Nonlinear Array Processing

Abstract

This report describes a theoretical and experimental study of a nonlinear array processing framework for sparse arrays that is based on using the differencecoarray as a virtual uniform (Nyquist) array. The framework offers the potential to significantly increase the available degrees of freedom of a sparse array and therefore can lead to improved spatial source estimation and/or mitigation. The study examines the feasibility of incorporating such an approach as well as the underlying algorithms capable of exploiting such gains within a conventional monostatic radar system. Validation of the presented concepts is conducted through a 12 channel 3.4 GHz experimental testbed.

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Document Details

Document Type
Technical Report
Publication Date
Apr 06, 2022
Accession Number
AD1168563

Entities

People

  • Dan P. Scholnik
  • Hatim F. Alqadah
  • Jean De Graaf

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Algorithms
  • Calculus
  • Compressed Sensing
  • Digital Signal Processing
  • Direction Finding
  • Doppler Effect
  • Frequency Synthesizers
  • Fresnel Zones
  • Geometry
  • High Resolution
  • Information Theory
  • Jammers
  • Order Statistics
  • Radar
  • Radio Frequency Cables
  • Random Variables
  • Signal Generators
  • Signal Processing
  • Statistical Analysis
  • Two Dimensional
  • Waveform Generators
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Phased Array Antenna Design.