A Non-Destructive Evaluation Application Using Software Defined Radios and Bandwidth Expansion

Abstract

The development of low-complexity, lightweight and low-cost Non-Destructive Evaluation (NDE) equipment for microwave device testing is desirable from a maintenance efficiency and operational availability perspective. Current NDE equipment tends to be custom-designed, cumbersome and expensive. Software Defined Radio (SDR) technology, and a bandwidth expansion technique that exploits a priori transmit signal knowledge and auto-correlation to effect received signal reconstruction provides a potential solution. This research investigated the reconstruction of simultaneous SDR receiver instantaneous bandwidth (sub-band) collections. The adjacent sub-bands collectively spanned a transmit signal bandwidth. Research culminated in a 100 MHz bandwidth uniform white noise transmit signal reconstruction. The transmit signal provided near true-noise characteristics (2^{36} - 1 non-repeatable sequences). The reconstructed bandwidth exceeded a single B205 SDR receiver instantaneous bandwidth and provided accurate symbol recovery for the inherent SDR Energy per Symbol to Noise Power Spectral Density.

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Document Details

Document Type
Technical Report
Publication Date
Mar 19, 2020
Accession Number
AD1104214

Entities

People

  • Nicholas J. O'brien

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Communication Systems
  • Correlation Techniques
  • Department Of Defense
  • Electrical Engineering
  • Field Programmable Gate Arrays
  • Frequency Shift
  • Global Positioning Systems
  • Modulation
  • Radio Equipment
  • Radio Frequency
  • Signal Generation
  • Signal Generators
  • Signal Processing
  • Software Defined Radio
  • Test And Evaluation
  • United States Government

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Radio communications and signal processing.