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advanced Baseband processing algorithms, Circuits, and implementations for 5G Communication

IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS 2017年第4期7卷 477-490页

作者： Zhang, Chuan Huang, Yuan-Hao Sheikh, Farhana Wang, Zhongfeng Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Natl Tsing Hua Univ Dept Elect Engn Hsinchu 30013 Taiwan Natl Tsing Hua Univ Inst Commun Engn Hsinchu 30013 Taiwan Intel Corp Circuit Res Lab Intel Labs Hillsboro OR 97124 USA Nanjing Univ Sch Elect Sci & Engn Nanjing 210046 Jiangsu Peoples R China

The rapid emergence of 5G communications technology and standardization has seen an accelerated transfer of theoretical concepts to advanced development and implementation. Not only are 5G baseband signal processing algorithms becoming more important, but also the co-design and implementation of corresponding circuits, architectures, and platforms are becoming necessary due to rapid standardization of 5G communications. This timely overview paper introduces circuits and systems (CAS) for key enabling technologies for the new 5G era: massive MIMO, mmWave baseband systems, NOMA schemes, advanced channel coding, and so on. The state-of-the-art research progress in these areas is summarized for interested readers to initiate discussion on limitations of existing solutions and open research problems that are looking for innovative solutions, especially in the CAS area. We hope this paper can bridge the gap between the theoretical investigation and application implementation for 5G communications.

关键词： 5G baseband implementations massive MIMO mmWave precoder non-orthogonal multiple-access (NOMA) schemes channel decoders

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Comparison of time-frequency signal analysis techniques with application to speech recognition

Comparison of time-frequency signal analysis techniques with...

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advanced signal processing algorithms, architectures, and implementations III

作者： Reilly, Andrew P. Boashash, Boualem Queensland Univ. of Technology Brisbane Queensland Australia

ISBN: (纸本)081940943X

Techniques for machine recognition of speech exist, but use representations of the speech signal which cannot convey some of the speech information. Alternatives from time-frequency and time-scale analysis are compared with the traditional methods with a view to improving the word recognition rate. Experiments have shown the speech recognition rate improves in some cases.

关键词： Speech recognition

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Image processing and low discrepancy sequences

Image processing and low discrepancy sequences

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Conference on advanced signal processing algorithms, architectures, and implementations IX

作者： Nair, D Wenzel, L Natl Instruments Austin TX 78727 USA

ISBN: (纸本)0819432938

It is well known that high-dimensional integrals can be solved with Monte Carlo algorithms. Recently, it was discovered that there is a relationship between low discrepancy sets and the efficient evaluation of higher-dimensional integrals. Theory suggests that for midsize dimensional problems, algorithms based on low discrepancy sets should out perform all other existing methods by an order of magnitude in terms of the number of sample points used to evaluate the integrals. We show that the field of image processing can potentially take advantage of specific properties of low discrepancy sets. To illustrate this, we applied the theory of low discrepancy sequences to some relatively simple image processing and computer vision related operations such as the estimation of gray level image statistics, fast location of objects in a binary image and the reconstruction of images from a sparse set of points. Our experiments show that compared to standard methods, the proposed new algorithms are faster and statistically more robust. Classical low discrepancy sets based on the Halton and Sobol' sequences were investigated thoroughly and showed promising results. The use of low discrepancy sequences in image processing for image characterization, understanding and object recognition is a novel and promising area for further investigation.

关键词： sampling random sampling low-discrepancy sequences image statistics image reconstruction

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Spatial polarimetric time-frequency distributions and applications to direction-of-arrival estimation

Spatial polarimetric time-frequency distributions and applic...

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Conference on advanced signal processing algorithms architectures and implementations XIII

作者： Zhang, YM Amin, MG Obeidat, BA Villanova Univ Ctr Adv Commun Villanova PA 19085 USA

ISBN: (纸本)0819450782

Time-frequency distributions (TFDs) have evolved to be a powerful technique for nonstationary signal analysis and synthesis. With the use of a multi-sensor array, spatial time-frequency distributions (STFDs) have been developed and successfully applied to high-resolution direction-of-arrival (DOA) estimation and blind recovery of the source waveforms. In this paper, the polarimetric dimension is introduced to the STFDs resulting in the spatial polarimetric time-frequency distributions (SPTFDs) as a platform for the processing of non-stationary polarized signals. In the SPTFD platform, polarized signals are decomposed (projected) into two orthogonal polarization components, such as horizontal and vertical, and later processed in a manner where their polarization characteristics are exploited. This empowers the STFDs with additional degrees of freedom and improves the robustness of the signal and noise subspaces, and therefore, serving to enhance DOA estimation, signal recovery, and source separation performance. To demonstrate the advantages of the SPTFDs, the polarimetric time-frequency MUSIC (PTF-MUSIC) method for DOA estimation is proposed based on the SPTFD platform and is shown to outperform the time-frequency, polarimetric, and conventional MUSIC methods.

关键词： time-frequency distributions array signal processing polarization smart antennas MUSIC

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NRL FLEX radar signal-processing architecture: an update

NRL FLEX radar signal-processing architecture: an update

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advanced signal processing algorithms, architectures, and implementations III

作者： Alter, James J. Evins, James B. Popick, Glen L. Scott, Russell A. Letellier, J.P. Naval Research Lab. Washington DC USA

ISBN: (纸本)081940943X

The NRL FLEX processor architecture is designed for real-time radar signal processing and was described at last year's conference in the context of its original application, the Point Defense Demonstration Radar project at NRL. This paper describes the current status of the processor and the application of the same architecture to a new problem which requires a different board configuration to satisfy a different set of latency and data flow requirements.

