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Allen W. Morrison

dblp:180/4469 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 39% Wireless sensing and localization · 30% Cellular and mobile networks · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › antenna arrays
adaptive antenna array
0.212016
Desired Features of Adaptive Antenna Arrays for GNSS Receivers · Proc. IEEE 2016
Wireless sensing and localization › satellite navigation
GNSS receiver
0.212016
Desired Features of Adaptive Antenna Arrays for GNSS Receivers · Proc. IEEE 2016
Cellular and mobile networks › interference management
interference mitigation
0.212016
Desired Features of Adaptive Antenna Arrays for GNSS Receivers · Proc. IEEE 2016
Physical-layer communications › signal processing for communications
array signal processing
0.112016
Desired Features of Adaptive Antenna Arrays for GNSS Receivers · Proc. IEEE 2016

Methods — techniques the papers use, named apart from their topics

adaptive beamforming · 0.2
YearPublicationVenuePosition
2016 Desired Features of Adaptive Antenna Arrays for GNSS Receivers
abstract
Adaptive antenna arrays have become the system of choice for protecting Global Navigation Satellite Systems (GNSS) receivers in strong radio frequency interference environments. GNSS receiver adaptive antenna arrays have small aperture (of the order of a wavelength) and few (e.g., less than 10) elements. In the near future, even smaller vehicles will be equipped with protected GNSS receivers. Therefore, future GNSS receiver antenna arrays will be even smaller in size. At the same time, requirements for availability, accuracy, and integrity monitoring will increase. Novel array signal processing techniques need to be developed and deployed to meet these requirements. This paper presents state-of-the-art GNSS adaptive antenna array signal processing techniques. Some drawbacks of the current GNSS antenna signal processing techniques are also discussed in this paper, and new ideas for further research and development in GNSS adaptive antennas are presented.
Inder J. Gupta, Ira M. Weiss, Allen W. Morrison
Proc. IEEE3