Relevant bibliographies by topics / Turbo-equalization

Academic literature on the topic 'Turbo-equalization'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Turbo-equalization"

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Koetter, R., A. C. Singer, and M. Tuchler. "Turbo equalization." IEEE Signal Processing Magazine 21, no. 1 (January 2004): 67–80. http://dx.doi.org/10.1109/msp.2004.1267050.

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Raphaeli, D., and Y. Zarai. "Combined turbo equalization and turbo decoding." IEEE Communications Letters 2, no. 4 (April 1998): 107–9. http://dx.doi.org/10.1109/4234.664220.

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Jafri, Atif Raza, Amer Baghdadi, and Michel Jezequel. "Parallel MIMO Turbo Equalization." IEEE Communications Letters 15, no. 3 (March 2011): 290–92. http://dx.doi.org/10.1109/lcomm.2011.011311.102109.

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Tuchler, Michael, and Andrew C. Singer. "Turbo Equalization: An Overview." IEEE Transactions on Information Theory 57, no. 2 (February 2011): 920–52. http://dx.doi.org/10.1109/tit.2010.2096033.

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Jiang, S., L. Ping, H. Sun, and C. S. Leung. "Modified LMMSE Turbo Equalization." IEEE Communications Letters 8, no. 3 (March 2004): 174–76. http://dx.doi.org/10.1109/lcomm.2004.823434.

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Siegrist, M., T. Schorr, A. Dittrich, W. Sauer-Greff, and R. Urbansky. "Turbo Equalization Of Nonlinear ISI-channels Using High Rate FEC Codes." Advances in Radio Science 3 (May 12, 2005): 259–63. http://dx.doi.org/10.5194/ars-3-259-2005.

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Abstract. Turbo equalization is a widely known method to cope with low signal to noise ratio (SNR) channels corrupted by linear intersymbol interference (ISI) (Berrou and Galvieux, 1993; Hagenauer et al., 1997). Recently in this workshop it was reported that also for nonlinear channels a remarkable turbo decoding gain can be achieved (Siegrist et al., 2001). However, the classical turbo equalization relies on code rates at 1/3 up to 1/2 which makes it quite unattractive for high rate data transmission. Considering the potential of iterative equalization and decoding, we obtain a considerable turbo decoding gain also for high rate codes of less than 7% redundancy by using punctured convolutional codes and block codes.
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Sun, Lin, Mei Wang, Guoheng Zhang, Haisen Li, and Lan Huang. "Filtered Multitone Modulation Underwater Acoustic Communications Using Low-Complexity Channel-Estimation-Based MMSE Turbo Equalization." Sensors 19, no. 12 (June 17, 2019): 2714. http://dx.doi.org/10.3390/s19122714.

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Filtered multitone (FMT) modulation divides the communication band into several subbands to shorten the span of symbols affected by multipath in underwater acoustic (UWA) communications. However, there is still intersymbol interference (ISI) in each subband of FMT modulation degrading communication performance. Therefore, ISI suppression techniques must be applied to FMT modulation UWA communications. The suppression performance of traditional adaptive equalization methods often exploited in FMT modulation UWA communications is limited when the effect of ISI spans tens of symbols or large constellation sizes are used. Turbo equalization consisting of adaptive equalization and channel decoding can improve equalization performance through information exchanging and iterative processes. To overcome the shortcoming of traditional minimum mean square error (MMSE) equalization and effectively suppress the ISI with relatively low computation complexity, an FMT modulation UWA communication using low-complexity channel-estimation-based (CE-based) MMSE turbo equalization is proposed in this paper. In the proposed method, turbo equalization is first exploited to suppress the ISI in FMT modulation UWA communications, and the equalizer coefficients of turbo equalization are adjusted using the low-complexity CE-based MMSE algorithm. The proposed method is analyzed in theory and verified by simulation analysis and real data collected in the experiment carried out in a pool with multipath propagation. The results demonstrate that the proposed method can achieve better communication performance with a higher bit rate than the FMT modulation UWA communication using traditional MMSE adaptive equalization.
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Laot, C., A. Glavieux, and J. Labat. "Turbo equalization: adaptive equalization and channel decoding jointly optimized." IEEE Journal on Selected Areas in Communications 19, no. 9 (2001): 1744–52. http://dx.doi.org/10.1109/49.947038.

