The Achievable Performance of Unitary-ESPRIT Algorithm for DOA Estimation

  • Satayarak, Peangduen (Department of Information Engineering, Faculty of Engineering, King Mongkut′s Institute of Technology Ladkrabang) ;
  • Rawiwan, Panarat (Department of Information Engineering, Faculty of Engineering, King Mongkut′s Institute of Technology Ladkrabang) ;
  • Supanakoon, Pichaya (Department of Information Engineering, Faculty of Engineering, King Mongkut′s Institute of Technology Ladkrabang) ;
  • Chamchoy, Monchai (Department of Information Engineering, Faculty of Engineering, King Mongkut′s Institute of Technology Ladkrabang) ;
  • Promwong, Sathaporn (Department of Information Engineering, Faculty of Engineering, King Mongkut′s Institute of Technology Ladkrabang) ;
  • Tangtisanon, Prakit (Department of Information Engineering, Faculty of Engineering, King Mongkut′s Institute of Technology Ladkrabang)
  • Published : 2002.07.01

Abstract

In this paper, the accuracy of the direction-of-arrival (DOA) estimation of signal impinged on the uniform linear array (ULA) is investigated. The conventional beamformer and Capon’s beamformer categorized in beamformaing techniques as well as MUSIC (MUlti-pie Signal Classification) and ESPRIT (Estimation of Signal Invariance Techniques) categorized in subspace- based methods are employed to estimate the DOAs. From the simulation result under uncorrelated environment, MUSIC can prominently distinguish the DOAs while the beamforming techniques cannot demonstrate the DOAs as clear as MUSIC does. Moreover, Uni-tary ESPRIT is employed to estimate the DOAs under uncorrelated signal conditions. By means of Uni-tary ESPRIT, the estimation has more accuracy with the computational-time reduction. In addition, it incorporates forward-backward averaging; thus Unitary ES-PRIT can overcome the problem of the coherent signal condition.

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