In this paper, the performance of wireless communication systems with antenna arrays and multiple interferers in correlated Nakagami fading channels is investigated. Closed-form expressions of the probability density ...
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ISBN:
(纸本)0780389387
In this paper, the performance of wireless communication systems with antenna arrays and multiple interferers in correlated Nakagami fading channels is investigated. Closed-form expressions of the probability density function (PDF) of signal-to-noise-plus-interference ratio (SNIR), taking account of fading correlations and mutual coupling, are derived and both maximal ratio combining (MRC) and optimal combining (OC) are considered in the derivation. The expressions for the outage probabilities are then derived. Since fading correlations and mutual coupling are closely related to array geometry, performance for both linear and circular arrays are analyzed and numerical results are shown to illustrate the effects of array geometry, angular spread, fading, and so on.
The reverse link capacity of a direct-sequence code-division multiple-access (DS-CDMA) system in a multicell environment with both perfect and imperfect beamforming has been studied recently. In a practical implementa...
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The reverse link capacity of a direct-sequence code-division multiple-access (DS-CDMA) system in a multicell environment with both perfect and imperfect beamforming has been studied recently. In a practical implementation, the design of the antenna array may be constrained by the available space or the number of antennas. We investigate the maximum reverse link capacity of CDMA systems using different types of arrays, including linear, circular and rectangular arrays, with a fixed size. The CDMA capacity for different types of arrays with a fixed number of antennas is also examined. The capability of antenna arrays to combat the impairments of beamforming, such as arrival angle estimation errors and angular spreads, is closely related to their geometries. The impact of array geometry on system performance considering beamforming impairments is also examined and illustrated through numerical results.
Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynam...
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Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynamics in a relatively small system, their performance degrades as the dimensions of the plant to be identified are increased, for example in supervisory level identification of a multimachine power system for wide area control purposes. Recurrent neural networks can deal with such a problem by modeling the system as a set of differential equations and with less order of complexity. Such a recurrent neural network identifier is designed and implemented for supervisory level identification of a multimachine power system with a FACTS device. Simulation results are provided to show that the neuroidentifier can track the system dynamics with sufficient accuracy
The recent advances in learning control theory are reviewed. First insight is provided into the concept and principle associated with learning control under a repeatable control environment. Then a briefing is given t...
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The recent advances in learning control theory are reviewed. First insight is provided into the concept and principle associated with learning control under a repeatable control environment. Then a briefing is given to the two main streams of learning control-iterative learning control and repetitive control. Subsequently we survey several hot topics in the field of learning control. New trends in learning control using Lyapunov methods are also sketched, followed by remarks on future directions.
A band-pass filter operating in 2.40 GHz to 2.48 GHz range is designed in 0.18 /spl mu/m CMOS technology. It has tunable center frequency, Q-factor and gain. The fully integrated system-on-chip (SOC) 10th order band-p...
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A band-pass filter operating in 2.40 GHz to 2.48 GHz range is designed in 0.18 /spl mu/m CMOS technology. It has tunable center frequency, Q-factor and gain. The fully integrated system-on-chip (SOC) 10th order band-pass filter is built by cascading five stages of 2nd order. The simulation of the filter on ADS software provides an insertion gain of 8 dB in the pass-band frequency from 2.40 GHz to 2.48 GHz. The attenuation in the stop-band is observed to be higher than 50 dB at 400 MHz away from pass-band edge with 15 mA current sinking from a 1.8 V supply. We present several simulation results to highlight these characteristics.
Quantization is a crucial link in the process of digital speech communication. Non-uniform quantizer such as the logarithm quantizers are commonly used in practice. In this paper, a companding non-uniform quantizer is...
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Quantization is a crucial link in the process of digital speech communication. Non-uniform quantizer such as the logarithm quantizers are commonly used in practice. In this paper, a companding non-uniform quantizer is designed using two neural networks to perform the nonlinear transformation. Particle swarm optimization is applied to find the weights of neural networks such that the signal to noise ratio (SNR) is maximized. Simulation results on different speech samples are presented and the proposed quantizer design is compared with the logarithm quantizer for bit rates ranging from 3 to 8.
A semiconductor laser and fiber with three separated Bragg gratings will automatically tune through three wavelengths. We investigate this device using numerical simulations to illustrate the evolution of the spectrum...
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A semiconductor laser and fiber with three separated Bragg gratings will automatically tune through three wavelengths. We investigate this device using numerical simulations to illustrate the evolution of the spectrum. This device could be used generate optical signals for sensors.
Continuum electromechanics of ferrohydrodynamic interactions in magnetic liquids (ferrofluids) and dual electrohydrodynamic interactions with polarizable dielectric liquids are described and compared. Simple dual expe...
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Continuum electromechanics of ferrohydrodynamic interactions in magnetic liquids (ferrofluids) and dual electrohydrodynamic interactions with polarizable dielectric liquids are described and compared. Simple dual experiments presented include: the rise of ferrofluid around a current-carrying wire and the rise of dielectric liquid between diverging electrodes; ferrohydrodynamic and electrohydrodynamic peaking interfacial instability with a perpendicular magnetic or electric field; and electric and magnetic labyrinth instability when a thin layer of magnetic or dielectric fluid is stressed by a uniform magnetic or electric field parallel to the thin dimension of the interface. New spiral and droplet patterns that form in combined DC and rotating uniform magnetic fields are presented for magnetic liquids.
One of the problems with Java for real-time systems is the unpredictable behavior of garbage collection (GC). GC introduces unexpected load and causes undesirable delays for real-time applications. In this paper, we p...
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One of the problems with Java for real-time systems is the unpredictable behavior of garbage collection (GC). GC introduces unexpected load and causes undesirable delays for real-time applications. In this paper, we propose a technique that reduces and bounds the memory requirements for real-time Java programs. This technique can eliminate or reduce the need for GC and allows for a more predictable execution behavior and efficient utilization of the available memory. A theoretical model is presented and a number of benchmark tests are used to evaluate this technique in PERC, NewMonics' real-time JVM, and Sun's JVM. The results show that in some cases GC can be eliminated and an application's execution time decreases and becomes more predictable.
With deregulation of the power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area control systems (WACSs) using wid...
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With deregulation of the power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area control systems (WACSs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. This paper presents the design and the DSP implementation of a nonlinear optimal wide area controller based on adaptive critic designs and neural networks for a power system on the real-time digital simulator (RTDS/spl reg/). The performance of the WACS as a power system stability agent is studied using the Kundur's two area power system example. The WACS provides better damping of power system oscillations under small and large disturbances even with the inclusion of local power system stabilizers.
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