Relevant bibliographies by topics / Channel Estimation

Academic literature on the topic 'Channel Estimation'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Channel Estimation"

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Qiao, Gang, Zeeshan Babar, Lu Ma, and Xue Li. "Cost Function based Soft Feedback Iterative Channel Estimation in OFDM Underwater Acoustic Communication." Infocommunications journal, no. 1 (2019): 29–37. http://dx.doi.org/10.36244/icj.2019.1.4.

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Underwater Acoustic (UWA) communication is mainly characterized by bandwidth limited complex UWA channels. Orthogonal Frequency Division Multiplexing (OFDM) solves the bandwidth problem and an efficient channel estimation scheme estimates the channel parameters. Iterative channel estimation refines the channel estimation by reducing the number of pilots and coupling the channel estimator with channel decoder. This paper proposes an iterative receiver for OFDM UWA communication, based on a novel cost function threshold driven soft decision feedback iterative channel technique. The receiver exploits orthogonal matching pursuit (OMP) channel estimation and low density parity check (LDPC) coding techniques after comparing different channel estimation and coding schemes. The performance of the proposed receiver is verified by simulations as well as sea experiments. Furthermore, the proposed iterative receiver is compared with other non-iterative and soft decision feedback iterative receivers.
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Nowak, Thorsten, and Andreas Eidloth. "Dynamic multipath mitigation applying unscented Kalman filters in local positioning systems." International Journal of Microwave and Wireless Technologies 3, no. 3 (March 25, 2011): 365–72. http://dx.doi.org/10.1017/s1759078711000274.

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Multipath propagation is still one of the major problems in local positioning systems today. Especially in indoor environments, the received signals are disturbed by blockages and reflections. This can lead to a large bias in the user's time-of-arrival (TOA) value. Thus multipath is the most dominant error source for positioning. In order to improve the positioning performance in multipath environments, recent multipath mitigation algorithms based upon the concept of sequential Bayesian estimation are used. The presented approach tries to overcome the multipath problem by estimating the channel dynamics, using unscented Kalman filters (UKF). Simulations on artificial and measured channels from indoor as well as outdoor environments show the profit of the proposed estimator model. Furthermore, the quality of channel estimation applying the UKF and the channel sounding capabilities of the estimator are shown.
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Wang, Yanyan, and Yingsong Li. "Sparse Multipath Channel Estimation Using Norm Combination Constrained Set-Membership NLMS Algorithms." Wireless Communications and Mobile Computing 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8140702.

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A norm combination penalized set-membership NLMS algorithm with l0 and l1 independently constrained, which is denoted as l0 and l1 independently constrained set-membership (SM) NLMS (L0L1SM-NLMS) algorithm, is presented for sparse adaptive multipath channel estimations. The L0L1SM-NLMS algorithm with fast convergence and small estimation error is implemented by independently exerting penalties on the channel coefficients via controlling the large group and small group channel coefficients which are implemented by l0 and l1 norm constraints, respectively. Additionally, a further improved L0L1SM-NLMS algorithm denoted as reweighted L0L1SM-NLMS (RL0L1SM-NLMS) algorithm is presented via integrating a reweighting factor into our L0L1SM-NLMS algorithm to properly adjust the zero-attracting capabilities. Our developed RL0L1SM-NLMS algorithm provides a better estimation behavior than the presented L0L1SM-NLMS algorithm for implementing an estimation on sparse channels. The estimation performance of the L0L1SM-NLMS and RL0L1SM-NLMS algorithms is obtained for estimating sparse channels. The achieved simulation results show that our L0L1SM- and RL0L1SM-NLMS algorithms are superior to the traditional LMS, NLMS, SM-NLMS, ZA-LMS, RZA-LMS, and ZA-, RZA-, ZASM-, and RZASM-NLMS algorithms in terms of the convergence speed and steady-state performance.
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He, Ruixuan, Xiaoran Liu, Kai Mei, Guangwei Gong, Jun Xiong, and Jibo Wei. "Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems." Entropy 24, no. 11 (November 15, 2022): 1664. http://dx.doi.org/10.3390/e24111664.

