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Dissertations / Theses on the topic 'Channel equalization'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

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

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2

Lu, Biao. "Wireline channel estimation and equalization /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004324.

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3

Çiftçi, Mahmut. "Channel equalization for chaotic communications systems." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/15464.

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4

COSTA, BERNARDO RODRIGUES DA. "CHANNEL EQUALIZATION IN BLOCK TRANSMISSION SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11845@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A necessidade pela transmissão em altas taxas, por exemplo nos novos sistemas de TV Digital de alta definição, telefonia celular de terceira e quarta geração, DSL e etc, trazem consigo um problema: o aumento dos múltiplos percursos no canal de comunicações (principalmente nas interfaces áereas), dando origem ao fenômeno de interferência intersimbólica (IES). Este trabalho investiga o desempenho de sistemas de transmissão com uma única portadora (SC ou single-carrier) com equalização linear no domínio da freqüência. Diferentes

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5

Gurrapu, Omprakash. "Adaptive filter algorithms for channel equalization." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19219.

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Equalization techniques compensate for the time dispersion introduced bycommunication channels and combat the resulting inter-symbol interference (ISI) effect.Given a channel of unknown impulse response, the purpose of an adaptive equalizer is tooperate on the channel output such that the cascade connection of the channel and theequalizer provides an approximation to an ideal transmission medium. Typically,adaptive equalizers used in digital communications require an initial training period,during which a known data sequence is transmitted. A replica of this sequence is madeavailable at the re

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6

Yao, Ning. "Iterative algorithms for channel estimation and equalization /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202005%20YAO.

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7

Mheidat, Hakam. "Channel Estimation and Equalization for Cooperative Communication." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2852.

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The revolutionary concept of space-time coding introduced in the last decade has demonstrated that the deployment of multiple antennas at the transmitter allows for simultaneous increase in throughput and reliability because of the additional degrees of freedom offered by the spatial dimension of the wireless channel. However, the use of antenna arrays is not practical for deployment in some practical scenarios, e. g. , sensor networks, due to space and power limitations. <br /><br /> A new form of realizing transmit diversity has been recently introduced under the name of user cooper

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8

Jalali, Sammuel. "Wireless Channel Equalization in Digital Communication Systems." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/cgu_etd/42.

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Our modern society has transformed to an information-demanding system, seeking voice, video, and data in quantities that could not be imagined even a decade ago. The mobility of communicators has added more challenges. One of the new challenges is to conceive highly reliable and fast communication system unaffected by the problems caused in the multipath fading wireless channels. Our quest is to remove one of the obstacles in the way of achieving ultimately fast and reliable wireless digital communication, namely Inter-Symbol Interference (ISI), the intensity of which makes the channel noise i

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9

Barron, Richard J. (Richard John). "Channel equalization for self-synchronizing chaotic systems." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38828.

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10

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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11

Aktas, Emre. "Channel estimation and equalization for wireless communication systems in frequency selective channels /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486546889382902.

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12

Leong, Sang-Yick. "Channel modeling, estimation and equalization in wireless communication." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4183.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2005.<br>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 (May 25, 2006) Vita. Includes bibliographical references.

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13

Abrar, Shafayat. "Blind channel equalization and instantaneous blind source separation." Thesis, University of Liverpool, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540044.

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14

Wu, Hai. "A coherent optical equalization based on channel estimation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0032/MQ65528.pdf.

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15

NETO, AUREO SERRANO DE MARINS. "EQUALIZATION AND CHANNEL ESTIMATION IN OFDM TRANSMISSION SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7973@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>crescimento dos sistemas de comunicações móveis celulares e dos sistemas de rádio difusão de sinais de áudio e vídeo tem despertado grande interesse na pesquisa de novos métodos para a transmissão de sinais nestas redes. A necessidade de se transmitir dados em altas taxas, com significante eficiência no uso da largura de faixa de freqüências disponível, e por meio de um canal de propagação ruidoso e variante no tempo, constitui o principal problema para o desenvolvimento de novas técnicas de trasmissão de sinais. Dentro d

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16

Ma, Yi. "Channel estimation and equalization for wireless multicarrier transmissions." Thesis, University of Liverpool, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414844.

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17

Fung, Carrson Chee-Ho. "Eigensystem based techniques for blind channel estimation and equalization /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202005%20FUNG.

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18

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

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19

Zhang, Wen Pian Paul. "Transmitter-induced cyclostationarity for blind channel identification and equalization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0019/MQ49753.pdf.

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20

Nadakuditi, Rajesh Rao. "A channel subspace post-filtering approach to adaptive equalization." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87613.

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Thesis (S.M.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2002.<br>Includes bibliographical references (p. 151-154).<br>by Rajesh Rao Naduditi.<br>S.M.

