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Keyword

MIMO detection

Description: Signal processing that estimates transmitted symbols from received signals in wireless systems with multiple transmit and receive antennas.
OpenAlex ID: keywords/mimo-detection
Semidefinite Relaxation of Quadratic Optimization Problems
2010 · Zhi-quan Luo, Wing-kin Ma, et al. · IEEE Signal Processing Magazine · 3,706
Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs
2015 · Shaoshi Yang, Lajos Hanzo · IEEE Communications Surveys & Tutorials · 816
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Lattice code decoder for space-time codes
2000 · O. Damen, A. Chkeif, et al. · IEEE Communications Letters · 757
Algorithm and implementation of the K-best sphere decoding for MIMO detection
2006 · Zhan Guo, P. Nilsson · IEEE Journal on Selected Areas in Communications · 707
VLSI implementation of MIMO detection using the sphere decoding algorithm
2005 · A. Burg, M. Borgmann, et al. · IEEE Journal of Solid-State Circuits · 635
Learning to Detect
2019 · Neev Samuel, Tzvi Diskin, et al. · IEEE Transactions on Signal Processing · 512
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Fixing the Complexity of the Sphere Decoder for MIMO Detection
2008 · Luis Barbero, John Thompson · IEEE Transactions on Wireless Communications · 494
An efficient square-root algorithm for BLAST
2002 · B. Hassibi · IEEE International Conference on Acoustics Speech and Signal Processing · 490
Lattice-reduction-aided detectors for MIMO communication systems
2003 · Huan Yao, G.W. Wornell · IEEE Global Telecommunications Conference (GLOBECOM) · 489
Deep MIMO detection
2017 · Neev Samuel, Tzvi Diskin, et al. · IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) · 462
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Model-Driven Deep Learning for MIMO Detection
2020 · Hengtao He, Chao-Kai Wen, et al. · IEEE Transactions on Signal Processing · 461
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Implementation of a MIMO OFDM-Based Wireless LAN System
2004 · A. van Zelst, T.C.W. Schenk · IEEE Transactions on Signal Processing · 429
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Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice- reduction
2004 · D. Wubben, R. Bohnke, et al. · International Conference on Communications · 388
Soft-output sphere decoding: algorithms and VLSI implementation
2008 · C. Studer, A. Burg, et al. · IEEE Journal on Selected Areas in Communications · 381
Low-complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction
2004 · C. Windpassinger, R.F.H. Fischer · IEEE Information Theory Workshop (ITW) · 327
Complex Lattice Reduction Algorithm for Low-Complexity Full-Diversity MIMO Detection
2009 · Ying Hung Gan, Cong Ling, et al. · IEEE Transactions on Signal Processing · 323
ASIC Implementation of Soft-Input Soft-Output MIMO Detection Using MMSE Parallel Interference Cancellation
2011 · Christoph Studer, Schekeb Fateh, et al. · IEEE Journal of Solid-State Circuits · 307
MIMO transmission with residual transmit-RF impairments
2010 · Christoph Studer, Markus Wenk, et al. · International ITG Workshop on Smart Antennas · 302
A Model-Driven Deep Learning Network for MIMO Detection
2018 · Hengtao He, Chao-Kai Wen, et al. · IEEE Global Conference on Signal and Information Processing · 289
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Deep Unfolding for Communications Systems: A Survey and Some New Directions
2019 · Alexios Balatsoukas-Stimming, Christoph Studer · IEEE International Workshop on Signal Processing Systems (SiPS) · 272
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On the sphere-decoding algorithm II. Generalizations, second-order statistics, and applications to communications
2005 · H. Vikalo, B. Hassibi · IEEE Transactions on Signal Processing · 251
MIMO Detection Methods: How They Work [Lecture Notes]
2009 · E.G. Larsson · IEEE Signal Processing Magazine · 233
Soft–Input Soft–Output Single Tree-Search Sphere Decoding
2010 · Christoph Studer, Helmut Bolcskei · IEEE Transactions on Information Theory · 223
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On Multiple-Input Multiple-Output OFDM with Index Modulation for Next Generation Wireless Networks
2016 · Ertugrul Basar · IEEE Transactions on Signal Processing · 215
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Efficient detection algorithms for mimo channels: a geometrical approach to approximate ml detection
2003 · H. Artes, D. Seethaler, et al. · IEEE Transactions on Signal Processing · 206
Works count: 3,822
Citation count: 38,570
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