High-power interference suppression via reduced complexity adaptive blind beamforming

Garret Okamoto; Chih-Wei Chen

doi:10.1117/12.859735

28 April 2010 High-power interference suppression via reduced complexity adaptive blind beamforming

Garret Okamoto, Chih-Wei Chen

Proceedings Volume 7706, Wireless Sensing, Localization, and Processing V; 77060X (2010) https://doi.org/10.1117/12.859735
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

This paper evaluates the ACRi Blind Beamforming (ABB) smart antenna algorithm which addresses the significant problem caused by high-power transmitters located in close proximity to users. Current solutions are overwhelmed by the rapid increase in number and variety of strong interference sources. ABB requires less computational complexity than standard algorithms, making it feasible to be added to current and next-generation systems, and provides a highly adaptive and reliable interference-resistant communications environment. Simulations show that ABB automatically nulls jamming signals that are 20 dB to 40 dB stronger than the user signal, achieving close to the theoretically best performance despite being a blind solution (no information required about the jammer or user signal) and its low computational requirements. Systems with a limited number of antennas are evaluated because legacy and current generation systems have as little as two antennas.

Citation Download Citation

Garret Okamoto and Chih-Wei Chen "High-power interference suppression via reduced complexity adaptive blind beamforming", Proc. SPIE 7706, Wireless Sensing, Localization, and Processing V, 77060X (28 April 2010); https://doi.org/10.1117/12.859735

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