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B.-H. Kim

dblp:23/3530 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Computer networks · 1 · 1 first-author

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 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
code-division multiple access
0.112006
Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006
Physical-layer communications
MIMO
0.112006
Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006
Physical-layer communications › code-division multiple access
multicode CDMA
0.112006
Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006
Physical-layer communications › equalization
space-time equalization
0.112006
Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006
Physical-layer communications
interference suppression
0.012006
Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006
Physical-layer communications
signal processing for communications
0.012006
Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems · IEEE Trans. Commun. 2006

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

minimum mean-squared error · 0.1linear equalization · 0.1
YearPublicationVenuePosition
2006 Linear MMSE Space-Time Equalizer for MIMO Multicode CDMA Systems
abstract
We propose an enhanced chip-level linear space-time (ST) equalizer for multiple-input multiple-output (MIMO) multicode code-division multiple-access (CDMA) systems. In the MIMO multicode CDMA systems, the reuse of the same spreading codes in different transmit antennas significantly degrades the equalization performance if the ST equalizer uses a minimum mean-squared error (MMSE) weighting vector that minimizes the mean-squared error of the equalizer output chip sequence. As the CDMA despreader concatenated to an ST equalizer distorts interstream interference components differently from multipath interference and background noise components, the chip-level MMSE weighting vector usually steers in suboptimal directions in the signal space. Therefore, we propose a new MMSE weighting vector that takes the despreading effect into account in this paper. Simulation results show a substantial performance improvement through the new weighting vector.
B.-H. Kim, M. Flury
IEEE Trans. Commun.1