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Sparse sensing and sparsity sensed in multi-sensor array applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sparse sensing and sparsity sensed in multi-sensor array applications/ by Xiangrong Wang ... [et al.].
other author:	Wang, Xiangrong.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xviii, 379 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Foundation -- Array Processing Fundamentals -- Multi-Sensor Array Applications -- Sparse Sensing via Antenna Selection -- Sparse Sensing for Determininic Beamforming -- Sparse Sensing for Adaptive Beamforming -- Cognitive-Driven Optimization of Sparse Sensing -- Sparse Sensing for MIMO Array Radar -- Sparse Sensing for Target Detection -- Sparse Sensing for Dual-Functional Radar Communications -- Sparsity Sensed using Sparse Arrays -- Sparsity Sensed with Thinned Antenna Array -- Sparsity Sensed for Enhanced DOA Estimation.
Contained By:	Springer Nature eBook
Subject:	Antenna arrays. -
Online resource:	https://doi.org/10.1007/978-981-99-9558-5
ISBN:	9789819995585

Sparse sensing and sparsity sensed in multi-sensor array applications
Sparse sensing and sparsity sensed in multi-sensor array applications[electronic resource] /by Xiangrong Wang ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xviii, 379 p. :ill. (some col.), digital ;24 cm.

Foundation -- Array Processing Fundamentals -- Multi-Sensor Array Applications -- Sparse Sensing via Antenna Selection -- Sparse Sensing for Determininic Beamforming -- Sparse Sensing for Adaptive Beamforming -- Cognitive-Driven Optimization of Sparse Sensing -- Sparse Sensing for MIMO Array Radar -- Sparse Sensing for Target Detection -- Sparse Sensing for Dual-Functional Radar Communications -- Sparsity Sensed using Sparse Arrays -- Sparsity Sensed with Thinned Antenna Array -- Sparsity Sensed for Enhanced DOA Estimation.

The book focuses on sparse multi-sensor array systems and design approaches. Both principles and engineering practice have been addressed, with more weight placed on algorithm development. This is achieved by providing an in-depth study on sparse sensing for several major multi-sensor array applications such as beam-pattern synthesis, adaptive beamforming, target detection, arrival angle estimation, and dual-functional radar communications. Sparsity sensed in multi-sensor arrays refers to the sparse property of the spatial spectrum sensed. The exploitation of the sparsity in the sensed can significantly enhance the performance of signal processing systems. The comprehensive and systematic treatment of theory and practice in different array applications is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in array signal processing. The book benefits researchers, engineers, and graduate students in the fields of signal processing, electrical engineering, telecommunications, etc.

ISBN: 9789819995585

Standard No.: 10.1007/978-981-99-9558-5doiSubjects--Topical Terms:

606839
Antenna arrays.

LC Class. No.: TK7871.67.A77

Dewey Class. No.: 621.695

Sparse sensing and sparsity sensed in multi-sensor array applications
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245 0 0 $a Sparse sensing and sparsity sensed in multi-sensor array applications $h [electronic resource] / $c by Xiangrong Wang ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xviii, 379 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Foundation -- Array Processing Fundamentals -- Multi-Sensor Array Applications -- Sparse Sensing via Antenna Selection -- Sparse Sensing for Determininic Beamforming -- Sparse Sensing for Adaptive Beamforming -- Cognitive-Driven Optimization of Sparse Sensing -- Sparse Sensing for MIMO Array Radar -- Sparse Sensing for Target Detection -- Sparse Sensing for Dual-Functional Radar Communications -- Sparsity Sensed using Sparse Arrays -- Sparsity Sensed with Thinned Antenna Array -- Sparsity Sensed for Enhanced DOA Estimation.
520 $a The book focuses on sparse multi-sensor array systems and design approaches. Both principles and engineering practice have been addressed, with more weight placed on algorithm development. This is achieved by providing an in-depth study on sparse sensing for several major multi-sensor array applications such as beam-pattern synthesis, adaptive beamforming, target detection, arrival angle estimation, and dual-functional radar communications. Sparsity sensed in multi-sensor arrays refers to the sparse property of the spatial spectrum sensed. The exploitation of the sparsity in the sensed can significantly enhance the performance of signal processing systems. The comprehensive and systematic treatment of theory and practice in different array applications is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in array signal processing. The book benefits researchers, engineers, and graduate students in the fields of signal processing, electrical engineering, telecommunications, etc.
650 0 $a Antenna arrays. $3 606839
650 1 4 $a Microwaves, RF Engineering and Optical Communications. $3 3538694
650 2 4 $a Digital and Analog Signal Processing. $3 3538815
700 1 $a Wang, Xiangrong. $3 3713313
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-99-9558-5
950 $a Engineering (SpringerNature-11647)