Treffer: Convex Optimization for Distributed Acoustic Beamforming : a thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Master of Engineering in Electronics and Computer Systems Engineering
Title:
Convex Optimization for Distributed Acoustic Beamforming : a thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Master of Engineering in Electronics and Computer Systems Engineering
Authors:
Added Details:
Victoria University of Wellington. School of Engineering and Computer Science.
Victoria University of Wellington, degree granting institution.
Victoria University of Wellington, degree granting institution.
Call Numbers:
QA76.9.D5 J455 2017
Physical Description:
1 online resource (iv, 100 pages) : illustrations (some colour)
Subjects:
Electronic data processing Distributed processing., Beamforming., Mathematical optimization., Convex functions., Signal processing Digital techniques., Traitement réparti., Formation de faisceau., Optimisation mathématique., Fonctions convexes., Traitement du signal Techniques numériques., Signal processing Digital techniques, Mathematical optimization, Electronic data processing Distributed processing, Convex functions, Beamforming
Index Terms:
Availability:
Open access content. Open access content
Note:
Includes bibliographical references.
En_NZ
En_NZ
Other Numbers:
UX0 oai:researcharchive.vuw.ac.nz:10063/6650
1007024516
1007024516
Contributing Source:
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1007024516
Database:
OAIster
Weitere Informationen
Beamforming filter optimization can be performed over a distributed wireless sensor network, but the output calculation remains either centralized or linked in time to the weights optimization. We propose a distributed method for calculating the beamformer output which is independent of the filter optimization. The new method trades a small decrease in signal to noise performance for a large decrease in transmission power. Background is given on distributed convex optimization and acoustic beamforming. The new model is described with analysis of its behaviour under independent noise. Simulation results demonstrate the desirable properties of the new model in comparison with centralized output computation.