We examine and compare the different types of linear transmit processing for multiple input, output systems, where we assume that receive filter is independent contrary to joint optimization filters. can identify three similar processing: matched filter, zero-forcing Wiener filter. show filters are based on optimizations as respective with an additional constraint power. Moreover, has convergence properties i.e., it converges low high signal-to-noise ratio, respectively. give closed-form...

ESPRIT is a high-resolution signal parameter estimation technique based on the translational invariance structure of sensor array. Previous algorithms do not use fact that operator representing phase delays between two subarrays unitary. The authors present simple and efficient method to constrain estimated factors unit circle, if centro-symmetric array configurations are used. Unitary ESPRIT, resulting closed-form algorithm, has an ESPRIT-like except for it formulated in terms real-valued...

Bifurcation phenomena and chaotic behavior in cellular neural networks are investigated. In a two-cell autonomous system, Hopf-like bifurcation has been found, at which the flow around origin, an equilibrium point of changes from asymptotically stable to periodic. As parameter grows further, by reaching another value, generated limit cycle disappears network becomes convergent again. Chaos is also presented three-cell system. It shown that attractor found here properties similar famous...

Abstract A network structure called a discrete‐time cellular neural is introduced. It derived from networks and feedback threshold networks. the architecture discussed its advantages are presented. Convergence proved for large class of templates applications given following image‐processing tasks: linear thresholding, connected component detection, hole filling, concentric contouring, increasing decreasing objects step by step, searching with minimal distance, oscillation.

This paper presents a new Jacobi-type method to calculate simultaneous Schur decomposition (SSD) of several real-valued, nonsymmetric matrices by minimizing an appropriate cost function. Thereby, the SSD reveals "average eigenstructure" these matrices. enables R-dimensional extension Unitary ESPRIT estimate undamped modes or frequencies along with their correct pairing in multidimensional harmonic retrieval problems. is ESPRIT-type high-resolution frequency estimation technique that...

We study the performance of multi-input multi-output (MIMO) channels with coarsely quantized outputs in low signal-to-noise ratio (SNR) regime, where channel is perfectly known at receiver. This analysis interest context ultra-wideband (UWB) communications from two aspects. First available power spread over such a large frequency band, that spectral density extremely and thus SNR low. Second analog-to-digital converters (ADCs) for high bandwidth signals should be low-resolution, order to...

We derive the transmit Wiener filter for DS-CDMA systems which depends upon noise power at receivers. show that converges to matched and zero-forcing low high signal-to-noise-ratio, respectively. Simulation results superiority of compared other two filters. Moreover, we observe application three filters respective receive lead similar results.

We investigate the effects of fading correlations on wireless communication systems employing multiple antennas at both receiver and transmitter side link, so called multiple-input multiple-output (MIMO) systems. It turns out that amount sided channel knowledge plays an important part when dealing with correlations. Furthermore, possible availability time diversity in a time-selective can have essential influence performance. To study time-selectivity, concept sample-mean outage is...

Electromagnetic field theory provides the <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">physics</i> of radio communications, while information approaches problem from a purely xmlns:xlink="http://www.w3.org/1999/xlink">mathematical</i> point view. While there is law conservation energy in physics, no such theory. Consequently, when, theory, reference made (as it frequently is) to terms like energy, power, noise, or antennas, by means guaranteed...

We study the transmitter optimization for flat multi-input multi-output (MIMO) channel under nonlinear distortion from digital-to-analog converters (DACs). Our design is based on a minimum mean square error (MMSE) approach, taking into account effects of nonlinearities. derivation does not make use assumption uncorrelated white (quantization) errors and considers correlations quantization with other signals system. Through simulation, we compare new optimized linear to previously proposed...

This paper investigates the distribution of condition number complex Wishart matrices. Two closely related measures are considered: standard (SCN) and Demmel (DCN), both which have important applications in context multiple-input multiple-output (MIMO) communication systems, as well various branches mathematics. We first present a novel generic framework for SCN accounts central non-central matrices arbitrary dimension. result is simple unified expression involves only single scalar...

For 5G, it will be important to leverage the available millimeter wave spectrum. To achieve an approximately omnidirectional coverage with a similar effective antenna aperture compared state-of-the-art cellular systems, array is required at both mobile and base station. Due large bandwidth inefficient amplifiers in CMOS for mmWave, analog front end of receiver number antennas becomes especially power hungry. Two main solutions exist reduce consumption: hybrid beam forming digital low...

Coarsely quantized massive multiple-input multiple-output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique mitigate the multi-user interference and quantization distortions in downlink MIMO system with coarsely constant envelope (QCE) signals at transmitter. The transmit signal vector is optimized for every desired received taking into account relaxed version of QCE constraint. optimization based on maximizing safety margin decision...