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21

Williams, Ian E. "Channel Equalization and Spatial Diversity for Aeronautical Telemetry Applications." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605946.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California<br>This work explores aeronautical telemetry communication performance with the SOQPSK- TG ARTM waveforms when frequency-selective multipath corrupts received information symbols. A multi-antenna equalization scheme is presented where each antenna's unique multipath channel is equalized using a pilot-aided optimal linear minimum mean-square error filter. Following independent channe

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22

Allander, Martin. "Channel Equalization Using Machine Learning for Underwater Acoustic Communications." Thesis, Linköpings universitet, Kommunikationssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166643.

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Wireless underwater acoustic (UWA) communications is a developing field with various applications. The underwater acoustic communication channel is very special and its behavior is environment-dependent. The UWA channel is characterized by low available bandwidth, and severe motion-introduced Doppler effectcompared to wireless radio communication. Recent literature suggests that machine learning (ML)-based channel estimation and equalization offer benefits overtraditional techniques (a decision feedback equalizer), in UWA communications. ML can be advantageous due to the difficultly in designi

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23

Lambotharan, Sangarapillai. "Algorithms and structures for adaptive blind equalization." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268038.

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24

Otnes, Roald. "Improved Receivers for Digital High Frequency Communications : Iterative Channel Estimation, Equalization, and Decoding (Adaptive Turbo Equalization)." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-86.

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<p>We address the problem of improving the throughput and the availability of digital communications in the High Frequency (HF, 3-30 MHz) band. In standardized military waveforms, the data is protected by an error-correcting code (ECC), and the code bits are shuffled by an interleaver and mapped onto a signal constellation for modulation onto a single carrier. Training sequences are multiplexed into the stream of transmitted symbols to aid the receiver in tracking the channel variations. The channel imposes severe time-varying intersymbol interference (ISI) as well as additive noise. Conventio

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25

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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26

Yu, Jean Xiang-Qun. "Utilization of inherent diversity for channel coding and equalization algorithms." 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/149389.

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27

Choi, Jongsoo. "Recursive filtering approaches to channel equalization and estimation in communications." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/29283.

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Communication poses challenges in the presence of interference channel environments. In order to attain performance gains, signal processing techniques at the receiver need to detect the most likely transmitted signal based on the knowledge of the received signal, the channel state information and the statistics of noise. This thesis develops such practical schemes based on a Kalman filter framework, assuming that the channel knowledge is unknown to the receiver. The communication contexts addressed in this thesis include the equalization of intersymbol interference (ISI) channels in single-tr

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28

Waseem, Athar, and A. H. M. Sadath Hossain. "MIMO Channel Equalization and Symbol Detection using Multilayer Neural Network." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2345.

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In recent years Multiple Input Multiple Output (MIMO) systems have been employed in wireless communication systems to reach the goals of high data rate. A MIMO use multiple antennas at both transmitting and receiving ends. These antennas communicate with each other on the same frequency band and help in linearly increasing the channel capacity. Due to the multi paths wireless channels face the problem of channel fading which cause Inter Symbol Interference (ISI). Each channel path has an independent path delay, independent path loss or path gain and phase shift, cause deformations in a signal

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29

Cheng, Taikun. "Equalization and coding for the two-dimensional intersymbol interference channel." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Fall2007/t_cheng_113007.pdf.

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30

Stranges, Anthony G. "Blind equalization and fading channel signal recovery of OFDM modulation." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5740.

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Approved for public release; distribution is unlimited.<br>Algorithms for blind equalization and data recovery of orthogonal frequency-division multiplexed (OFDM) signals transmitted through fading channels are implemented and simulated in this thesis. The channel is estimated without knowledge of the transmitted sequence (i.e., blindly) using a least mean squares (LMS) adaptive filter and filter bank precoders. This method was used to estimate channel characteristics using both binary and quadrature phase-shift keying signals. Additionally, the method was analyzed for robustness with a po

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31

Kuchler, Ryan J. "Comparison of channel equalization filtering techniques in underwater acoustic communications." Thesis, Monterey California. Naval Postgraduate School, 2002. http://hdl.handle.net/10945/5887.

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In this thesis, underwater acoustic communications signal processing techniques, which are used to equalize the distortional effects associated with the ocean as a communications channel, are investigated for a shallow water ocean environment. The majority of current signal processing techniques employ a Finite Impulse Response (FIR) filter. Three equalization filters were investigated and presented as alternatives; they were the passive time-reversed filter, the inverse filter, and the Infinite Impulse Response (IIR) filter. The main advantage of the passive time-reversed filter and the inver

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32

Nawaz, Rab. "Low complexity channel shortening and equalization for multi-carrier systems." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/56060/.

