On the optimality of equal gain combining for energy detection of unknown signals

Sinan Gezici, Zafer Sahinoglu, H. Vincent Vincent Poor

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

In this letter, the optimality of equal gain combining (EGC) for energy detection of unknown signals in a system with receive-diversity is studied. It is shown that EGC results in an optimal test statistic for inflnitesimally small signal-to-noise ratios (SNRs); however, it does not yield the optimal test for all SNR values according to the Neyman-Pearson criterion. In other words, EGC does not induce a uniformly most powerful (UMP) test for unknown signal detection.

Original languageEnglish (US)
Pages (from-to)772-774
Number of pages3
JournalIEEE Communications Letters
Volume10
Issue number11
DOIs
StatePublished - Nov 1 2006

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Diversity
  • Energy detection
  • Neyman-Pearson criterion

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