Estimation

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Estimation is the calculated approximation of a result which is usable even if input data may be incomplete or uncertain. (Wikipedia.org)






Conferences related to Estimation

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


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Periodicals related to Estimation

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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Most published Xplore authors for Estimation

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Xplore Articles related to Estimation

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IEE Colloquium on 'State Estimation in Aerospace and Tracking Applications' (Digest No.152)

IEE Colloquium on State Estimation in Aerospace and Tracking Applications, 1989

None


DOA estimation under sensor gain and phase uncertainties

2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF), 2015

This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of sensor's gain and phase uncertainties. The main motivation in our work is to explore the signal sparse property. The DOA sparsity is relatively easy to be discovered since the spectrum of signal is sparse in spatial domain. One existing finding on uncertainty matrix is it is a ...


An order selection criterion via simultaneous estimation/detection theory

Fifth ASSP Workshop on Spectrum Estimation and Modeling, 1990

Shows that optimal joint estimation and detection theory developed by Hero and Kim (see Proc. IEEE Int. Conf. Acoust., Speech, and Sig. Proc. P.2759, 1990) can be used to obtain an order selection criterion which optimizes parameter estimation performance under a constraint on false alarms P/sub FA/<or= alpha . Unlike other selection criteria, this order selection criterion is finite sample ...


Frequency estimation with missing measurements

2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF), 2015

The frequency estimation problem is studied in this work in the presence of missing measurements. The approach developed in this work is mainly inspired by sparse signal theory. To find a sparse representation of frequency estimation problem, a DFT-like matrix is created in which the frequency sparsity is discovered. The missing measurements are modeled by a sparse representation as well ...


A Comparative Study of JADE and SAGE Algorithms for Joint Multipath Parameter Estimation

2007 15th International Conference on Digital Signal Processing, 2007

In this paper, we investigate the performance of two popular multi-path parameter estimation schemes, eigen-decomposition based SI-JADE and maximum- likelihood based SAGE. An investigation of errors in the estimation of directions (DOA) and times (TOA) of arrival is presented using Monte Carlo simulations. We demonstrate that a significant improvement in DOA estimation is obtained as expected using both methods when ...


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Educational Resources on Estimation

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IEEE-USA E-Books

  • IEE Colloquium on 'State Estimation in Aerospace and Tracking Applications' (Digest No.152)

    None

  • DOA estimation under sensor gain and phase uncertainties

    This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of sensor's gain and phase uncertainties. The main motivation in our work is to explore the signal sparse property. The DOA sparsity is relatively easy to be discovered since the spectrum of signal is sparse in spatial domain. One existing finding on uncertainty matrix is it is a sparse matrix since it only is diagonal. To combat the gain and phase uncertainties, a direct estimate of uncertainty matrix is developed by utilizing its sparse property. By exploring the sparsity of both the DOAs and uncertainties of gain and phase, a two-step iterative process is proposed to achieve a joint estimation of DOAs and gain and phase uncertainties. Numerical studies are presented to demonstrate the effectiveness of the joint estimation.

  • An order selection criterion via simultaneous estimation/detection theory

    Shows that optimal joint estimation and detection theory developed by Hero and Kim (see Proc. IEEE Int. Conf. Acoust., Speech, and Sig. Proc. P.2759, 1990) can be used to obtain an order selection criterion which optimizes parameter estimation performance under a constraint on false alarms P/sub FA/<or= alpha . Unlike other selection criteria, this order selection criterion is finite sample optimal for signal parameter estimation. As an application the authors consider signal detection and frequency classification for a signal with an unknown number of equal power harmonic components in a white noise background of unknown power. On the basis of this simple example they conclude that significant gains in worst case classification performance can be achieved using the proposed order selection criterion.<<ETX>>

  • Frequency estimation with missing measurements

    The frequency estimation problem is studied in this work in the presence of missing measurements. The approach developed in this work is mainly inspired by sparse signal theory. To find a sparse representation of frequency estimation problem, a DFT-like matrix is created in which the frequency sparsity is discovered. The missing measurements are modeled by a sparse representation as well where missing samples are set to be zeros. Based on this model, the missing pattern represented by a vector in this work is indeed sparse since it only contains zeros and ones. Therefore, by exploring the sparsity of both frequency and missing petters, a joint estimation is devised under optimization framework. To solve that optimization problem, a two-step process is proposed as well. Numerical studies demonstrate that the joint estimation offers precise and consistent results.