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A new time domain blind adaptive channel shortening algorithm for Discrete Multi Tone (DMT)-based multicarrier systems is first proposed. It is computationally less expensive, and more robust to non- Gaussian impulsive noise environments than a recently reported Sum squared Autocorrelation Minimization (SAM) algorithm. A "left" initialization scheme is also suggested for Carrier Serving Area (CSA) loop Asymmetric Digital Subscriber Line (ADSL) channels. Simulation studies show that by a proper selection of the learning parameter i.e., the step size, the bit rates achieved by the SAM algorithm

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33

Fan, Tiange, Kung Yao, and Don Whiteman. "ADAPTIVE EQUALIZATION FOR OQPSK THROUGH A FREQUENCY SELECTIVE FADING CHANNEL." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/606497.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>Spectral sidelobes of QPSK, OQPSK, IJF-OQPSK, and SQAM modulated signals after nonlinear amplification are compared. It is known that OQPSK has lower spectral sidelobes than QPSK. However, in the presence of frequency selective fading, a decision-feedback adaptive equalizer is able to equalize the QPSK signal but not the OQPSK signal. By using phase pre-distortion on the OQPSK waveform before nonlinear amplification, not only is the adaptive equaliz

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34

Kuchler, Ryan J. "Comparison of channel equalization filtering techniquies in underwater acoustic communications." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FKuchler.pdf.

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35

Charalabopoulos, Grigorios. "Radial basis function neural networks for channel equalization and co-channel interference cancellation in OFDM." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416116.

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36

Luschi, Carlo. "Probabilistic techniques for equalization of the mobile radio channel in the presence of co-channel interference." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/12489.

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This thesis studies the problem of soft-output equalization of the mobile radio channel in interference-limited environments, where it is often difficult to obtain an accurate statistical model of the (non-Gaussian) disturbance. The first part of the thesis proposes a new technique for single-channel MAP trellis equalization in the presence of multipath and non-Gaussian interference. The approach is based on the <i>non-parametric </i>estimation of the density function of the overall disturbance by means of <i>kernel smoothing. </i>The work considers the problem of density estimation with limit

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37

Deleu, Thibault. "Digital predistortion and equalization of the non-linear satellite communication channel." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209212.

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In satellite communications, non-linear interference is created by the non-linear power amplifier aboard the satellite. Even in the case of a memoryless power amplifier, the channel is a non-linear system with memory due to the presence of linear filters on ground and aboard the satellite. The non-linear interference degrades the system performance, especially when considering high-order modulations or in case of several signals being amplified by the same power amplifier. In this thesis, we have proposed algorithms at the transmitter and at the receiver to digitally compensate this interferen

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38

Kalla, Sai Chandra Kumari. "Neural networks for optical channel equalization in high speed communication systems." Master's thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/67796.

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La demande future de bande passante pour les données dépassera les capacités des systèmes de communication optique actuels, qui approchent de leurs limites en raison des limitations de la bande passante électrique des composants de l’émetteur. L’interférence intersymbole (ISI) due à cette limitation de bande est le principal facteur de dégradation pour atteindre des débits de données élevés. Dans ce mémoire, nous étudions plusieurs techniques de réseaux neuronaux (NN) pour combattre les limites physiques des composants de l’émetteur pilotés à des débits de données élevés et exploitant les form

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39

Nguyen, Hoang. "The expectation-maximization Viterbi algorithm for blind channel identification and equalization /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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40

Kho, Yau Hee. "MIMO Receiver Structures with Integrated Channel Estimation and Tracking." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/1264.

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This thesis looks at the problem of channel estimation and equalization in a multiple-input multiple-output (MIMO) dispersive fading environments. Two classes of MIMO receiver structure are proposed with integrated channel estimation and tracking. One is a symbol-by-symbol based receiver using a MIMO minimum mean square error (MMSE) decision feedback equalizer (DFE), and the other is a sequence-based receiver using a partitioned Viterbi algorithm (PVA) which approaches the performance of maximum likelihood sequence estimation (MLSE). A MIMO channel estimator capable of tracking the time and fr

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41

Kongara, Gayathri. "Space-Frequency Equalization in Broadband Single Carrier Systems." Thesis, University of Canterbury. Electrical and Computer engineering, 2009. http://hdl.handle.net/10092/4421.

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Broadband wireless access systems can be used to deliver a variety of high data rate applications and services. Many of the channels being considered for such applications exhibit multipath propagation coupled with large delay spreads. Cur- rently, orthogonal frequency division multiplexing is employed in these channels to compensate the effect of dispersion. Single carrier (SC) modulation in conjunc- tion with frequency-domain equalization (FDE) at the receiver has been shown to be a practical alternate solution as it has lower peak to average power ratio and is less sensitive to frequency of

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42

Assegu, Wannaw, and Ibrahim Fofanah. "Performance of Turbo Coded OFDM Modulation over an Aeronautical Channel." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581818.