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The power-delay profile (PDP) estimation of wireless channels is an important step to generate a channel correlation matrix for channel linear minimum mean square error (LMMSE) estimation. Estimated channel frequency response can be used to obtain time dispersion characteristics that can be exploited by adaptive orthogonal frequency division multiplexing (OFDM) systems. In this paper, a joint estimator for PDP and LMMSE channel estimation is proposed. For LMMSE channel estimation, we apply a candidate set of frequency-domain channel correlation functions (CCF) and select the one that best matches the current channel to construct the channel correlation matrix. The initial candidate set is generated based on the traditional CCF calculation method for different scenarios. Then, the result of channel estimation is used as an input for the PDP estimation whereas the estimated PDP is further used to update the candidate channel correlation matrix. The enhancement of LMMSE channel estimation and PDP estimation can be achieved by the iterative joint estimation procedure. Analysis and simulation results show that in different communication scenarios, the PDP estimation error of the proposed method can approach the Cramér–Rao lower bound (CRLB) after a finite number of iterations. Moreover, the mean square error of channel estimation is close to the performance of accurate PDP-assisted LMMSE.
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Hussein, Walaa, Kamil Audah, N. K. Noordin, Habib Kraiem, Aymen Flah, Mohd Fadlee, and Alyani Ismail. "Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems." International Transactions on Electrical Energy Systems 2023 (August 29, 2023): 1–23. http://dx.doi.org/10.1155/2023/5547634.

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In cellular wireless communication systems, channel estimation (CE) plays a pivotal role as a crucial technique applied in orthogonal frequency division multiplexing (OFDM) modulation. CE utilizes a variety of methods, including decision-directed channel estimation, pilot-assisted channel estimation (PACE), and blind channel estimation. Among these options, PACE is widely favored for its remarkable stability and consistent superior performance. The idea of massive multiple-input multiple-output (MIMO) shows tremendous potential for the future of wireless communications. However, existing massive MIMO systems face challenges with their high computational complexity and intricate spatial structures, preventing efficient utilization of channel and sparsity features in these multiantenna systems. In communication channels, the signal received is often influenced by the characteristics of the channel and noise present at the receiver. To address this issue, an efficient dataset is utilized, employing the least square (LS) algorithm for minimization. OFDM is a commonly and widely used modulation method in communication systems utilized to specifically combat resonance fading in wireless channels. In wireless communication systems employing OFDM-MIMO, frequency selectivity and time-varying attributes due to multipath channels cause Intercarrier Interference (ICI) among symbols. Channel estimation is a vital aspect for mitigating the effects of fading channels. This investigation focuses on the application of a method examined in the study, which involves a block-type pilot symbol-assisted estimation technique for Rayleigh and Rician fading channel models. The research assesses the performance of the least square (LS) channel estimators in fast-fading channel models while employing various symbol mapping techniques focusing on bit error rate, throughput, and mean square error. The results indicate that the LS estimator exhibits excellent performance in Rayleigh and AWGN channels within the pedestrian A (PedA) model for both uplink and downlink scenarios. It outperforms the PedA model without channel estimation.
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Essai Ali, Mohamed Hassan, Ali R. Abdellah, Hany A. Atallah, Gehad Safwat Ahmed, Ammar Muthanna, and Andrey Koucheryavy. "Deep Learning Peephole LSTM Neural Network-Based Channel State Estimators for OFDM 5G and Beyond Networks." Mathematics 11, no. 15 (August 2, 2023): 3386. http://dx.doi.org/10.3390/math11153386.

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This study uses deep learning (DL) techniques for pilot-based channel estimation in orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot-symbol-aided OFDM systems suffer from performance degradation, especially in low signal-to-noise ratio (SNR) regions, due to noise amplification in the estimation process, intercarrier interference, a lack of primary channel data, and poor performance with few pilots, although they exhibit lower complexity and require implicit knowledge of the channel statistics. A new method for estimating channels using DL with peephole long short-term memory (peephole LSTM) is proposed. The proposed peephole LSTM-based channel state estimator is deployed online after offline training with generated datasets to track channel parameters, which enables robust recovery of transmitted data. A comparison is made between the proposed estimator and conventional LSTM and GRU-based channel state estimators using three different DL optimization techniques. Due to the outstanding learning and generalization properties of the DL-based peephole LSTM model, the suggested estimator significantly outperforms the conventional least square (LS) and minimum mean square error (MMSE) estimators, especially with a few pilots. The suggested estimator can be used without prior information on channel statistics. For this reason, it seems promising that the proposed estimator can be used to estimate the channel states of an OFDM communication system.
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Yang, Zhuo, Yiru Inoue, Jian Wan, and Lei Chen. "Channel Parameters Identification Based on IMM Algorithm for Variant Correlation Channel." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/137528.

