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J. Foutz
Arizona State University
11Publications
6H-index
532Citations
Publications 11
Newest
#1J. Foutz (ASU: Arizona State University)H-Index: 6
This book provides an introduction to narrowband array signal processing, classical and subspace-based direction of arrival (DOA) estimation with an extensive discussion on adaptive direction of arrival algorithms. The book begins with a presentation of the basic theory, equations, and data models of narrowband arrays. It then discusses basic beamforming methods and describes how they relate to DOA estimation. Several of the most common classical and subspace-based direction of arrival methods a...
64 Citations
#1J. Foutz (ASU: Arizona State University)H-Index: 6
#2Andreas Spanias (ASU: Arizona State University)H-Index: 28
Adaptive algorithms have been applied in beam-forming applications with adaptive linear and planar arrays. In this paper, we are concerned with adaptive beamforming algorithms for 3D semispherical arrays. We present a low rank adaptive algorithm, which we call the 3D low rank recursive least squares approximate power iteration. The algorithm uses a high performance subspace tracker integrated with a low rank RLS beamformer. The algorithm is computationally efficient compared to the RLS beamforme...
2 CitationsSource
#1J. Foutz (ASU: Arizona State University)H-Index: 6
#2Andreas Spanias (ASU: Arizona State University)H-Index: 28
Last.Constantine A. Balanis (ASU: Arizona State University)H-Index: 35
view all 4 authors...
We develop one-dimensional (1D) and two-dimensional (2D) adaptive algorithms that use gradient projections in selected subspaces for use in antenna beamforming. The 1D algorithm is essentially a significantly enhanced version of an eigenspace projection algorithm (EPA) that was previously developed for controls. The 2D algorithm is new and is based on a stacked configuration of the enhanced 1D algorithm. Both algorithms are applied to antenna beamforming in uniform linear and planar arrays. Simu...
23 CitationsSource
#1S. Bellofiore (ASU: Arizona State University)H-Index: 5
#2J. Foutz (ASU: Arizona State University)H-Index: 6
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 28
view all 4 authors...
Part 1 of this paper provided an overview of smart-antenna systems, and presented a planar array as a design example. In addition, Part 1 discussed the potential of smart antennas with regard to providing increased capacity in wireless communication networks. Part 2 introduces the signal-processing aspects of the antenna array. In particular, it describes the utility of direction-of-arrival algorithms in array-antenna systems, and gives an overview of the signal-processing algorithms that are us...
98 CitationsSource
#1S. Bellofiore (ASU: Arizona State University)H-Index: 5
#2Constantine A. Balanis (ASU: Arizona State University)H-Index: 35
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 28
view all 4 authors...
This paper focuses on the interaction and integration of several critical components of a mobile communication network using smart-antenna systems. This wireless network is composed of communicating nodes that are mobile, and its topology is continuously changing. One of the central motivations for this work comes from the observed dependence of the overall network throughput on the design of the adaptive antenna system and its underlying signal processing algorithms. Part 1 of this two-part pap...
162 CitationsSource
#1S. Bellofiore (ASU: Arizona State University)H-Index: 5
#2J. Foutz (ASU: Arizona State University)H-Index: 6
Last.Tolga M. Duman (ASU: Arizona State University)H-Index: 32
view all 8 authors...
This paper focuses on the interaction and integration of several critical components of a mobile ad-hoc network (MANET) using smart antenna systems. A MANET is a wireless network where the communicating nodes are mobile and the network topology is continuously changing. One of the central motivations for this work comes from the observed dependence of the overall network throughput on the design of the adaptive antenna system and its underlying signal processing algorithms. In fact, a major obje...
130 CitationsSource
#1J. Foutz (ASU: Arizona State University)H-Index: 6
#2Andreas Spanias (ASU: Arizona State University)H-Index: 28
In this paper, we develop 1-dimensional (1-D) and 2-dimensional (2-D) adaptive algorithms that use gradient projections in select sub-spaces for use in antenna beamforming. The 1-D algorithm is essentially a significantly enhanced version of an eigen-projection algorithm that was previously developed for system identification. The 2-D algorithm is based on a stacked configuration of the enhanced 1-D algorithm. Both algorithms are applied to antenna beamforming of uniform linear and planar arrays...
3 CitationsSource
#1S. Bellofiore (ASU: Arizona State University)H-Index: 5
#2J. Foutz (ASU: Arizona State University)H-Index: 6
Last.Tolga M. Duman (ASU: Arizona State University)H-Index: 32
view all 8 authors...
This paper focuses on the interaction and integration of several critical components of a mobile ad-hoc network (MANET) using smart antenna systems. A MANET is a wireless network where the communicating nodes are mobile and the network topology is continuously changing. One of the central motivations for this work comes from the observed dependence of the overall network throughput on the design of the adaptive antenna system and its underlying signal processing algorithms. In fact, a major obje...
Source
#1S. Bellofiore (ASU: Arizona State University)H-Index: 5
#2Constantine A. Balanis (ASU: Arizona State University)H-Index: 35
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 28
view all 4 authors...
Smart antenna technology is being considered for mobile platforms such as automobiles, cellular phones (mobile unit), laptops, etc. This paper presents a comprehensive effort on smart antennas that examines and integrates antenna array design, digital signal processing algorithms (for angle of arrival estimation and adaptive beamforming), and the impact of these on the network throughput. The results presented are part of a broader project that considers this antenna system in the context of rec...
2 CitationsSource
#1Andreas Spanias (ASU: Arizona State University)H-Index: 28
#2Susan D. Urban (ASU: Arizona State University)H-Index: 19
Last.Georgios Stylianou (ASU: Arizona State University)H-Index: 8
view all 8 authors...
We describe an Internet-based signal processing laboratory that provides hands-on learning experiences in distributed learning environments. The laboratory is based on an object-oriented Java/sup TM/ tool called Java Digital Signal Processing (J-DSP). J-DSP has been developed at Arizona State University (ASU) and is being used for a virtual laboratory in a senior-level DSP course. J-DSP is written as a platform-independent Java applet that resides on the Web and is thereby accessible by all stud...
44 CitationsSource
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