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Academic literature on the topic 'MIMO decoder'

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Published: 14 March 2023

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Journal articles on the topic "MIMO decoder"

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Alghoniemy, Masoud, and Ahmed H. Tewfik. "MIMO Cube Decoder." Journal of Communications Software and Systems 7, no. 3 (September 22, 2011): 104. http://dx.doi.org/10.24138/jcomss.v7i3.176.

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An insight on the lattice decoder for flat-fading multiple antenna wireless communications systems is presented in this paper. In particular, we show that by formulating the decoding problem as a bounded-error subset selection, theresultant decoder finds the nearest lattice point to the received signal vector such that the search is bounded inside a hypercube centered at the received vector. The dimensions and orientation of the hypercube can be adjusted based on the diversity of the channel in order to improve its performance. The search for the nearest codeword to the received signal vector is solved by modeling the problem as an Integer Program (IP). Simulation shows that the proposed decoder is inferior to the Sphere Decoder (SD) by about 1-dB while its complexity is superior to the Sphere Decoder at very low signal to noise ratio.
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Mao, Yun, Ying Guo, Jun Peng, Xueqin Jiang, and Moon Ho Lee. "Double-Layer Low-Density Parity-Check Codes over Multiple-Input Multiple-Output Channels." International Journal of Antennas and Propagation 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/716313.

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We introduce a double-layer code based on the combination of a low-density parity-check (LDPC) code with the multiple-input multiple-output (MIMO) system, where the decoding can be done in both inner-iteration and outer-iteration manners. The present code, called low-density MIMO code (LDMC), has a double-layer structure, that is, one layer defines subcodes that are embedded in each transmission vector and another glues these subcodes together. It supports inner iterations inside the LDPC decoder and outeriterations between detectors and decoders, simultaneously. It can also achieve the desired design rates due to the full rank of the deployed parity-check matrix. Simulations show that the LDMC performs favorably over the MIMO systems.
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Ali, Sajid, Sara Shakil Qureshi, and Syed Ali Hassan. "Quaternion Codes in MIMO System of Dual-Polarized Antennas." Applied Sciences 11, no. 7 (April 1, 2021): 3131. http://dx.doi.org/10.3390/app11073131.

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The use of quaternion orthogonal designs (QODs) to describe point-to-point communication among dual-polarized antennas has the potential to provide higher rate orthogonal and quasi-orthogonal complex designs exploiting polarization diversity among space and time diversities. Furthermore, it is essential to have a space time block code (STBC) which offers a linear and decoupled decoder which quasi-orthogonal designs fail to attain. In this paper, we show how the realm of quaternions unexpectedly offers us a possible solution and codes obtained from quaternion designs mostly achieve both linear and decoupled decoders. This motivated us to perform an indispensable search for QODs such that the code rate is bounded below by 1/2 and does not sharply decrease as the number of transmit antennas increases. It is shown that three famous recursive techniques do not satisfy this criteria and their code rates decrease rather rapidly. Therefore, we propose another method of constructing quaternion designs suitable for any number of transmit antennas and verify that these attain linear and decoupled decoders with the system model based on quaternionic channel. It is shown that such designs outperform others in terms of transmit diversity, code rates and the optimality of the proposed decoder is validated through simulation results.
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Harbi, Yahya, ALI AL-JANABI, Hayder Almusa, Marwa Chafii, and Alister Burr. "Iterative Interference Cancellation for Multi-Carrier Modulation in MIMO-DWT Downlink Transmission." Journal of Telecommunications and the Digital Economy 9, no. 4 (December 5, 2021): 75–87. http://dx.doi.org/10.18080/jtde.v9n4.426.