We propose a novel linear minimum-mean-squared-error (MMSE) precoder design for downlink (DL) massive multiple-input-multiple-output (MIMO) scenario. For economical and computational efficiency reasons low resolution 1-bit digital-to-analog (DAC) analog-to-digital (ADC) converters are used. This comes at the cost of performance gain that can be recovered by large number antennas deployed base station (BS) an appropiate to mitigate distortions due coarse quantization. The proposed takes...

On the downlink of an SDMA mobile radio system, different users who share same frequency band and time slot have to be spatially separated by beamforming. In this paper we analyze approach jointly calculate weights in such a way that all receive their signal with given signal-to-noise-and-interference ratio. The computations are based on spatial covariance matrices which describe user-specific channels averaged over fast fading. presented algorithm succeeds minimizing array transmit power...

An analog circuit structure for the realization of discrete-time cellular neural networks (DTCNNs) is introduced. The computation done by a balanced clocked based on idea conductance multipliers and operational transconductance amplifiers. proposed one-neighborhood hexagonal grid, but can also be modified to larger neighborhoods and/or other grid topologies. A layout was designed standard CMOS process, corresponding HSPICE simulation results are given. test chip containing 16 cells...

We present a general problem formulation for optimal parameter estimation based on quantized observations, with application to antenna array communication and processing (channel estimation, time-of-arrival (TOA) direction-of-arrival (DOA) estimation). The work is of interest in the case when low resolution A/D-converters (ADCs) have be used enable higher sampling rate simplify hardware. An Expectation-Maximization (EM) algorithm proposed solving this setting. Besides, we derive Crame¿r-Rao...

We consider multi-input multi-output (MIMO) Rayleigh-fading channels with coarsely quantized outputs, where the channel is unknown to transmitter and receiver. This analysis of interest in context sensor network communication low cost devices. The key point that analog-to-digital converters (ADCs) for such applications should be low-resolution, order reduce their power consumption. In this paper, we extreme case only 1-bit ADC each receive signal component. elaborate on some properties...

Abstract In a digital communication system, the analog signal that receiver receives with its radio frequency front end is converted into format by using analog‐to‐digital converter (A/D converter, ADC). Quantisation takes place during conversion from continuous amplitude to discrete signal, leading inevitably losses in information which are dependent on number of bits used represent each sample. Although employing higher bit resolution reduces quantisation error, power dissipation ADC...

For 5G, it will be important to leverage the available millimeter wave spectrum. To achieve an approximately omnidirectional coverage with a similar effective antenna aperture compared state-of-the-art cellular systems, array is required at both mobile and base stations. Due large bandwidth, analog front-end of receiver number antennas becomes especially power hungry. Two main solutions exist reduce consumption: Hybrid BeamForming (HBF) Digital (DBF) low resolution Analog Converters (ADCs)....

1-bit digital-to-analog (DACs) and analog-to-digital converters (ADCs) are gaining more interest in massive MIMO systems for economical computational efficiency. We present a new precoding technique to mitigate the inter-user-interference (IUI) channel distortions downlink MU-MISO system with QPSK symbols. The transmit signal vector is optimized taking into account quantization. develop sort of mapping based on look-up table (LUT) between input signal. LUT updated each realization....

In this work, the problem of signal parameter estimation from measurements acquired by a low-complexity analog-to-digital converter (ADC) with $1$-bit output resolution and an unknown quantization threshold is considered. Single-comparator ADCs are energy-efficient can be operated at ultra-high sampling rates. For analysis such systems, fixed known usually assumed. symmetric case, i.e., zero hard-limiting offset, it that in low signal-to-noise ratio (SNR) regime processing performance...

Considers multiple narrowband signals that are incident upon a planar sensor array. 2D unitary ESPRIT is new closed-form high resolution algorithm to provide automatically paired source azimuth and elevation angle estimates along with an efficient way reconstruct the impinging signals. In final stage of algorithm, real imaginary parts ith eigenvalue matrix one-to-one related respective direction cosines relative two array axes. offers several advantages over other based estimation...

A chaotic attractor has been observed with a nonautonomous cellular neural network (CNN) using an opposite-sign template. The consists of only two cells and is driven by sinusoidal input. It possesses the horseshoe structure. map shows multiple strongly stretching folding processes volume flow. interesting fractal structures.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Abstract Cellular neural networks or CNNs are a novel network architecture introduced by Chua and Yang which is very general flexible, has some important properties desirable for design applications can be efficiently implemented on custom hardware based analogue VLSI technology. In this paper an abstract normalized definition of cellular with arbitrary interconnection topology given. Instead stability, the property convergence found to central importance: large classes convergent in...