Relevant bibliographies by topics / Doubly Dispersive Wireless Channels

Academic literature on the topic 'Doubly Dispersive Wireless Channels'

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Published: 6 September 2023

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Journal articles on the topic "Doubly Dispersive Wireless Channels"

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Mattera, Davide, Mario Tanda, and Maurice Bellanger. "Comparing the performance of OFDM and FBMC multicarrier systems in doubly-dispersive wireless channels." Signal Processing 179 (February 2021): 107818. http://dx.doi.org/10.1016/j.sigpro.2020.107818.

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Abushattal, Abdelrahman, Salah Eddine Zegrar, Ayhan Yazgan, and Hüseyin Arslan. "A Comprehensive Experimental Emulation for OTFS Waveform RF-Impairments." Sensors 23, no. 1 (December 21, 2022): 38. http://dx.doi.org/10.3390/s23010038.

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The orthogonal time-frequency space (OTFS) waveform exceeds the challenges that face orthogonal frequency division multiplexing (OFDM) in a high-mobility environment with high time-frequency dispersive channels. Since radio frequency (RF) impairments have a direct impact on waveform behavior, this paper investigates the experimental implementation of RF-impairments that affect OTFS waveform performance and compares them to the OFDM waveform as a benchmark. Firstly, the doubly-dispersive channel effect is analyzed, and then an experimental framework is established for investigating the impact of RF-impairments, including non-linearity, carrier frequency offset (CFO), I/Q imbalances, DC-offset, and phase noise are considered. The experiments were conducted in a real indoor wireless environment using software-defined radio (SDR) at carrier frequencies of 2.4 GHz and 5 GHz based on the Keysight EXG X-Series devices. The comparison of the performances of OFDM and OTFS in the presence of RF-impairments reveals that OTFS significantly outperforms OFDM.
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Solyman, Ahmad AA, Hani Attar, Mohammad R. Khosravi, and Baki Koyuncu. "MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks." International Journal of Distributed Sensor Networks 16, no. 6 (June 2020): 155014772091295. http://dx.doi.org/10.1177/1550147720912950.

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In this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space–time block coding multiple-input single-output/multiple-input multiple-output multicarrier modulation (MCM) system, extended orthogonal space–time block coding multiple-input single-output MCM system, and multiple-input multiple-output system. Moreover, the proposed work is applied over multiple-input multiple-output systems rather than the conventional single-antenna orthogonal chirp division multiplexing systems, based on the discrete fractional cosine transform orthogonal chirp division multiplexing system to mitigate the effect of frequency-selective and time-varying channels, using low-complexity equalizers, specifically by ignoring the intercarrier interference coming from faraway subcarriers and using the LSMR iteration algorithm to decrease the equalization complexity, mainly with long orthogonal chirp division multiplexing symbols, such as the TV symbols. The block diagrams for the proposed systems are provided to simplify the theoretical analysis by making it easier to follow. Simulation results confirm that the proposed multiple-input multiple-output and multiple-input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple-input multiple-output and multiple-input single-output orthogonal frequency division multiplexing systems. Finally, the results show that orthogonal chirp division multiplexing exhibited a better channel energy behavior than classical orthogonal frequency division multiplexing, thus improving the system performance and allowing the system to decrease the equalization complexity.
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Abenov, R. R., E. V. Rogozhnikov, Ya V. Kryukov, D. A. Pokamestov, and P. A. Abenova. "Experimental Study of a Transmission System Based on FBMC/OQAM." Journal of the Russian Universities. Radioelectronics 24, no. 6 (December 29, 2021): 16–26. http://dx.doi.org/10.32603/1993-8985-2021-24-6-16-26.

