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Showing 1 to 20 of 21 for “"Cramer Rao bound"”.
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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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About the quality of parametric power spectral estimates
… 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 …
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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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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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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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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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A comparison of digital beacon receiver frequency estimators
… at 7 dB/Hz SNR. Both algorithms attain the Cramer-Rao bound for estimation of constant frequency sinusoids. For a simulated satellite signal with maximum frequency drift of 5 Hertz per second the Kalman frequency predictor is able to reduce the problem to nearly that of the constant …
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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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Combining Computational Techniques with Physics for Applications in Accelerated MRI
… of freedom than linear models. Third, we explore cramer-rao-bound optimization of sequences for quantitative MR parameter mapping. Auto-differentiation through simulations computes necessary gradients for optimization. Finally, we propose an optimization scheme that designs radio-frequency pulse …
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Through-the-Wall Imaging and Multipath Exploitation
… signal processing framework, and compute the Cramer-Rao bound to obtain the system resolution. We conduct experiments on a simple array platform to support our theoretical approach.
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Parametric estimation of superimposed signals
… was studied. New closed-form expressions of the Cramer-Rao bound (CRB) for parametric estimation of superimposed signals in white Gaussian noise were derived. The effect of the amplitude correlation structure of superimposed signals on the CRB of parametric estimation of superimposed signals in …
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Accuracy bounds for normal-incidence acoustic structure estimation
… is studied by computing a statistical lower bound on estimator performance, the Cramer-Rao bound, for three cases of interest. (1) The bound is computed for the estimation of unknown, nonrandom reflection coefficients in a medium containing only discrete reflectors; special attention is given …
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Target localization in passive and active systems : performance bonds
… and of system parameters. To this end, lower bounds on the maximum likelihood 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 …
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Interference Mitigation by Reconfigurable Adaptive Antenna Array
… for enhanced DOA estimation. We formulate the Cramer-Rao Bound in terms of selected element positions and present a Dinklebach type algorithm to select an optimum isotropic or directional subarray. Finally, we explore the concept of coarray to arrange the antennas with the metric of high …
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Spectrum Sharing between Radar and Communication Systems
… metrics such as probability of target detection, Cramer Rao bound and maximum likelihood estimate of target's angle of arrival, and beampattern of radar are studied for performance degradation. The results show minimal degradation in radar performance and reduction in exclusion zones, thus, …
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Design and Implementation of Position-Encoded Microfluidic Microsphere-Trap Arrays
… ratio (SNR) levels. We compute the Ziv-Zakai bound (ZZB) on the errors in estimating the unknown parameters, including the target concentrations. Through numerical examples, we find the SNR level below which the ZZB provides a more accurate prediction of the error than the posterior Cramer-Rao …
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Transceiver design and system optimization for ultra-wideband communications
… and path amplitudes are jointly estimated. Cramer-Rao bound (CRB) expressions for the variance of path delay and amplitude estimates are formulated using maximum likelihood estimation. Using the errors obtained from the CRB, the effective signal-to-noise ratio for UWB Rake receivers …
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Statistical modeling of radiation detection and imaging system
… we have developed a vector modified uniform Cramer-Rao bound (MUCRB) to replace the time-consuming brute-force MC simulation. This approach allows one to analytically derive the fundamental tradeoffs between resolution and minimum achievable total (or average) variance over arbitrarily chosen …
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Modeling And Detection Of Uterine Contractions Using Magnetomyography
… fundamental mathematical results for minimal bounds on mean-square error estimation. Indeed, if an estimator is available, the evaluation of its performance depends on knowing whether it is optimal or if further improvement is still possible. In our segmentation problem the parameters are …
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