Iterative joint detection and decoding for MA communications using decision feedback

Rachel E. Learned, Andrew C. Singer

Research output: Contribution to journalConference articlepeer-review

Abstract

Current multiple access communications technology must overcome several key contributors to multi-user interference (MUI) before a fully digital battlefield can be realized. One of the common conditions causing high MUI is the so-called near-far scenario due to interfering transmissions from different users of vastly differing received powers. In current commercial and military systems, MUI is dealt with by choosing user transmission waveforms that are nearly orthogonal (e.g. generous spacing in frequency in an FDMA system) and, often, adaptively controlling transmit powers through receiver control messages back to the users. In times of increased demand, these remedies waste scarce bandwidth that could otherwise be used for information transmission. Additionally, oversaturation, a new idea for increasing channel throughput in which interference is deliberate and heavy, has been made possible by the advent of low complexity joint detection. This paper addresses the ability of a communication system to handle transmissions from different sources during times of increased communication through the development of a low complexity joint detection/decoding algorithm designed to accommodate scenarios of high MUI. The proposed detector carefully integrates decision feedback and error correction decoding in three low complexity stages. The first stage performs user-recursive symbol detection and stripping and the second and third stages perform symbol refinement. Unique to this procedure is the advantageous use of power-ordering and interference-equalization. This scheme results in a consistent and significant performance gain relative to the other low complexity decoding/detection procedures proposed in recent literature. Empirical analysis for various realistic MUI conditions via simulation confirms performance predictions.

Original languageEnglish (US)
Pages (from-to)154-161
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3393
DOIs
StatePublished - Dec 1 1998
Externally publishedYes
EventDigitization of the Battlespace III - Orlando, FL, United States
Duration: Apr 15 1998Apr 17 1998

Keywords

  • Co-channel interference
  • Error correction
  • Interference suppression
  • Joint detection
  • Multi-user detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Iterative joint detection and decoding for MA communications using decision feedback'. Together they form a unique fingerprint.

Cite this