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Introduction. This paper investigates a transmission system based on FBMC/OQAM multiplexing. This system is characterized by a high spectral efficiency, thereby attracting interest as an alternative transmission method in future wireless mobile communication standards. However, a disadvantage of the system is the high complexity of signal processing. There are numerous publications that study the FBMC/OQAM system from a theoretical perspective. This paper presents an experimental study of a transmission system based on FBMC/OQAM.Aim. Verification of a transmission system based on FBMC/OQAM multiplexing in a wireless channel.Materials and methods. Computer simulation modeling in Matlab and experimental research using Keysight and Rohde & Schwarz certified measuring instruments.Results. A model of synthesis and signal processing was developed, and a frame structure was proposed. The processing included synchronization, since the study was carried out in a wireless double-dispersive channel. Time synchronization was provided by the method of time-domain correlation. A preamble consisting of two symbols was used for CFO compensation. Channel estimation in FBMC/OQAM was conducted by pilot symbols spread over the time-frequency domain, a method with an auxiliary pilot to compensate for intrinsic interference, as well as Zero Forcing and a linear interpolator. As a result, dependences of the bit error rate on the Eb/N0 in various channels were obtained. An error rate of 10−4 was achieved under the Eb/N0 equal to 13.4 dB, 15.3 dB and 20.9 dB in the first, second and third channel, respectively.Conclusion. A FBMC/OQAM-based transmission system with a linear equalizer can operate without a cyclic prefix in a multipath wireless channel, providing comparable noise immunity to OFDM-CP. Long frames should be used to obtain greater spectral efficiency, due to the presence of a transition zone at the beginning and end of the FBMC/OQAM frame.
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Ayadi, Raouia, Inès Kammoun, and Mohamed Siala. "Efficient Offline Waveform Design Using Quincunx/Hexagonal Time-Frequency Lattices." Wireless Communications and Mobile Computing 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/9207108.

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Conventional orthogonal frequency division multiplexing (OFDM) may turn to be inappropriate for future wireless cellular systems services, because of extreme natural and artificial impairments they are expected to generate. Natural impairments result from higher Doppler and delay spreads, while artificial impairments result from multisource transmissions and synchronization relaxation for closed-loop signaling overhead reduction. These severe impairments induce a dramatic loss in orthogonality between subcarriers and OFDM symbols and lead to a strong increase in intercarrier interference (ICI) and intersymbol interference (ISI). To fight against these impairments, we propose here an optimization of the transmit/receive waveforms for filter-bank multicarrier (FBMC) systems, with hexagonal time-frequency (TF) lattices, operating over severe doubly dispersive channels. For this, we exploit the Ping-pong Optimized Pulse Shaping (POPS) paradigm, recently applied to rectangular TF lattices, to design waveforms maximizing the signal-to-interference-plus-noise ratio (SINR) for hexagonal TF lattices. We show that FBMC, with hexagonal lattices, offers a strong improvement in SINR with respect to conventional OFDM and an improvement of around 1 dB with respect to POPS-FBMC, with rectangular lattices. Furthermore, we show that hexagonal POPS-FBMC brings more robustness to frequency synchronization errors and offers a 10 dB reduction in out-of-band (OOB) emissions, with respect to rectangular POPS-FBMC.
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Liu, K., T. Kadous, and A. M. Sayeed. "Orthogonal Time–Frequency Signaling Over Doubly Dispersive Channels." IEEE Transactions on Information Theory 50, no. 11 (November 2004): 2583–603. http://dx.doi.org/10.1109/tit.2004.836931.

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Bomfin, Roberto, Marwa Chafii, Ahmad Nimr, and Gerhard Fettweis. "A Robust Baseband Transceiver Design for Doubly-Dispersive Channels." IEEE Transactions on Wireless Communications 20, no. 8 (August 2021): 4781–96. http://dx.doi.org/10.1109/twc.2021.3062263.

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Kozek, W., and A. F. Molisch. "Nonorthogonal pulseshapes for multicarrier communications in doubly dispersive channels." IEEE Journal on Selected Areas in Communications 16, no. 8 (1998): 1579–89. http://dx.doi.org/10.1109/49.730463.

