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检索条件"机构=Institute of Circuit Theory and Signal Processing"

共 381 条记录，以下是31-40 订阅

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Design Optimization of SIMO Receivers with Compact Uniform Linear Arrays and Limited Precision A/D Conversion

Design Optimization of SIMO Receivers with Compact Uniform L...

引用

WSA 2015;19th International ITG Workshop on Smart Antennas

作者： Qing Bai Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universitat Munchen

Antenna arrays can be made compact when the spacing between adjacent antennas is reduced to less than half of the wavelength. This facilitates the deployment of multiple antennas to communication devices that are limited in their physical dimensions, yet introduces significant spatial correlation between the channels as well as antenna mutual coupling. With careful design of a matching network at the receiver front-end, the antennas can be decoupled and superior performance can be achieved as compared to half-wavelength arrays. In this work, we investigate the design optimization of a multi-antenna receiver with a compact uniform linear array, where we try to find the optimal antenna spacing and the number of antennas that lead to the maximal channel capacity and energy efficiency of the system. Moreover, we take into account the impact of A/D conversion with limited precision, which results in a trade-off between quantization error and power consumption. Simulation results accentuate the advantage of using small compact antenna arrays and low bit resolutions for the A/D converters.

关键词： Optimal design ANTENNA uniform linear arrays analog digital converter multiple antenna Antenna arrays half-wave Energy efficiency Compact Compact Pattern communication equipment matching network Mutual coupling Quantization Receivers

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SIMO/MISO MSE-Duality for Multi-User FBMC with Highly Frequency Selective Channels

SIMO/MISO MSE-Duality for Multi-User FBMC with Highly Freque...

引用

WSA 2015;19th International ITG Workshop on Smart Antennas

作者： Oliver De Candido Leonardo G. Baltar Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universitat Munchen

Filter Bank based Multicarrier (FBMC) with Offset-QAM (O-QAM) modulation is one of the strong candidates for the physical layer of 5-th generation mobile communication systems. The combination of FBMC/OQAM with multiple antennas in a multi-user scheme poses some challenges towards the design of equalizers and precoders due to the frequency overlapping of the sub-carriers, especially in environments with highly frequency selective channels. In this work we first calculate a fractionally spaced Minimum Mean Square Error (MMSE)-based equalizer design to accommodate multi-user (MU) Single Input Multiple Output (SIMO)-FBMC. Then, we apply the Mean Square Error (MSE)-duality to calculate the corresponding precoders for MU Multiple Input Single Output (MISO)-FBMC. Furthermore, we present four possibilities for the power allocation between users and sub-carriers. We finally show the performance superiority of the new method compared to a recently proposed method.

关键词： selective channel Equalizers Mean square error power splitting Subcarriers single input-multiple output multiple antenna Physical layer multi-user Quadrature amplitude modulation Filter banks

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Intercell Interference Blindness in Fairness Optimizations

Intercell Interference Blindness in Fairness Optimizations

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WSA 2015;19th International ITG Workshop on Smart Antennas

作者： Yixin Song Hans H. Brunner Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universitat Munchen

In the downlink of a cellular network with channel state information on a limited number of interference channels, the intercell interference (ICI) variance at a mobile device can change unpredictably. This ICI blindness leads to outages or a waste of resources because the link rate adaptation is based on an assumed signal to interference plus noise ratio. Different approaches to deal with ICI blindness have been discussed and compared with sum rate maximizations. In this paper, we extend the handling of the ICI blindness problem to fairness optimizations. Fairness scheduling realizes fairness over many time slots, which includes Round Robin, ThroughPut Fairness and Proportional Fairness. Algorithms are developed to combine the ICI robustness methods and fairness criteria and the performance of the different combinations are compared.

关键词： ICI Blindness inter-cell interference Channel state information waste resources signal to noise ratios Cellular networks Mobile devices inert waste interference interference

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Weighted Sum Rate Maximization with Multiple Linear Conic Constraints

Weighted Sum Rate Maximization with Multiple Linear Conic Co...