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The main objectives of Integrated Network Enhanced Telemetry (iNET) are increased data rate and improved spectral efficiency. In this paper we propose the transmission scheme for the physical layer to be coded Quadrature Amplitude Modulation-Orthogonal Frequency Division Multiplexing (QAM OFDM) which enables high data rates and spectrum efficiency. However in high mobility scenarios, the channel is time-varying the receiver design is more challenging. In this paper pilot-assisted channel estimation is used at the receiver, with turbo coding to enhance the performance; while the effect of inter

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Ketonen, J. (Johanna). "Equalization and channel estimation algorithms and implementations for cellular MIMO-OFDM downlink." Doctoral thesis, Oulun yliopisto, 2012. http://urn.fi/urn:isbn:9789514298578.

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Abstract The aim of the thesis is to develop algorithms and architectures to meet the high data rate, low complexity requirements of the future mobile communication systems. Algorithms, architectures and implementations for detection, channel estimation and interference mitigation in the multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) receivers are presented. The performance-complexity trade-offs in different receiver algorithms are studied and the results can be utilized in receiver design as well as in system design. Implementation of detectors for spa

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Baddour, Kareem Emile. "Analysis of optimum diversity combining and equalization for dispersive fading channel communications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0011/MQ36001.pdf.

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Mohanty, Debidutta. "Channel Equalization using GA Family." Thesis, 2008. http://ethesis.nitrkl.ac.in/9/1/thesis-final-dmohanty.pdf.

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High speed data transmissions over communication channels distort the trans- mitted signals in both amplitude and phase due to presence of Inter Symbol Inter- ference (ISI). Other impairments like thermal noise, impulse noise and cross talk also cause further distortions to the received symbols. Adaptive equalization of the digital channels at the receiver removes/reduces the e®ects of such ISIs and attempts to recover the transmitted symbols. Basically an equalizer is an inverse ¯lter which is placed at the front end of the receiver. Its transfer function is inverse to the transfer function o

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莊文仲. "channel equalization based on evolutionary algorithms." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/22621231007409904984.

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Li, zeyou, and 李則佑. "Applying PSO-SVM For Channel Equalization." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/21964865425522112791.

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碩士<br>國立宜蘭大學<br>電機工程學系碩士班<br>100<br>The support vector machine (SVM) is a powerful tool for solving problems with high dimensional, nonlinearly, and is of excellent performance in classification. In this study, we propose SVM as channel equalization. To reconstruct the signal that has the inter symbol interference (ISI) and white Gaussian noise which in high speed communications environments. The SVM parameters will affect the identification of the result. Therefore, we use particle swarm optimization (PSO) to find the suit parameters in SVM. To obtain the channel equalization model and recons

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Guha, Devi Rani. "Artificial Neural Network Based Channel Equalization." Thesis, 2011. http://ethesis.nitrkl.ac.in/2081/1/devi-thesis-corrected.pdf.

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The field of digital data communications has experienced an explosive growth in the last three decade with the growth of internet technologies, high speed and efficient data transmission over communication channel has gained significant importance. The rate of data transmissions over a communication system is limited due to the effects of linear and nonlinear distortion. Linear distortions occure in from of inter-symbol interference (ISI), co-channel interference (CCI) and adjacent channel interference (ACI) in the presence of additive white Gaussian noise. Nonlinear distortions are caused due

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49

Hsieh, Tsung-Da, and 謝宗達. "Channel Estimation and Equalization for OFDM Communication Systems." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/79163754713381504755.

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碩士<br>樹德科技大學<br>電腦與通訊研究所<br>91<br>Following communication technology progress, from wired communication to wireless communication, in order to save the limited bandwidth resource, provide high quality communication service and resist frequency selective fading channel, OFDM technique is presented to solve many problems. There are a lot of interference exist in wireless channel. In order to enhance the system efficiency, a good channel estimator is necessary. In this thesis, we exploit pilot assisted channel estimation. Firstly, Pilot symbols are inserted into transmitted signal by periodic

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Tsai, Wern-Fong, and 蔡文豐. "Adaptive Equalization for Fast Time-Varying Fading Channel." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/16180690768348297413.

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碩士<br>國立中正大學<br>電機工程學系<br>86<br>Both symbol-by-symbol and sequence equalization of digital signaling on the time-varying multipath fading channels are investigated here. Two methods for symbol-by- symbol equalization, namely, Bayesian equalizer with decision feedback (Bayesian DFE)and Bayesian equalizer with recursive algorithm and one method for sequence equalization,namely, maximum likelihood sequence estimation(MLSE) equalizer have been considered i

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