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Sun, Lin, and Haisen Li. "Multiple-Input-Multiple-Output Filtered Multitone Time Reversal Acoustic Communications Using Direct Adaptation-Based Turbo Equalization." Sensors 23, no. 13 (July 1, 2023): 6081. http://dx.doi.org/10.3390/s23136081.

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This paper proposes using direct adaptation (DA)-based turbo equalization in multiple-input-multiple-output (MIMO) filtered multitone (FMT) time reversal (TR) acoustic communications to jointly suppress noise, residual co-channel interference (CCI) and intersymbol interference (ISI) after the TR process. Soft information-based adaptive decision feedback equalization (ADFE) adjusted according to the recursive expected least squares (RELS) algorithm, including interference cancellation and decoding, is used to construct the DA-based turbo equalization. In the proposed method, soft information is exchanged between soft symbols with soft decisions of decoding iteratively, and interference suppression is proceeded successively and iteratively until the performance is stable. The principle of the proposed method is analyzed, and based on the acoustic channel responses measured in a real experiment, the performance is assessed in relation to that of anther two methods. Compared with the MIMO-FMT TR underwater acoustic communication using interference suppression without error control coding (ECC), the proposed method performs better, benefitting from the ECC included in turbo equalization. Additionally, compared with the MIMO-FMT TR underwater acoustic communication using interference suppression based on hard decision equalization and decoding, the proposed method exhibits superior performance by exploiting soft information.
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JIN, Yi-dan, Feng ZHANG, and Wei-ling WU. "Reduced-Complexity Turbo Equalization for Turbo Coded MIMO/OFDM Systems." Journal of China Universities of Posts and Telecommunications 13, no. 1 (March 2006): 93–98. http://dx.doi.org/10.1016/s1005-8885(07)60090-9.

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Dissertations / Theses on the topic "Turbo-equalization"

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Konuskan, Cagatay. "Turbo Equalization for HSPA." Thesis, Linköping University, Department of Electrical Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54640.

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New high quality mobile telecommunication services are offered everyday and the demand for higher data rates is continuously increasing. To maximize the uplink throughput in HSPA when transmission is propagated through a dispersive channel causing self-interference, equalizers are used. One interesting solution, where the equalizer and decoder exchange information in an iterative way, for improving the equalizer performance is Turbo equalization.

In this thesis a literature survey has been performed on Turbo equalization methods and a chosen method has been implemented for the uplink HSPA standard to evaluate the performance in heavily dispersive channels. The selected algorithm has been adapted for multiple receiving antennas, oversampled processing and HARQ retransmissions. The results derived from the computer based link simulations show that the implemented algorithm provide a gain of approximately 0.5 dB when performing up to 7 Turbo equalization iterations. Gains up to 1 dB have been obtained by disabling power control, not using retransmission combining and utilizing a single receiver antenna. The algorithm has also been evaluated considering alternative dispersive channels, Log-MAP decoding, different code rates, number of Turbo equalization iterations and number of Turbo decoding iterations.

The simulation results do not motivate a real implementation of the chosen algorithm considering the increased computational complexity and small gain achieved in a full featured receiver system. Further studies are needed before concluding the HSPA uplink Turbo equalization approach.

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Lee, Kah Ping. "Turbo equalization in wireless communication." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/5844.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 11, 2006) Includes bibliographical references.
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Kurkoski, Brian M. "Algorithms and schedules for turbo equalization /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3137222.

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Monfet, Frederic. "Turbo equalization using frequency-domain shortening filter." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99527.

