Array Processing
Kronecker Product Beamforming
Authors: Benesty, Jacob, Cohen, Israel, Chen, Jingdong
Free Preview- Explains how to perform beamforming with Kronecker product filters
- Shows how to derive fixed, adaptive, and differential beamformers with remarkable flexibility
- Helps overcome the problem of spatiotemporal signal enhancement using Kronecker product filtering
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- About this book
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The focus of this book is on array processing and beamforming with Kronecker products. It considers a large family of sensor arrays that allow the steering vector to be decomposed as a Kronecker product of two steering vectors of smaller virtual arrays. Instead of directly designing a global beamformer for the original array, once the steering vector has been decomposed, smaller virtual beamformers are designed and separately optimized for each virtual array. This means the matrices that need to be inverted are smaller, which increases the robustness of the beamformers, and reduces the size of the observations.
The book explains how to perform beamforming with Kronecker product filters using an unconventional approach. It shows how the Kronecker product formulation can be used to derive fixed, adaptive, and differential beamformers with remarkable flexibility. Furthermore, it demonstrates how fixed and adaptive beamformers can be intelligently combined, optimally exploiting the advantages of both. The problem of spatiotemporal signal enhancement is also addressed, and readers will learn how to perform Kronecker product filtering in this context.
- Table of contents (7 chapters)
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Introduction
Pages 1-7
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Problem Formulation with Uniform Linear Arrays
Pages 9-17
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Beamforming with Uniform Linear Arrays
Pages 19-81
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Generalization with Uniform Linear Arrays
Pages 83-112
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Approach with Nonuniform Linear Arrays
Pages 113-145
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Table of contents (7 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Array Processing
- Book Subtitle
- Kronecker Product Beamforming
- Authors
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- Jacob Benesty
- Israel Cohen
- Jingdong Chen
- Series Title
- Springer Topics in Signal Processing
- Series Volume
- 18
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-15600-8
- DOI
- 10.1007/978-3-030-15600-8
- Hardcover ISBN
- 978-3-030-15599-5
- Series ISSN
- 1866-2609
- Edition Number
- 1
- Number of Pages
- XI, 189
- Number of Illustrations
- 1 b/w illustrations
- Topics
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