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In wireless communication systems, correct knowledge of the correlation of a fading channel is essential for channel estimation. Both the reliability of the estimated channel impulse response (CIR) and the adjustment of an adaptive communication system need the accurate correlation information, which is difficult to identify especially when changing. By modeling the fading channel as a hybrid dynamic system, a channel estimation algorithm based on Interacting Multiple Model (IMM) is presented with the consideration of time-variant channel correlation. Applying the IMM algorithm, the proposed channel estimator can identify the channel correlation. With the accurate information of channel correlation, the proposed algorithm is capable of performing accurate estimation on the fading wireless channel with time-variant or time-invariant correlation. Our simulations demonstrate that the IMM based channel estimation algorithm has good performance in estimating CIR as well as in identifying the channel correlation.
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Kim, Tae-Kyoung, and Moonsik Min. "Reinforcement Learning-Aided Channel Estimator in Time-Varying MIMO Systems." Sensors 23, no. 12 (June 18, 2023): 5689. http://dx.doi.org/10.3390/s23125689.

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This paper proposes a reinforcement learning-aided channel estimator for time-varying multi-input multi-output systems. The basic concept of the proposed channel estimator is the selection of the detected data symbol in the data-aided channel estimation. To achieve the selection successfully, we first formulate an optimization problem to minimize the data-aided channel estimation error. However, in time-varying channels, the optimal solution is difficult to derive because of its computational complexity and the time-varying nature of the channel. To address these difficulties, we consider a sequential selection for the detected symbols and a refinement for the selected symbols. A Markov decision process is formulated for sequential selection, and a reinforcement learning algorithm that efficiently computes the optimal policy is proposed with state element refinement. Simulation results demonstrate that the proposed channel estimator outperforms conventional channel estimators by efficiently capturing the variation of the channels.
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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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Nguyen-Duc, Quang, Lien Pham-Hong, Thang Nguyen-Manh, and Tra Luu-Thanh. "A Combined Algorithm of Kalman Estimator and Guard Interval Optimization for Mobile WiMAX." International Journal of Distributed Systems and Technologies 4, no. 1 (January 2013): 16–28. http://dx.doi.org/10.4018/jdst.2013010102.

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Mobile WiMAX (Worldwide Interoperability for Microwave Access) system has been recently applied widely in wireless communication systems. In this paper, the channel estimation algorithms were studied for the mobile WiMAX system. The comb-type pilot was used for channel estimation algorithms. The authors proposed an adaptive algorithm of channel estimation based on Kalman filter which had good performance in fading channels. Then, based on the result of channel estimation, we proposed an advanced algorithm of GI (Guard Interval) optimization. The results showed that the Kalman estimator combined with GI optimization algorithm showed the best performance in this paper. This algorithm was verified by computer simulation.
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Dissertations / Theses on the topic "Channel Estimation"

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Kane, Roma. "Multiuser TDMA channel estimation." Diss., Columbia, Mo. : University of Missouri-Columbia, 2004. http://hdl.handle.net/10355/5810.

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Thesis (M.S.)--University of Missouri-Columbia, 2004.
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 (June 30, 2006) Vita. Includes bibliographical references.
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Song, Limeng. "ATSC DTV Channel Estimation." Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26235/26235.pdf.

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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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Potter, Chris. "Modeling Channel Estimation Error in Continuously Varying MIMO Channels." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604490.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada
The accuracy of channel estimation plays a crucial role in the demodulation of data symbols sent across an unknown wireless medium. In this work a new analytical expression for the channel estimation error of a multiple input multiple output (MIMO) system is obtained when the wireless medium is continuously changing in the temporal domain. Numerical examples are provided to illustrate our findings.
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Khan, Anwer Ali. "Iterative Decoding and Channel Estimation over Hidden Markov Fading Channels." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/32470.

