Beamforming performance for a reconfigurable sparse array smart antenna system via multiple mobile robotic systems

Garret Okamoto; Chih-Wei Chen; Christopher Kitts

doi:10.1117/12.859738

28 April 2010 Beamforming performance for a reconfigurable sparse array smart antenna system via multiple mobile robotic systems

Garret Okamoto, Chih-Wei Chen, Christopher Kitts

Author Affiliations +

Proceedings Volume 7706, Wireless Sensing, Localization, and Processing V; 77060Z (2010) https://doi.org/10.1117/12.859738
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

This paper describes and evaluates the beamforming performance for a flexible sparse array smart antenna system that can be reconfigured through the use of multiple mobile robots. Current robotic systems are limited because they cannot utilize beamforming due to their limited number of antennas and the high computational requirement of beamformers. The beamforming techniques used in this paper are unique because unlike current beamformers, the antennas in the sparse array are not connected together; instead, each robot has a single antenna. This work is made possible through breakthroughs by the authors on ultra-low computational complexity beamforming and multi-mobile robot cluster control. This new beamforming paradigm provides spatial reconfigurability of the array to control its location, size, inter-antenna spacing and geometry via multi-robot collaborative communications. Simulation results evaluate the effectiveness of smart antenna beamforming techniques when 1, 2, 3, 4, and 8 robots are utilized with and without interference signals present.

Citation Download Citation

Garret Okamoto, Chih-Wei Chen, and Christopher Kitts "Beamforming performance for a reconfigurable sparse array smart antenna system via multiple mobile robotic systems", Proc. SPIE 7706, Wireless Sensing, Localization, and Processing V, 77060Z (28 April 2010); https://doi.org/10.1117/12.859738

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available