A Novel Transmission Scanner Framework for Real-Time Applications

Abstract

The strong need for a robust and real-time transmission classification can be found both in civil and non-civil applications. In this paper, we propose a new technique based on modern and low-complexity object detection approaches. The transmission scanner uses a combination of Haar-like and technical features to detect and classify different, co-occurring narrowband transmissions within wideband signals. The transmission scanner is evaluated with recorded real world data in order to fulfill real conditions. The evaluation shows that this system performs very well with 99.5% accuracy.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2010
Accession Number
ADA584153

Entities

People

  • Dirk Kolb
  • Elmar Noeth
  • Ulla Uebler

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Bandwidth
  • Classification
  • Communications Intelligence
  • Computer Science
  • Detection
  • Feature Extraction
  • Frequency
  • Frequency Bands
  • Machine Learning
  • Modulation
  • Narrowband
  • Pattern Recognition
  • Sampling
  • Signal Detection
  • Software Defined Radio
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design