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Since the 1950s, hidden Markov models (HMMS) have seen widespread use in electrical engineering. Foremost has been their use in speech processing, pattern recognition, artificial intelligence, queuing theory, and communications theory. However, recent years have witnessed a renaissance in the application of HMMs to the analysis and simulation of digital communication systems. Typical applications have included signal estimation, frequency tracking, equalization, burst error characterization, and transmit power control. Of special significance to this thesis, however, has been the use of HMMs to model fading channels typical of wireless communications. This variegated use of HMMs is fueled by their ability to model time-varying systems with memory, their ability to yield closed form solutions to otherwise intractable analytic problems, and their ability to help facilitate simple hardware and/or software based implementations of simulation test-beds.

The aim of this thesis is to employ and exploit hidden Markov fading models within an iterative (turbo) decoding framework. Of particular importance is the problem of channel estimation, which is vital for realizing the large coding gains inherent in turbo coded schemes. This thesis shows that a Markov fading channel (MFC) can be conceptualized as a trellis, and that the transmission of a sequence over a MFC can be viewed as a trellis encoding process much like convolutional encoding. The thesis demonstrates that either maximum likelihood sequence estimation (MLSE) algorithms or maximum a posteriori (MAP) algorithms operating over the trellis defined by the MFC can be used for channel estimation. Furthermore, the thesis illustrates sequential and decision-directed techniques for using the aforementioned trellis based channel estimators en masse with an iterative decoder.


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Dessalermos, Spyridon. "Undersea acoustic propagation channel estimation." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FDessalermos.pdf.

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Thesis (M.S. in Electrical Engineering and M.S. in Applied Physics)--Naval Postgraduate School, June 2005.
Thesis Advisor(s): Joseph Rice, Roberto Cristi. Includes bibliographical references (p. 117-119). Also available online.
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Gurel, Ilker. "Channel Estimation For Ofdm Systems." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606940/index.pdf.

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In this thesis, various pilot symbol aided channel estimation and tracking methods are investigated and their performances are compared for an OFDM system with packet based communication on HF channel. For the HF channel, Watterson HF channel model is used. The compared methods are least squares (LS) channel estimation, linear minimum mean square error (LMMSE) channel estimation, least mean squares (LMS) channel tracking, recursive least squares (RLS) channel tracking, constant position model based Kalman filter channel tracking, and constant velocity model based Kalman filter channel tracking. For LMS and RLS methods some adaptive approaches are also investigated.
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Richter, Andreas. "Estimation of radio channel parameters." Ilmenau : ISLE, 2005. http://deposit.d-nb.de/cgi-bin/dokserv?idn=981051421.

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Carroll, Brian Michael. "Analysis of Sparse Channel Estimation." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1244045602.

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Ho, Kenneth T. "Uplink channel estimation in WiMAX." College Park, Md. : University of Maryland, 2008. http://hdl.handle.net/1903/8214.

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Thesis (M.S.) -- University of Maryland, College Park, 2008.
Thesis research directed by: Dept. of Electrical and Computer Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Books on the topic "Channel Estimation"

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Ruprecht, Jürg. Maximum-likelihood estimation of multipath channel. Konstanz: Hartung-Gorre, 1989.

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Casey, Donal. Channel estimation techniques for mobile communications. Dublin: University College Dublin, 1995.

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Gao, Feifei, Chengwen Xing, and Gongpu Wang. Channel Estimation for Physical Layer Network Coding Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11668-6.

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Meyr, Heinrich, Marc Moeneclaey, and Stefan A. Fechtel. Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing. New York, USA: John Wiley & Sons, Inc., 2001. http://dx.doi.org/10.1002/0471200573.

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Jiang, Yufei, Xu Zhu, Eng Gee Lim, Yi Huang, and Hai Lin. Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24984-1.

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Meyr, Heinrich. Digital communication receivers: Synchronization, channel estimation, and signal processing. New York: Wiley, 1998.

