Academic literature on the topic 'Doubly spread channels'

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Journal articles on the topic "Doubly spread channels"

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Zeng, Wen-Jun, and Xue Jiang. "Time reversal communication over doubly spread channels." Journal of the Acoustical Society of America 132, no. 5 (November 2012): 3200–3212. http://dx.doi.org/10.1121/1.4754524.

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Eggen, Trym H., and James C. Preisig. "Underwater acoustic communication over doubly spread channels." Journal of the Acoustical Society of America 101, no. 5 (May 1997): 3157. http://dx.doi.org/10.1121/1.419090.

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Zeng, Wen-Jun, and Xue Jiang. "Time reversal communication over doubly spread channels." Journal of the Acoustical Society of America 134, no. 5 (November 2013): 4033. http://dx.doi.org/10.1121/1.4830726.

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Zhang, Yang, Qunfei Zhang, Chengbing He, and Chao Long. "Channel estimation for OTFS system over doubly spread sparse acoustic channels." China Communications 20, no. 1 (January 2023): 50–65. http://dx.doi.org/10.23919/jcc.2023.01.005.

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Zeng, Wen-Jun, and Wen Xu. "Fast estimation of sparse doubly spread acoustic channels." Journal of the Acoustical Society of America 131, no. 1 (January 2012): 303–17. http://dx.doi.org/10.1121/1.3665992.

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Drumheller, David Mark, and Dennis W. Ricker. "Receiver-transmitter optimization for detection in doubly spread channels." Journal of the Acoustical Society of America 89, no. 4 (April 1991): 1714–23. http://dx.doi.org/10.1121/1.401005.

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Li, Jie, Fangjiong Chen, Songzuo Liu, Hua Yu, and Fei Ji. "Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery." Sensors 19, no. 22 (November 15, 2019): 4976. http://dx.doi.org/10.3390/s19224976.

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In this paper, the estimation of overspread, i.e., doubly spread underwater acoustic (UWA) channels of strong dispersion is considered. We show that although the UWA channel dispersion causes the degeneration of channel sparsity, it leads to a low-rank structure especially when the channel delay-Doppler-spread function is separable in delay and Doppler domain. Therefore, we introduce the low-rank criterion to estimate the UWA channels, which can help to improve the estimation performance in the case of strong dispersion. The estimator is based on the discrete delay-Doppler-spread function representation of channel, and is formulated as a low-rank matrix recovery problem which can be solved by the singular value projection technique. Simulation examples are carried out to demonstrate the effectiveness of the proposed low-rank-based channel estimator.
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McDonald, Vincent K., Richard C. Shockley, Joseph A. Rice, and Dale Green. "Probe signals for obtaining impulse response of doubly‐spread channels." Journal of the Acoustical Society of America 102, no. 5 (November 1997): 3118. http://dx.doi.org/10.1121/1.420575.

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Bhadouria, Vijay Singh, Monika Agrawal, and Ritesh Kumar. "An unsupervised clustering-based scale-lag receiver design approach for the doubly selective underwater acoustic channel." Journal of the Acoustical Society of America 152, no. 1 (July 2022): 342–53. http://dx.doi.org/10.1121/10.0012349.

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This paper details the architecture of a novel scale-lag rake receiver for the doubly selective underwater acoustic (UWA) channel. The shallow UWA channel is known to have a large Doppler spread. The cause of this is primarily due to the large spread of the angle of arrival of the received signal's paths. The Doppler scale value is dependent on the angle of arrival of the received signal. The Doppler spread is significant, and multiple Doppler scales are present in the UWA channel. Therefore, the receivers operating with only a single Doppler scale compensation perform sub-optimally. The optimal receiver should incorporate all possible Doppler scales for better performance. The receiver needs to have multiple sampling rates to incorporate all Doppler scales. It is usually done by having multiple receive channels, one for each sampling rate. It requires tremendous resources as its complexity increases exuberantly. This paper shows that these Doppler scales are clustered and that an optimal receiver is implemented using fewer receiver channels, each corresponding to one such cluster. It reduces the receiver's complexity. The simulation results demonstrate that using the Doppler scale value associated with the path of the highest magnitude per cluster yields the best performance.
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Zeng, Wen-Jun, and Wen Xu. "Low complexity estimation and equalization of doubly spread underwater acoustic channels." Journal of the Acoustical Society of America 131, no. 4 (April 2012): 3275. http://dx.doi.org/10.1121/1.4708244.

