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Showing 1 to 20 of 64 for “"Cramer-Rao"”.
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Cramer-Rao bound analysis of multi-frame blind deconvolution
… multiple blurred and noisy images is considered. Cramer-Rao Bound theory is employed to provide an algorithm-independent metric to analyze the effects from these parameters. The Cramer-Rao bound is a lower limit to the variance of any estimate of an unknown parameter. In this research, the unknown …
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Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks
… observed in the presence of noise. Posterior Cramer-Rao lower bound (PCRLB) sets a performance limit onany Bayesian estimator for the given dynamical system. The PCRLBdoes not fully utilize the existing measurement information to give anindication of the mean squared error (MSE) of the …
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Cramer-Rao Lower Bound Derivation and Performance Analysis for Space-Based SAR SMTI
This thesis develops the Cram ́er-Rao Lower Bound (CRLB) for multi-channel space- borne synthetic aperture radar (SAR) system and provides surface moving target in- dication (SMTI) performance analysis. A multi-channel moving target signal model is derived in satellite earth-fixed earth-centered …
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Inferences on the shape parameter of the gamma distribution and Cramer-Rao lower bounds from censored data
… The second article concerns the Cramér-Rao lower bounds for the variances of estimators, where the estimators are based on censored data. Convenient techniques are derived to evaluate the lower bounds in the presence or absence of nuisance parameters"--Abstract, page iii.</p>
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Necessary conditions for geo-acoustic parameter inversions to become asymptotically unbiased and attain the Cramer-Rao Lower Bound
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 2002.
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About the quality of parametric power spectral estimates
… is analyzed and a lower bound based on the Cramer-Rao inequality for unbiased estimators has been computed. The quality of a least squares autoregressive (AR) ladder estimator is evaluated by simulation, in terms of bias and variance of the corresponding spectral density estimates. The AR …
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Lower bounds for the variance of uniformly minimum variance unbiased estimators
… unbiased estimators. The lower bounds of Cramer and Rao, Bhattacharyya, Hammersley, Chapman and Robbins, and Kiefer were derived and discussed. Each was compared with the other, showing their relative merits and shortcomings. Of the lower bounds considered all are greater than or equal to …
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Parameter estimation for exponential signals in colored noise using the pseudo-autoregressive (PAR) model
… (AR) noise environment. We derive the Cramer-Rao Lower Bound (CRLB) for the parameters of damped exponential signals in the colored noise case. A closed-form expression for the Cramer-Rao Lower Bound for the Pseudo-Autoregressive (PAR(<i>M,p</i>) model is obtained. Some special cases …
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An Implementation of Field-Wise Wind Retrieval for Seawinds on QuikSCAT
… measurement model is used to generate Cramer-Rao bounds on estimator performance. Using the Cramer-Rao bound, field-wise and point-wise performances are compared.</p>
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Acoustic vector-sensor array performance
… or "mism;atch." It also develops a hybrid Cramer-Rao bound for direction-of-arrival estimation under mismatch. The results are analyzed, compared to Monte-Carlo simulations, and explored for insight.
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Quantitative Anisotropy Imaging based on Spectral Interferometry
… following different statistical behaviors, Cramer-Rao Bounds is derived for multiple unknown parameters, including optical pathlength, system-specific initial phase, spectrum intensity as well as fringe visibility. The significance of the work is to establish criteria to evaluate whether an …
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The effect of segment averaging on the quality of the Burg spectral estimator
… estimators is compared against the theoretical Cramer-Rao lower bound.
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Target localization in passive and active systems : performance bonds
… estimator (MLE) performance are studied. The Cramer-Rao lower bound (CRLB) for coherent passive localization of a near-field source is derived. It is shown through the Cramer-Rao bound that, the coherent localization systems can provide high accuracies in localization, to the order of carrier …
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Architectures for Symbol Timing Synchronization in MIMO Communications
… on the MIMO channel and is able to reach the Cramer Rao bound when sufficient complexity is applied.
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Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging
… data. A theoretical analysis based on Cramer-Rao Bound is proposed to further assess the performance improvement of the proposed method over state-of-the-art methods. The proposed spectral estimation method should prove useful in various MRSI studies.
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Optimization methods for active and passive localization
… previous studies based on the well known Cramer-Rao lower bound have shown that the localization accuracy depends on the locations of the transmitters as well as the individual channel gains between different transmitters, targets and receivers. Thus, it is natural to ask whether …
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Parameter Identification And Fault Detection For Reliable Control Of Permanent Magnet Motors
… will validated through analytical study (Cramer-Rao bound) and simulation. Simulation will be performed for three most applied control schemes: Proportional-Integral-Derivative (PID), Direct Torque Control (DTC) and Field Oriented Control (FOC) for Permanent Magnet Machines. New detection …
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Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation
… and samples approach infinity, and derive the Cramer-Rao lower bound (CRLB) on its performance. In case of a moving diffusive source, we propose a particle filter (PF) based target tracking scheme for moving diffusive source, and analytically derive the posterior Cramer-Rao lower bound (PCRLB) …
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Uncertainties in Oceanic Microwave Remote Sensing: The Radar Footprint, the Wind-Backscatter Relationship, and the Measurement Probability Density Function
… retrieval is described in terms of bias and the Cramer-Rao lower bound. The probability density function of modified periodogram averages (a spectral estimation technique) is derived in generality and for the specific case of power estimates made by the NASA scatterometer. The impact on wind …
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Acoustic Coherence Imaging Through the Atmosphere
… performance bounds in the form of the Cramer-Rao lower bound are derived, and the method is applied to both synthetic and field data. The performance of this method is encouraging."
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