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Xiaoli Ma and G. B. Giannakis. "Maximum-diversity transmissions over doubly selective wireless channels." IEEE Transactions on Information Theory 49, no. 7 (July 2003): 1832–40. http://dx.doi.org/10.1109/tit.2003.813485.

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Buzzi, Stefano, Luca Venturino, Alessio Zappone, and Antonio De Maio. "Blind User Detection in Doubly Dispersive DS/CDMA Fading Channels." IEEE Transactions on Signal Processing 58, no. 3 (March 2010): 1446–51. http://dx.doi.org/10.1109/tsp.2009.2033001.

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Dissertations / Theses on the topic "Doubly Dispersive Wireless Channels"

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Pachai, Kannu Arun. "Communications over noncoherent doubly selective channels." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1173887288.

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Qaisrani, Muhammad Tariq Nawaz. "Estimation and detection techniques for doubly-selective channels in wireless communications." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/36097.

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A fundamental problem in communications is the estimation of the channel. The signal transmitted through a communications channel undergoes distortions so that it is often received in an unrecognizable form at the receiver. The receiver must expend significant signal processing effort in order to be able to decode the transmit signal from this received signal. This signal processing requires knowledge of how the channel distorts the transmit signal, i.e. channel knowledge. To maintain a reliable link, the channel must be estimated and tracked by the receiver. The estimation of the channel at the receiver often proceeds by transmission of a signal called the 'pilot' which is known a priori to the receiver. The receiver forms its estimate of the transmitted signal based on how this known signal is distorted by the channel, i.e. it estimates the channel from the received signal and the pilot. This design of the pilot is a function of the modulation, the type of training and the channel.
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Hadinejad-Mahram, Hafez [Verfasser]. "Performance of Space-Time Wireless Systems in Dispersive Radio Channels / Hafez Hadinejad-Mahram." Aachen : Shaker, 2004. http://d-nb.info/1172609772/34.

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Song, Liying Tugnait Jitendra K. "Channel estimation and equalization for doubly-selective channels using basis expansion models." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Electrical_and_Computer_Engineering/Dissertation/Song_Liying_29.pdf.

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Hwang, Sung Jun. "Communication over Doubly Selective Channels: Efficient Equalization and Max-Diversity Precoding." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1261506237.

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Liu, Hong. "Frequency-domain equalization of single carrier transmissions over doubly selective channels." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1187064126.

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Das, Sibasish. "Analysis and design of pilot-aided multicarrier systems over doubly selective channels with a local subcarrier processing constraint." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1199305333.

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Liu, Ke. "Orthogonal time-frequency signaling over doubly dispersive channels." 2001. http://catalog.hathitrust.org/api/volumes/oclc/50074253.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 2001.
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 63-65).
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Ehsan, Far Shahab. "Advanced Channel Estimation Techniques for Multiple-Input Multiple-Output Multi-Carrier Systems in Doubly-Dispersive Channels." 2019. https://tud.qucosa.de/id/qucosa%3A38638.