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The Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) scheme represents the dominant radio interface for broadband multicarrier communication systems. However, with insufficient Cyclic Prefixes (CP), Inter-Symbol Interference (ISI) and Inter-Carrier Interference (ICI) occur due to the time-varying multipath channel. This means that the performance of the system will be degraded. In this paper, we investigate the interference problem for a MIMO Discrete Wavelet Transform (MIMO-DWT) system under the effect of the downlink LTE channel. A Low-Density Parity-Check (LDPC) decoder is used to estimate the decoded signal. The proposed iterative algorithm uses the estimated decoded signal to compute the components required for ICI/ISI interference reduction. In this paper, Iterative Interference Cancellation (IIC) is employed to mitigate the effects of interference that contaminates the received signal due to multiple antenna transmission and a multipath channel. An equalizer with minimum mean square error is considered. We compare the performance of our proposed algorithm with the traditional MIMO-OFDM scheme in terms of bit error probability under insufficient CP. Simulation results verify that significant improvements are achieved by using IIC and MIMO-IIC for both systems.
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El Chall, Rida, Fabienne Nouvel, Maryline Hélard, and Ming Liu. "Performance and Complexity Evaluation of Iterative Receiver for Coded MIMO-OFDM Systems." Mobile Information Systems 2016 (2016): 1–22. http://dx.doi.org/10.1155/2016/7642590.

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Multiple-input multiple-output (MIMO) technology in combination with channel coding technique is a promising solution for reliable high data rate transmission in future wireless communication systems. However, these technologies pose significant challenges for the design of an iterative receiver. In this paper, an efficient receiver combining soft-input soft-output (SISO) detection based on low-complexity K-Best (LC-K-Best) decoder with various forward error correction codes, namely, LTE turbo decoder and LDPC decoder, is investigated. We first investigate the convergence behaviors of the iterative MIMO receivers to determine the required inner and outer iterations. Consequently, the performance of LC-K-Best based receiver is evaluated in various LTE channel environments and compared with other MIMO detection schemes. Moreover, the computational complexity of the iterative receiver with different channel coding techniques is evaluated and compared with different modulation orders and coding rates. Simulation results show that LC-K-Best based receiver achieves satisfactory performance-complexity trade-offs.
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Milford, David, and Magnus Sandell. "Simplified Quantisation in a Reduced-Lattice MIMO Decoder." IEEE Communications Letters 15, no. 7 (July 2011): 725–27. http://dx.doi.org/10.1109/lcomm.2011.051011.110485.

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Mathur, Garima, Mohammad Salim, and R. Yadav. "A Novel Approach for Sphere Decoder MIMO System." British Journal of Mathematics & Computer Science 4, no. 1 (January 10, 2014): 22–32. http://dx.doi.org/10.9734/bjmcs/2014/5614.

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Jiménez-Pacheco, Alberto, Ángel Fernández-Herrero, and Javier Casajús-Quirós. "Design and Implementation of a Hardware Module for MIMO Decoding in a 4G Wireless Receiver." VLSI Design 2008 (January 31, 2008): 1–8. http://dx.doi.org/10.1155/2008/312614.

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Future 4th Generation (4G) wireless multiuser communication systems will have to provide advanced multimedia services to an increasing number of users, making good use of the scarce spectrum resources. Thus, 4G system design should pursue both higher-transmission bit rates and higher spectral efficiencies. To achieve this goal, multiple antenna systems are called to play a crucial role. In this contribution we address the implementation in FPGAs of a multiple-input multiple-output (MIMO) decoder embedded in a prototype of a 4G mobile receiver. This MIMO decoder is part of a multicarrier code-division multiple-access (MC-CDMA) radio system, equipped with multiple antennas at both ends of the link, that is able to handle up to 32 users and provides raw transmission bit-rates up to 125 Mbps. The task of the MIMO decoder is to appropriately combine the signals simultaneously received on all antennas to construct an improved signal, free of interference, from which to estimate the transmitted symbols. A comprehensive explanation of the complete design process is provided, including architectural decisions, floating-point to fixed-point translation, and description of the validation procedure. We also report implementation results using FPGA devices of the Xilinx Virtex-4 family.
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Cerato, Barbara, Guido Masera, and Emanuele Viterbo. "Enabling VLSI Processing Blocks for MIMO-OFDM Communications." VLSI Design 2008 (March 24, 2008): 1–10. http://dx.doi.org/10.1155/2008/351962.

