Journal articles on the topic 'Space-time coding'

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1

El Gamal, H., and M. O. Damen. "Universal space-time coding." IEEE Transactions on Information Theory 49, no. 5 (May 2003): 1097–119. http://dx.doi.org/10.1109/tit.2003.810644.

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2

Hung-Quoc Lai and K. J. R. Liu. "Space-time network coding." IEEE Transactions on Signal Processing 59, no. 4 (April 2011): 1706–18. http://dx.doi.org/10.1109/tsp.2010.2103063.

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3

Singer, Wolf. "Time as coding space?" Current Opinion in Neurobiology 9, no. 2 (April 1999): 189–94. http://dx.doi.org/10.1016/s0959-4388(99)80026-9.

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4

Caire, Giuseppe, Petros Elia, and K. Raj Kumar. "Space-Time Coding: an Overview." Journal of Communications Software and Systems 2, no. 3 (April 5, 2017): 212. http://dx.doi.org/10.24138/jcomss.v2i3.284.

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This work provides an overview of the fundamental aspects and of some recent advances in space-time coding (STC). Basic information theoretic results on Multiple-Input Multiple-Output (MIMO) fading channels, pertaining to capacity, diversity, and to the optimal Diversity Multiplexing Tradeoff (DMT), are reviewed. The code design for the quasi-static, outage limited, fading channel is recognized as the most challenging and innovative with respect to traditional “Gaussian” coding. Then, a survey of STC constructions is presented. This culminates with the description of families of codes that are optimal with respect to the DMT criterion and have error performance that is very close to the information theoretic limits. The paper concludes with some important recent topics, including open problems in STC design.
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5

Huang, Yu-Chih, Yi Hong, Emanuele Viterbo, and Lakshmi Natarajan. "Layered Space-Time Index Coding." IEEE Transactions on Information Theory 65, no. 1 (January 2019): 142–58. http://dx.doi.org/10.1109/tit.2018.2842144.

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6

Yiu, S., R. Schober, and L. Lampe. "Distributed space-time block coding." IEEE Transactions on Communications 54, no. 7 (July 2006): 1195–206. http://dx.doi.org/10.1109/tcomm.2006.877947.

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7

Fasano, Antonio, and Sergio Barbarossa. "Trace-Orthogonal Space-Time Coding." IEEE Transactions on Signal Processing 56, no. 5 (May 2008): 2017–34. http://dx.doi.org/10.1109/tsp.2007.909225.

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8

Cavers, J. K. "Space-time coding using MSK." IEEE Transactions on Wireless Communications 4, no. 1 (January 2005): 185–91. http://dx.doi.org/10.1109/twc.2004.840242.

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9

Adebanjo, Ibukunoluwa Adetutu, Yekeen Olajide Olasoji, and Micheal Olorunfunmi Kolawole. "Space-Time Trellis Coding with Equalization." European Journal of Engineering Research and Science 4, no. 9 (September 27, 2019): 207–11. http://dx.doi.org/10.24018/ejers.2019.4.9.1412.

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As we are entering the 5G era, high demand is made of wireless communication. Consistent effort has been ongoing in multiple-input multiple-output (MIMO) systems, which provide correlation on temporal and spatial domain, to meet the high throughput demand. To handle the characteristic nature of wireless channel effectively and improve the system performance, this paper considers the combination of diversity and equalization. Space-Time trellis code is combined with single-carrier modulation using two-choice equalization techniques, namely: minimum mean squared error (MMSE) equalizer and orthogonal triangular (QR) detection. MMSE gives an optimal balance between noise enhancement and net inter-symbol interference (ISI) in the transmitted signal. Use of these equalizers provides the platform of investigating the bit error rate (BER) and the pairwise error probability (PEP) at the receiver, as well as the effect of cyclic prefix reduction on the receivers. It was found that the MMSE receiver outperforms the QR receiver in terms of BER, while in terms of PEP; the QR receiver outperforms the MMSE receiver. When a cyclic prefix reduction test was carried out on both receivers, it yields a significant reduction in BER of both receivers but has no significant effect on the overall performance.
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10

Adebanjo, Ibukunoluwa Adetutu, Yekeen Olajide Olasoji, and Micheal Olorunfunmi Kolawole. "Space-Time Trellis Coding with Equalization." European Journal of Engineering and Technology Research 4, no. 9 (September 27, 2019): 207–11. http://dx.doi.org/10.24018/ejeng.2019.4.9.1412.