关键词： Radar systems

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Construction of signal-dependent Cohen's-class time-frequency distributions using iterative blind deconvolution

Construction of signal-dependent Cohen's-class time-frequenc...

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Conference on advanced signal processing algorithms architectures and implementations XIII

作者： Yagle, AE Torres-Fernández, JE Univ Michigan Dept EECS Ann Arbor MI 48109 USA

ISBN: (纸本)0819450782

The problem of kernel design for Cohen time-frequency distributions is formulated as a blind deconvolution problem. It is shown that the iterative blind deconvolution method (IBDM) used in image restoration problems can be successfully applied to solve the kernel design problem. We obtain the following results: (1) the rate of convergence depends on which domains the constraints are imposed (2) certain constraints are needed for algorithm convergence (3) the more constrained the kernel design is, the faster the rate of convergence (4) there are tradeoffs between constraints, e.g., compact support vs. satisfaction of marginals;(5) time-frequency distributions which are more amenable to visual interpretation can be obtained using this algorithm.

关键词： time-frequency distributions blind deconvolution

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Applications of non-uniform multi-gabor expansions to time-frequency analysis

Applications of non-uniform multi-gabor expansions to time-f...

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Conference on advanced signal processing algorithms architectures and implementations XIII

作者： Hoffman, M Li, SD San Francisco State Univ Dept Math San Francisco CA USA

ISBN: (纸本)0819450782

We present a non-uniform multi-Gabor expansion (MGE) algorithm in which multiple windows and their corresponding translations and modulations are used for signal analysis. Analysis windows of varying supports, each corresponding to a chosen. scale of detail, decompose a signal using different translation and modulation parameters for each scale. Structural analysis of dual synthesis waveforms is provided. We show that synthesis waveforms can still be formed from translations and modulations of a set of basic dual windows at each scale. The use of different translation and modulation parameters at each scale allows for a more refined and concise time-frequency representation of the signal, while retaining the versatility of uniform MGEs in representing signal dynamics at many different scales. Examples of implementation and practical application will be presented.

关键词： Modulation Magnesium Matrices Time-frequency analysis Thulium Mathematics signal analysis Structural analysis Astronomy Physics

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A sharpness metric implementation for image processing applications with feedback

A sharpness metric implementation for image processing appli...

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Conference on advanced signal processing algorithms, architectures, and Implementantions XVIII

作者： Lam, Eric P. Thales Rayheon Syst Battlefield Radar Fullerton CA USA

ISBN: (纸本)9780819472946

Some image processing applications require an image meet a quality metric before processing it. If an image is so degraded that it is difficult or impossible to reconstruct, the input image may be discarded. In this paper, we present a metric that measures the relative sharpness with respect to a reference image frame. The reference frame may be a previous input image or an output frame from the system. The sharpness metric is based on analyzing edges. The assumption of this problem is that input images are similar to each other in terms of observation angle and time.

关键词： image processing system closed-loop system sharpness metric edge frame

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Interleaver design for high speed turbo decoders

Interleaver design for high speed turbo decoders

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Conference on advanced signal processing algorithms architectures and implementations XIII

作者： Abbasfar, A Yao, K Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA

ISBN: (纸本)0819450782

Recently some efficient parallel architectures for turbo decoder have been proposed. In these architectures the bottleneck for the parallelization of the decoder is the interleaver. On the other hand, turbo codes achieve a very impressive near Shannon-capacity performance in which the interleaver plays a crucial role. Therefore, it is of great interest to design interleavers that are good from both performance and parallelization point of views. In this paper we have proposed an interleaver structure that is suitable for parallelization of turbo decoders. It is shown that such an interleaver can be designed to have good BER performance as well. By this structure not only fast decoders with very low latency can be built, but also the regularity of the decoder and the simplicity of the interleaver structure make them promising for VLSI implementation. We also present a fast algorithm to design such an interleaver, which can be used to design S-random interleavers as well. Such interleavers have been designed and the performances are compared to that of S-random interleavers by simulations.

关键词： Turbo Code interleaver design parallel processing high speed Turbo decoder

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PARAMETRIC METHODS FOR NONSTATIONARY SEISMIC DATA-ANALYSIS 4

PARAMETRIC METHODS FOR NONSTATIONARY SEISMIC DATA-ANALYSIS

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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： MAIWALD, D MOLLE, JWD BOHME, JF Ruhr-Univ. Bochum (Germany) Imperial College of Science Technology and Medicine (United Kingdom)

ISBN: (纸本)0819412767

We investigate the estimation of both the number of waves and the wave parameters for transient wavefields in a geophysical application. Models of the earth have to be verified by seismogram analysis. We present two nonparametric methods for the estimation of wave parameters where one is based on the first-order stationary spectrum and the other one is based on the second-order cumulant spectrum. We also investigate a parametric method for wave parameter estimation which allows us to determine the number of incident waves. The algorithms are applied to synthetic seismic data.

关键词： Sensors Data modeling Phased arrays signal detection Algorithm development Data analysis Fourier transforms Statistical analysis Earthquakes Wave propagation

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