Generalized selection combining based on the log-likelihood ratio

Sang Wu Kim, Young Gil Kim, Marvin K. Simon

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

We propose a generalized selection combining (GSC) scheme for binary signaling in which M diversity branches providing the largest magnitude of log-likelihood ratio (LLR) are selected and combined. The bit error probability provided by LLR-based GSC serves as a lower bound on the bit error probability provided by any GSC techniques. We also propose a suboptimal GSC based on a noncoherent envelope detection. We derive the bit error probability with LLR-based and envelope-based GSC techniques and examine their power gains over the conventional SNR-based GSC technique. We show that the bit error probability with maximum ratio combining or square-law combining of L branches is identical to that with LLR-based GSC of L/2 branches.

Original languageEnglish
Pages (from-to)2789-2794
Number of pages6
JournalConference Record - International Conference on Communications
Volume4
StatePublished - 2003
Event2003 International Conference on Communications (ICC 2003) - Anchorage, AK, United States
Duration: 11 May 200315 May 2003

Keywords

  • Diversity
  • Envelope detection
  • Generalized selection combining
  • Log-likelihood ratio
  • Rayleigh fading channel

Fingerprint

Dive into the research topics of 'Generalized selection combining based on the log-likelihood ratio'. Together they form a unique fingerprint.

Cite this