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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61-70 订阅

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Chromatic dispersion compensation using complex-valued all-pass filter

Chromatic dispersion compensation using complex-valued all-p...

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European signal processing Conference (EUSIPCO)

作者： Jawad Munir Amine Mezghani Israa Slim Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

We propose a new optimization framework to compensate chromatic dispersion by complex-valued infinite impulse response (IIR) all-pass filter. The design of the IIR all-pass filter is based on minimizing the mean square error (MSE) in group-delay and phase cost functions. The necessary conditions are derived and incorporated into a multi-step optimization framework to ensure the stability of the resulting IIR filter. It is shown that IIR filter achieves similar or slightly better performance compared to its finite impulse response (FIR) counterpart. Moreover, IIR filtering requires significantly less number of taps to compensate the same CD channel compared to FIR filtering.

关键词： Equalizers Finite impulse response filters Delays Optimization Bit error rate Optical noise signal to noise ratio

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Minimizing the energy per bit for pilot-assisted data transmission over quantized channels

Minimizing the energy per bit for pilot-assisted data transm...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Qing Bai Ulrich Mittmann Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

To communicate over a priori unknown channels, pilot sequences can be exploited to assist the receiver in obtaining the channel state information. The analog-to-digital converter (ADC) at the front end of the receiver samples and quantizes the input signal, including both pilot and data symbols. This results in a reduction of the receive signal-to-noise ratio (SNR) as well as deteriorated quality of channel estimation, which depends quantitatively on the bit resolution used by the ADC. In this work, we consider the point-to-point, training based communication between a single-antenna transmitter and a multi-antenna receiver over a Rayleigh block fading channel, and take into account the impact of the ADC for a joint optimization of the training length, the average receive SNR, the number of receive antennas, and the bit resolution of the ADC. Goal of the optimization is to minimize the energy per bit metric, where we include both transmit power and power dissipation of the ADC into the energy consumption model, and employ a capacity lower bound which depends on all aforementioned design parameters. Results from numerical simulations are demonstrated and analyzed, leading to a number of insightful observations and conclusions which are important for the energy efficient operation of the system.

关键词： Receivers Training signal to noise ratio Channel estimation Energy resolution Quantization (signal) Optimization

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Experimental demonstration of joint frame synchronization and carrier-frequency estimation for training-aided digital coherent receivers

Experimental demonstration of joint frame synchronization an...

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signal processing in Photonic Communications, SPPCom 2014

作者： Pittalà, Fabio Mao, Bangning Nossek, Josef A. European Research Center Huawei Technologies Duesseldorf GmbH Riesstrasse 25 D-80992 Munich Germany Institute for Circuit Theory and Signal Processing Technische Universität München Arcisstrasse 21 D-80290 Munich Germany

Joint frame synchronization and carrier-frequency estimation employing CAZAC sequences is demonstrated in a 42:5 GBaud PDM-QPSK transmission system. Experimental verification has been performed on data transmitted ove... 详细信息

ISBN: (纸本)9781557527370

关键词： E-learning

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ENERGY-CONSTRAINED THROUGHPUT MAXIMIZATION FOR POINT-TO-POINT COMMUNICATIONS

ENERGY-CONSTRAINED THROUGHPUT MAXIMIZATION FOR POINT-TO-POIN...

引用

IEEE International Conference on Acoustics, Speech and signal processing

作者： Qing Bai Jingrui Li Josef A. Nossek Technische Universitat Munchen Institute for Circuit Theory and Signal Processing Theresienstr. 90 80333 Munich Germany

ISBN: (纸本)9781479928941

We consider a very basic communication scenario: a transmitter sends data to a receiver over a single invariant link, where each side has a certain energy budget which is a common restriction for sensor nodes powered by batteries or energy harvesting components. Given the channel coefficient, the instantaneous data rate that can be achieved depends on the transmit power employed by the transmitter, and the resolution of the analog-to-digital converter (ADC) employed by the receiver. The power consumptions of the transmitter and the receiver also depend, respectively, on these two parameters. In this paper we seek to answer the question: what is the transmit and receive strategy that leads to the maximal throughput achieved on a finite time interval [0,T], given the individual energy constraints at the transmitter and the receiver? The underlying control problem, which is found non-convex in its original form, can be made convex by a reconstruction of the power-rate surface based on which the optimal solution can be conveniently determined.

关键词： Transmitters transmitter receivers Throughput Transmitter power Communication Research Receivers ORIGINAL Non-Convex Energy budget analog digital converter two parameter Batteries optimal solution TRANSMITTING Convexity

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Nano-antenna arrays for the infrared regime 18

Nano-antenna arrays for the infrared regime

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18th International ITG Workshop on Smart Antennas, WSA 2014

作者： Szakmany, Gergo P. Orlov, Alexei O. Bernstein, Gary H. Porod, Wolfgang Bareiss, Mario Lugli, Paolo Russer, Johannes A. Jirauschek, Christian Russer, Peter Ivrlač, Michel T. Nossek, Josef A. Center for Nano Science and Technology Department of Electrical Engineering University of Notre Dame Notre DameIN United States Institute for Nanoelectronics Technische Universität Mü Nchen Munich Germany Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

ISBN: (纸本)9783800735846

Infrared detectors for the long-wave infrared range (lwir) are of special interest due to their ability to detect blackbody radiation of objects at room temperature. Such detectors are attractive candidates for various applications including energy harvesting, target tracking, and thermal imaging, but their applications to communication systems have been largely unexplored. In this paper, we combine our previous work on antenna-coupled thermocouples with a new approach to near-field-coupled nanoantennas, which might open up the possibility of obtaining carrier phase after envelope demodulation. © VDE Verlag GMBH · Berlin · Offenbach, Germany.

