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Yongmei Dai

Researcher at Institute for Infocomm Research Singapore

Publications -  8
Citations -  207

Yongmei Dai is an academic researcher from Institute for Infocomm Research Singapore. The author has contributed to research in topics: MIMO & MIMO-OFDM. The author has an hindex of 5, co-authored 8 publications receiving 206 citations. Previous affiliations of Yongmei Dai include Lehigh University.

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Proceedings ArticleDOI

A Comparative Study of QRD-M Detection and Sphere Decoding for MIMO-OFDM Systems

TL;DR: A comparative study of two tree search based detection algorithms, namely, the M-algorithm combined with QR decomposition (QRD-M) and the sphere decoding (SD) algorithms, for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems shows that nodes ordering before and during the tree search are important for both algorithms.
Proceedings ArticleDOI

Pseudo-Inverse MMSE Based QRD-M Algorithm for MIMO OFDM

TL;DR: The proposed algorithm can effectively mitigate the detrimental effect of MIMO channel ill-conditions on the bit error rate (BER) performance and the number of retained branches can be reduced to half of the original QRD-M algorithm in Kyeong Jin Kim and R.A. Iltis (2002).
Proceedings ArticleDOI

A list sphere decoder based turbo receiver for groupwise space time trellis coded (GSTTC) systems

TL;DR: A list sphere decoder (LSD) based turbo receiver is introduced for groupwise space time trellis coded (GSTTC) systems and shows that good FER and BER performances as well as fast convergence can be achieved with a very small list for simple STT codes with a small number of states.
Proceedings ArticleDOI

A low complexity near ML V-BLAST algorithm

TL;DR: A low complexity MIMO detection scheme is proposed to achieve near optimal maximum likelihood (ML) detection performance, which is especially efficient in high data rate packet transmission systems, such as wireless LAN based hotspots, fixed broadband wireless access systems, or 4G cellular based hotspot etc.
Journal ArticleDOI

Ordered array processing for space-time coded systems

TL;DR: An ordered detection algorithm which compensates the diversity loss by always detecting the group with the strongest post-nulling signal-to-noise ratio is proposed.