Signal correlation modeling in acoustic vector sensor arrays

Ali Abdi, Huaihai Guo

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

A vector sensor measures the scalar and vector components of the acoustic field. In a multipath channel, the sensor collects the information via multiple paths. Depending on the angle-of-arrival distribution and other channel characteristics, different types of correlation appear in a vector sensor array, which affect the array performance. In this paper, a novel statistical framework is developed which provides closed-form parametric expressions for signal correlations in vector sensor arrays. Such correlation expressions serve as useful tools for system design and performance analysis of vector sensor signal processing algorithms. They can also be used to estimate some important physical parameters of the channel such as angle spreads, mean angle of arrivals, etc.

Original languageEnglish (US)
Pages (from-to)892-903
Number of pages12
JournalIEEE Transactions on Signal Processing
Volume57
Issue number3
DOIs
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Acoustic communication
  • Acoustic particle velocity
  • Multipath channel
  • Shallow water channel
  • Signal correlation
  • Underwater communication
  • Vector sensor array

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