2 edition of Adaptive sensor array processing in non-stationary signal environments found in the catalog.
Adaptive sensor array processing in non-stationary signal environments
Stephen David Hayward
Thesis (Ph.D) - University of Birmingham, School of Electronic and Electrical Engineering, Faculty of Engineering, 2000.
|Statement||by Stephen David Hayward.|
|The Physical Object|
|Pagination||217 p. :|
|Number of Pages||217|
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A handbook on recent advancements and the state of the art in array processing and sensor Networks. Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and Adaptive sensor array processing in non-stationary signal environments book networks.
Focusing on fundamental principles as well as applications, the Cited by: Adaptive sensor array processing in non-stationary signal environments. By S.D. Hayward. Abstract. Available from British Library Document Supply Centre-DSC:DXN / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo PHASES ARRAY RADAR, Author: S.D.
Hayward. Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.
Book Description. Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form.
Encompassing essential background material, technical details, standards, and. By adaptive signal processing, we mean, in general, adaptive?- known environments where we need to model, identify, or track time-varying channels, adaptive?ltering has been proven to be an e?ective and powerful tool.
As a result, this tool is now in use in many di?erent?elds. Since. A handbook on recent advancements and the state of the art in array processing and sensor Networks Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks.
Focusing on fundamental principles as well as applications, the. Passive source localization Adaptive sensor array processing in non-stationary signal environments book one of the issues in array signal processing fields. In some practical applications, the signals received by an array are the mixture of near-field and far-field.
4 Robustness Issues in Sensor Array Processing Alex B. Gershman. Introduction 91 Direction-of-Arrival Estimation 92 Adaptive Beamforming Conclusions Acknowledgments References 5 Wireless Communication and Sensing in Multipath Environments Using Multiantenna Transceivers Akbar M.
Sayeed and Thiagarajan. Array Signal Processing-Don H. Johnson This is the first book on the market to bring together material on array signal processing in a coherent fashion, with uniform notation and convention of models.
KEY TOPICS: Using extensive examples and problems, it presents not only the theories of propagating waves and conventional array processing. A sensor array is a group of sensors, usually deployed in a certain geometry pattern, used for collecting and processing electromagnetic or acoustic signals.
The advantage of using a sensor array over using a single sensor lies in the fact that an array adds new dimensions to the observation, helping to estimate more parameters and improve the estimation performance.
Adaptive Microphone Array Processing for High-Performance Speech Recognition in Car Environment variable weights on the taps of the sensor array to minimize noise power in the array output.
Book description. A handbook on recent advancements and the state of the art in array processing and sensor Networks. Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks.
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).
unfolding the signal parameters forms the essence of sensor array signal processing as presented herein, and continues to be an important and active topic of research. Parametric Data Model Most modern approaches to signal processing are model- based, in the sense that they rely on certain assumptions made on the observed data.
Academic Press Library in Signal Processing, Volume 7: Array, Radar and Communications Engineering is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in Array and Radar Processing, Communications Engineering and.
Abstract—We consider a sensor array located in an enclo-sure, where arbitrary transfer functions (TFs) relate the source signal and the sensors. The array is used for enhancing a signal contaminated by interference.
Constrained minimum power adaptive beamforming, which has been suggested by Frost and, in particular, the generalized sidelobe. Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing (Catalog no. ) thoroughly covers the foundations of signal processing related to wireless, radar, space–time coding, and mobile communications together with associated applications to networking, storage, and communications.
This chapter describes the design and implementation of a smart acoustic sensor array (SASA) system that consists of a 52 microphone microelectromechanical systems array embedded in a field-programmable gate array platform with real-time data acquisition, signal processing, and network communication capabilities.
of a desired signal in an environment having several sources of interference, it is neces-sary to understand the nature of the signals as well as the properties of an array of sensor elements. Furthermore, the types of elements and their arrangement impact the adaptive array performance.
Conventional time-frequency analysis methods were extended to data arrays in many applications, and there is the potential for more synergistic development of new advanced tools by exploiting the joint properties of time-frequency methods and array signal processing methods.
Conventional array signal processing assumes stationary signals and. of adaptive signal processing. Brief overview of applications a. Linear prediction. Speech coding c. Noise cancellation d. Echo cancellation e. Adaptive filtering f. System identification g. Equalization and deconvolution h.
Adaptive beamformingand array processing i. Signal separation. Cite this chapter as: Wax M. () Adaptive Processing in Sensor Arrays. In: Davisson L.D., Longo G. (eds) Adaptive Signal Processing.
International Centre for Mechanical Sciences (Courses and Lectures), vol Sensor Array Signal Processing - 2nd Edition - Prabhakar S Array signal processing is a fairly new topic in communications and signal processing. This textbook provides broad and deep coverage on this attractive field.