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Flexible numerology of the physical layer has been introduced in the latest release of 5G new radio (NR) and the baseline waveform generation is chosen to be cyclic-prefix based orthogonal frequency division multiplexing (CP-OFDM). Thanks to the narrow subcarrier spacing and low complexity one tap equalization (EQ) of OFDM, it suits well to time-dispersive channels. For the upcoming 5G and beyond use-case scenarios, it is foreseen that the users might experience high mobility conditions. While the frame structure of the 5G NR is designed for long coherence times, the synchronization and channel estimation (CE) procedures are not fully and reliably covered for diverse applications. The research on alternative multi-carrier waveforms has brought up valuable results in terms of spectral efficiency, applications coexistence and flexibility. Nevertheless, the receiver design becomes more challenging for multiple-input multiple-output (MIMO) non-orthogonal multi-carriers because the receiver must deal with multiple dimensions of interference. This thesis aims to deliver accurate pilot-aided estimations of the wireless channel for coherent detection. Considering a MIMO non-orthogonal multi-carrier, e.g. generalized frequency division multiplexing (GFDM), we initially derive the classical and Bayesian estimators for rich multi-path fading channels, where we theoretically assess the choice of pilot design. Moreover, the well time- and frequency-localization of the pilots in non-orthogonal multi-carriers allows to reuse their energy from cyclic-prefix (CP). Taking advantage of this feature, we derive an iterative approach for joint CE and EQ of MIMO systems. Furthermore, exploiting the block-circularity of GFDM, we comprehensively analyze the complexity aspects, and propose a solution for low complexity implementation. Assuming very high mobility use-cases where the channel varies within the symbol duration, further considerations, particularly the channel coherence time must be taken into account. A promising candidate that is fully independent of the multi-carrier choice is unique word (UW) transmission, where the CP of random nature is replaced by a deterministic sequence. This feature, allows per-block synchronization and channel estimation for robust transmission over extremely doubly-dispersive channels. In this thesis, we propose a novel approach to extend the UW-based physical layer design to MIMO systems and we provide an in-depth study of their out-of-band emission, synchronization, CE and EQ procedures. Via theoretical derivations and simulation results, and comparisons with respect to the state-of-the-art CP-OFDM systems, we show that the proposed UW-based frame design facilitates robust transmission over extremely doubly-dispersive channels.:1 Introduction 1 1.1 Multi-Carrier Waveforms 1 1.2 MIMO Systems 3 1.3 Contributions and Thesis Structure 4 1.4 Notations 6 2 State-of-the-art and Fundamentals 9 2.1 Linear Systems and Problem Statement 9 2.2 GFDM Modulation 11 2.3 MIMO Wireless Channel 12 2.4 Classical and Bayesian Channel Estimation in MIMO OFDM Systems 15 2.5 UW-Based Transmission in SISO Systems 17 2.6 Summary 19 3 Channel Estimation for MIMO Non-Orthogonal Waveforms 21 3.1 Classical and Bayesian Channel Estimation in MIMO GFDM Systems 22 3.1.1 MIMO LS Channel Estimation 23 3.1.2 MIMO LMMSE Channel Estimation 24 3.1.3 Simulation Results 25 3.2 Basic Pilot Designs for GFDM Channel Estimation 29 3.2.1 LS/HM Channel Estimation 31 3.2.2 LMMSE Channel Estimation for GFDM 32 3.2.3 Error Characterization 33 3.2.4 Simulation Results 36 3.3 Interference-Free Pilot Insertion for MIMO GFDM Channel Estimation 39 3.3.1 Interference-Free Pilot Insertion 39 3.3.2 Pilot Observation 40 3.3.3 Complexity 41 3.3.4 Simulation Results 41 3.4 Bayesian Pilot- and CP-aided Channel Estimation in MIMO NonOrthogonal Multi-Carriers 45 3.4.1 Review on System Model 46 3.4.2 Single-Input-Single-Output Systems 47 3.4.3 Extension to MIMO 50 3.4.4 Application to GFDM 51 3.4.5 Joint Channel Estimation and Equalization via LMMSE Parallel Interference Cancellation 57 3.4.6 Complexity Analysis 61 3.4.7 Simulation Results 61 3.5 Pilot- and CP-aided Channel Estimation in Time-Varying Scenarios 67 3.5.1 Adaptive Filtering based on Wiener-Hopf Approac 68 3.5.2 Simulation Results 69 3.6 Summary 72 4 Design of UW-Based Transmission for MIMO Multi-Carriers 73 4.1 Frame Design, Efficiency and Overhead Analysis 74 4.1.1 Illustrative Scenario 74 4.1.2 CP vs. UW Efficiency Analysis 76 4.1.3 Numerical Results 77 4.2 Sequences for UW and OOB Radiation 78 4.2.1 Orthogonal Polyphase Sequences 79 4.2.2 Waveform Engineering for UW Sequences combined with GFDM 79 4.2.3 Simulation Results for OOB Emission of UW-GFDM 81 4.3 Synchronization 82 4.3.1 Transmission over a Centralized MIMO Wireless Channel 82 4.3.2 Coarse Time Acquisition 83 4.3.3 CFO Estimation and Removal 85 4.3.4 Fine Time Acquisition 86 4.3.5 Simulation Results 88 4.4 Channel Estimation 92 4.4.1 MIMO UW-based LMMSE CE 92 4.4.2 Adaptive Filtering 93 4.4.3 Circular UW Transmission 94 4.4.4 Simulation Results 95 4.5 Equalization with Imperfect Channel Knowledge 96 4.5.1 UW-Free Equalization 97 4.5.2 Simulation Results 99 4.6 Summary 102 5 Conclusions and Perspectives 103 5.1 Main Outcomes in Short 103 5.2 Open Challenges 105 A Complementary Materials 107 A.1 Linear Algebra Identities 107 A.2 Proof of lower triangular Toeplitz channel matrix being defective 108 A.3 Calculation of noise-plus-interference covariance matrix for Pilot- and CPaided CE 108 A.4 Bock diagonalization of the effective channel for GFDM 109 A.5 Detailed complexity analysis of Sec. 3.4 109 A.6 CRLB derivations for the pdf (4.24) 113 A.7 Proof that (4.45) emulates a circular CIR at the receiver 114
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Chen, Sheng Long, and 陳陞隆. "On the study of parameter estimation for incoherently distributed dispersive wireless channels." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/sfjv46.

