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26th Magnetic Recording Conference (TMRC)

作者： Sun, Xueliang Belzer, Benjamin J. Sivakumar, Krishnamoorthy Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA

Dynamic grain state estimation (DGSE) algorithms for 2-D magnetic recording (TDMR) employ probabilistic message-passing algorithms that jointly estimate magnetic grain configurations and coded data bits, in order to iteratively assist channel decoding. At high densities (e.g., between 1 and 3 magnetic grains per coded bit), occasionally, a bit will not be written on any grain, and hence will effectively be overwritten (or erased) by bits on surrounding grains. DGSE enables the detection of overwritten bits so that their log-likelihood ratios are assigned small magnitudes, effectively making them erasures, which are easily filled in by linear channel codes. Past papers employing Bahl-Cocke-Jelinek-Raviv-based detectors on a simple four-rectangular-grain model have shown that the DGSE is surprisingly resilient to mismatch between the detector's assumed grain model and the actual model generating the data. This paper presents a novel DGSE-TDMR detector based on the generalized belief propagation (GBP) algorithm. The new detector employs a random discretized-nuclei Voronoi grain model. Simulation results show that the GBP-based TDMR turbodetector accurately detects the overwritten bits and that it achieves low decoded bit error rates at densities as high as 0.4966 user bits per grain.

关键词： 2-D magnetic recording (TDMR) generalized belief propagation (GBP) iterative detection and decoding Voronoi grain model

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Digital communication receiver algorithms and architectures for reduced complexity and high throughput

Digital communication receiver algorithms and architectures ...

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作者： Choi, Jun Won University of Illinois – Urbana-Champaign

学位级别：doctor

In this dissertation, efficient receiver algorithms and architectures for digital communications are studied. As the demand for higher data communication rate increases, the dimension of communication systems is rapidly growing, thereby requiring computationally efficient detection and decoding algorithms in the receiver. Hence, it is crucial to develop receiver algorithms that can offer good performance-complexity trade-offs in high dimensional communication systems such as multi-input multi-output (MIMO) systems and systems with a large delay spread. In this dissertation, computationally efficient receiver algorithms and low-power implementation of receiver architectures are investigated. First, a low-complexity near maximum-likelihood (ML) detector, called the reduced-dimension ML search (RD-MLS), is proposed. The main idea of the RD-MLS is based on reduction of search space dimension. That is, a solution is searched over a subset of symbols to reduce the search complexity. In order to minimize the inevitable performance loss due to the search space reduction, a list tree search (LTS) algorithm is employed, which finds the best K candidates over the reduced search space. A final solution is chosen among the K candidates after extension to the full dimension via an MMSE decision-feedback (MMSE-DF) detector. To determine the candidate size, K adaptively, a stopping criterion is incorporated into the LTS. Through computer simulations, we demonstrate that the RD-MLS algorithm achieves significant complexity reduction over the existing near ML detectors while limiting performance loss to within one dB from ML detection. Second, a low complexity MIMO tree detector, called the improved soft-input soft-output M-algorithm (ISS-MA), is presented. The proposed detector is developed for iterative detection and decoding (IDD) systems, which are known to achieve near-optimal detection performance for MIMO channels. In order to improve the performance of tree detection, a look

关键词： Multi-Input Multi-Output (MIMO) Detector iterative detection and decoding Sphere decoding Path Metric Tree Search Underwater Acoustic Communication Equalization Low Power

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Reliability-based Partial Parallel Interference Cancellation and iterative decoding for DS-CDMA over fading channels

Reliability-based Partial Parallel Interference Cancellation...

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IEEE International Conference on Communications (ICC 2007)

作者： Elezabi, Ayman Amer Univ Cairo Dept Elect Engn Cairo Egypt

ISBN: (纸本)9781424403523

Multistage Partial Parallel Interference Cancellation (PPIC) is proposed for Turbo-encoded DS-CDMA systems where the partial cancellation factors are derived based on the Log-likelihood Ratios (LLR's) of each user's bit. The LLR is obtained based on an enhanced estimate of the variance of the Multiple-Access Interference (MAI) and Residual MAI (RMAI) plus noise. The (R)MAI terms are modeled as conditionally Gaussian with a time-dependent variance that is a function of the user cross-correlations and fading coefficients. Significant performance gains due to the improved LLR's are realized over PPIC schemes using fixed variance estimates in frequency non-selective Rayleigh fading channels. The performance gap is greater when two stages of the improved PPIC are used. Reduced complexity forms of the variance estimates and LLR's are proposed and also shown to give a performance advantage.

关键词： partial parallel interference cancellation Turbo codes Log-likelihood ratio residual multiple-access interference iterative detection and decoding

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A Low-Complexity CLSIC-LMMSE-Based Multi-User detection Algorithm for Coded MIMO Systems with High Order Modulation

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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2017年第4期11卷 1954-1971页

作者： Xu, Jin Zhang, Kai Zhengzhou Univ Light Ind Sch Comp & Commun Engn Zhengzhou 450000 Peoples R China Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China

In this work, first, a multiuser detection (MUD) algorithm based on component-level soft interference cancellation and linear minimum mean square error (CLSIC-LMMSE) is proposed, which can enhance the bit error ratio (BER) performance of the traditional SIC-LMMSE-based MUD by mitigating error propagation. Second, for non-binary low density parity check (NB-LDPC) coded high-order modulation systems, when the proposed algorithm is integrated with partial mapping, the receiver with iterative detection and decoding (IDD) achieves not only better BER performance but also significantly computational complexity reduction over the traditional SIC-LMMSE-based IDD scheme. Extrinsic information transfer chart (EXIT) analysis and numerical simulations are both used to support the conclusions.

