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Saturday, July 25, 2020 | History

3 edition of Using spectral estimation techniques in adaptive processing antenna systems found in the catalog.

Using spectral estimation techniques in adaptive processing antenna systems

Using spectral estimation techniques in adaptive processing antenna systems

  • 66 Want to read
  • 31 Currently reading

Published by Naval Research Laboratory in Washington, D.C .
Written in English

    Subjects:
  • Antenna arrays.,
  • Spectrum analysis.

  • Edition Notes

    StatementW.F. Gabriel.
    SeriesNRL report -- 8920
    ContributionsNaval Research Laboratory (U.S.)
    The Physical Object
    FormatMicroform
    Paginationiii, 38 p.
    Number of Pages38
    ID Numbers
    Open LibraryOL22447392M

      Hence, the smart antennas systems relay on the adaptive signal processing techniques such as DOA estimation and adaptive beamforming under the use of multiple antenna configurations (antenna arrays). Here, it is very useful to make some comments about the importance of antenna arrays in the development of the previous concepts. Publications about 'Spectral Estimation' Books and proceedings. Petre Stoica and Randolph L. Moses. Spectral Analysis of Signals. Prentice Hall, Upper Saddle River, NJ, Keyword(s): Spectral Estimation, MUSIC, Capon, Beamforming, Direction-of-arrival estimation, SAR Processing, SAR Tomography. [bibtex-entry] Articles in journal or book.

    Processing techniques for the estimation of the power, the frequency shift, and the spectral width of mesosphere‐stratosphere‐troposphere (MST) radar returns are presented. The different techniques are compared in terms of statistical goodness of the estimators and in . The authors introduce a multidisciplinary perspective on adaptive sensor array processing. The uses of adaptive sensor array processing for the applications of radar detection using space-time adaptive processing, partially adaptive radar detection, multispectral infra-red imaging, optical moving target detection and synthetic aperture radar automatic target detection and recognition are.

    Mobile Antenna Systems Handbook, Third Edition Multiband Integrated Antennas for 4G Terminals Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing Post-Processing Techniques for Integrated MEMS Fundamentals and Applications of Microfluidics, Second Edition. Adaptive estimation techniques (recursive least-squares algorithms, recursive maximum likelihood, and lattice algorithms) for AR and ARMA processes are presented in chapter 8. Chapter 9 deals with the estimation of multiple sinusoidal signals in noise (maximum likelihood and its approximations, linear prediction methods, and covariance-matrix.


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Using spectral estimation techniques in adaptive processing antenna systems Download PDF EPUB FB2

Abstract: Improved spectral estimation techniques hold promise for becoming a valuable asset in adaptive processing array antenna systems. Their value lies in the considerable amount of additional useful information which they can provide about the interference environment, utilizing a relatively small number of degrees of freedom (DOF).Cited by: Improved spectral estimation techniques are an emerging technology which derives largely from modern spectral estimation:heory of the past decade and adaptive array processing techniques [1,2,3j.

Coupled with the phenomenal advances in digital processing, these techniques are becoming a valuable asset for adaptive array antenna systems. Get this from a library. Using spectral estimation techniques in adaptive processing antenna systems. [William F Gabriel; Naval Research Laboratory (U.S.).

Electromagnetics Branch.]. Two conceptual application areas for using spectral estimation techniques in adaptive processing antenna systems are presented. The cases of partially adaptive low-sidelobe arrays, and fully adaptive tracking arrays are discussed.

In both cases, improved spectral estimation techniques are used separately to achieve 'superresolution' capabilities, estimation of coherent sources, relative Cited by:   Improved spectral estimation techniques are applied to adaptive processing array antenna systems. They are invaluable because the amount of additional useful information they can provide about the interference environment, utilizing only a relatively small number of degrees-of-freedom (DOF).

Two conceptual application area examples that use such techniques are discussed; partially-adaptive Cited by: 7.

Using Spectral Estimation Techniques in Adaptive Processing Antenna Systems W. Gabriel {IEEE Transactions on Antennas and Propagation, March ). Implementation of Adaptive Array Algorithms R.

Schreiber {IEEE Transactions on Acoustics, Speech, and Signal Processing. Space-time adaptive processing (STAP) is a signal processing technique most commonly used in radar systems.