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碩士
長庚大學
電機工程學系
105
This study investigates the spatial parameter estimation of massive multiple-input-multiple-output (MIMO) systems. This study uses the unitary estimation of signal parameters via rotational invariance technique (Unitary ESPRIT) algorithm to estimate the nominal direction of arrival (NDOA) and the angular spread of incoherently distributed (ID) channels sources. In addition to having closed-form estimates, the proposed Unitary-ESPRIT algorithm transforms the complex-valued received signal matrices to real-valued ones, and thus largely reduces its computational complexity. Besides, the proposed algorithm uses the total least square (TLS) method to construct the required subspace matrices to increase the estimation accuracy. Moreover, to avoid the eigenvalue pairing process used by conventional 2D-ESPRIT algorithm, this study adapts to choose the dominant eigenvectors of the receive signal matrices to estimate the NDOAs, further mitigating the computational burden. Computer simulations confirm the feasibility of the proposed algorithm.
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Books on the topic "Doubly Dispersive Wireless Channels"

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Silva, Fabio, Rui Dinis, and Paulo Montezuma. Frequency-Domain Receiver Design for Doubly Selective Channels. Taylor & Francis Group, 2017.

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Silva, Fabio, Rui Dinis, and Paulo Montezuma. Frequency-Domain Receiver Design for Doubly Selective Channels. Taylor & Francis Group, 2017.

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Silva, Fabio, Rui Dinis, and Paulo Montezuma. Frequency-Domain Receiver Design for Doubly Selective Channels. Taylor & Francis Group, 2017.

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Silva, Fabio, Rui Dinis, and Paulo Montezuma. Frequency-Domain Receiver Design for Doubly Selective Channels. Taylor & Francis Group, 2017.

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Frequency-Domain Receiver Design for Doubly Selective Channels. Taylor & Francis Group, 2017.

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Silva, Fabio, Rui Dinis, and Paulo Montezuma. Frequency-Domain Receiver Design for Doubly Selective Channels. Taylor & Francis Group, 2019.

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Book chapters on the topic "Doubly Dispersive Wireless Channels"

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Buzzi, Stefano, and Marco Lops. "Code-Aided Blind Multiuser Detection in Dispersive CDMA Channels." In Multiaccess, Mobility and Teletraffic in Wireless Communications: Volume 5, 37–47. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-5916-7_4.