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IEEE International Conference on Communications

作者： Hans H. Brunner Andreas Dotzler Wolfgang Utschick Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universitat Munchen Associate Institute for Signal Processing Technische Universitat Munchen

ISBN: (纸本)9781467364300

In the downlink (DL) of a multi-user multiple-input and multiple-output (MU-MIMO) system, the maximization of the weighted sum rate with dirty paper precoding (DPC) is treated under multiple linear and linear conic constraints. By network duality, the problem is transformed to a minimax uplink (UL) problem. In the UL, the minimization of the utility with respect to the noise covariance and the maximization of the utility with respect to the transmit covariances is solved either jointly or alternately with the gradient-projection algorithm. The proposed algorithms do not only allow to find the maximum weighted sum rate with respect to conic constraints, they are also efficient implementations with respect to multiple linear constraints.

关键词： Covariance matrices Noise signal processing algorithms Joints Interference Optimization Shape

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Power- and spectral efficient communication system design using 1-bit quantization

Power- and spectral efficient communication system design us...

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Hela Jedda Muhammad Mudussir Ayub Jawad Munir Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Munich University of Technology Munich Germany

Improving the power efficiency and spectral efficiency of communication systems has been one of the major research goals over the recent years. However, there is a trade-off in achieving both goals at the same time. In this work, we consider the joint optimization of the power amplifier and a pulse shaping filter over a single-input single-output (SISO) additive white Gaussian noise (AWGN) channel using 1-bit analog-to-digital (ADC) and digital-to-analog (DAC) converters. The goal of the optimization is the selection of the optimal system parameters in order to maximize the desired figure-of-merit (FOM) which is the product of power efficiency and spectral efficiency. Simulation results give an insight in choosing the optimal parameters of the pulse shaping filter and power amplifier to maximize the desired FOM.

关键词： Bandwidth Power demand signal to noise ratio Radio frequency Nonlinear distortion Band-pass filters

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1-bit direction of arrival estimation based on Compressed Sensing

1-bit direction of arrival estimation based on Compressed Se...

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IEEE Workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Christoph Stöckle Jawad Munir Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Munich University of Technology Munich Germany

Massive MIMO plays an important role for future cellular networks since the large number of antenna elements is capable of increasing the spectral efficiency and the amount of usable spectrum. The 1-bit analog-to-digital converters can drastically reduce the resulting complexity and power consumption. Therefore, we investigate the Direction of Arrival (DoA) estimation using 1-bit measurements of many antenna elements in this paper. We extend Binary Iterative Hard Thresholding (BIHT), an efficient sparse recovery algorithm from the area of Compressed Sensing (CS) that takes the 1-bit quantization explicitly into account, to complex-valued signals and multiple measurement vectors such that it is applicable to 1-bit DoA estimation with multiple snapshots. The comparison of the resulting Complex-valued BIHT (CBIHT) algorithm to subspace- and CS-based methods in terms of both DoA estimation performance and computational complexity demonstrates that CBIHT is well suited for scenarios with many antenna elements and a few snapshots.

关键词： Direction-of-arrival estimation Estimation Antenna measurements Computational complexity Multiple signal classification Quantization (signal) Antennas

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Covariance based signal parameter estimation of coarse quantized signals

Covariance based signal parameter estimation of coarse quant...

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International Conference on Digital signal processing (DSP)

作者： Kilian Roth Jawad Munir Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Technical University Munich Munich Germany

The use of low resolution analog-to-digital converters is an effective solution to reduce the complexity and the power consumption of the analog front-end, especially in the context of massive multiple-antenna and large system bandwidth. However, most well-known signal parameter estimation algorithms assume that the receiver has access to the observations data with infinite precision. In this paper, we investigate a method to improve the performance of covariance based algorithms that operate on quantized signals. To this end, we use a particular transformation between the input and output second order statistics when affected by non-linear processing. By applying this transformation, we could then utilize standard algorithms with almost no additional complexity. The introduced method is also of particular interest in the context of adaptive signal processing, since many adaptive processing algorithms are based on estimating the received signal covariance matrices. Through simulations, we show that the method is capable of improving the estimation performance especially in the extreme case of one-bit quantization.