It involves adaptive array processing algorithms to aid in target detection. Radar signal processing benefits from STAP in areas where interference is a problem (i.e.

ground clutter, jamming, etc.).Through careful application of STAP, it is possible to achieve order-of-magnitude. The purpose of this book is to provide the reader a broad view of the system aspects of smart antennas.

In fact, smart antenna systems comprise several critical areas such as individual antenna array design, signal processing algorithms, space-time processing, wireless channel modeling and coding, and network performance.5/5(1). G.V. Borgiotti, L.J. Kaplan: Superresolution of uncorrelated interference sources by using adaptive array techniques, IEEE AP, – () Google Scholar M.A.

Lagunas, F. Vallverdu: Rayleigh estimates for high resolution direction finding, in Underwater Acoustic Data Processing, ed.

Y.T. Chan, NATO ASI Series E, (Kluwer. Abstract. Adaptive beamforming technology has been actively discussed in the literature for at least two decades, and is now, increasingly, finding applications in radar, sonar, and communications systems.

The following plots show the comparisons of amplitude spectral estimation for a speech data () with samples and a sampling rate of Hz using the rectangular window (no window) function and the Hamming window function.

As demonstrated in Fig. (two-sided spectrum) and Fig. (one-sided spectrum), there is little difference between the amplitude spectrum using. element circular array antenna system. Figure 4. Radiation pattern produced by a circular 8-element adaptive array antenna system (o). The process of determining the angle of the incoming signal is called the direction of arrival (DOA) estimation.

This is accomplished by processing. Radar Techniques Using Array Antennas is a thorough introduction to the possibilities of radar technology based on electronic steerable and active array antennas.

Topics covered include array signal processing, array calibration, adaptive digital beamforming, adaptive monopulse, superresolution, pulse compression, sequential detection, target detection with long pulse series, space-time. Introductory, systematic treatment of the many interrelated aspects.

Twenty-three contributions address the fundamentals, spectral estimation algorithms, image processing, land and ocean seismic data, telecommunications, 3-D object reconstructions. Alk. paper. Annotation copyright Book News, Inc. The purpose of this book is to provide the reader a broad view of the system aspects of smart antennas.

In fact, smart antenna systems comprise several critical areas such as individual antenna array design, signal processing algorithms, space-time processing, wireless channel modeling and coding, and network performance. This book gives a brief overview of fundamentals of Digital Signal Processing and Stochastic methods, before graduating to the core topics, namely Signal Modeling and Parameter EstimationNon-parametric estimation, Optimal filter design and structurs, RLS, LMS and Adaptive Reviews: 5.

Main Adaptive Antennas for Wireless Communications Due to the technical work on the site downloading books (as well as file conversion and sending books to email/kindle) may be unstable from May, 27 to May, 28 Also, for users who have an active donation now, we will extend the donation period.

A class of covariance matching estimation techniques (COMET) has recently attracted interest in the signal processing community. These techniques have their roots in the statistical literature where they are sometimes referred to as generalized least squares methods.

Today, the significance of the wireless communication is known all over the world. In order to achieve the better communication, many techniques and methods have been introduced.

Among these techniques, smart/adaptive antennas are trending topic in the research domain. The smart antennas consist of various antennas arrays and have the ability to optimize the radia-tion and reception of the.

Adaptive antenna arrays (AAs) facilitate attractive signal processing techniques with potential to increase the spectral efficiency of the universal mobile telecommunications system (UMTS). To address this problem, different parametric and data-adaptive nonparametric spectral estimation techniques have been developed in the literature (see, e.g.

[4]- [11]). In [10], the authors.Gives a brief introduction to space-time adaptive processing (STAP) techniques and illustrates how to use Phased Array System Toolbox™ to apply STAP algorithms to the received pulses.

STAP is a technique used in airborne radar systems to suppress clutter and jammer interference. Gaussian model adaptive processing (GMAP) (Siggia and Passarelli ) is a frequency domain method that not only filters out clutter points but also attempts to recover precipitation components that have been removed.

However, the limitation of this or any spectral filtering method is the effect of spectral leakage caused by finite data length.