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Hak-Keong Sim

dblp:22/10924 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Computer networks · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications › signal detection › nonlinear detection
decision feedback detection
0.012001
Orthogonal decision-feedback detector for asynchronous multiuser CDMA systems · IEEE Trans. Commun. 2001
Physical-layer communications › signal detection
multiuser detection
0.012001
Orthogonal decision-feedback detector for asynchronous multiuser CDMA systems · IEEE Trans. Commun. 2001
Physical-layer communications › interference cancellation
multiuser interference cancellation
0.012001
Orthogonal decision-feedback detector for asynchronous multiuser CDMA systems · IEEE Trans. Commun. 2001
Physical-layer communications
spread spectrum and CDMA
0.012001
Orthogonal decision-feedback detector for asynchronous multiuser CDMA systems · IEEE Trans. Commun. 2001

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

matched filtering · 0.0gram-schmidt orthogonalization · 0.0
YearPublicationVenuePosition
2001 Orthogonal decision-feedback detector for asynchronous multiuser CDMA systems
abstract
This paper introduces an asynchronous orthogonal decision-feedback detector (AODFD) for asynchronous CDMA multiuser detection. The AODFD based on entire message-length detection is studied first. A realizable scheme, sliding-window AODFD, is then proposed and its performance is analyzed. In spite of its simple structure, the sliding-window AODFD can perform as desirably as ADDFD, which has a much higher complexity. The reduced complexity of the sliding-window AODFD is due to the use of orthogonal matched-filtering and a short window size. Different from ADDFD that requires computational intensive z-transformed matrix inversion and spectral factorization, AODFD uses the agile Gram-Schmidt procedure. It is possible for AODFD to adopt a simple updating algorithm and parameter updating is no longer always necessary when users leave the system. The comparisons are also made with other orthogonal-based detectors and the bit error probability results show that the AODFD is an attractive multiuser detector.
Hsiao-Hwa Chen, Hak-Keong Sim
IEEE Trans. Commun.2