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As we are entering the 5G era, high demand is made of wireless communication. Consistent effort has been ongoing in multiple-input multiple-output (MIMO) systems, which provide correlation on temporal and spatial domain, to meet the high throughput demand. To handle the characteristic nature of wireless channel effectively and improve the system performance, this paper considers the combination of diversity and equalization. Space-Time trellis code is combined with single-carrier modulation using two-choice equalization techniques, namely: minimum mean squared error (MMSE) equalizer and orthogonal triangular (QR) detection. MMSE gives an optimal balance between noise enhancement and net inter-symbol interference (ISI) in the transmitted signal. Use of these equalizers provides the platform of investigating the bit error rate (BER) and the pairwise error probability (PEP) at the receiver, as well as the effect of cyclic prefix reduction on the receivers. It was found that the MMSE receiver outperforms the QR receiver in terms of BER, while in terms of PEP; the QR receiver outperforms the MMSE receiver. When a cyclic prefix reduction test was carried out on both receivers, it yields a significant reduction in BER of both receivers but has no significant effect on the overall performance.
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11

Han, G. "Generalized PSK in Space–Time Coding." IEEE Transactions on Communications 53, no. 5 (May 2005): 790–801. http://dx.doi.org/10.1109/tcomm.2005.847166.

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12

Boyer, Colby, and Sumit Roy. "Space Time Coding for Backscatter RFID." IEEE Transactions on Wireless Communications 12, no. 5 (May 2013): 2272–80. http://dx.doi.org/10.1109/twc.2013.031313.120917.

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13

Simon Yiu, R. Schober, and L. Lampe. "Decentralized distributed space-time trellis coding." IEEE Transactions on Wireless Communications 6, no. 11 (November 2007): 3985–93. http://dx.doi.org/10.1109/twc.2007.060142.

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14

Lee, Namyoon, and Robert W. Heath. "Space–Time Physical-Layer Network Coding." IEEE Journal on Selected Areas in Communications 33, no. 2 (February 2015): 323–36. http://dx.doi.org/10.1109/jsac.2014.2384351.

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15

Makki, Behrooz, Tommy Svensson, Thomas Eriksson, and Mohamed-Slim Alouini. "Adaptive Space–Time Coding Using ARQ." IEEE Transactions on Vehicular Technology 64, no. 9 (September 2015): 4331–37. http://dx.doi.org/10.1109/tvt.2014.2362173.

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16

Manssour, Jawad, Afif Osseiran, and Slimane Ben Slimane. "High-Rate Redundant Space-Time Coding." Journal of Electrical and Computer Engineering 2010 (2010): 1–5. http://dx.doi.org/10.1155/2010/324138.

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We present a new space-time encoder based on packet-level redundancy which can increase the space-time encoder rate beyond unity without compromising diversity gains. A complementary low-complexity decoding algorithm based on maximum ratio combining and successive interference cancelation is further proposed. A major merit of the decoding algorithm is that it allows to adaptively tradeoff between diversity and multiplexing gains based on the estimated channel parameters at the receiver without requiring any channel state information at the transmitter. System level simulation results give insight into the advantages of the proposed scheme when compared to its Alamouti and MIMO multiplexing based on single value decomposition counterparts.
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17

Keong TEH, Peh, and Seyed ZEKAVAT. "Beam Pattern Scanning (BPS) versus Space-Time Block Coding (STBC) and Space-Time Trellis Coding (STTC)." International Journal of Communications, Network and System Sciences 02, no. 06 (2009): 469–79. http://dx.doi.org/10.4236/ijcns.2009.26051.

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18

Bayaki, Ehsan, and Robert Schober. "On space-time coding for free-space optical systems." IEEE Transactions on Communications 58, no. 1 (January 2010): 58–62. http://dx.doi.org/10.1109/tcomm.2010.01.080142.

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19

Zhang, Zhongzheng, Hongwei Li, Khandaker Noman, and Yongbo Li. "A time-space coding metasurface and potential applications." Journal of Physics: Conference Series 2425, no. 1 (February 1, 2023): 012046. http://dx.doi.org/10.1088/1742-6596/2425/1/012046.

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Abstract Compared with the deepening development of time-space coding metasurfaces in the electromagnetic and acoustic field, the research on time-space coding metasurface in the field of elastic vibration is still in the infancy. In order to enrich the designed schemes of spatiotemporal coding for elastic vibration, a time-space coding metasurface based on the random modulation strategy of wavefront phase is proposed in this paper. Compared with traditional homogeneous materials with highly correlated vibration transmission, the proposed coding metasurfaces with homogeneous materials realizes extremely low correlated vibration transmission in different vibration directions, which provides a physical realization for the measurement matrix in compression sensing. Furthermore, combined with compressed sensing technology, the potential application value of the proposed time-space coding metasurfaces in single-sensor vibration location and impact identification is verified through simulation.
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20

ZHANG, Peng, Fu-rong WANG, and Zheng-guang XU. "Research on opportunistic distributed space-time coding." Journal of Computer Applications 29, no. 8 (October 9, 2009): 2153–56. http://dx.doi.org/10.3724/sp.j.1087.2009.02153.