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Multi-input multi-output (MIMO) systems combined with orthogonal frequency-division multiplexing (OFDM) gained a wide popularity in wireless applications due to the potential of providing increased channel capacity and robustness against multipath fading channels. However these advantages come at the cost of a very high processing complexity and the efficient implementation of MIMO-OFDM receivers is today a major research topic. In this paper, efficient architectures are proposed for the hardware implementation of the main building blocks of a MIMO-OFDM receiver. A sphere decoder architecture flexible to different modulation without any loss in BER performance is presented while the proposed matrix factorization implementation allows to achieve the highest throughput specified in the IEEE 802.11n standard. Finally a novel sphere decoder approach is presented, which allows for the realization of new golden space time trellis coded modulation (GST-TCM) scheme. Implementation cost and offered throughput are provided for the proposed architectures synthesized on a 0.13 CMOS standard cell technology or on advanced FPGA devices.
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JIN, Xianglan, Dong-Sup JIN, Jong-Seon NO, and Dong-Joon SHIN. "Diversity Analysis of MIMO Decode-and-Forward Relay Network by Using Near-ML Decoder." IEICE Transactions on Communications E94-B, no. 10 (2011): 2828–36. http://dx.doi.org/10.1587/transcom.e94.b.2828.

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Dissertations / Theses on the topic "MIMO decoder"

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Krishnan, Praveen G. "Fast sphere decoder for MIMO systems." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.umr.edu/thesis/pdf/umrthes_09007dcc80318823.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 2007.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 16, 2007) Includes bibliographical references (p. 38).
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Quesenberry, Joshua Daniel. "Communication Synthesis for MIMO Decoder Matrices." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/51149.

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The design in this work provides an easy and cost-efficient way of performing an FPGA implementation of a specific algorithm through use of a custom hardware design language and communication synthesis. The framework is designed to optimize performance with matrix-type mathematical operations. The largest matrices used in this process are 4x4 matrices. The primary example modeled in this work is MIMO decoding. Making this possible are 16 functional unit containers within the framework, with generalized interfaces, which can hold custom user hardware and IP cores.

This framework, which is controlled by a microsequencer, is centered on a matrix-based memory structure comprised of 64 individual dual-ported memory blocks. The microsequencer uses an instruction word that can control every element of the architecture during a single clock cycle. Routing to and from the memory structure uses an optimized form of a crossbar switch with predefined routing paths supporting any combination of input/output pairs needed by the algorithm.

A goal at the start of the design was to achieve a clock speed of over 100 MHz; a clock speed of 183 MHz has been achieved. This design is capable of performing a 4x4 matrix inversion within 335 clock cycles, or 1,829 ns. The power efficiency of the design is measured at 17.15 MFLOPS/W.
Master of Science

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Mohammed, Karim Ossama. "A MIMO decoder accelerator for next generation wireless communications." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1875366181&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Patel, Vipul Hiralal. "A system on programmable chip approach for MIMO lattice decoder." ScholarWorks@UNO, 2004. http://louisdl.louislibraries.org/u?/NOD,167.

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Thesis (M.S.)--University of New Orleans, 2004.
Title from electronic submission form. "A thesis ... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Electrical Engineering."--Thesis t.p. Vita. Includes bibliographical references.
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Lim, Melvin Chi Hearn. "Linear Precoder and Decoder Design for the Multiuser MIMO Downlink." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509007.

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Kapfunde, Goodwell. "Near-capacity sphere decoder based detection schemes for MIMO wireless communication systems." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11350.

