Waveform-Space-Time Adaptive Processing for Distributed Aperture Radars

Abstract

This paper presents the preliminary development of adaptive signal processing for distributed, waveform diverse, antenna arrays. The long term goal is to develop practical waveform-timespace adaptive processing algorithms for distributed apertures. A crucial issue identified in previous works is that, in practice, the target and interfering sources are not in the far-field of the antenna array. Recent work by the authors develops the model required to generate simulated data. This paper extends this work, focusing on using the model to formulate adaptive signal processing algorithms specifically for waveform diverse distributed apertures.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA503665

Entities

People

  • Gerard Genello
  • Paul Antonik
  • Raviraj S Adve
  • Richard A. Schneible

Organizations

  • University of Toronto

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Airborne
  • Algorithms
  • Availability
  • Far Field
  • Filters
  • Frequency
  • Frequency Bands
  • Frequency Diversity
  • Matched Filters
  • Phase Shift
  • Signal Processing
  • Simulations
  • Steering
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Phased Array Antenna Design.

Technology Areas

  • Space
  • Space - Space Objects