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Dissertations / Theses on the topic "Doubly spread channels"

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Dhanoa, Jasdeep Singh. "Acoustic digital communication systems for a doubly spread underwater channel." Thesis, Cranfield University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413403.

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Iltis, Ronald A. "Turbo Equalization for OFDM over the Doubly-Spread Channel using Nonlinear Programming." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595779.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada
OFDM has become the preferred modulation format for a wide range of wireless networks including 802.11g, 802.16e (WiMAX) and 4G LTE. For multipath channels which are time-invariant during an OFDM symbol duration, near-optimal demodulation is achieved using the FFT followed by scalar equalization. However, demodulating OFDM on the doubly-spread channel remains a challenging problem, as time-variations within a symbol generate intercarrier interference. Furthermore, demodulation and channel estimation must be effectively combined with decoding of the LDPC code in the 4G-type system considered here. This paper presents a new Turbo Equalization (TEQ) decoder, detector and channel estimator for OFDM on the doubly-spread channel based on nonlinear programming. We combine the Penalty Gradient Projection TEQ with a MMSE-type channel estimator (PGP-TEQ) that is shown to yield a convergent algorithm. Simulation results are presented comparing conventional MMSE TEQ using the Sum Product Algorithm (MMSE-SPA-TEQ) with the new PGP-TEQ for doubly-spread channels.
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Tsimenidis, Charalampos. "Adaptive array receiver algorithms for DS/CDMA communications through double-spread fading channels." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251341.

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陳彥齊. "EM-Based Algorithm for Joint Channel and Doppler Spread Estimation over Doubly-Selective Fading Channels." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/56706357504467008378.

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Arunkumar, K. P. "Underwater Acoustic Communications: Algorithms for Delay-Scale Spread Wideband Channels." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5923.

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In wideband wireless communication systems, the relative motion of the transmitter, receiver, or scatterers in the medium causes the Doppler effect, which stretches or compresses the transmitted waveforms, resulting in inter-symbol interference and a consequent severe performance degradation. To counter this, specialized transmitter and receiver architectures are needed for energy- and spectrally-efficient communications in channels characterized by path-dependent delays and time-scales. In this thesis, we develop and evaluate improved receiver side signal processing algorithms for two existing modulation schemes used in wideband Underwater Acoustic (UWA) communications. We also propose new modulation schemes suited for wideband delay and scale spread UWA channels. In the first part of the thesis, for the well known Orthogonal Frequency Division Multiplexing (OFDM) waveform, we develop a two-stage iterative algorithm at the receiver that alternates between sparse channel estimation and data detection. Specifically, we consider the sequence of observations from partial interval demodulators (PIDs) using a partial-length Fast Fourier Transform (FFT). We show that the PID outputs help in tracking the channel by providing additional measurements to estimate the Inter-Carrier Interference (ICI) due to the Doppler spread. We also derive the Cram ́er-Rao lower bound on the mean squared error in channel estimation, and empirically show that the two-stage algorithm meets the bound at high SNR. Next, we develop a new Bayesian-inspired data detection algorithm in the context of sweep spread carrier (S2C) communication – a practically successful waveform used in some commercial underwater acoustic modems. The existing schemes for data detection – based on the gradient heterodyne receiver – are only effective when the path delay and Doppler spread are moderate. Based on the principle of variational Bayes’ inference, we present a new variational soft symbol decoding (VSSD) algorithm. In harsh UWA channels where the existing S2C receivers completely fail, or must compromise on the data rate to maintain the bit error rate (BER) performance, the VSSD algorithm successfully recovers the data symbols, even at low signal-to-noise ratios (SNRs). We then turn to developing a new modulation scheme for the wideband doubly spread channel, namely, Orthogonal Delay Scale Space (ODSS), from first principles. The scheme pre-processes the information symbols using a 2D ODSS transform, which performs a discrete Fourier transform on the frequency axis and inverse Mellin transform on the Mellin variable axis, to obtain the transformed symbols in the delay-scale domain. These transformed symbols are mounted onto ODSS modulation waveforms to generate the signal to be transmitted. The pre-processing step spreads the symbols in the delay-scale domain, which in turn improves the bit error rate compared to Orthogonal Time Frequency Space (OTFS) and OFDM in wideband time-varying channels. More importantly, since the ODSS modulation renders the channel matrix near-diagonal, it performs well even under low-complexity subcarrier-by-subcarrier equalization in the delay-scale domain followed by symbol recovery in the Mellin-Fourier domain. Finally, we develop a novel Variable Bandwidth Multicarrier (VBMC) waveform comprising of multiple subcarriers that are constructed from chirp pulses. The chirps occupy progressively increasing, frequency-dependent bandwidth from the lower to upper frequency edge of the communication band. Due to this, the subcarriers maintain their near mutual orthogonality even after passing through a delay and scale spread channel. We compare the performance of VBMC with existing waveforms using a generic framework for modeling delay-scale spread channels that we develop for the first time in this thesis. Overall, this thesis develops advanced receiver processing techniques and novel modulation schemes that greatly outperform the state-of-the-art in wideband delay-scale spread channels, while matching their performance in more benign channels.
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Book chapters on the topic "Doubly spread channels"