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The search for the closest lattice point arises in many communication problems, and is known to be NP-hard. The Maximum Likelihood (ML) Detector is the optimal detector which yields an optimal solution to this problem, but at the expense of high computational complexity. Existing near-optimal methods used to solve the problem are based on the Sphere Decoder (SD), which searches for lattice points confined in a hyper-sphere around the received point. The SD has emerged as a powerful means of finding the solution to the ML detection problem for MIMO systems. However the bottleneck lies in the determination of the initial radius. This thesis is concerned with the detection of transmitted wireless signals in Multiple-Input Multiple-Output (MIMO) digital communication systems as efficiently and effectively as possible. The main objective of this thesis is to design efficient ML detection algorithms for MIMO systems based on the depth-first search (DFS) algorithms whilst taking into account complexity and bit error rate performance requirements for advanced digital communication systems. The increased capacity and improved link reliability of MIMO systems without sacrificing bandwidth efficiency and transmit power will serve as the key motivation behind the study of MIMO detection schemes. The fundamental principles behind MIMO systems are explored in Chapter 2. A generic framework for linear and non-linear tree search based detection schemes is then presented Chapter 3. This paves way for different methods of improving the achievable performance-complexity trade-off for all SD-based detection algorithms. The suboptimal detection schemes, in particular the Minimum Mean Squared Error-Successive Interference Cancellation (MMSE-SIC), will also serve as pre-processing as well as comparison techniques whilst channel capacity approaching Low Density Parity Check (LDPC) codes will be employed to evaluate the performance of the proposed SD. Numerical and simulation results show that non-linear detection schemes yield better performance compared to linear detection schemes, however, at the expense of a slight increase in complexity. The first contribution in this thesis is the design of a near ML-achieving SD algorithm for MIMO digital communication systems that reduces the number of search operations within the sphere-constrained search space at reduced detection complexity in Chapter 4. In this design, the distance between the ML estimate and the received signal is used to control the lower and upper bound radii of the proposed SD to prevent NP-complete problems. The detection method is based on the DFS algorithm and the Successive Interference Cancellation (SIC). The SIC ensures that the effects of dominant signals are effectively removed. Simulation results presented in this thesis show that by employing pre-processing detection schemes, the complexity of the proposed SD can be significantly reduced, though at marginal performance penalty. The second contribution is the determination of the initial sphere radius in Chapter 5. The new initial radius proposed in this thesis is based on the variable parameter α which is commonly based on experience and is chosen to ensure that at least a lattice point exists inside the sphere with high probability. Using the variable parameter α, a new noise covariance matrix which incorporates the number of transmit antennas, the energy of the transmitted symbols and the channel matrix is defined. The new covariance matrix is then incorporated into the EMMSE model to generate an improved EMMSE estimate. The EMMSE radius is finally found by computing the distance between the sphere centre and the improved EMMSE estimate. This distance can be fine-tuned by varying the variable parameter α. The beauty of the proposed method is that it reduces the complexity of the preprocessing step of the EMMSE to that of the Zero-Forcing (ZF) detector without significant performance degradation of the SD, particularly at low Signal-to-Noise Ratios (SNR). More specifically, it will be shown through simulation results that using the EMMSE preprocessing step will substantially improve performance whenever the complexity of the tree search is fixed or upper bounded. The final contribution is the design of the LRAD-MMSE-SIC based SD detection scheme which introduces a trade-off between performance and increased computational complexity in Chapter 6. The Lenstra-Lenstra-Lovasz (LLL) algorithm will be utilised to orthogonalise the channel matrix H to a new near orthogonal channel matrix H ̅.The increased computational complexity introduced by the LLL algorithm will be significantly decreased by employing sorted QR decomposition of the transformed channel H ̅ into a unitary matrix and an upper triangular matrix which retains the property of the channel matrix. The SIC algorithm will ensure that the interference due to dominant signals will be minimised while the LDPC will effectively stop the propagation of errors within the entire system. Through simulations, it will be demonstrated that the proposed detector still approaches the ML performance while requiring much lower complexity compared to the conventional SD.
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Singh, Arun Kumar. "Le compromis Débit-Fiabilité-Complexité dans les systèmes MMO multi-utilisateurs et coopératifs avec décodeurs ML et Lattice." Thesis, Paris, ENST, 2012. http://www.theses.fr/2012ENST0005/document.