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Turbo equalization provides excellent performance but the complexity associated with this technique prohibits its use in application with severe inter-symbol interference (ISI) channel; the turbo equalizer complexity increases exponentially with the length of the channel impulse response (CIR) and the modulation level used for data transmission. In this work, a combined frequency-domain pre-equalizer with a turbo equalizer is proposed in an attempt to reduce the length of the CIR used by the turbo equalizer and hence the complexity of the receiver. The optimum selection of coefficients of the frequency-domain pre-equalizer and desired channel impulse response is discussed. With the proposed receiver, the complexity of the turbo equalizer can be controlled by pre-selecting the length of the desired channel impulse response. This complexity reduction is achieved at the cost of an increase in the noise level, which degrades the performance. The effect on the performance of such pre-equalizer is studied analytically. The overall performance of the proposed receiver for different length of the desired channel impulse response is studied via analytical comparison and simulation. Simulation results on performance in various frequency-selective fading channels indicate a substantial performance gain when compared to a conventional feed-forward equalizer (FFE) plus decision-feedback equalizer (DFE) receiver. Finally, in cases where a large alphabet is used for modulation, the reduced-search BCJR (Bahl, Cocke, Jelinek, and Raviv) [1] algorithm is utilized in the proposed receiver to further reduce the complexity of the receiver.
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Mysore, Naveen. "Combined turbo coding and turbo equalization for wireless systems with antenna diversity." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33983.

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Emerging wireless communication systems strive for very high data rates, increased coverage and good quality of service. To achieve these goals under harsh conditions on many wireless channels (e.g., due to fading, multipath interference, power constraints and bandwidth limitations), both antenna diversity schemes and channel coding should be utilized.
This thesis focuses on achieving reliable transmission over a class of multi-input multi-output Rayleigh faded channels at very low Signal-to-Noise Ratios (SNRs). The transmitter and receiver designs are based on turbo coding, multiple transmit/receive antennas and turbo equalization. Simulation studies were performed for systems with different coding rates, numbers of antennas and interleaving strategies. They show the ability to achieve small bit error rates (10-4--10-5) for negative values of SNR.
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Oletu, Grace Ogheneruonano. "Turbo coding and equalization for wireless communication systems." Thesis, University of Greenwich, 2013. http://gala.gre.ac.uk/11626/.

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Turbo coding, a forward error correcting coding (FEC) technique, has made near Shannon Limit performance possible when Iterative decoding algorithms are used. Intersymbol interference (ISI) is a major problem in communication systems when information is transmitted through a wireless channel. Conventional approaches implement an equalizer to remove the ISI, but significant performance gain can be achieved through joint equalization and decoding. In this thesis, the suitability of turbo equalization as a means of achieving low bit error rate for high data communication systems over channels with intersymbol interference was investigated. A modified decision feedback equalizer algorithm (DFE) that provides significant improvement when compared with the conventional DFE is proposed. It estimates the data using the a priori information from the SISO channel decoder and also a priori detected data from previous iteration to minimize error propagation. Investigation was also carried out with Iterative decoding with imperfect minimum mean square error (MMSE) decision feedback equalizer, assuming soft outputs from the channel decoder that are independent identically distributed Gaussian random variables. The prefiltering method is considered in this thesis, where an all-pass filter is employed at the receiver before equalization to create a minimum phase overall impulse response. The band limited channel suffers performance degradation due to impulsive noise generated by electrical appliances. This thesis analysed a set of filter design criteria based on minimizing the bit error probability of impulse noise using digital smear filter.
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Shiao, Fu-Sheng. "Combined Channel Estimation and Turbo Equalization for Wireless Channels." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1189.

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Single-carrier linear modulation techniques combined with frequency-domain equalization provide a viable alternative to multicarrier techniques for combating multipath fading in channels with large delay spread. Such modulations tolerate frequency offset and have well controlled peak to average power ratio. They have comparable complexity to orthogonal frequency division multiplexing (OFDM) systems, and are more robust to synchronization errors. If error correction coding is used, then information can be iteratively passed between the equalizer and the decoder to improve performance. This is referred to as turbo equalization. To date, several turbo equalization schemes have been proposed, but little work has been done to address the problem of channel estimation for the turbo equalization process. The work in this thesis considers frequency-domain turbo equalization with imperfect channel state information (CSI) at the receiver for different wireless channels. A receiver structure incorporating joint frequency-domain turbo equalization and time- domain channel estimation is developed. The novelty of this scheme lies in the combination of time-domain channel estimation and frequency-domain turbo equalization, and in its extension to high level modulation formats. The performance of the system is investigated by a combination of analysis and computer simulation. It is found that the system performs well over a range of dispersive channels.
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Chesnutt, Elizabeth. "Novel Turbo Equalization Methods for the Magnetic Recording Channel." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6867.