关键词： Thermocouples

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Spectral efficient channel estimation algorithms for FBMC/OQAM systems: A comparison

Spectral efficient channel estimation algorithms for FBMC/OQ...

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Leonardo G. Baltar Amine Mezghani Josef A. Nossek Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany Technische Universitat Munchen Munchen Bayern DE

ISBN: (纸本)9781479958641

Spectrally efficient channel impulse response (CIR) estimation in the sense of minimal training overhead is a key issue for the successful deployment of Filter Bank Multicarrier (FBMC) with Offset Quadrature Amplitude Modulation (OQAM). In this contribution we perform a comparison between channel estimation algorithms considering two different models for the received subcarrier signals: a per-subcarrier narrowband and a broadband channel model. We also consider three cases of spectrally efficient channel estimation by employing different training sequence occupation of the subcarriers.

关键词： Training Channel estimation Broadband communication Narrowband Vectors Estimation Interference

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Space-time adaptive principle component analysis for time-delay estimation

Space-time adaptive principle component analysis for time-de...

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Sensor Array and Multichannel signal processing Workshop

作者： Felix Trötschel Felix Antreich Josef A. Nossek German Aerospace Center (DLR) Institute of Communications and Navigation Oberpfaffenhofen Germany Technical University of Munich (TUM) Institute for Circuit Theory and Signal Processing Munich Germany

In this work we present a blind approach based on space-time adaptive principle component analysis using an antenna array and a compression method based on canonical components in order to mitigate multipath for Global Navigation Satellite Systems (GNSS). First, pre-processing algorithms are used to separate (decorrelate) the different sources in the compressed space-time eigenspace and then the time-delay estimation is performed with a simple interpolation scheme in the compressed time domain. The proposed algorithm is capable of separating highly correlated and even coherent signals and approaches the respective Cramer-Rao lower bound (CRLB) for time-delay estimation in the compressed time domain.

关键词： Arrays Estimation Global Positioning System Correlators signal processing Covariance matrices Conferences

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Experimental demonstration of single-stage frequency domain equalization for single-carrier coherent receivers

Experimental demonstration of single-stage frequency domain ...

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European Conference on Optical Communication (ECOC)

作者： Fabio Pittalà Bangning Mao Fotini Karinou Gernot Goeger Josef A. Nossek European Research Center Huawei Technologies Duesseldorf GmbH Munich Germany Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

Low complexity, single-stage frequency-domain equalization supported by blind CD estimation and training-aided 2×2 MIMO channel estimation is proposed and experimentally demonstrated in a 32 GBaud Nyquist PDM-QPS... 详细信息

关键词： Digital signal processing MIMO Bit error rate Equalizers Optical receivers Estimation

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Quantization-loss analysis for array signal-source localization 17

Quantization-loss analysis for array signal-source localizat...

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17th International ITG Workshop on Smart Antennas, WSA 2013

作者： Stein, Manuel Mezghani, Amine Nossek, Josef A. Institute for Circuit Theory and Signal Processing Technische Universität München Germany

ISBN: (纸本)9783800734665

This work investigates the problem of low SNR signal-source localization with an array of sensors. Keeping the receive system simple, we focus on analog-to-digital converters (ADC) with coarse resolution. In order to increase the localization accuracy and minimize the size of the receiver, we discuss the effect of analog filtering and antenna spacing on the Fisher information measure. In particular, the beneficial influence of temporal and spatial noise correlation produced by the analog receive filter and antenna coupling is considered. Results for the extreme case of 1-bit hard-limiting quantizers show that it is possible to compensate the quantization-loss of the optimum unbiased estimator through the correct choice of the analog frontend and antenna design. Further, our investigation shows that for array receivers high resolution parameter estimation is still possible with antenna spacings far below=2. © WSA 2013 - 17th International ITG Work. on Smart Antennas. All rights reserved.

关键词： signal to noise ratio

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Quantization-loss reduction for 1-bit BOC positioning

Quantization-loss reduction for 1-bit BOC positioning

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institute of Navigation International Technical Meeting 2013, ITM 2013

作者： Wendler, Friederike Stein, Manuel Mezghani, Amine Nossek, Josef A. Institute for Circuit Theory and Signal Processing Technische Universität München Germany

ISBN: (纸本)9781627481380

Accurate time-delay measurement is essential for positioning with Global Navigation Satellite Systems (GNSS). For mobile receivers small cost, moderate complexity and low energy consumption are desirable. In contrast, Safety-of-Life (SoL) applications require fast processing in order to meet strict time constraints. Concerning these technical considerations, single bit analog-to-digital converters (ADC) are highly attractive as they are simple to build, require low energy and allow to realize high sampling rates and fast digital processing. On the other hand, such systems introduce a loss in the estimation accuracy. In this work we derive a mathematical model for 1-bit GNSS receivers, which takes into account the effects of the analog filters and the non-linear quantizer in the receiver front-end. Based on this refinement we derive analytic formulations for the receiver performance by resorting to the estimation theoretic tools which have become popular for the analysis of ideal receivers with infinite resolution. Finally, we verify the 1-bit quantization-loss for time-delay estimation systems, acting in low SNR scenarios, and investigate possible approaches to reduce this degradation by adjusting the analog front-end.

关键词： Estimation

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