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Marc, Moeneclaey, and Fechtel Stefan, eds. Digital communication receivers: Synchronization, channel estimation and signal processing. New York: Wiley, 1997.

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Roth, Donald K. Estimation of flood peaks from channel characteristics in Ohio. Columbus, Ohio: U.S. Dept. of the Interior, Geological Survey, 1986.

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Yin, Xuefeng, and Xiang Cheng. Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2018. http://dx.doi.org/10.1002/9781118188248.

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Uko, Idara D. Space-time block coding and channel estimation using Kalman filter under time-selective fading channels. Ottawa: National Library of Canada, 2003.

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Book chapters on the topic "Channel Estimation"

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Zhang, Ying-Jun Angela, Congmin Fan, and Xiaojun Yuan. "Scalable Channel Estimation." In SpringerBriefs in Electrical and Computer Engineering, 23–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15884-2_3.

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Yang, Jie, Shi Jin, Chao-Kai Wen, and Tao Jiang. "Massive MIMO Channel Estimation." In Encyclopedia of Wireless Networks, 779–84. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_145.

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Gao, Feifei, Chengwen Xing, and Gongpu Wang. "Background on Channel Estimation." In Channel Estimation for Physical Layer Network Coding Systems, 9–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11668-6_2.

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Yang, Jie, Shi Jin, Chao-Kai Wen, and Tao Jiang. "Massive MIMO Channel Estimation." In Encyclopedia of Wireless Networks, 1–5. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_145-1.

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Das, Suvra Sekhar, and Ramjee Prasad. "Channel Estimation in OTFS." In Orthogonal Time Frequency Space Modulation, 139–68. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-6.

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Prasad, Ramjee, Muhammad Imadur Rahman, Suvra Sekhar Das, and Nicola Marchetti. "Channel Estimation and Equalization." In Single- And Multi-Carrier Mimo Transmission for Broadband Wireless Systems, 151–72. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339533-7.

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Ancora, Andrea, Stefania Sesia, and Alex Gorokhov. "Reference Signals and Channel Estimation." In LTE - The UMTS Long Term Evolution, 165–87. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470978504.ch8.

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Maravić, Irena, and Martin Vetterli. "UWB Channel Estimation and Synchronization." In Ultra Wideband Wireless Communication, 11–42. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/9780470042397.ch2.

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Bai, Lin, Jinho Choi, and Quan Yu. "Iterative Channel Estimation and Detection." In Low Complexity MIMO Receivers, 215–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04984-7_9.

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Torrieri, Don. "Systems with Iterative Channel Estimation." In Principles of Spread-Spectrum Communication Systems, 497–543. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9595-7_8.

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Conference papers on the topic "Channel Estimation"

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Shi, J., and M. Ho. "MIMO Broadcast Channels with Channel Estimation." In 2007 IEEE International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/icc.2007.177.

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Ping Wan and Michael McGuire. "Channel estimation in fast fading channels." In 2008 Third International Conference on Communications and Networking in China. IEEE, 2008. http://dx.doi.org/10.1109/chinacom.2008.4685109.

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Senol, Habib, and Cihan Tepedelenlioglu. "Distributed estimation over parallel fading channels with channel estimation error." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518357.

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Senol, Habib, and Cihan Tepedelenlioglu. "Distributed Estimation with Channel Estimation Error over Orthogonal Fading Channels." In 2007 41st Asilomar conference on Signals, Systems and Computers (ACSSC). IEEE, 2007. http://dx.doi.org/10.1109/acssc.2007.4487617.

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Kyuhoon Lee, Ik-Joon Chang, Jinsang Kim, and Seungjoo Lee. "Combined channel estimation." In 2014 International SoC Design Conference (ISOCC). IEEE, 2014. http://dx.doi.org/10.1109/isocc.2014.7087644.

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Wu, Xiaoguang, Guixia Kang, Peng Cao, and Ping Zhang. "Channel Modification Strategy for Capacity of MIMO Channels with Channel Estimation Error." In 2008 IEEE Vehicular Technology Conference (VTC 2008-Spring). IEEE, 2008. http://dx.doi.org/10.1109/vetecs.2008.75.