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Novel Turbo Equalization Methods for the Magnetic Recording Channel Elizabeth Chesnutt 95 Pages Directed by Dr. John R. Barry The topic of this dissertation is the derivation, development, and evaluation of novel turbo equalization techniques that address the colored noise problem on the magnetic recording channel. One new algorithm presented is the noise-predictive BCJR, which is a soft-output detection strategy that mitigates colored noise in partial-response equalized magnetic recording channels. This algorithm can be viewed as a combination of the traditional BCJR algorithm with the notion of survivors and noise prediction. Additionally, an alternative equalization architecture for magnetic recording is presented that addresses the shortcomings of the PRML approach, which dominates magnetic recording. Specifically, trellis-based equalizers are abandoned in favor of simple equalization strategies based on nonlinear filters whose complexity grows only linearly with their length. This research focuses on the linear-complexity SFE algorithm and on investigating the possibility of lowering the SFE filter calculation complexity. The results indicate that with using the proposed novel SFE method, it is possible to increase the information density on magnetic media without raising the complexity. The most important result presented is that partial-response equalization needs to be reconsidered because of the amount of noise enhancement problems that it adds to the overall system. These results are important for the magnetic recording industry, which is trying to attain a 1 Tb/cm2 information storage goal.
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Yildirim, Recep Ali. "Mmse Based Iterative Turbo Equalization For Antenna Switching Systems." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612480/index.pdf.

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In this thesis, we study the performance of an antenna switching (AS) system in comparison to an Alamouti coded system. We analyze the outage probabilities and propose minimum mean-squared error based iterative equalizers for both systems. We see from the outage probability analysis of both systems that the AS system may achieve the same diversity order of the Alamouti coded scheme contingent on the transmission rate and constellation size. In the proposed receiver, MMSE equalization and channel decoding are jointly carried out in an iterative fashion. We use both hard and soft decision channel decoders in our simulations. It is observed that the Alamouti based scheme performs better when the channel state information is perfect. The Alamouti scheme also performs better than the AS scheme when the channel state information is imperfect in hard decision channel decoder case and a random interleaver is used. On the other hand, if a random interleaver is not used, AS scheme performs remarkably better than the Alamouti scheme in hard decision channel decoder case. In a soft decision channel decoder case, when the channel state information is imperfect, the AS scheme performs approximately a 2 dB better than the Alamouti scheme. Moreover, there is approximately a 3 dB performance gain if a soft decision channel decoder is used instead of hard decision.
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Franz, Volker. "Turbo-detection for GSM-systems channel estimation, equalization and decoding /." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=96205772X.

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Book chapters on the topic "Turbo-equalization"

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Regalia, Philip A. "Turbo Equalization." In Adaptive Signal Processing, 143–210. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470575758.ch3.

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Wu, Zining. "Turbo Codes and Turbo Equalization." In Coding and Iterative Detection for Magnetic Recording Channels, 21–46. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4565-1_2.

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Djordjevic, Ivan, William Ryan, and Bane Vasic. "Turbo Equalization in Fiber-Optics Communication Systems." In Coding for Optical Channels, 249–84. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5569-2_7.

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Wu, Zining. "Turbo Decision Aided Equalization for Magnetic Recording Channels." In Coding and Iterative Detection for Magnetic Recording Channels, 71–102. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4565-1_4.

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Yang, Ao-Shuang, Shi-Ming Li, Yi-Jie Wu, Yue-Qi Wang, and Ju-Hao Tan. "Turbo Equalization Technique for Data Link Communication Systems." In Advances in Wireless Communications and Applications, 95–104. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2255-8_10.

