeker systems.

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 2004
Accession Number
ADA429425

Entities

People

  • Harry A. Schmitt

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computational Complexity
  • Contracts
  • Detection
  • Detectors
  • Dimensionality Reduction
  • Image Processing
  • Information Science
  • Kalman Filters
  • Monte Carlo Method
  • Networks
  • Sensor Networks
  • Sequential Monte Carlo Methods
  • Signal Processing
  • Supervised Machine Learning
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Acoustical Oceanography.
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Systems Analysis and Design