..........................................................................................................................xiv STATISTICAL ERROR ANALYSIS OF A DOA ESTIMATOR FOR A PCL SYSTEM USING THE CRAMER-RAO BOUND THEOREM.................................... 1 1 . INTRODUCTION........................................................................................................ 1 1.1 Backgrou...

INTRODUCTION Quantitative water/fat separation in MRI requires careful modeling of the acquired signal. Multiple signal models have been proposed in recent years, but their relative performance has not yet been established. This abstract presents a comparative study of 12 signal models for water/fat separation. The models were selected according to three criteria: magnitude or complex fitting [...

In this paper we exploit receiver diversity for blind channel estimation for OFDM systems with cyclic prefix. The developed channel estimation algorithm has the following advantages compared with existing blind methods: a) It is data efficient — the proposed algorithm can be implemented using a single OFDM block; b) It is computationally efficient — only a single singular value decomposition is...

This work further develops tools and methodologies for systematic GNSS signal design. Inter and intra system multiple access interference (MAI), synchronization accuracy, time-delay estimation robustness, and backward compatibility with respect to already existing signals are considered by solving a nonlinear multi-objective optimization problem. Final solutions are selected out of the derived ...

Error bounds for nonlinear filtering are very important for performance evaluation and sensor management. This paper presents a comparative study of three error bounds for tracking filtering, when the detection probability is less than unity. One of these bounds is the random finite set (RFS) bound, which is deduced within the framework of finite set statistics. The others, which are the inform...

Optimal power allocation for secure estimation of multiple deterministic parameters is investigated under a total constraint. The goal to minimize the Cramer-Rao lower bound (CRLB) at an intended receiver while keeping errors eavesdropper above specified target levels. To that end, optimization problem formulated by considering measurement models involving linear transformation parameter vector...

Received signal strength based device-free localization applications utilize a model that relates the measurements to position of wireless sensors and person, underlying inverse problem is solved either using an imaging method or nonlinear Bayesian filter. In this paper, it shown filters nearly reach posterior Cramer-Rao bound they are superior with respect approaches in terms accuracy because ...

An array of sensors is receiving radiation from a source of interest. The source and the array are in a oneor two-dimensional waveguide. The maximum-likelihood estimators of the coordinates of the source are analysed under the assumptions thatthe noise field is Gaussian. The Cramer-Rao lower bound is of the order of the number of modes which define the source excitation function. The results sh...

In this paper, we aim to determine the location information of a node deployed in Wireless Sensor Networks (WSN). We estimate the position of an unknown source node using localization based on linear approach on a single simulation platform. The Cramer Rao Lower Bound (CRLB) for position estimate is derived first and the four linear approaches namely Linear Least Squares (LLS), Subspace Approac...

Dual-mode surface-plasmon resonance (SPR) sensors use both long- and short- range surface plasmon waves to differentiate surface binding interactions from interfering bulk effects. We have optimized the design of these sensors for minimum surface limit of detection (LOD) using a Cramer-Rao lower bound for spectral shift estimation. Despite trade-offs between resonance width, minimum reflectivit...