Data-Fusion: Performance Enhancement Via Resolution Cell Processing.

Abstract

This report discusses the resolution cell grid topological connectedness as understood by a plurality of sensors. This is a data fusion obstacle ignored by previous multisensor fusion treatments. This connectedness, if properly considered, can provide enhanced resolution. The noncoherent case draws attention to the sort of processing necessary when multiplatform fusion is used. The problem is described and analyzed for both the static and dynamic cases. Since performance gains depend on the fusion rule used, pre-detection fusion rules are developed. 'Same-sensor' fusion makes use of the complementary features, detection, and resolution of long and short pulses. This teaming approach appears very promising. If different single sensor pulses are fused, then coherent processing is possible. A pair of different complementary pulses is transmitted abutted in the time domain and the returns optimally fused. Combined constant frequency and linearly frequency modulated pulses are treated, and order magnitude tracking error reduction over isolated single pulse performance is demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1995
Accession Number
ADA304817

Entities

People

  • Constantino Rago
  • Peter Willett

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Data Fusion
  • Detection
  • Detectors
  • Frequency
  • Information Processing
  • Multisensors
  • Time Domain

Fields of Study

  • Engineering

Readers

  • Operations Research
  • Optical Physics and Photonics.
  • Sensor Fusion and Tracking Systems.