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Vahidi, Vahid, and Ebrahim Saberinia. "Channel estimation for wideband doubly selective UAS channels." In 2017 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2017. http://dx.doi.org/10.1109/icuas.2017.7991309.

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Aygun, Bengi, and Alkan Soysal. "Fading MIMO relay channels with channel estimation error." In ICC 2013 - 2013 IEEE International Conference on Communications. IEEE, 2013. http://dx.doi.org/10.1109/icc.2013.6655470.

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Nguyen, Tung T., Brian Berscheid, Ha H. Nguyen, and Eric Salt. "Iterative Channel Estimation for DOCSIS 3.1 Uplink Channels." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7841919.

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Cohen, Kfir M., Chen Attias, Barak Farbman, Igor Tselniker, and Yonina C. Eldar. "Channel estimation in UWB channels using compressed sensing." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6853942.

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Reports on the topic "Channel Estimation"

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Satrk, Wayne E. Channel Coding and Estimation for Ultra-Wideband Radios. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada421863.

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Young, Derek P., Michael A. Forman, and Donald Ryan Dowdle. The generation of shared cryptographic keys through channel impulse response estimation at 60 GHz. Office of Scientific and Technical Information (OSTI), September 2010. http://dx.doi.org/10.2172/1008128.

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3

Gandelman, Néstor, and Alejandro Rasteletti. Credit Constraints, Sector Informality and Firm Investments: Evidence from a Panel of Uruguayan Firms. Inter-American Development Bank, March 2013. http://dx.doi.org/10.18235/0011452.

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This paper explores whether the extent of informality in a sector affects a firm's investment decision directly or indirectly through a credit availability channel. The dataset used in the estimation of the econometric models consists of an unbalanced panel of Uruguayan firms for the period 1997-2008. The results suggest that financial restrictions affect investment decisions in Uruguay, as an increase in credit to the private sector translates into higher investment rates. A one percentage point increase in overall credit growth translates into a one half percent increase in investment rates. It is also found that, although there is no direct effect of informality on the firm investment decision, there is an indirect effect through the borrowing channel. More specifically, financial restrictions reduce the amount of investment undertaken by Uruguayan firms, the effect being smaller if the firm operates in a sector with lower informality.
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4

Menéses-González, María Fernanda, Angélica María Lizarazo-Cuéllar, Diego Cuesta-Mora, and Daniel Esteban Osorio-Ramírez. Financial Development and Monetary Policy Transmission. Banco de la República Colombia, November 2022. http://dx.doi.org/10.32468/be.1219.

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This paper estimates the effect of financial development on the transmission of monetary policy. To do so, the paper employs a panel data set containing financial development indicators, policy rates, lending rates, and deposit rates for 43 countries for the period 2000-2019 and applies the empirical strategy of Brandao Marques et al. (2020): firstly, monetary policy shocks are estimated using a Taylor-rule specification that relates changes in the policy rate to inflation, the output gap and other observables that are likely to influencemonetary policy decisions; secondly, the residuals of this estimation (policy shocks) are used in a specification that relates lending or deposit rates to, among others, policy shocks and the interaction between policy shocks and measures of financial development. The coefficient on this interaction term captures the effect of financial development on the relationship between policy shocks and lending or deposit rates. The main findings of the paper are twofold: on the one hand, financial development does strengthen the monetary policy transmission channel to deposit rates; that is, changes in the policy rate in economies with more financial development induce larger changes (in the same direction) in deposit rates than is the case in economies with less financial development. This result is particularly driven by the effect of the development of financial institutions on policy transmission – the effect of financial markets development turns out to be smaller in magnitude. On the other hand, financial development does not strengthen the transmission of monetary policy to lending rates. This is consistent with a credit channel which weakens in the face of financial development in a context where banks cannot easily substitute short-term funding sources. These results highlight the relevance of financial development for the functioning of monetary policy across countries, and possibly imply the necessity of a more active role of monetary authorities in fostering financial development.
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Serneels, Pieter, and Stefan Dercon. Aspirations, Poverty and Education: Evidence from India. Research on Improving Systems of Education (RISE), October 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/053.