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21

ElGamal, H., D. Aktas, and M. O. Damen. "Noncoherent Space–Time Coding: An Algebraic Perspective." IEEE Transactions on Information Theory 51, no. 7 (July 2005): 2380–90. http://dx.doi.org/10.1109/tit.2005.850139.

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22

Tarokh, V., A. Naguib, N. Seshadri, and A. R. Calderbank. "Combined array processing and space-time coding." IEEE Transactions on Information Theory 45, no. 4 (May 1999): 1121–28. http://dx.doi.org/10.1109/18.761255.

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23

Jiang, Hong Rui, and Kyung Sup Kwak. "Space–Time Block Coding Iterative Multiuser Receiver." Journal of Circuits, Systems and Computers 12, no. 01 (February 2003): 19–30. http://dx.doi.org/10.1142/s0218126603000817.

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We present a multiuser receiver for CDMA systems with the combination of turbo channel coding and space–time block coding. A turbo scheme based on multiuser detection, soft interference cancellation and decoding is provided, and the algorithms for space–time decoding and separately interference suppressing are derived in this paper. The multiuser detection consists of multiuser interference suppression and single-user space–time decoding. Then we develop the iterative multiuser receiver based on the soft estimates of the interfering users' symbols. Moreover, simulation is given to verify the effectiveness of the multiuser receiver.
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24

Xiong, Ke, Pingyi Fan, Hong-Chuan Yang, and Khaled Ben Letaief. "Space-Time Network Coding With Overhearing Relays." IEEE Transactions on Wireless Communications 13, no. 7 (July 2014): 3567–82. http://dx.doi.org/10.1109/twc.2014.2321578.

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25

Stefanov, A., and E. Erkip. "Cooperative Space–Time Coding for Wireless Networks." IEEE Transactions on Communications 53, no. 11 (November 2005): 1804–9. http://dx.doi.org/10.1109/tcomm.2005.858641.

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26

El Gamal, H. "On the robustness of space-time coding." IEEE Transactions on Signal Processing 50, no. 10 (October 2002): 2417–28. http://dx.doi.org/10.1109/tsp.2002.803328.

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27

Yang, Kai, Nan Yang, Chengwen Xing, Jinsong Wu, and Jianping An. "Space–Time Network Coding With Antenna Selection." IEEE Transactions on Vehicular Technology 65, no. 7 (July 2016): 5264–74. http://dx.doi.org/10.1109/tvt.2015.2455233.

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28

NGUYEN, D. H. N., H. H. NGUYEN, and T. D. HOANG. "High-Rate Space-Time Block Coding Schemes." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A, no. 11 (November 1, 2008): 3393–97. http://dx.doi.org/10.1093/ietfec/e91-a.11.3393.

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29

Bevan, D., and R. Tanner. "Performance comparison of space-time coding techniques." Electronics Letters 35, no. 20 (1999): 1707. http://dx.doi.org/10.1049/el:19991215.

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30

Bouvet, Pierre-Jean, and Maryline Hélard. "Optimal space-time coding under iterative processing." annals of telecommunications - annales des télécommunications 69, no. 3-4 (March 8, 2013): 229–38. http://dx.doi.org/10.1007/s12243-013-0353-z.

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31

Liu, Z., G. B. Giannakis, S. Zhou, and B. Muquet. "Space-time coding for broadband wireless communications." Wireless Communications and Mobile Computing 1, no. 1 (January 2001): 35–53. http://dx.doi.org/10.1002/1530-8677(200101/03)1:1<35::aid-wcm4>3.0.co;2-5.

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32

Liew, T. H., and L. Hanzo. "Space-Time Trellis and Space-Time Block Coding Versus Adaptive Modulation and Coding Aided OFDM for Wideband Channels." IEEE Transactions on Vehicular Technology 55, no. 1 (January 2006): 173–87. http://dx.doi.org/10.1109/tvt.2005.861174.

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33

Guo, YongLiang, and ShiHua Zhu. "Non-coherent space-time code based on full diversity space-time block coding." Science in China Series F: Information Sciences 51, no. 1 (January 2008): 53–62. http://dx.doi.org/10.1007/s11432-007-0054-1.

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34

Choe, S., and J. Yoo. "Space-time/space-time-frequency-coding-based MIMO-OFDM over power line channels." Electronics Letters 48, no. 16 (August 2, 2012): 999–1000. http://dx.doi.org/10.1049/el.2012.1786.

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35

Wu, J., P. Xiao, M. Sellathurai, S. Blostein, and T. Ratnarajah. "Joint complex diversity coding and channel coding over space, time and frequency." IET Signal Processing 5, no. 7 (2011): 643. http://dx.doi.org/10.1049/iet-spr.2010.0196.

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36

Zhang, Lei, and Tie Jun Cui. "Space-Time-Coding Digital Metasurfaces: Principles and Applications." Research 2021 (May 24, 2021): 1–25. http://dx.doi.org/10.34133/2021/9802673.

