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Adaptive array signal processing using the concentric ring array and the spherical array
(University of Missouri--Columbia, 2009)
This thesis introduces new methods for partial adaptive beamforming using concentric ring and spherical arrays for acoustic signals on a partially known interference environment. We propose novel methods to choose intra-ring ...
Improving performance for adaptive filtering with voice applications
(University of Missouri--Columbia, 2007)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Adaptive filtering is a common solution to many signal processing applications in which the environments are time varying. Its performance is limited ...
Source localization using TDOA with erroneous receiver positions
(University of Missouri--Columbia, 2005)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Source localization has been an active research for several years. It has applications in many areas such as geolocation and mobile user location. ...
Techniques for improving landmine detection using ground penetrating radar
(University of Missouri--Columbia, 2006)
Improving the probability of detection of landmines is a challenging task for many scientists all around the world. The goal of this research is to be a part of this challenging work to investigate techniques for landmine ...
The spatial cross-correlation coefficient as an ultrasonic detection statistic
(University of Missouri--Columbia, 2007)
In ultrasonics, image formation and detection are most commonly based on signal amplitude. Matched filtering is an amplitude independent approach, but requires accurate template estimation. In this work, we introduce the ...
Advanced feature based techniques for landmine detection using ground penetrating radar
(University of Missouri--Columbia, 2007)
Land mine detection is an important and yet challenging problem that remains to be solved. It is not only a problem for military, but also for humanitarian concern. The goal of this research is to propose some techniques ...
Broadband beamforming and direction finding using concentric ring array
(University of Missouri--Columbia, 2005)
Sensor arrays have been used widely in applications including radar, sonar, seismology, biomedicine, communications and imaging. A very popular type of sensor array is circular array, which has almost invariant array pattern ...
An efficient closed-form solution for wideband source direction-of-arrival estimation
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We propose and develop in this research an efficient closed-form solution to estimate the direction-of-arrivals (DOAs) for a wideband source signal, ...
On the use of multiple emitters to improve the TDOA source localization accuracy in the presence of random sensor position errors
(University of Missouri--Columbia, 2010)
It is known that random sensor position errors can significantly degrade the TDOA source localization accuracy. In this thesis, we conduct a systematic study on using the calibration emitters to mitigate the effect of ...
Source localization in the presence of sensor manifold uncertainties and synchronization error
(University of Missouri--Columbia, 2011)
Passive source localization is a commonly used technology which can be applied to many areas. A lot of positioning methods have been derived on this subject, such as time of arrivals (TOAs), time differences of arrival ...
Efficient estimators in closed-form for source localization and sensor network self-localization
(University of Missouri--Columbia, 2011)
Passive source localization is a fundamental problem that has received great research interests for decades in many applications. Perhaps the most common approach for localization is to derive certain measurements from the ...
Efficient closed-form estimators in multistatic target localization and motion analysis
(University of Missouri--Columbia, 2021)
Object localization is fast becoming an important research topic because of its wide applications. Often of the time, object localization is accomplished in two steps. The first step exploits the characteristics of the ...
Transmit precoding and Bayesian detection for cognitive radio networks with limited channel state information
(University of Missouri--Columbia, 2017)
Cognitive radio (CR) represents a recent direction for enabling coexistence among heterogeneous networks. It can be a potential solution for the problem of scarce spectrum available for wireless communication systems. The ...
Localization in challenging environment using geometric and machine learning techniques
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The establishment of robust sensor network applications requires accurate and non complex positioning techniques using a full or partial set of ...
Moving object localization using frequency measurements
(University of Missouri--Columbia, 2021)
This research investigates the ability of locating a moving object using the Doppler shifts of a carrier frequency signal sent or re ected by the object and observed by several fixed or moving sensors spatially distributed ...
Detection and classification of brainwaves using digital signal processing techniques
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Different activities of our human brain can be detected as different brainwaves. The brainwaves are divided into different types based on their ...
Data processing techniques of hydraulic bed sensor and doppler radar for elder care
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Population aging is a common phenomenon in a society. The developed country like the United States, eldercare is becoming an important issue nowadays. ...
Classification of mixed data points for coupled circles estimation
(University of Missouri--Columbia, 2015)
Concentric circles fitting is a challenge task since the nonlinear fitting problem needs to find out the implicit relationship between the noisy measurement data points and the unknown parameters, circles center and radii, ...
Effective source separation algorithm using NMF and sparse NMF for acoustic fall detection
(University of Missouri--Columbia, 2014)
Subsurface explosive hazard detection using MIMO forward-looking ground penetrating radar
(University of Missouri--Columbia, 2015)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This research develops a machine learning algorithm for subsurface object detection on multiple-input-multiple-output (MIMO) forward-looking ...