Channel Measurement Decoding for Troposcatter Communications.

Abstract

The object of this program is to theoretically investigate and experimentally verify the performance improvement possible by the use of channel-measurement (soft-decision) information when decoding an interleaved (24,12) Golay code. The experimental results obtained during this effort indicate that under certain conditions, such as pulse jamming, significant gains can be achieved by the use of channel measurement decoding. For typical multipath profiles, coding gains in the 5 to 10 dB range have been achieved by fairly simple binary decoding techniques. Unfortunately, the predicted theoretical gains due to the use of channel measurement decoding have not been achieved by the experimental results. While channel measurement decoding did offer a 3-dB gain over binary decoding for flat fading, this gain is well below the theoretical prediction of 7.2 dB. The discrepancy between the theoretical and experimental results is still an open question, which may be resolved by future work in this area. Nevertheless, in the presence of pulse jamming, channel measurement decoding doubled the effective pulse duration that can be handled by the Golay code. This result is in agreement with theory and a strong indication of the importance of optimum decoding techniques in an ECCM environment. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1981
Accession Number
ADA097620

Entities

People

  • David Chase

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Attenuators
  • Data Rate
  • Demodulators
  • Electronic Jamming
  • Frequency
  • Gaussian Noise
  • Information Theory
  • Markov Chains
  • Measurement
  • Modulation
  • Plastic Explosives
  • Power Supplies
  • Random Variables
  • Simulators
  • Test And Evaluation
  • Verification Tests

Fields of Study

  • Engineering

Readers

  • Computer Programming and Software Development.
  • Radio communications and signal processing.
  • Spectroscopy.