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Dans les télécommunications, le débit-fiabilité et la complexité de l’encodage et du décodage (opération à virgule flottante-flops) sont largement reconnus comme représentant des facteurs limitant interdépendants. Pour cette raison, tout tentative de réduire la complexité peut venir au prix d’une dégradation substantielle du taux d’erreurs. Cette thèse traite de l’établissement d’un compromis limite fondamental entre la fiabilité et la complexité dans des systèmes de communications « outage »-limités à entrées et sorties multiples (MIMO), et ses scénarios point-à-point, utilisateurs multiple, bidirectionnels, et aidés de feedback. Nous explorons un large sous-ensemble de la famille des méthodes d’encodage linéaire Lattice, et nous considérons deux familles principales de décodeurs : les décodeurs à maximum de vraisemblance (ML) et les décodeurs Lattice. L‘analyse algorithmique est concentrée sur l’implémentation de ces décodeurs ayant comme limitation une recherche bornée, ce qui inclue une large famille de sphère-décodeurs. En particulier, le travail présenté fournit une analyse à haut rapport Signal-à-Bruit (SNR) de la complexité minimum (flops ou taille de puce électronique) qui permet d’atteindre a) une certaine performance vis-à-vis du compromis diversité-gain de multiplexage et b) une différence tendant vers zéro avec le non-interrompu (optimale) ML décodeur, ou une différence tendant vers zéro comparé à l’implémentation exacte du décodeur (régularisé) Lattice. L’exposant de complexité obtenu décrit la vitesse asymptotique d’accroissement de la complexité, qui est exponentielle en terme du nombre de bits encodés
In telecommunications, rate-reliability and encoding-decoding computational complexity (floating point operations - flops), are widely considered to be limiting and interrelated bottlenecks. For this reason, any attempt to significantly reduce complexity may be at the expense of a substantial degradation in error-performance. Establishing this intertwined relationship constitutes an important research topic of substantial practical interest. This dissertation deals with the question of establishing fundamental rate, reliability and complexity limits in general outage-limited multiple-input multiple-output (MIMO) communications, and its related point-to-point, multiuser, cooperative, two-directional, and feedback-aided scenarios. We explore a large subset of the family of linear lattice encoding methods, and we consider the two main families of decoders; maximum likelihood (ML) based and lattice-based decoding. Algorithmic analysis focuses on the efficient bounded-search implementations of these decoders, including a large family of sphere decoders. Specifically, the presented work provides high signal-to-noise (SNR) analysis of the minimum computational reserves (flops or chip size) that allow for a) a certain performance with respect to the diversity-multiplexing gain tradeoff (DMT) and for b) a vanishing gap to the uninterrupted (optimal) ML decoder or a vanishing gap to the exact implementation of (regularized) lattice decoding. The derived complexity exponent describes the asymptotic rate of exponential increase of complexity, exponential in the number of codeword bits
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Sevelimedu, Veeravalli Vinodh. "Study of MIMO, orthogonal codes and core operator architecture design for ML decoder." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10155.

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In the high-end research process of wireless systems and in the race for the development of the new technologies, MIMO (Multiple Input, Multiple Output) is getting more attention now days. It has a high potential usage in the 3G and 4G communications and beyond. The MIMO based system has got the ability to increase the data throughput in spectrum-limited conditions. With the increase and complexity of wireless applications, the spectrum efficiency improvement in the physical layer will be saturated. MIMO is predicted to be one of the major features for the next generation wireless networking. This thesis work is a part of an ongoing project of the Generic MIMO decoder design carried out at the research laboratory, LESTER at Lorient, France. I was involved in the study of MIMO concepts, orthogonal and Space-time codes and later involved in the design and optimization of the architecture for the core operator for the ML decoder used in the reception of the MIMO system,which is presented in this report work.

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Correia, Tiago Miguel Pina. "FPGA implementation of Alamouti encoder/decoder for LTE." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12679.

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Mestrado em Engenharia Electrónica e Telecomunicações
Motivados por transmissões mais rápidas e mais fiáveis num canal sem fios, os sistemas da 4G devem proporcionar processamento de dados mais rápido a baixa complexidade, elevadas taxas de dados, assim como robustez na performance reduzindo também, a latência e os custos de operação. LTE apresenta, na sua camada física, tecnologias como OFDM e MIMO que prometem alcançar elevadas taxas de dados e aumentar a eficiência espectral. Especificamente a camada física do LTE emprega OFDMA para downlink e SC-FDMA para uplink. A tecnologia MIMO permite também melhorar significativamente o desempenho dos sistemas OFDM com as vantagens de multiplexação e diversidade espacial diminuindo o efeito de desvanecimento de multi-percurso no canal. Nesta dissertação são implementados um codificador e um descodificador com base no algoritimo de Alamouti num sistema MISO nomeadamente para serem incluídos num OFDM transceiver que segue as especificações da camada física do LTE. A codificação/descodificação de Alamouti realiza-se no espaço e frequência e os blocos foram projetados e simulados em Matlab através do ambiente Simulink com o auxílio dos blocos da Xilinx inseridos no seu software System Generator para DSP. Pode-se concluir que os blocos baseados no algoritmo de Alamouti foram implementados em hardware com sucesso.
Motivated by faster transmissions and more reliable wireless channel, future 4G systems should provide faster data processing at low complexity, high data rates, as well as robustness in performance while also reducing the latency and operating costs. LTE presents in its physical layer technologies such as OFDM and MIMO that promise to achieve high data rates and increase spectral efficiency. Specifically the physical layer of LTE employs OFDMA on the downlink and SC-FDMA for uplink. MIMO technology also allows to significantly improve the performance of OFDM systems with the advantages of multiplexing and spatial diversity by decreasing the effect of multipath fading in the channel. In this thesis we implemented an encoder and a decoder based on an Alamouti algorithm in a MISO system namely to be added to an OFDM transceiver that follows closely the LTE physical layer specifications. Alamouti coding/decoding is performed in frequency and space and the blocks were projected and simulated in Matlab using Simulink environment through the Xilink's blocks in the System Generator for DSP. One can conclude that the blocks based on Alamouti algorithm were well-implemented.
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El, chall Rida. "Récepteur itératif pour les systèmes MIMO-OFDM basé sur le décodage sphérique : convergence, performance et complexité." Thesis, Rennes, INSA, 2015. http://www.theses.fr/2015ISAR0019/document.

