x Introduction Literature Review Dissertation Organization and Contribution Abbreviations Array Signal Processing Fundamentals and Current Approaches Problem Formulation Maximum Likelihood DOA Estimation with Gaussian Distributions The Stochastic Maximum Likelihood Method The Deterministic Maximum Likelihood Method The Deterministic Cram er Rao Bound for Gaussian Noise Subspace Based DOA Estima...

Radio astronomy forms an interesting application area for array signal processing techniques. Current synthesis imaging telescopes consist of a small number of identical dishes, which track a fixed patch in the sky and produce estimates of the time-varying spatial covariance matrix. The observations sometimes are distorted by interference, e.g., from radio, TV, radar or satellite tranmissions. ...

Many engineering applications require extraction of a signal or parameter of interest from degraded measurements. To accomplish this it is often useful to deploy ne grained statistical models; diverse sensors which acquire extra spatial, temporal, or polarization information; or multidimensional signal representations, e.g. time-frequency or time scale. When applied in combination these approac...

|Multiple source signals impinging on an antenna array can be separated by time-frequency synthesis techniques. Averaging of the time-frequency distributions of the data across the array permits the spatial signatures of sources to play a fundamental role in improving the synthesis performance. Array averaging introduces a weighing function in the time-frequency (t-f) domain that decreases the ...

Modern techniques for sensor array signal processing are hampered by the often un realistic and overly simplistic assumptions used in their development Foremost among these assumptions are those relating to the array geometry or response including for example known sensor positions availability of complete gain phase mutual coupling calibration data uniform linear arrays etc Of course with real...

This paper analyzes an optimal data co l lection and processing system for detecting a random signal f ield in a random noise f ield employing multiple antennas. The statist ical model consists of a Gaussian random signal f ield and an independent Gaussian noise f i e ld . The time optimal data processing system to be analyzed is specified in terms of array deployment and signal/noise space tim...

OF THE DISSERTATION Statistical Nested Sensor Array Signal Processing by Keyong Han Doctor of Philosophy in Electrical Engineering Washington University in St. Louis, 2015 Professor Arye Nehorai, Chair Source number detection and direction-of-arrival (DOA) estimation are two major applications of sensor arrays. Both applications are often confined to the use of uniform linear arrays (ULAs), whi...

Uniform linear array (ULA)-based tapped-delay line (TDL) structure has good performance metrics when the signal sources are located at the middle angles. It offers poor performance when the signal sources are close to the array endfire. In this paper, a new approach is proposed which offers higher performance and desired beamforming on TDL structure when the wideband uncorrelated radio sources ...