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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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SivachandarK., V. Amudha, B. Ramesh, Jose Anand, M. ShanmugaSundari, and Jerril Gilda S. "MIMO-IDMA System Performance for SUI and LTE Frequency Selective Channels." In Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press, 2022. http://dx.doi.org/10.3233/apc220059.

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The spectrum used by Code Division Multiple Access (CDMA) allows for a signal with a greater bandwidth by spreading electromagnetic energy. Multi-Carrier CDMA (MC-CDMA) is a telecommunications numerousentrée strategy that spreads each user symbol across the frequency domain with distinct codes. Cognitive Radio (CR) is a vibrant spectrum admittance enabling technology by dynamically allocating space for fundamental users by modifying its settings and base station. Two models for people on the cognitive spectrum are Opportunistic Spectrum Access (OSA) and Concurrent Spectrum Access (CSA). Using Co-Channel Interference (CCI) and Adjacent Channel Interference (ACI), the MC-CDMA system is an effective accessing strategy for multi-user data transmission (ACI). Multiple-Input Multiple-Output (MIMO) involving Space-Time Transmit Diversity (STTD), Spatial Multiplexing (SM), and collaborative MIMO is used for numerous data communication, and dependable Bit Error Rate (BER) presentation is attained. STBC (Space Time Block Coding) is equipped with two antennas and codes for data transmission across multiple antennas. At the receiver, STBC offers channel state information while maintaining a low level of complexity. The image’s pixels will be shuffled using Arnold’s Cat Map (ACM) encryption method. When compared to other compression methods, Integer Wavelet Transform (IWT) compression is stress-free. The Internet of Things (IoT) is used to examine tracklatency and power stages, STTD MC-CDMA faultoutput utilizing cognitive spectrum, and channel simulated parameterization. The output on fault levels with patient caring using Stanford University Interim (SUI) and Long Term Evolution (LTE) techniques with a Double STTD (DSTTD) assisted MC-CDMA cognitive spectrum system.
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Douglas, Ian. "The Urban Geomorphology of Kuala Lumpur." In The Physical Geography of Southeast Asia. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780199248025.003.0032.

