Performance Comparison of Superresolution Array Processing Algorithms. Revised

Performance Comparison of Superresolution Array Processing Algorithms. Revised
Author:
Publisher:
Total Pages: 0
Release: 1998
Genre: Algorithms
ISBN:

This report summarizes the results of the initial phase of a comprehensive simulation study of alternative signal processing algorithms for data adaptive superresolution direction finding and spatial nulling to support signal copy in the presence of strong cochannel interference. The need for such a study arises because, although most of the techniques evaluated have been documented in the literature, no systematic comparison has heretofore been undertaken. The general approach of the current study is to simulate a sequence of increasingly more general, i.e, realistic, signaling environments, and to expose each of the more promising algorithms to all of the "standardized" experiments, in turn. For the initial phase of the inquiry, we have selected an ideal environment characterized by a uniform, linear array of identical isotropic elements and perfect receivers. In addition, partial results are obtained for the case when the array steering vectors are in error by a small amount which might be caused by residual calibration errors, unmodeled multipath distortions, near-field emitters, etc.

Radio Direction Finding and Superresolution

Radio Direction Finding and Superresolution
Author: P. J. D. Gething
Publisher: IET
Total Pages: 392
Release: 1991
Genre: Science
ISBN: 9780863412387

Enlarged and revised second edition. Modern direction finders, capable of measuring elevation angles as well as azimuth angles on the components of multi-ray wavefields, have become powerful tools for research in ionospheric physics and HF radio propagation. The complexity of the problem of resolving closely-spaced rays requires the combined use of wide aperture antenna arrays, multichannel receiving systems and sophisticated digital processing techniques.

An Algebraic Approach to Super-Resolution Adaptive Array Processing

An Algebraic Approach to Super-Resolution Adaptive Array Processing
Author: James A. Cadsow
Publisher:
Total Pages: 4
Release: 1981
Genre:
ISBN:

In this paper, an algebraic characterization is made of the problem of resolving two or more closely spaced (in frequency wave number) plane waves incident on a linear array. This algebraic characterization in turn suggests a number of adaptive procedures for effecting the desired resolution. One of these procedures is herein empirically shown to provide significantly better performance when compared to other contemporary procedures used in array processing such as the Wiener filter, Pisarenko and LML algorithms. This includes both a better frequency resolving capability and a faster convergence rate.

Radar Array Processing

Radar Array Processing
Author: Simon Haykin
Publisher: Springer Science & Business Media
Total Pages: 326
Release: 2013-03-08
Genre: Technology & Engineering
ISBN: 3642773478

Radar Array Processing presents modern techniques and methods for processingradar signals received by an array of antenna elements. With the recent rapid growth of the technology of hardware for digital signal processing, itis now possible to apply this to radar signals and thus to enlist the full power of sophisticated computational algorithms. Topics covered in detail here include: super-resolution methods of array signal processing as applied to radar, adaptive beam forming for radar, and radar imaging. This book will be of interest to researchers and studentsin the radar community and also in related fields such as sonar, seismology, acoustics and radio astronomy.

Massive Access for Cellular Internet of Things Theory and Technique

Massive Access for Cellular Internet of Things Theory and Technique
Author: Xiaoming Chen
Publisher: Springer
Total Pages: 130
Release: 2019-05-07
Genre: Technology & Engineering
ISBN: 9811365970

This book focuses on massive access to the cellular internet of things (IoT). Both theory and technique are addressed, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of central topics such as channel state information acquisition, user clustering, superposition coding, and successive interference cancellation. Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario. The comprehensive and systematic treatment of key techniques in massive access to the cellular IoT is one of the major features of the book, which is particularly suited for readers who are interested in finding practical solutions for the cellular IoT. As such, it will benefit researchers, engineers, and graduate students in the fields of information engineering, telecommunications engineering, computer engineering, etc.

Comparison of Superresolution Algorithms with Different Array Geometriesfor Radio Direction Finding

Comparison of Superresolution Algorithms with Different Array Geometriesfor Radio Direction Finding
Author: Ku-Ting Lin
Publisher:
Total Pages: 106
Release: 1998-09-01
Genre:
ISBN: 9781423557647

The objective of this thesis is to investigate and evaluate the effectiveness of modern estimation methods with different array geometries as they apply to the problem of bearing estimation. The algorithms were selected from those that apply to multidimensional direction finding, and include MUSIC, PHD, minimum norm, and Capon's beam-former. These four techniques based on their high resolution capability, and their ability to deal with three-dimensional non-uniform arrays and to estimate both azimuth and elevation angle of arrival (AQA). Computer simulations were run linear arrays, circular array, and combinations of the two. The test conditions included: (1) two closely spaced emitters, and (2) various levels of additive white Gaussian noise.