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.
Results
Showing 1 to 20 of 23 for “"adaptive processing"”.
-
Adaptive Processing of Laser Scanning Data and Texturing of the Segmentation Outcome
… of techniques have been developed for the processing of laser scanning data, but the majority of them do not consider the internal characteristics of the laser scanning data and their impact on the quality of the extracted information from these data. In order to resolve these limitations, …
-
Digital spectral analysis and adaptive processing techniques for phase modulated optical fiber sensors
… of this work is to investigate new signal processing techniques for optical fiber sensors that utilize the phase information of the electromagnetic field. Research concentrated on Fourier transform spectroscopy as a means for capturing wavelength encoded information from the fiber sensor. …
-
Waveform Diversity and Range-Coupled Adaptive Radar Signal Processing
… cost of reduced sensitivity. Multi-dimensional processing schemes are known to offer many degrees of freedom, which can be exploited to suppress the ambiguity inherent to pulse compression, array processing, and Doppler frequency estimation. Spatial waveform diversity can be achieved by …
-
Projection Methods for Improved Performance in Adaptive Systems
… greater flexibility in the implementation of the adaptive system. These methods may be further enhanced by the use of acceleration techniques originally developed in a row-projection framework. Use of all these techniques is explored in a number of applications including system identification, …
-
Robust Adaptive Signal Processors
Standard open loop linear adaptive signal processing algorithms derived from the least squares minimization criterion require estimates of the N-dimensional input interference and noise statistics. Often, estimated statistics are biased by contaminant data (such as outliers and non-stationary data) …
-
Robust Implementations of the Multistage Wiener Filter
… in this dissertation addresses reduced rank adaptive signal processing, with specific emphasis on the multistage Wiener filter (MWF). The MWF is a generalization of the classical Wiener filter that performs a stage-by-stage decomposition based on orthogonal projections. Truncation of this …
-
Cramer-Rao Lower Bound Derivation and Performance Analysis for Space-Based SAR SMTI
… system. This model is used in space-time adaptive processing (STAP) approaches for SMTI. A statistical model of the received signal is formed using the derived deterministic target signal, and gaus- sion distributions for noise and clutter. CRLBs for the statistical model and target …
-
Acoustic vector-sensor array processing
… theory yields useful performance criteria and processing techniques for acoustic pressure-sensor arrays. Acoustic vector-sensor arrays, which measure particle velocity and pressure, offer significant potential but require fundamental changes to algorithms and performance assessment. This thesis …
-
Investigation of mutual coupling effects on pattern null reconfigurable antennas in small adaptive arrays
Adaptive arrays composed of fixed pattern elements have been studied extensively in the past. In these arrays, adaptive processing algorithms have control over the magnitude and phase applied to each array element to modify the array pattern. Recently, pattern reconfigurable elements have been …
-
Contributions to Robust Adaptive Signal Processing with Application to Space-Time Adaptive Radar
Classical adaptive signal processors typically utilize assumptions in their derivation. The presence of adequate Gaussian and independent and identically distributed (i.i.d.) input data are central among such assumptions. However, classical processors have a tendency to suffer a degradation in …
-
Robust GM Wiener Filter in the Complex Domain
Space-Time Adaptive Processing is a signal processing technique that uses an adaptive array to help remove nonhomogeneous data points from a dataset. Since the early 1970s, STAP has been used in radar systems for their ability to "filter clutter, interference and jamming signals. One major flaw …
-
Robust vector sensor array processing and performance analysis
… A sizable literature exists on the theory of processing signals for many vector sensor array applications. In practice, however, mismatch (the difference between the assumed and actual system configurations), several noise processes and low sample support can pose significant problems. …
-
Space/time/frequency methods in adaptive radar
… ground targets and the mismatch between the SAR processing parameters and the target motion parameters causes the energy to spill over to adjacent image pixels, thus hindering target feature extraction and reducing the probability of detection. The problem can be remedied by generating the image …
-
Robust Steering Vector Mismatch Techniques for Reduced Rank Adaptive Array Signal Processing
… is on the development of advanced reduced rank adaptive signal processing for airborne radar space-time adaptive processing (STAP) and steering vector mismatch robustness. This is an important area of research in the field of airborne radar signal processing since practical STAP algorithms …
-
Investigation of ground moving target indication techniques for a multi-channel synthetic aperture radar
… ground objects (often termed clutter), processing techniques called Ground Moving Target Indication (GMTI) techniques are required. This is especially required for targets that are moving at relative velocities lower than the stationary clutter's relative velocity to the radar platform …
-
Interference Mitigation by Reconfigurable Adaptive Antenna Array
… a novel approach that employs reconfigurable adaptive array strategy by antenna selection in order to reduce the cost while preserving/achieving the best performance. Essentially, our strategy considers the array configuration as another DoF in the receiver design. We use compressive sensing …
-
Integrated perception, modeling, and control paradigm for bistatic sonar tracking by autonomous underwater vehicles
… by two algorithms: (i) the Sonar Signal Processing algorithm - built with a new dual-waveform fusion of the FM and CW signals to achieve reliable stream of contacts for improved tracking; and (ii) the Target Tracking algorithm - implemented by exploiting information and environmental …
-
Adaptive approaches to signal enhancement and deconvolution (with particular reference to reflection seismology)
… are important aspects of digital<br/>signal processing. Many techniques have been developed to achieve these<br/>twin aims, the vast majority however were designed to deal with stationary<br/>signals. However, many practically occurring signals are significantly<br/>non-stationary and these …
-
Toward an integrated model of sentence processing in reading
In experiments investigating sentence processing, eye movement measures such as fixation durations and regression proportions while reading are commonly used to draw conclusions about processing difficulties. However, these measures are the result of an interaction of multiple cognitive levels and …
Page 1 of 2