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Pour permettre l’accroissement de débit et de robustesse dans les futurs systèmes de communication sans fil, les processus itératifs sont de plus considérés dans les récepteurs. Cependant, l’adoption d’un traitement itératif pose des défis importants dans la conception du récepteur. Dans cette thèse, un récepteur itératif combinant les techniques de détection multi-antennes avec le décodage de canal est étudié. Trois aspects sont considérés dans un contexte MIMOOFDM: la convergence, la performance et la complexité du récepteur. Dans un premier temps, nous étudions les différents algorithmes de détection MIMO à décision dure et souple basés sur l’égalisation, le décodage sphérique, le décodage K-Best et l’annulation d’interférence. Un décodeur K-best de faible complexité (LC-K-Best) est proposé pour réduire la complexité sans dégradation significative des performances. Nous analysons ensuite la convergence de la combinaison de ces algorithmes de détection avec différentes techniques de codage de canal, notamment le décodeur turbo et le décodeur LDPC en utilisant le diagramme EXIT. En se basant sur cette analyse, un nouvel ordonnancement des itérations internes et externes nécessaires est proposé. Les performances du récepteur ainsi proposé sont évaluées dans différents modèles de canal LTE, et comparées avec différentes techniques de détection MIMO. Ensuite, la complexité des récepteurs itératifs avec différentes techniques de codage de canal est étudiée et comparée pour différents modulations et rendement de code. Les résultats de simulation montrent que les approches proposées offrent un bon compromis entre performance et complexité. D’un point de vue implémentation, la représentation en virgule fixe est généralement utilisée afin de réduire les coûts en termes de surface, de consommation d’énergie et de temps d’exécution. Nous présentons ainsi une représentation en virgule fixe du récepteur itératif proposé basé sur le décodeur LC K-Best. En outre, nous étudions l’impact de l’estimation de canal sur la performance du système. Finalement, le récepteur MIMOOFDM itératif est testé sur la plateforme matérielle WARP, validant le schéma proposé
Recently, iterative processing has been widely considered to achieve near-capacity performance and reliable high data rate transmission, for future wireless communication systems. However, such an iterative processing poses significant challenges for efficient receiver design. In this thesis, iterative receiver combining multiple-input multiple-output (MIMO) detection with channel decoding is investigated for high data rate transmission. The convergence, the performance and the computational complexity of the iterative receiver for MIMO-OFDM system are considered. First, we review the most relevant hard-output and soft-output MIMO detection algorithms based on sphere decoding, K-Best decoding, and interference cancellation. Consequently, a low-complexity K-best (LCK- Best) based decoder is proposed in order to substantially reduce the computational complexity without significant performance degradation. We then analyze the convergence behaviors of combining these detection algorithms with various forward error correction codes, namely LTE turbo decoder and LDPC decoder with the help of Extrinsic Information Transfer (EXIT) charts. Based on this analysis, a new scheduling order of the required inner and outer iterations is suggested. The performance of the proposed receiver is evaluated in various LTE channel environments, and compared with other MIMO detection schemes. Secondly, the computational complexity of the iterative receiver with different channel coding techniques is evaluated and compared for different modulation orders and coding rates. Simulation results show that our proposed approaches achieve near optimal performance but more importantly it can substantially reduce the computational complexity of the system. From a practical point of view, fixed-point representation is usually used in order to reduce the hardware costs in terms of area, power consumption and execution time. Therefore, we present efficient fixed point arithmetic of the proposed iterative receiver based on LC-KBest decoder. Additionally, the impact of the channel estimation on the system performance is studied. The proposed iterative receiver is tested in a real-time environment using the MIMO WARP platform
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Books on the topic "MIMO decoder"