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Yu, Zibin, Hangfang Zhao, Wen Xu, and Xianyi Gong. "A Turbo Equalization Based on a Sparse Doubly Spread Acoustic Channels Estimation." In Underwater Acoustics and Ocean Dynamics, 57–61. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2422-1_8.

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Djordjevic, Ivan B. "Codes on Graphs, Coded Modulation and Compensation of Nonlinear Impairments by Turbo Equalization." In Impact of Nonlinearities on Fiber Optic Communications, 451–505. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8139-4_12.

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Liu, Ying, Qinghua Guo, Sheng Tong, Jun Tong, Jiangtao Xi, and Yanguang Yu. "Frequency-Domain Turbo Equalization with Iterative Impulsive Noise Mitigation for Single-Carrier Power-Line Communications." In Wireless Communications, Networking and Applications, 891–902. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2580-5_81.

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"Three-Stage Serially Concatenated Turbo Equalization." In Near-Capacity Variable-Length Coding, 187–222. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470666425.ch5.

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"The turbo principle applied to equalization and detection." In Codes and Turbo Codes, 359–412. Paris: Springer Paris, 2010. http://dx.doi.org/10.1007/978-2-8178-0039-4_11.

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Conference papers on the topic "Turbo-equalization"

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Trajkovic, Vladimir D., Minyue Fu, and Peter J. Schreier. "Turbo Equalization With Irregular Turbo Codes." In 2007 4th International Symposium on Wireless Communication Systems. IEEE, 2007. http://dx.doi.org/10.1109/iswcs.2007.4392320.

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Silva, Edson Porto da, and Metodi Plamenov Yankov. "Adaptive Turbo Equalization of Probabilistically Shaped Constellations." In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofc.2023.th2a.26.

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Fiber nonlinearity compensation of probabilistically shaped constellations with adaptive turbo equalization is investigated for the first time. Potential for more than 100% transmission reach extension is demonstrated by combining probabilistic shaping, single-channel digital backpropagation, and adaptive turbo equalization.
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Trajkovic, Vladimir D., Minyue Fu, and Peter J. Schreier. "Near-capacity turbo equalization using optimized turbo codes." In 2007 Australasian Telecommunication Networks and Applications Conference (ATNAC 2007). IEEE, 2007. http://dx.doi.org/10.1109/atnac.2007.4665276.

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Tao, Jun, Jingxian Wu, Yahong Rosa Zheng, and Chengshan Xiao. "Enhanced MIMO LMMSE Turbo Equalization." In 2010 IEEE Vehicular Technology Conference (VTC 2010-Fall). IEEE, 2010. http://dx.doi.org/10.1109/vetecf.2010.5594081.

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Shaheem, Asri, Hans-Jurgen Zepernick, and Manora Caldera. "Enhanced channel shortened turbo equalization." In 2008 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2008. http://dx.doi.org/10.1109/atc.2008.4760506.

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Mashauri, Mgeni Makambi, and Michael Lentmaier. "Spatial Coupling In Turbo Equalization." In GLOBECOM 2020 - 2020 IEEE Global Communications Conference. IEEE, 2020. http://dx.doi.org/10.1109/globecom42002.2020.9348218.

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Peng, Hua, and Jing Li. "Turbo Equalization in Blind Receiver." In 2010 International Conference on Communications and Intelligence Information Security (ICCIIS). IEEE, 2010. http://dx.doi.org/10.1109/icciis.2010.47.

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Seongwook Song, Singer, and Koeng-Mo Sung. "Turbo equalization with an unknown channel." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005269.

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Song, Seongwook, Andrew C. Singer, and Koeng-Mo Sung. "Turbo equalization with an unknown channel." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745231.

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Kalantarova, Nargiz, Suleyman S. Kozat, and Alper T. Erdogan. "Robust turbo equalization under channel uncertainties." In 2011 IEEE Radio and Wireless Symposium (RWS). IEEE, 2011. http://dx.doi.org/10.1109/rws.2011.5725469.

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