Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 33 for “"Cramer-Rao lower bound"”.
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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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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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Lower bounds for the variance of uniformly minimum variance unbiased estimators
The object of this paper was to study lower bounds ·for the variance of uniformly minimum variance 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 …
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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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The effect of segment averaging on the quality of the Burg spectral estimator
… modified Burg spectral estimators are derived. Lower bounds for the mean and variance of reflection coefficients are also deduced. Finally, the variance of the estimation errors associated with the modified power spectral density estimators is compared against the theoretical Cramer-Rao lower …
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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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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
… is derived. Theoretical 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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An efficient and computationally attractive localization algorithm under large equal radius scenario
… position covariance matrices can approach the Cramer-Rao Lower Bound (CRLB) when the LER conditions are sufficiently satisfied. Simulation results are included and assessed by comparing with the CRLB. We also analyze the performance degradation due to the presence of sensor position error, and …
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Weak interference direction of arrival estimation in the GPS frequency band
… the INR of the weak GPS interference is close or lower than this range, GPS signals need to be mitigated as they act like strong interferences. A Multiple Subspace Projection (MSP) algorithm is proposed to cancel GPS signals. This algorithm projects the received signal onto the orthogonal subspace …
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Accurate range free localization in multi-hop wireless sensor networks
… totally best solution. Moreover, the resultant Cramer–Rao lower bound is originated for occurrence comparison. Simulation and experimental results show a substantial performance gain achieved by our proposed localization algorithm in wireless sensor networks. The performance is evaluated in …
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Essays on contract theory and organizational economics
… contract) for given effort level has a unique lower bound. The second property is an equivalence between the first order condition (Mirrlees-Holmstrom Condition) and the Cramer-Rao Lower Bound (CRLB). These two properties provide the foundations for (1) identifying optimality, and (2) …
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Inversion for subbottom sound velocity profiles in the deep and shallow ocean
… inverse problem are analyzed in terms of the Cramer-Rao lower bound and the Backus-Gilbert (BG) resolution theory. BG theory is applied to the design of shallow-water experiments. A method is developed to compensate for the Doppler deviation observed in experiments with moving sources.
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A Model-Based Approach to Demodulation of Co-Channel MSK Signals
… (MVU) estimator exists that satisfies the Cramer-Rao lower bound (CRLB) with equality. This framework allows us to derive the best estimators for a single-user and a two-user case. These concepts can also be extended to wideband signals and it is shown that the MVU estimator for Direct …
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High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
… minimum mean-square error possible, the Cramer-Rao lower bound, in resolving the intensity of naturally scintillating light. We first obtain the statistics of environmental light signals which we find naturally scintillate with a standard deviation proportional to mean intensity. Given …
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Target localization in MIMO radar systems
… distributed over an area, are studied. The Cramer-Rao lower bound (CRLB) for target localization accuracy is developed for both coherent and noncoherent processing. The CRLB is shown to be inversely proportional to the signal effective bandwidth in the noncoherent case, but is approximately …
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Target localization in passive and active systems : performance bonds
… (SNR) 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 …
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Chemical identification under a poisson model for Raman spectroscopy
… thesis is to develop algorithms and performance bounds for the identification of chemicals from their Raman spectra. First, a Poisson measurement model based on the physics of a dispersive Raman device is presented. The problem is then expressed as one of deterministic parameter estimation, and …
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