Cost minimization of measurement devices under estimation accuracy constraints in the presence of Gaussian noise

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Dulek B., Gezici S.

DIGITAL SIGNAL PROCESSING, cilt.22, sa.5, ss.828-840, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22 Sayı: 5
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.dsp.2012.04.009
  • Dergi Adı: DIGITAL SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.828-840
  • Anahtar Kelimeler: Measurement cost, Cramer-Rao bound (CRB), Parameter estimation, Gaussian noise, WIRELESS SENSOR NETWORKS, DISTRIBUTED ESTIMATION, DECENTRALIZED ESTIMATION, CONVEX-OPTIMIZATION, SELECTION, ERROR
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Novel convex measurement cost minimization problems are proposed based on various estimation accuracy constraints for a linear system subject to additive Gaussian noise. Closed form solutions are obtained in the case of an invertible system matrix. In addition, the effects of system matrix uncertainty are studied both from a generic perspective and by employing a specific uncertainty model. The results are extended to the Bayesian estimation framework by treating the unknown parameters as Gaussian distributed random variables. Numerical examples are presented to discuss the theoretical results in detail. (C) 2012 Elsevier Inc. All rights reserved.