Distributed Algorithms for Array Signal Processing

Distributed or decentralized estimation of covariance, and distributed principal component analysis have been introduced studied in the signal processing community recent years, applications array indicated some detail. Inspired by these, this paper provides a detailed development several algorithms for processing. New are proposed DOA methods like root-MUSIC, total least squares-ESPRIT, FOCUSS. Other contributions include design Capon beamformer from data, implementation spatial smoothing method coherent sources. A recently beamspace called convolutional (CBS) is also proposed. The fully - an average consensus (AC) used to avoid need fusion center. based on reported finite-time version AC which converges exact solution finite number iterations. Numerical examples given throughout show effectiveness algorithms.