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Song, Zhi Kun, Rui Zhe Yang, Li Zhang, Peng Bo Si, and Yan Hua Zhang. "Multi-model Based Channel Estimation for Doubly Selective Wireless Fading Channels." In Communications in Computer and Information Science, 515–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31965-5_60.

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Petrov, Dmitry, and Timo Hämäläinen. "Better Performance of Mobile Devices in Time Frequency Dispersive Channels Using Well-Localized Bases." In Smart Spaces and Next Generation Wired/Wireless Networking, 188–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22875-9_17.

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Papandreou-Suppappola, Antonia, Cornel Ioana, and Jun Jason Zhang. "Time-Scale and Dispersive Processing for Wideband Time-Varying Channels." In Wireless Communications Over Rapidly Time-Varying Channels, 375–416. Elsevier, 2011. http://dx.doi.org/10.1016/b978-0-12-374483-8.00009-1.

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Conference papers on the topic "Doubly Dispersive Wireless Channels"

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Ali, A. R., A. A. Ali, and A. S. Omar. "A multistage channel estimation and ICI reduction method for OFDM systems in doubly dispersive channels." In 2006 IEEE Radio and Wireless Symposium. IEEE, 2006. http://dx.doi.org/10.1109/rws.2006.1615085.

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Hwang, Sung-Jun, and Philip Schniter. "Efficient Sequence Detection of Multi-Carrier Transmissions Over Doubly Dispersive Channels." In 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications. IEEE, 2006. http://dx.doi.org/10.1109/spawc.2006.346408.

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Mavrokefalidis, C., A. Rontogiannis, E. Kofidis, A. Beikos, and S. Theodoridis. "Efficient adaptive equalization of doubly dispersive channels in MIMO-FBMC/OQAM systems." In 2014 11th International Symposium on Wireless Communications Systems (ISWCS). IEEE, 2014. http://dx.doi.org/10.1109/iswcs.2014.6933367.

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Hussin, Mohamed Nuri, Ahmed A. A. Solyman, Stephan Weiss, and John J. Soraghan. "FrFT-based EO-STBC multicarrier system for transmission over doubly-dispersive channels." In 2012 9th International Symposium on Wireless Communication Systems (ISWCS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iswcs.2012.6328455.

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Buzzi, Stefano, Luca Venturino, Alessio Zappone, and Antonio De Maio. "Blind User Detection and Delay Acquisition in Doubly-Dispersive DS/CDMA Fading Channels." In 2009 IEEE Wireless Communications and Networking Conference. IEEE, 2009. http://dx.doi.org/10.1109/wcnc.2009.4917615.

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Sung-Jun Hwang and Philip Schniter. "Maximum-diversity affine precoding for the noncoherent doubly dispersive channel." In 2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications. IEEE, 2007. http://dx.doi.org/10.1109/spawc.2007.4401400.

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Ehsanfar, Shahab, Klaus Moessner, Abdul Karim Gizzini, and Marwa Chafii. "Performance Comparison of IEEE 802.11p, 802.11bd-draft and a Unique-Word-based PHY in Doubly-Dispersive Channels." In 2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022. http://dx.doi.org/10.1109/wcnc51071.2022.9771810.

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Eiwen, Daniel, Georg Taubock, Franz Hlawatsch, and Hans Georg Feichtinger. "Group sparsity methods for compressive channel estimation in doubly dispersive multicarrier systems." In 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2010). IEEE, 2010. http://dx.doi.org/10.1109/spawc.2010.5670986.

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Matz, Gerald. "Characterization and Analysis of Doubly Dispersive MIMO Channels." In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE, 2006. http://dx.doi.org/10.1109/acssc.2006.354891.

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Hwang, Sung-Jun, and Philip Schniter. "Near-Optimal Noncoherent Sequence Detection for Doubly Dispersive Channels." In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE, 2006. http://dx.doi.org/10.1109/acssc.2006.356600.

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