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This paper investigates whether aspirations matter for education, which offers a common route out of poverty. We find that mother aspirations are strongly related to the child’s grade achieved at age 18. The relation is nonlinear, suggesting there is a threshold, and depends on caste, household income and the village setting. The coefficients remain large and significant when applying control function estimation, using firstborn son as instrument. A similar strong relation is observed with learning outcomes, including local language, English and maths test results, and with attending school, but not with attending private education. These results are confirmed for outcomes at age 15. The findings provide direct evidence on the contribution of mother aspirations to children’s education outcomes and point to aspirations as a channel of intergenerational mobility. They suggest that education outcomes can be improved more rapidly by taking aspirations into account when targeting education programmes, and through interventions that shape aspirations.
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Kruger, Diana, Marcelo Ochoa, Dante Contreras, and Daniela Zapata. The Role of Social Networks in the Economic Opportunities of Bolivian Women. Inter-American Development Bank, October 2007. http://dx.doi.org/10.18235/0011264.

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This paper explores the role of social networks in determining the participation of Bolivian women in income-generating activities. The empirical analysis intends to explore the impact of this new social variable on the economic choices of women and its relative importance with respect to other individual characteristics, such as education or number of children in the household. The empirical framework defines social network as the average outcome of people living in the same neighborhood. Estimation results suggest that social networks are an effective channel through which women obtain access to salaried jobs, which are of higher quality than jobs as self-employers. In contrast, their male counterparts find a positive but statistically insignificant effect from social networks. When considering the sex of the contact, it is found that women in urban areas benefit from other women being employed, while in rural areas women benefit from the presence of more employed male workers.
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Behrman, Jere R., Nancy Birdsall, and Miguel Székely. Economics Reform and Wage Differentials in Latin America. Inter-American Development Bank, October 2000. http://dx.doi.org/10.18235/0010785.

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This paper develops and applies a new approach to the estimation of the impact of economy-wide reforms on wage differentials, using a new high-quality data set on wage differentials by schooling level for 18 Latin American countries for the period 1980-1998. The results indicate that reform overall has had a short-run disequalizing effect of expanding wage differentials, although this effect tends to fade over time. This disequalizing effect is due to the strong impact of domestic financial market reform, capital account liberalization and tax reform. On the other hand, privatization contributed to narrowing wage differentials, and trade openness had no effect on wage differentials. Technological progress, rather than trade flows, appears to be a channel through which reforms are affecting inequality. The paper also explores the effects of reforms on wage levels; tentative results suggest that reforms have had a positive effect on real average wages, but a negative effect on the wages of less-schooled workers. Keywords: reform, inequality, wages, trade, distribution
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8

Dickens, Brian, and Eric Byrd. Programs to Estimate UV Dosage and Damage. National Institute of Standards and Technology, September 1999. http://dx.doi.org/10.6028/nist.ir.7500.

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The system of programs described in this paper is concerned with estimating the damage ensuing from exposure of specimens in dry and humid atmospheres to UV and visible radiation covering the solar range. Damage is monitored quantitatively by changes in IR spectra. The dose is estimated from UV spectra of the lamps and the interference filters (used to isolate a particular wavelength range). The dosage is estimated from the dose and the UV absorption of the specimens themselves. These programs allow rapid estimation of dosage and damage from regions of data, and manipulation and processing of the massive amounts of data required to carry out such comprehensive tests in a complete yet user-friendly manner.
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9

Hamada, Yuki, Leroy Walston, and John Hayse. Estimating Channel Width for the Middle Green River Using Remote Sensing. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1922061.

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10

Bonhomme, Stéphane, and Angela Denis. Estimating individual responses when tomorrow matters. Madrid: Banco de España, February 2024. http://dx.doi.org/10.53479/36092.

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We propose a regression-based approach to estimate how individuals’ expectations influence their responses to a counterfactual change. We provide conditions under which average partial effects based on regression estimates recover structural effects. We propose a practical three-step estimation method that relies on subjective beliefs data. We illustrate our approach in a model of consumption and saving, focusing on the impact of an income tax that not only changes current income but also affects beliefs about future income. Applying our approach to Italian survey data, we find that individuals’ beliefs matter for evaluating the impact of tax policies on consumption decisions.
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