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Barnard, Nicholas. El libro del bricolaje: Técnicas y diseños para decorar la casa. [Barcelona?]: Ediciones Primera Plana, 2000.

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Book chapters on the topic "MIMO decoder"

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Wang, Hongzhi, Pierre Leray, and Jacques Palicot. "A Reconfigurable Architecture for MIMO Square Root Decoder." In Reconfigurable Computing: Architectures and Applications, 317–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802839_40.

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Budihal, Suneeta V., Rashmi Hiremath, and R. M. Banakar. "Performance of Sphere Decoder for MIMO System Using LLL Algorithm." In Lecture Notes in Electrical Engineering, 517–24. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1157-0_53.

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Guo, Lei, Shirong Zeng, Yong Dou, and Jingfei Jiang. "A Full-Pipelined Architecture of the Schnorr-Euchner MIMO Sphere Decoder." In Lecture Notes in Electrical Engineering, 17–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55038-6_3.

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Gupta, Sakar, and Sunita Gupta. "Complexity Analysis of Multiuser Detection Schemes Based on Sphere Decoder for MIMO Wireless Communication System." In Advances in Intelligent Systems and Computing, 587–98. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5687-1_53.

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Filippi, Morris, Andrea F. Cattoni, Yannick Le Moullec, and Claudio Sacchi. "SDR Implementation of a Low Complexity and Interference-Resilient Space-Time Block Decoder for MIMO-OFDM Systems." In Multiple Access Communications, 119–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23795-9_11.

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Abbas, Karim. "Advanced Issues in Migrating to Hardware: MIMO Decoders as Case Studies." In From Algorithms to Hardware Architectures, 345–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08693-9_10.

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Bindu, E., and B. V. R. Reddy. "Optimized Power Allocation in Selective Decode and Forward Cooperative Wireless Relay Communication with MIMO Nodes." In Communications in Computer and Information Science, 93–106. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5992-7_8.

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S., Muhammad, Mohamed M., and S. E.-D. "Efficient Implementation of MIMO Decoders." In MIMO Systems, Theory and Applications. InTech, 2011. http://dx.doi.org/10.5772/14536.

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Andrade, Fernando Oliveira de. "Prefácio do livro: Fetch em Lagos e Reservatórios." In Fetch em Lagos e Reservatórios, 12–13. Bookerfield Editora, 2021. http://dx.doi.org/10.53268/bkf2011110398.

