Randomly Spaced Smart Antennas

The goal of this thesis is to develop adaptive array' features out of randomly spaced antenna elements. Most optimization techniques that have been presented so far for non-equidistant antenna arrays have been restricted to the analysis of symmetric or linear geometries. Several direction of arrival (DOA) and adaptive beamforming al- gorithms are implemented and analyzed for both linear and planar randomly spaced antenna configurations; such as Capon and MUSIC for direction of arrival, and LMS, normalized LMS, leaky LMS, generalized normalized LMS, RLS and variable forget- ting factor RLS algorithms for the adaptive beamforming. The advantages and disadvantages of smart antennas based on random array con- figuration are presented and discussed. Several algorithms have been investigated to study the most suitable ones for optimizing the distribution of the excitation coe- cients. The work discussed herein can be extended to space applications using a cluster of small satellites, UAVs, or any array of sensors that are not aligned together in a standard linear or planar geometrical configuration. Furthermore, the proposed approach can also be extended to standard, two-dimensional linear arrays when one or more elements fail.'

Name thesis:degree_name

Electrical Engineering

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2014

Author dc:creator

• Ciaurriz Velasco, Maialen

Contributors dc:contributor

• Christodoulou, Christos
• Martinez Ramón, Manel
• Peng, Zhen

• Random
• Smart Antennas

Language dc:language

English

Repository record dc:identifier

https://digitalrepository.unm.edu/ece_etds/54

OAI identifier oai:identifier

oai:digitalrepository.unm.edu:ece_etds-1053