Distributed spectrum estimation based on alternating mixed discrete-continuous adaptation

Tamara Guerra Miller, Songcen Xu, Rodrigo C. De Lamare, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


This letter proposes a distributed alternating mixed discrete-continuous (DAMDC) algorithm to approach the oracle algorithm based on the diffusion strategy for parameter and spectrum estimation over sensor networks. A least mean squares (LMS) type algorithm that obtains the oracle matrix adaptively is developed and compared with the existing sparsity-aware and conventional algorithms. The proposed algorithm exhibits improved performance in terms of mean square deviation and power spectrum estimation accuracy. Numerical results show that the DAMDC algorithm achieves excellent performance.

Original languageEnglish (US)
Article number7428768
Pages (from-to)551-555
Number of pages5
JournalIEEE Signal Processing Letters
Issue number4
StatePublished - Apr 2016

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Distributed processing
  • diffusion-LMS
  • oracle Algorithm
  • sparsity-aware algorithms
  • spectrum estimation


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