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Showing 1 to 8 of 8 for “"Cramer-Rao bounds"”.

  1. Some contributions on MIMO radar

    … fluctuations, the notion of ergodic and outage Cramer Rao bounds is introduced. Both bounds are compared with simulation results revealing the diversity potentials of MIMO radar. Afterwards, the detection of targets in white Gaussian noise is discussed including geometric considerations due to …

    njit Repository record for Some contributions on MIMO radar (opens in a new tab)

  2. 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>

    byu Repository record for An Implementation of Field-Wise Wind Retrieval for Seawinds on QuikSCAT (opens in a new tab)

  3. Radar detection and identification of human signatures using moving platforms

    … the presence of multiple human targets. Cramer-Rao bounds (CRB) on parameter estimates and receiver operating characteristics (ROC) curves are used to validate analytically the performance of both proposed methods to that of conventional, fully adaptive STAP. Finally, application of …

    gatech Repository record for Radar detection and identification of human signatures using moving platforms (opens in a new tab)

  4. Computational imaging and inverse techniques for high-resolution and instantaneous spectral imaging

    … to the development of each technique, Bayesian Cramer-Rao bounds are also obtained to characterize the estimation uncertainties and performance limits, as well as to explore the optimized system design. The effectiveness of the spectral imaging techniques are illustrated for an application in …

    uiuc Repository record for Computational imaging and inverse techniques for high-resolution and instantaneous spectral imaging (opens in a new tab)

  5. 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 …

    vt Repository record for Quantitative Anisotropy Imaging based on Spectral Interferometry (opens in a new tab)

  6. Collaborative Estimation in Distributed Sensor Networks

    … approximate measures of estimation accuracy (Cramer-Rao bounds) are derived as a function of physical properties of sensors -- namely the drift strength, correlation (Markov) factor and the time-elapsed since last calibration. For stationary drift (Markov factor less than one), it is …

    syracuse-diss Repository record for Collaborative Estimation in Distributed Sensor Networks (opens in a new tab)

  7. Constrained Matrix and Tensor Factorization: Theory, Algorithms, and Applications

    … factors in noise. Towards this end, pertinent Cramer-Rao bounds (CRB) for constrained matrix and tensor factorization are derived. This turns out being a nontrivial task, mainly due to the presence of constraints, trivial ambiguities, and computational challenges as well. In particular, the …

    umn Repository record for Constrained Matrix and Tensor Factorization: Theory, Algorithms, and Applications (opens in a new tab)

  8. Sensor Networks: Studies on the Variance of Estimation, Improving Event/Anomaly Detection, and Sensor Reduction Techniques Using Probabilistic Models

    Sensor network performance is governed by the physical placement of sensors and their geometric relationship to the events they measure. To illustrate this, the entirety of this thesis covers the following interconnected subjects: 1) graphical analysis of the variance of the estimation error caused …

    vt Repository record for Sensor Networks: Studies on the Variance of Estimation, Improving Event/Anomaly Detection, and Sensor Reduction Techniques Using Probabilistic Models (opens in a new tab)