Well-written and highly readable makes this book an invaluable resource for both students and engineers. Book Description.
Now available in a three-volume set, this updated and expanded edition of the bestselling Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form.
Encompassing essential background material, technical details, standards, and. Introduction. Sensor arrays have been widely used in a variety of applications including estimation of the direction of arrival (DOA) of signals [1,2], tracking systems, location of sources , and suppression of interference signals , amongst ve array systems are able to locate and track signals (of users and interferences), dynamically adjusting the sensor alignment to.
For this Special Issue, we solicit review articles, original research papers, and short communications covering all aspects of integrated sensor arrays and array signal processing, including: miniaturized transducer arrays, electronics for sensor arrays, such as analog front end, physical-to-digital convertors and telemetry circuits, and array.
Ghofrani, M. Amin, and Y. Zhang, “High-resolution direction finding of non-stationary signals using matching pursuit,” Signal Processing, special issue on Advances in Sensor Array Processing in Memory of Alex B.
Gershman, vol. 93 (), p.Dec. Sensor array processing / Mostafa Kaveh --Complex random variables and stochastic processes / Daniel R. Fuhrmann --Beamforming techniques for spatial filtering / Barry Van Veen and Kevin M.
Buckley --Subspace-based direction-finding methods / Egemen Gönen and Jerry M. Mendel --ESPRIT and closed-form 2-D angle estimation with planar arrays. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, The audio sensor array comprises one or more sensors, each of which may convert sound waves into an audio signal.
In the illustrated environment, the audio sensor array comprises a plurality of microphones an, each generating one audio channel of a multi-channel audio signal.
signal processing and detection techniques. With the advent of large synthesis arrays, signal processing algorithms increased in sophistication . More recently, interest in phased array feeds (PAFs) has opened a new frontier for array signal processing algorithm development for RA observations.
Array feeds in use at present consist of. Gate Array) platform with real-time data acquisition, signal processing, and network communication capabilities.
The SASA system is evaluated using several case studies in order to demonstrate the versatility and scalability of the sensor array platform for real-time sound analysis applications. In this Adaptive Arrays: Algorithms, Architectures and Applications course, you will study in-depth adaptive signal processing algorithms and digital beamforming architectures that can be applied to any type of sensor array, with emphasis on radar and communications applications.
Explore adaptive jammer cancellation techniques, beginning with. Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications.
This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. Adaptive array sensor processing applications for mobile telephone communications estimation for a cellular mobile radio environment whose cluster size is varied from K=7, K=4, and K=3; more signals and scattering scenarios that typically arise in urban areas are taken into account.
This information is used to beamform toward the signal. Adaptive Signal Processing in Non-Gaussian Noise Backgrounds / Muralidhar Rangaswamy and James H.
Michels CFAR Adaptive Subspace Detector is a Scale-Invariant GLRT / Shawn Kraut and Louis L. Scharf Optimal Fusion Processor for Multiple Radar Surveillance / William B.
Bishop. • Multichannel processing • Non-Gaussian, nonlinear, and non-stationary models • Non-wave based array processing • Performance evaluations with experimental data • Remote sensing of the environment • Sensor networks • Source detection • Space-time adaptive methods • Tensor-based signal processing.
Co-Prime Sensor Array Signal Processing. Funded by the Office of Naval Research Basic Research Challenge Program. Stochastic Eigen-Analysis for Adaptive Array Processing.
Funded by the Office of Naval Research Undersea Signal Processing Program. Mode Processing and Tomography for the Philippine Sea Experiment.
Coprime array-based DOA estimation in unknown nonuniform noise environment. Digital Signal Processing: a Review Journal 2D direction-of-arrival estimation for acoustic sensor arrays. IEEE Signal Processing Letters, 23(12), pp on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAPpp.
doi: Sonar Signal Processing. We are a recognized leader in the development and integration of advanced Anti-Submarine Warfare signal-processing for the US Navy.
We deliver advanced array processing, enabling surveillance platforms to optimize sensor performance tracking quiet threats. Phased Array System Toolbox™ provides algorithms and apps for the design, simulation, and analysis of sensor array systems in radar, wireless communication, EW, sonar, and medical imaging applications.
You can design phased array systems and analyze their performance under different scenarios using synthetic or acquired data.Buck, JR & Singer, ACA performance-weighted blended dominant mode rejection beamformer. in IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol.
July, IEEE Computer Society, pp.10th IEEE Sensor Array and Multichannel Signal Processing. Adaptive beamforming techniques have been successfully developed to improve the reception of a desired signal while suppressing interferences at the output of a sensor array .
Adaptive or smart antennas have become a key component for array signal processing applications in radar, astronomy, sonar, wireless communication, and navigation.