Microphone arrays can be used for acoustic source localization and characterization in wind tunnel testing. In this paper, we present the wideband RELAX (WB-RELAX) and the wideband CLEAN (WB-CLEAN) algorithms for aero...
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Linear space-time block coding (STBC) is a conceptually simple transmission technique for channels with multiple transmit and receive antennas. In this paper, we study a subclass of linear STBC, namely orthogonal STBC...
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Linear space-time block coding (STBC) is a conceptually simple transmission technique for channels with multiple transmit and receive antennas. In this paper, we study a subclass of linear STBC, namely orthogonal STBC (OSTBC), with the primary goal of contributing towards a complete understanding of OSTBC. In particular, we prove that OSTBC is optimal in an important minimum mean-square error (MSE) sense. As a by-product, we also obtain a concise characterization of linear and orthogonal STBC's as well as the relationship between them. The MSE optimality of OSTBC shown herein can be used as a way of introducing this coding scheme in a formal manner.
This paper proposes a new algorithm in the fuzzy-c-means family, which is designed to cluster time-series and is particularly suited for short time-series and those with unevenly spaced sampling points. Short time-ser...
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The standard Capon beamformer (SCB) is known to have better resolution and much better interference rejection capability than the standard data-independent beamformer when the array steering vector is accurately known...
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The standard Capon beamformer (SCB) is known to have better resolution and much better interference rejection capability than the standard data-independent beamformer when the array steering vector is accurately known. However, the major problem of SCB is that it lacks robustness in the presence of array steering vector errors. In this paper, we will first provide a complete analysis of a norm constrained Capon beamformer (NCCB), which uses a norm constraint on the weight vector to improve the robustness against array steering vector errors and noise. Our analysis is thorough and sheds more light on the choice of the norm constraint than what was commonly known. We also briefly discuss our recently proposed robust Capon beamformer (RCB), which is obtained via extending the covariance matrix fitting approach to the case of uncertain steering vectors. Our RCB is based on a clear theoretical background and explicitly addresses the steering vector uncertainty problems. Both NCCB and RCB can be efficiently computed at a comparable cost with that of SCB. Performance comparisons of NCCB and RCB via a number of numerical examples are also presented.
The standard Capon beamformer (SCB) is known to have better resolution and much better interference rejection capability than the standard data-independent beamformer when the array steering vector is accurately known...
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The standard Capon beamformer (SCB) is known to have better resolution and much better interference rejection capability than the standard data-independent beamformer when the array steering vector is accurately known. However, the major problem of SCB is that it lacks robustness in the presence of array steering vector errors. In this paper, we provide a natural extension of SCB, obtained via covariance matrix fitting, to the case of uncertain steering vectors by enforcing a double constraint on the array steering vector, viz. a constant norm constraint and a spherical uncertainty set constraint, which we refer to as the doubly constrained robust Capon beamformer (DCRCB). DCRCB can be efficiently computed at a comparable cost with that of SCB. Performance comparisons of DCRCB and our previously proposed robust Capon beamformer (RCB) are also presented via a number of numerical examples.
Whenever the knowledge of the array steering vector is imprecise (as is often the case in practice), the performance of the Capon beamformer may become worse than that of the standard beamformer. Diagonal loading (inc...
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Whenever the knowledge of the array steering vector is imprecise (as is often the case in practice), the performance of the Capon beamformer may become worse than that of the standard beamformer. Diagonal loading (including its extended versions) has been a popular approach to improve the robustness of the Capon beamformer. In this paper we show that a natural extension of the Capon beamformer to the case of uncertain steering vectors also belongs to the class of diagonal loading approaches but the amount of diagonal loading can be precisely calculated based on the uncertainty set of the steering vector. The proposed robust Capon beamformer can be efficiently computed at a comparable cost with that of the standard Capon beamformer. Its excellent performance is demonstrated via a number of numerical examples.
Shortened product life-cycles decreases the output rate of manufacturing systems as the introduction of new products into the manufacturing system becomes more frequent. Improvements of the development process of manu...
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Shortened product life-cycles decreases the output rate of manufacturing systems as the introduction of new products into the manufacturing system becomes more frequent. Improvements of the development process of manufacturing systems are needed to increase the output. Information handling and development of control programs based on information reuse are two of the most important improvement areas. These areas, among other things, can be a support for offline verification, which promises to directly increase the output rate due to shortening product introduction times. This paper deals with two problems of the many connected to enabling offline verification. First, a general control program structure, adapted to information reuse, is needed and secondly, the information necessary to generate the control programs needs to be defined. A method is proposed where information from the mechanical design of a cell, from the product, and from manual simulation are reused and automatically converted into control programs that schedule the work in a collision-free, deadlock-free and time-optimized way. The correctness of the generated programs is guaranteed by use of formal methods, simulation and an uncorrupted conversion of specifications into control programs.
The maximum likelihood detector (MLD) for single differential modulation is easy to derive. On the other hand, the MLD problem associated with double differential modulation is much more complicated and solving it was...
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The maximum likelihood detector (MLD) for single differential modulation is easy to derive. On the other hand, the MLD problem associated with double differential modulation is much more complicated and solving it was deemed to require a computationally unattractive nonlinear search. Consequently a simple heuristical detector was usually preferred to the MLD, on computational grounds. In this paper we prove the somewhat unexpected result that the aforementioned heuristical detector coincides with the exact MLD.
Using dimensional analysis and numerical optimisation techniques, an optimal method for tuning PID controllers for first order plus time delay systems is presented. Considering integral square error (ISE), integral ab...
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Using dimensional analysis and numerical optimisation techniques, an optimal method for tuning PID controllers for first order plus time delay systems is presented. Considering integral square error (ISE), integral absolute error (IAE) and integral time absolute error (ITAE) performance criteria, optimal equations for obtaining PID parameters are proposed. Simulation results show that the proposed method has a considerable superiority over conventional techniques. In addition, the closed loop system shows a robust performance in the face of model parameters uncertainty.
Forcefree control can realize the flexible motion of industrial articulated robot arms without any change of the built-in controller. In this paper, the forcefree control was extended to realize flexible motion emulat...
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Forcefree control can realize the flexible motion of industrial articulated robot arms without any change of the built-in controller. In this paper, the forcefree control was extended to realize flexible motion emulating operational circumstance free of inertia, friction and gravity through the independent compensation of inertia, friction and gravity. The property of the forcefree control with independent compensation was also investigated by experimental study of an actual industrial articulated robot arm, where the external force was measured with a force sensor which was attached to the tip of the robot arm.
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