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Space-time-modulated metastructures characterized by spatiotemporally varying properties have recently attracted great interest and become one of the most fascinating and promising research fields. In the meantime, space-time-coding digital metasurfaces with inherently programmable natures emerge as powerful and versatile platforms for implementing the spatiotemporal modulations, which have been successfully realized and used to manipulate the electromagnetic waves in both the spectral and spatial domains. In this article, we systematically introduce the general concepts and working principles of space-time-coding digital metasurfaces and provide a comprehensive survey of recent advances and representative applications in this field. Specifically, we illustrate the examples of complicated wave manipulations, including harmonic beam control and programmable nonreciprocal effect. The fascinating strategy of space-time-coding opens the door to exciting scenarios for information systems, with abundant applications ranging from wireless communications to imaging and radars. We summarize this review by presenting the perspectives on the existing challenges and future directions in this fast-growing research field.
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37

Chopra, Shakti Raj. "Space Time Coding Techniques in MIMO: A Review." Indian Journal of Science and Technology 9, no. 1 (January 20, 2016): 1–5. http://dx.doi.org/10.17485/ijst/2016/v9i47/106425.

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38

Santumon, S. D. "Space-Time Block Coding (STBC) for Wireless Networks." International Journal of Distributed and Parallel systems 3, no. 4 (July 31, 2012): 183–95. http://dx.doi.org/10.5121/ijdps.2012.3419.

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39

Shao, Chao, Cun Yao Xu, and Xin Shi. "A Column Orthogonality Space-Time-Frequency Coding Schemes." Advanced Materials Research 846-847 (November 2013): 1044–47. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1044.

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A column orthogonal space-time-frequency coding scheme is presented, its induced cost207 transmit environment channel matrix has greater determinant value, which will lead result in amplifying the signal-to noise ratio of system, and improving the performance of the system. Computer simulations confirm the theory of the article.
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40

Oggier, FrÉdÉrique. "Cyclic Algebras for Noncoherent Differential Space–Time Coding." IEEE Transactions on Information Theory 53, no. 9 (September 2007): 3053–65. http://dx.doi.org/10.1109/tit.2007.903152.

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41

Altunbas, Ibrahim, and Abbas Yongacoglu. "Error performance of serially concatenated space-time coding." Journal of Communications and Networks 5, no. 2 (June 2003): 135–40. http://dx.doi.org/10.1109/jcn.2003.6596559.

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42

Jongren, G., M. Skoglund, and B. Ottersten. "Combining beamforming and orthogonal space-time block coding." IEEE Transactions on Information Theory 48, no. 3 (March 2002): 611–27. http://dx.doi.org/10.1109/18.985950.

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43

Li, Xu. "Alternate time-space coding for structured light system." Optical Engineering 47, no. 12 (December 1, 2008): 127201. http://dx.doi.org/10.1117/1.3037338.

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44

Slaney, A., and Y. Sun. "Space-time coding for wireless communications: an overview." IEE Proceedings - Communications 153, no. 4 (2006): 509. http://dx.doi.org/10.1049/ip-com:20050346.

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45

Bahceci, I., and T. M. Duman. "Combined turbo coding and unitary space-time modulation." IEEE Transactions on Communications 50, no. 8 (August 2002): 1244–49. http://dx.doi.org/10.1109/tcomm.2002.801484.

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46

Abou-Rjeily, C., N. Daniele, and B. Belfiore. "Space–Time Coding for Multiuser Ultra-Wideband Communications." IEEE Transactions on Communications 54, no. 8 (August 2006): 1514. http://dx.doi.org/10.1109/tcomm.2006.878807.

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47

Abou-Rjeily, Chadi, Norbert Daniele, and Jean-Claude Belfiore. "Space–Time Coding for Multiuser Ultra-Wideband Communications." IEEE Transactions on Communications 54, no. 11 (November 2006): 1960–72. http://dx.doi.org/10.1109/tcomm.2006.884830.

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48

Gore, D. A., and A. J. Paulraj. "MIMO antenna subset selection with space-time coding." IEEE Transactions on Signal Processing 50, no. 10 (October 2002): 2580–88. http://dx.doi.org/10.1109/tsp.2002.803337.

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49

Diggavi, S. N., N. Al-Dhahir, A. Stamoulis, and A. R. Calderbank. "Differential space-time coding for frequency-selective channels." IEEE Communications Letters 6, no. 6 (June 2002): 253–55. http://dx.doi.org/10.1109/lcomm.2002.1010872.

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50

Xun Shao and Jinhong Yuan. "A new differential space-time block coding scheme." IEEE Communications Letters 7, no. 9 (September 2003): 437–39. http://dx.doi.org/10.1109/lcomm.2003.817301.

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