关键词： Quantization (signal) Covariance matrices Receivers Estimation Correlation MIMO Mathematical model

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Precoder and equalizer design for multi-user MIMO FBMC/OQAM with highly frequency selective channels 40

Precoder and equalizer design for multi-user MIMO FBMC/OQAM ...

引用

40th IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2015

作者： Cheng, Yao Baltar, Leonardo G. Haardt, Martin Nossek, Josef A. Communications Research Laboratory Ilmenau University of Technology P.O. Box 100565 Ilmenau Germany Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

ISBN: (纸本)9781467369978

In this contribution we propose two new designs of transmit and receive processing for multi-user multiple-input-multiple-output (MIMO) downlink systems that employ filter bank based multicarrier with offset quadrature amplitude modulation (FBMC/OQAM). Our goal is to overcome the limits on the channel frequency selectivity and/or the allowed number of receive antennas per user terminal that are imposed on the state-of-the-art solutions. In the first method the design of precoders and equalizers is iterative and minimum mean square error (MMSE) based. The second is a closed-form design based on the signal-to-leakage ratio (SLR). Via numerical simulations we evaluate the performance of both methods and demonstrate their superiority over two other approaches in the literature. © 2015 IEEE.

关键词： FBMC/OQAM multi-user MIMO downlink precoding

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Efficient Filter Bank Multicarrier Realizations for 5G

Efficient Filter Bank Multicarrier Realizations for 5G

引用

IEEE International Symposium on circuits and Systems

作者： Leonardo G. Baltar Israa Slim Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universitat Munchen 80290 Munich Germany

ISBN: (纸本)9781479983926

In this contribution we compare different realizations of the polyphase networks employed in Offset QAM based Filter Bank Multicarrier (OQAM-FBMC). Our objective is to evaluate the structures' computational cost and robustness for very low complexity implementations of the prototype filter coefficients. We compare a direct form, a classical lattice realization, where in both the Canonical Signed Digit (CSD) representation of the coefficients is applied, and a Coordinate Rotation by Digital Computer (CORDIC)-based lattice structure. We evaluate the cost after coefficient quantization in terms of number of additions and shifts. By considering the multicarrier application, we show the effects of coefficient quantization on the subcarrier filters spectrum and on the multicarrier transmit signal Power Spectral Density (PSD).

关键词： Lattices Prototypes Complexity theory Quantization (signal) Filter banks Rotors Frequency response

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signal parameter estimation performance under a sampling rate constraint

Signal parameter estimation performance under a sampling rat...

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Asilomar Conference on signals, Systems & Computers

作者： Andreas Lenz Manuel Stein Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universität München Germany

ISBN: (纸本)9781467385770

Recently it has been found, that the receive filter design rule 2B r s, known as the sampling theorem, does not necessarily lead to optimum signal parameter estimation performance. This is in particular the case if the transmit bandwidth B t is higher than the sampling bandwidth of the receiver, i.e., 2B t > f s . While this result has been obtained under the assumption of ideal low-pass filters, here we extend the analysis by taking into account the possibility of optimizing the filter transfer function. We formulate the problem of finding the best unconstrained analog receive filter with respect to the asymptotic estimation performance on the basis of the Fisher information. It is shown that the problem of optimizing the filter coefficients can be decomposed into N subproblems, each reducing to a binary decision rule for the spectral filter coefficients. Based on these findings we show examples of optimized ideal filters and compare their estimation performance with classical low-pass filters. The results give insights into favorable designs of realizable filters and allow to explore the theoretic performance limits of signal processing systems with sampling rate constraints.

关键词： Optimization Maximum likelihood estimation Receivers Noise measurement signal reconstruction

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