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The city of Kuala Lumpur, lying at the junction of the hills of the Main Range (Banjaran Titiwangsa) of Peninsular Malaysia and the coastal plain, has many of the environmental problems that beset the urban areas of Southeast Asia. It has to cope with heavy, intense rainfalls, frequent local nuisance flooding, unstable hillsides, complex foundation conditions, and the impacts of mining and construction activities. The citizens, engineers, and planners of Kuala Lumpur have had to find ingenious solutions in order to live in harmony with their environment. While careful investigation and skilful applications of science and technology has overcome many of the problems, others remain unresolved. The persistent problems arise because the links, and thus responsibilities, associated with changes in one place and impacts elsewhere are not acknowledged and the available understanding of hydrologic and geomorphic systems is not applied. Founded by Kapitan China Yap Ah Loy at the confluence of the Gombak and Klang Rivers in 1857 as a tin-mining settlement (Gullick 1983), Kuala Lumpur quickly outgrew its floodplain and fluvial terrace site to spread onto the adjacent hills. The British resident, Captain Bloomfield Douglas, moved his headquarters to Kuala Lumpur from Klang in 1880 and soon after built his official residence on the hill to the west of the Gombak River, where the prime minister’s residence now stands. So began a tradition of the elite living on the hills which has persisted to the present day. In December 1881 the new township and the surrounding tin mines were hit by floodwaters (Gullick 1983), so establishing the problem of living with fluvial extremes which still besets the city. Virtually every wet season in the first eighty years of Kuala Lumpur’s existence brought some flooding to the town. The river channels became choked with silt carried down from the mines upstream (Gullick 1983). Record rainfall in December 1926 led to a flood 1 m deep in the town centre. After the floods, a new, wider channel, with a double trapezoidal cross-section was built through the town centre. These works enabled a major flood in 1930 to pass through the town without causing any damage (Gullick 1983).
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Conference papers on the topic "Doubly spread channels"

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Steendam, Heidi. "Multicarrier Parameter Optimization in Doubly Selective Fading Channels with LOS Components." In 2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications. IEEE, 2006. http://dx.doi.org/10.1109/isssta.2006.311740.

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Xu, Wen, Tian Zhou, and Huifang Chen. "A New Approach for Time Reversal Communication over Doubly Spread Channels." In the International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2671490.2674564.

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Yu, Zibin, and Zhuan Xiao. "Generalized sidelobe canceller over doubly spread and multiple access acoustic channels." In OCEANS 2016 - Shanghai. IEEE, 2016. http://dx.doi.org/10.1109/oceansap.2016.7485673.

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Tsimenidis, C. C., B. S. Sharif, O. R. Hinton, and A. E. Adams. "Analysis and modelling of experimental doubly-spread shallow-water acoustic channels." In Oceans 2005 - Europe. IEEE, 2005. http://dx.doi.org/10.1109/oceanse.2005.1513168.

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Kuai, Xiaoyan, Xiaojun Yuan, and Ying-Chang Liang. "Bayesian Message-Passing Based OFDM Receiver for Doubly-Spread Multipath Channels." In 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC). IEEE, 2018. http://dx.doi.org/10.1109/istc.2018.8625372.

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Liu, Chang, Zhi Zhang, Xiao Tang, and Xueliang Liu. "A novel Doppler spread estimator for OFDM systems under doubly selective fading channels." In 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2017. http://dx.doi.org/10.1109/iaeac.2017.8054021.

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Qin, Ye, Shefeng Yan, Zhuqing Yuan, and Lijun Xu. "Grid optimization based methods for estimating and tracking doubly spread underwater acoustic channels." In OCEANS 2016 - Shanghai. IEEE, 2016. http://dx.doi.org/10.1109/oceansap.2016.7485477.

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Dhanoa, Ormondroyd, and Hughes. "An improved digital communication system for doubly-spread underwater acoustic channels using evolutionary algorithms." In Oceans 2003. Celebrating the Past ... Teaming Toward the Future. IEEE, 2003. http://dx.doi.org/10.1109/oceans.2003.178530.

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Gao, Meng, Yue-hong Shen, and Zhi-gang Yuan. "Maximum Doppler spread estimation by tracking the delay-subspace for LOFDM systems in doubly dispersive fading channels." In Signal Processing (WCSP 2009). IEEE, 2009. http://dx.doi.org/10.1109/wcsp.2009.5371597.

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Huang, S. H., T. C. Yang, and W. Xu. "Tracking channel variations in a time-varying doubly-spread underwater acoustic channel." In OCEANS 2015 - MTS/IEEE Washington. IEEE, 2015. http://dx.doi.org/10.23919/oceans.2015.7401848.

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