1993 documents found.

Nonlinear analysis and synthesis of distributed voltage controlled oscillators
Ana Collado, Alessandro Acampora, Apostolos Georgiadis
Published online : 01-04-2010
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A detailed nonlinear analysis and design of a distributed voltage controlled oscillator (DVCO) is presented in this work. The analysis and design of the DVCO is performed using harmonic balance-based simulation techniques and envelope transient simulation. These techniques are used to make a complete nonlinear study of the behavior of the DVCO. Using the proposed nonlinear tools, a DVCO operating
Possibilities of wireless power supply
Jan Kracek, Milos Mazanek
Published online : 01-04-2010
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This paper presents an overview of the principles suitable for wireless power supply of devices with a small power input in picocells. This means predominantly different types of small electric devices in the space of rooms. Basic principles, namely electromagnetic induction and electromagnetic wave, are explained using examples of developed systems. Different types of wireless power systems are c
WiMAX parameters adaptation through a baseband processor using discrete particle swarm method
Ali Al-Sherbaz, Torben Kuseler, Chris Adams, Roman Marsalek, Karel Povalac
Published online : 01-04-2010
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The measurements of physical level parameters can become the area where decisions about cognitive radio will have the most striking effect. Field-programmable gate array (FPGA) enables real-time analyses of physical layer data to satisfy constraints like dynamic spectrum allocations, data throughput, and the coding rate. Cognitive radio will be based on simple network management techniques, using
Recursive learning-based joint digital predistorter for power amplifier and I/Q modulator impairments
Lauri Anttila, Peter Händel, Olli Mylläri, Mikko Valkama
Published online : 01-04-2010
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The main implementation impairments degrading the performance of direct-conversion radio transmitters are in-phase/quadrature (I/Q) mismatch, local oscillator (LO) leakage, and power amplifier (PA) nonlinear distortion. In this article, we propose a recursive least-squares-based learning algorithm for joint digital predistortion (PD) of frequency-dependent PA and I/Q modulator impairments. The pre
Modeling and mitigation of nonlinear distortion in wideband A/D converters for cognitive radio receivers
Markus Allén, Jaakko Marttila, Mikko Valkama
Published online : 01-04-2010
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This article discusses the reduction of nonlinearities in analog-to-digital (A/D) converters using digital signal processing (DSP). Also modeling of certain essential nonlinearities is considered in detail. The main focus is on wideband radio receivers, such as the emerging cognitive radio applications, where a collection of signals at different frequency channels is converted to digital domain as
Analysis and mitigation of phase noise and sampling jitter in OFDM radio receivers
Ville Syrjälä, Mikko Valkama
Published online : 01-04-2010
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This article addresses the analysis and digital signal processing (DSP)-based mitigation of phase noise and sampling clock jitter in orthogonal frequency division multiplexing (OFDM) radios. In the phase noise studies, the basic direct-conversion receiver architecture case is assumed with noisy downconverting oscillator. In the sampling jitter case, on the other hand, the so-called direct-radio-fr
Spectrum optimization in ultra-wideband systems
Elena Pancera, Jens Timmermann, Thomas Zwick, Werner Wiesbeck
Published online : 01-04-2010
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In this paper the non-ideal and frequency-dependent behavior of the hardware components of the ultra-wideband (UWB) transmitter RF-front end is analyzed. Both digital and analytical methods to compensate for this frequency-dependent behavior are investigated, in order to optimize the radiated wave, so that its spectrum perfectly matches the given mask. An example of spectral system optimization wi
De-ghosting of tomographic images in a radar network with sparse angular sampling
Angie Fasoula, Hans Driessen, Piet van Genderen
Published online : 01-08-2010
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Taking into account sparsity of the reflectivity function of several radar targets of interest, efficient low-complexity automatic target recognition (ATR) systems can be designed. Such ATR systems would be based on two-dimensional (2D) spatial target models of low dimensionality, where critical information on the radar target signature is summarized. Discrete 2D radar target models can be estimat
MRF volume 2 issue 1 Cover and Back matter
Published online : 01-02-2010
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MRF volume 2 issue 1 Cover and Front matter
Published online : 01-02-2010
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