Data-aided DOA estimation of single source with time-variant Rayleigh amplitudes

H. Abeida*, Tareq Al-Naffouri

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

This paper focuses on the data-aided (DA) direction of arrival (DOA) estimation of a single narrow-band source in timevarying Rayleigh fading amplitude. The time-variant fading amplitude is modeled by considering the Jakes'and the first order autoregressive (AR1) correlation models. Closed-form expressions of the CRB for DOA alone are derived for fast and slow Rayleigh fading amplitude. As a special case, the CRB under uncorrelated fading Rayleigh channel is derived. A analytical approximate expressions of the CRB are derived for low and high SNR that enable the derivation of a number of properties that describe the bound's dependence on key parameters such as SNR, channel correlation. A high signal-tonoise- ratiomaximumlikelihood (ML) estimator based on the AR1 correlation model is derived. The main objective is to reduce algorithm complexity to a single-dimensional search on the DOA parameter alone as in the static-channelDOA estimator. Finally, simulation results illustrate the performance of the estimator and confirm the validity of the theoretical analysis.

Original languageEnglish (US)
Pages (from-to)1359-1363
Number of pages5
JournalEuropean Signal Processing Conference
StatePublished - Dec 1 2010
Event18th European Signal Processing Conference, EUSIPCO 2010 - Aalborg, Denmark
Duration: Aug 23 2010Aug 27 2010

Keywords

  • AR1 channel model
  • Cramér rao bound
  • DOA estimation
  • Jakes'channel model
  • Ml estimator
  • Time-varying fading channel

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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