关键词： multiple-input multiple-output component-level soft interference cancellation non-binary LDPC iterative detection and decoding extrinsic information transfer chart

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A Component-level Soft Interference Cancellation Based iterative detection Algorithm for Coded MIMO Systems

A Component-level Soft Interference Cancellation Based Itera...

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IEEE Vehicular Technology Conference

作者： Jin Xu Xiaoming Dai Weiguo Ma Yingmin Wang School of Information and Communication Engineering Beijing University of Posts and Telecommunications State Key Laboratory of Wireless Mobile Communications China Academy of Telecommunications Technology

ISBN: (纸本)9781479944484

An iterative detection and decoding (IDD) scheme based on component-level soft cancellation (CLSC) and linear minimum mean-squared error (LMMSE) filtering for turbo coded multiple input multiple output (MIMO) multiplexing systems is proposed in this work. By exploiting the independence between the In-phase and Quadrature-phase branch, more accurate soft interference cancellation is realized. Extrinsic information transfer (EXIT) characteristics of the IDD system show that the proposed scheme exhibit faster convergence speed than the conventional one. Numerical results validate that the CLSC-LMMSE based detection algorithm achieves noticeable bit error rate (BER) performance over symbol-level soft cancelation (SLSC) based one, with only marginal complexity increase.

关键词： Component-level soft interference cancellation Multiple input multiple output Soft feedback iterative detection and decoding

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Shuffled iterative Receiver for LDPC-Coded MIMO Systems

Shuffled Iterative Receiver for LDPC-Coded MIMO Systems

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IEEE International Conference on Communications

作者： Peiyao Zhao Chen Qian Zhaocheng Wang Linglong Dai Sheng Chen Tsinghua National Laboratory for Information Science and Technology (TNList) Department of Electronic Engineering Tsinghua University Electronics and Computer Science University of Southampton

ISBN: (纸本)9781467364300

In this paper, we consider the low density parity check (LDPC) coded multi-input multi-output (MIMO) system with iterative detection and decoding (IDD). Since the traditional frame-by-frame receiver scheme suffers from a huge decoding delay, we propose an efficient scheme with a shuffled structure between the demapper and decoder, which adopts group vertical shuffled belief propagation (BP) algorithm. The proposed shuffled iterative receiver converges faster and significantly reduces the delay introduced by the IDD process. Simulation results demonstrate that our proposed shuffled iterative receiver exhibits several tenths dB of signal-to-noise ratio gain in comparison to the existing schemes, while imposing a much lower average number of iterations for the IDD process.

关键词： iterative detection and decoding MIMO Shuffled iterative receiver LDPC code Shuffled BP algorithm

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A mutual-information based power allocation algorithm for multi-layer rate splitting scheme in tri-sectored wireless networks

A mutual-information based power allocation algorithm for mu...

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2012 IEEE Global Communications Conference (GLOBECOM)

作者： Guangxia Zhou Wen Xu Gerhard Bauch Intel Mobile Communications Neubiberg Germany Institute of Communications Technische Universität Hamburg-Harburg Hamburg Germany

ISBN: (纸本)9781467309202

Cell-edge users inevitably suffer from strong interference from adjacent cells, and consequently their throughput will decrease. Recent investigations show that the Han-Kobayashi (HK) rate splitting scheme is the best known strategy to mitigate the interference for a two-user interference channel. However, its receiver is too complicated to implement in practical systems. This paper takes the multi-layer rate splitting (MLRS) scheme as an alternative and proposes a new mutual-information based power allocation algorithm for the MLRS scheme. Simulation results for the scenarios of two cell-edge users show that the proposed power allocation algorithm brings two advantages. First, it can reduce the complexity of receivers for the MLRS scheme. Second, it can achieve performance comparable to the simple HK scheme in a two-user fading interference channel and provide about 39% gains in terms of average throughput, compared with a fixed frequency reuse 2 scheme, in a realistic tri-sectored wireless network.

关键词： Interference mitigation Mutual information Rate splitting iterative detection and decoding IDMA LTE-A interleave division multiple access disturbance suppression Wireless networks splitting scheme power splitting Allocation Algorithm Interference channels Receivers Throughput

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Robust Multiuser Binary CPM detection with Unkown modulation index

Robust Multiuser Binary CPM Detection with Unkown modulation...

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European Signal Processing Conference

作者： Malek MESSAI Frederic GUILLOUD Karine AMIS Giulio COLAVOLPE Signal and Communication Department of Telecom Bretagne-Institut Telecom CNRS Lab-STICC (UMR 6285) Universita di Parma Dipartimento di Ingegneria dell'Informazione

ISBN: (纸本)9781479988518

We develop a robust multiuser detector for a Frequency Division Multiplexing (FDM) system where each user employs a binary continuous phase modulation (CPM) generated through a low-cost transmitter, thus characterized by a significant modulation index uncertainty, and sent over a channel affected by phase noise. In this FDM system the spectral efficiency can be increased by reducing the spacing between two adjacent channels. The proposed receiver is designed by adopting a simplified representation of a binary CPM signal with the principal component of its Laurent decomposition and is obtained by using the framework based on factor graphs and the sum-product algorithm. This detector can be used for iterative detection/decoding of a coded scheme in which each user employs a binary CPM modulator serially concatenated with an outer encoder through a pseudo-random interleaver. It does not require an explicit estimation of the modulation index nor of the channel phase and is very robust to large uncertainties of the nominal value of the modulation index.

关键词： Continuous phase modulation CPM-FDM Frequency spacing Spectral efficiency Modulation index mismatch Phase noise Factor graph Sum product iterative detection and decoding Factor Graph continuous phase modulation Phase noise spectral efficiency Critical path method Frequency division multiplexing Binary

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