On Adaptive Multiband Signal Detection with the Smi Algorithm

Hong Wang, Lujing Cai

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

In a nonstationary and/or nonhomogeneous interference environment, an adaptive system for target detection may suffer a severe performance degradation, due to the lack of a sufficient amount of data from which the system can “learn” (estimate) the statistics of the environment. We analyze the detection performance of an adaptive system, which employs a frequency diversity (multiband) signaling waveform and a multiband sample matrix inversion algorithm (SMI). By comparison with the corresponding single-band system under the chosen system constraint, we show that the multiband system can significantly outperform the single band when the amount of data available from a single frequency band is severely limited by the environment.

Original languageEnglish (US)
Pages (from-to)768-773
Number of pages6
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume26
Issue number5
DOIs
StatePublished - Sep 1990

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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