  • A Comparative Study of JADE and SAGE Algorithms for Joint Multipath Parameter Estimation

    In this paper, we investigate the performance of two popular multi-path parameter estimation schemes, eigen-decomposition based SI-JADE and maximum- likelihood based SAGE. An investigation of errors in the estimation of directions (DOA) and times (TOA) of arrival is presented using Monte Carlo simulations. We demonstrate that a significant improvement in DOA estimation is obtained as expected using both methods when the antenna size is increased, but there is also a smaller improvement in TOA estimation. We also show that the SAGE algorithm is more robust against under-estimating the number of signal paths in a multi-path environment.

  • Worst-case Cramer-Rao bound for parametric estimation of superimposed signals

    The problem of parameter estimation of superimposed signals in white Gaussian noise is considered and the effect of the amplitude correlation structure on the Cramer-Rao bounds is studied. The best and worst conditions are found using various criteria, and closed form expressions for the bounds, which are free from the nuisance parameters of correlation structure, are derived. The results are applied to the example of parameter estimation of superimposed sinusoids, or plan-wave direction finding in white Gaussian noise, determining best and worst conditions on the signal cross-correlation and relative phases.<<ETX>>

  • State estimation with two-level fusion structure

    In order to obtain more accurate state estimation from multisensor system, the state estimation with two-level fusion structure is presented. By means of measurement fusion algorithm, the local first-level fusion centers can obtain the globally optimal fused measurement information, and then the local state estimation can be got by classical Kalman filtering. At the second-level fusion center, the fused estimation can be received by applying the covariance intersection fusion algorithm, which avoids the calculation of the correlation among local first-level fusion centers. The simulation example shows the effectiveness and higher accuracy of the presented fusion structure.

  • Combined Parameter and State Estimation in Particle Filtering

    In this paper, an adaptive estimation algorithm is proposed for non-linear dynamic systems with unknown static parameters based on combination of particle filtering. The estimates of static parameters are obtained by state samples and maximum-likelihood estimation in particle filtering, and the stochastic approximation is used to approximate the gradient of cost function. The proposed algorithm achieves combined state and parameters estimation. Simulation result demonstrates the efficiency of the algorithm.

  • Multi-dimensional harmonic estimation using K-D RARE in application to MIMO channel estimation

    In this paper, a new approach to the multi-dimensional harmonic retrieval problem is proposed. The novel method is based on a multi-dimensional extension of the Rank Reduction Estimator (RARE), originally developed for DOA estimation in partly calibrated arrays. In the K-D RARE algorithm the frequency parameters in the various dimensions are sequentially estimated. The dimensionality of the estimation problem and therefore the computational load of the optimization procedure is successively reduced exploiting the rich multidimensional structure of the estimation problem. This important property yields various benefits like high estimation performance, weak identifiability conditions and automatically associated parameter estimates. The performance of the algorithm is illustrated with the example of MIMO communication channel estimation based on the double-directional channel model. Numerical examples based on simulated and measured data recorded from the RUSK vector channel sounder at 2 GHz are presented.

  • Performance analysis of time delay estimation of a signal with arbitrary spectrum

    The fundamental limitations of passive time delay estimation (TDE) are well understood for the case of a Gaussian, stationary single source of known, flat spectrum. The authors present results concerning the sensitivity of the achievable estimation performance of the signal source spectra. By applying the Barankin bound to the multi-dimensional parameter estimation problem, they derive an expression for a lower bound on the time delay estimation error of a broadband source with unknown spectral levels. They show that, when large estimation errors are assumed (below the threshold), the estimation performance is no longer insensitive to prior knowledge of the source spectra. However, in most practical situations the degradation in the performance of the TDE due to the lack of prior knowledge of the source spectral parameters is small. Nevertheless, the achievable estimation performance at a given signal-to-noise ratio depends strongly on the shape of the source spectrum.<<ETX>>



Standards related to Estimation

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No standards are currently tagged "Estimation"