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Abstract:
Minha parceria com o Marcelo começou quando nos conhecemos no Programa de Pós-graduação em Engenharia de Recursos Hídricos e Ambiental da Universidade Federal do Paraná (PPGERHA-UFPR). O Marcelo concluía seu segundo ano de doutoramento e eu iniciava um período de pós-doutoramento. Nossos interesses de pesquisa na área de modelagem de vento e onda eram similares, de modo que pudemos trabalhar de forma complementar, produzindo resultados para verificação das simulações desenvolvidas. Eu me concentrava na aplicação de modelos numéricos de base física, disponíveis em software de domínio público, para cálculo de altura significativa de ondas, enquanto o Marcelo desenvolvia seu próprio programa computacional chamado ONDACAD, com o objetivo de automatizar a geração de campos de fetch e de altura significativa de onda para aplicação em corpos de águas continentais. Este período no PPGERHA-UFPR foi bastante produtivo. Diariamente nos reuníamos, com participação também de professores e pesquisadores do programa, para discussões frutíferas acerca do desenvolvimento da metodologia que o Marcelo estava desenvolvendo. Naquele espaço foram discutidas ideias inovadoras que o Marcelo colocou em prática no seu trabalho de doutorado, tais como as abordagens de cálculo rápido de fetch máximo e uma nova visão das equações paramétricas, mediante análise da influência da velocidade do vento na correlação altura significativa de onda-fetch adimensionais. Nesta época também presenciei a concepção da versão piloto do sistema HIDRONDA, desenvolvido para simulação e previsão de altura significativa de onda em corpos de água continentais, em tempo real e com divulgação dos resultados em uma página da internet. Após a defesa da tese de doutorado do Marcelo, houve um período de aplicação do programa computacional ONDACAD com o objetivo de validar a metodologia para diversos corpos de água continentais, caracterizados por uma grande variedade de formatos dendríticos e sob diferentes regimes de vento. Estas aplicações resultaram em estudos que foram publicados no decorrer dos anos no âmbito de congressos nacionais e internacionais, como no Simpósio Brasileiro de Recursos Hídricos em Brasília e Florianópolis, e no Congresso Latino-americano de Hidráulica em Santiago, Lima e Buenos Aires. Também foram publicados trabalhos na Revista Brasileira de Recursos Hídricos e no periódico científico norte americano Lake and Reservoir Management. Hoje é gratificante para mim escrever o prefácio deste livro, que apresenta de forma didática e concisa uma parte do trabalho produzido pelo Marcelo na área de modelagem de vento e onda nos últimos anos. O livro se concentra no entendimento do conceito de fetch, aplicado aos corpos de água continentais como lagos e reservatórios. São realizadas considerações fundamentais sobre os métodos de determinação de fetch e, subsequentemente, é proposto um método rápido para determinação do fetch máximo. Por fim, um capítulo é dedicado ao programa computacional ONDACAD que permite o cálculo de campos bidimensionais de fetch de maneira automatizada. Este livro é uma contribuição valiosa que serve como referência para quem pretende se dedicar ao estudo do comportamento do vento e sua influência na formação de ondas em lagos e reservatórios.
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Conference papers on the topic "MIMO decoder"

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Ouertani, Rym, Ghaya Rekaya Ben-Othman, and Jean-Claude Belfiore. "An Adaptive MIMO Decoder." In 2009 IEEE 69th Vehicular Technology Conference Spring. IEEE, 2009. http://dx.doi.org/10.1109/vetecs.2009.5073376.

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Chavali, Nanda Kishore, and B. Kranti Kumar. "A reduced complexity MIMO decoder." In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091411.

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Shirwal, Vijaykumar S., and Mahesh S. Chavan. "Implementation aspect of MIMO decoder." In 2014 IEEE Global Conference on Wireless Computing and Networking (GCWCN). IEEE, 2014. http://dx.doi.org/10.1109/gcwcn.2014.7030848.

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Vordonis, Dimitris, and Vassilis Paliouras. "Sphere Decoder for Massive MIMO Systems." In 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC). IEEE, 2019. http://dx.doi.org/10.1109/norchip.2019.8906929.

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Kumar, Satish, Anurag Singh, and Rajarshi Mahapatra. "Deep Learning Based Massive-MIMO Decoder." In 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, 2019. http://dx.doi.org/10.1109/ants47819.2019.9118152.

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Wang, Hongzhi, Jean-Philippe Delahaye, Pierre Leray, and Jacques Palicot. "Managing dynamic reconfiguration on MIMO Decoder." In 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ipdps.2007.370387.

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Zhi Quan, Yuriy Zakharov, and Junruo Zhang. "Multiple phase decoder for MIMO systems." In 2008 42nd Asilomar Conference on Signals, Systems and Computers. IEEE, 2008. http://dx.doi.org/10.1109/acssc.2008.5074728.

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Mejri, Asma, and Ghaya Rekaya-Ben Othman. "Reduced-Complexity Stack Decoder for MIMO Systems." In 2015 IEEE 81st Vehicular Technology Conference (VTC Spring). IEEE, 2015. http://dx.doi.org/10.1109/vtcspring.2015.7146047.

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Rajeshwari, B., and K. Veena. "MIMO receiver and decoder using vector processor." In TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE, 2017. http://dx.doi.org/10.1109/tencon.2017.8228044.

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Shao, Z. Y., S. W. Cheung, and T. I. Yuk. "An optimum Geometric decoder for MIMO systems." In Exhibition, "Innovative Engineering for Sustainable Environment". IEEE, 2009. http://dx.doi.org/10.1109/ieeegcc.2009.5734289.

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