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Sunday, July 26, 2020 | History

5 edition of Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing) found in the catalog.

Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing)

Jian Li

Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing)

by Jian Li

  • 83 Want to read
  • 16 Currently reading

Published by Wiley-Interscience .
Written in English

    Subjects:
  • Technology / Electronics / General

  • The Physical Object
    FormatCD-ROM
    Number of Pages460
    ID Numbers
    Open LibraryOL9813015M
    ISBN 100471733482
    ISBN 109780471733485
    OCLC/WorldCa85784996

    To solve the deviation problem of mainlobe and high sidelobe in the adaptive beamformer with finite snapshots, a robust adaptive beamforming algorithm based on SVD (SVD-RAB) is proposed in this paper. The interference subspace and its orthogonal subspace are acquired by performing SVD on the receiving data matrix. "Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume. Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector.

    Robust Adaptive Beamforming: /ch In this chapter, we first review the background, basic principle and structure of adaptive beamformers. Since there are many robust adaptive beamformingCited by: Robust adaptive beamforming Convex optimization abstract Robustness is typically understood as an ability of adaptive beamforming algorithm to achieve high performance in the situations with imperfect, incomplete, or erroneous knowledge about the source, propagation media, and antenna array. It .

    Adaptive beam forming techniques dynamically adjust the array pattern to optimize some characteristic of the received signal. In beam scanning, a single main beam of an array is steered and the direction can be varied either continuously or in small discrete steps. Antenna arrays using adaptive beamforming techniques can reject interfering. Robust adaptive beamforming in nested array Jie Yangn, Guisheng Liao, Jun Li National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi , China article info Article history: Received 2 December Received in revised form 9 February Accepted 28 February Available online 10 March Keywords.


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Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing) by Jian Li Download PDF EPUB FB2

Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume.

Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering by:   Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume.

Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector/5(2). About this book The latest research and developments in robust adaptive beamforming Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference.

This dynamic technology has diverse applications, including radar, sonar, acoustics. Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume.

Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector. The latest research and developments in robust adaptive beamforming Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference.

This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging. Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume.

Unlike previous efforts, these pioneering studies are. Robust adaptive beamforming / edited by Jian Li and Petre Stoica Jian Li, Petre Stoica Beamforming is a task in array signal processing, used in radar, sonar, acoustics, astronomy, seismology, communications, medical imaging, and other fields.

This book presents an alternative and simplified approaches for the robust adaptive detection and beamforming in wireless communications. It adopts several systems models including DS/CDMA, OFDM/MIMO with antenna array, and general antenna arrays beamforming model.

It presents and analyzes recently developed detection and beamforming algorithms. All the aforementioned issues are addressed in the field of robust adaptive beamforming. One of the earlier excellent reviews of the field is. However, many new techniques and approaches have been developed since this review.

This section aims at revising the most significant robust adaptive beamforming techniques. Robust adaptive beamforming/edited by Jian Li and Petre Stoica. IEEE Transactions on Signal Processing, 53(5), p, May A longer version appeared as chapter 1 of Robust Adaptive Beamforming, edited by P.

Stoica and J. Li, Wiley,pagesISBN   Robust Adaptive Beamforming by Jian Li,available at Book Depository with free delivery worldwide.4/5(1). Signal Processing > Phased Array System > Beamforming and Direction of Arrival Estimation > Tags Add Tags beamforming robust adaptive d signal processing wireless communic.

Abstract: Recently, a new robust adaptive beamforming (RAB) technique was proposed to remove the signal of interest (SOI) component from the sample covariance matrix based on interference-plus-noise covariance matrix reconstruction, which utilizes the Capon spectrum estimator integrated over a region separated from the direction of the SOI.

The book investigates adaptive physical-layer beamforming & resource allocation that ensure reliable data transmission in the multi-antenna broadcast channel. The book presents robust optimization and recommends modelling approximations to deal with the stochastic performance : Springer Nature.

This work presents the latest research and developments in robust adaptive beamforming. Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference.

This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical. In this paper, we propose a new robust adaptive beamforming algorithm with the coprime array. The proposed algorithm yields the beamforming coefficients by estimating the steering vector of the signal-of-interest (SOI) and reconstructing the interference-plus-noise covariance matrix (INCM).

Abstract: Adaptive beamforming algorithms can be extremely sensitive to slight errors in array characteristics. Errors which are uncorrelated from sensor to sensor pass through the beamformer like uncorrelated or spatially white noise.

Hence, gain against white noise is a measure of robustness. An adaptive beamformer is sensitive to model mismatch, especially when the desired signal exists in the training samples.

Focusing on the problem, this paper proposed a novel adaptive beamformer based on the interference-plus-noise covariance (INC) matrix reconstruction method, which is robust with gain-phase errors for uniform or sparse linear array. Outline Background 4 Robust Adaptive Beamforming Methods LCMP White Noise Gain Constraint Gershman et al.

Stoica et al. Simulations Intro to Matched Field Processing MFP simulations MFP results on the actual data Conclusion. Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume.

Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering : $Li is known for her contributions to MIMO (multi-input multi-output) radar signal processing, robust adaptive beamforming, spectral estimation and medical imaging.

She edited the popular book MIMO Radar Signal Processing and Robust Adaptive Beamforming attracting high citations.Robust-Adaptive-Beamforming. A robust and optimized system architecture has been developed and designed for adaptive beamformer with a Microphone Array. The system includes following subsystems - MMSE STSA Estimator, DOI (Direction of Interest) Estimator and an Adaptive Beamformer.

The system architecture had been implemented and tested for.