Random array theory and collaborative beamforming

Hideki Ochiai, Patrick Mitran, H. Vincent Poor, Vahid Tarokh

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In wireless sensor networks, the sensor nodes are often randomly situated, and each node is likely to be equipped with a single antenna. If these sensor nodes are able to synchronize, it is possible to beamform by considering sensor nodes as a random array of antennas. Using probabilistic arguments, it can be shown that random arrays formed by dispersive sensors can form nice beampatterns with a sharp main lobe and low sidelobe levels. This chapter reviews the probabilistic analysis of linear random arrays, which dates back to the early work of Y. T. Lo (1964), and then discusses recent work on the statistical analysis of two-dimensional random arrays originally derived in the framework of wireless sensor networks.

Original languageEnglish (US)
Title of host publicationHandbook on Advancements in Smart Antenna Technologies for Wireless Networks
PublisherIGI Global
Pages94-106
Number of pages13
ISBN (Print)9781599049885
DOIs
StatePublished - Dec 1 2008

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Random array theory and collaborative beamforming'. Together they form a unique fingerprint.

Cite this