Distributed Spectrum Estimation Based on Alternating Mixed Discrete-Continuous Adaptation

作者：Miller Tamara Guerra^*; Xu Songcen^*; de Lamare Rodrigo C^*; Poor H Vincent^*

来源：IEEE Signal Processing Letters, 2016, 23(4): 551-555.

DOI：10.1109/LSP.2016.2539328

• Diffusion-least mean squares (LMS)
• distributed processing
• oracle algorithm
• sparsity-aware algorithms
• spectrum estimation

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.

• 出版日期2016-4