Distributed Beamforming Phase Synchronization Algorithms with multiple spatial constraints

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Chapter 1 Centralized Beamforming This chapter refers to the theory in [1] and provides a brief overview on array pro- cessing theory. An array is used to filter a desired signal in the space-time domain by exploiting its spatial characteristics. This filtering may be expressed in terms of a dependence upon an angle or a wavenumber. The design of arrays to achieve cer- tain performance criteria involves trade-offs among the array geometry, the number of sensors, signal to noise and signal to interference ratios. There are two aspects of array design that determine its performance as a filter: the geometry and the complex weightings of the data at each sensor output. 1.1 Array Processing In this section, we discuss the principal aspects concerning array processing. An array consists of a certain number of radiating elements and it is characterized by four features: a) array configuration b) temporal characteristics of the signal and the interference c) spatial characteristics of the signal and the interference d) objective of the array processing The array configuration consists of two parts: a1) antenna pattern of the individual elements (isotropic or anisotropic pattern) 3

Anteprima della Tesi di Valerio Nuccio

Anteprima della tesi: Distributed Beamforming Phase Synchronization Algorithms with multiple spatial constraints, Pagina 2

Tesi di Laurea Magistrale

Facoltà: Ingegneria

Autore: Valerio Nuccio Contatta »

Composta da 89 pagine.

 

Questa tesi ha raggiunto 51 click dal 11/12/2012.

 

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