Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications

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 applicat...

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Váldodahkkit: Wang, Xiangrong (Dahkki), Wang, Xianghua (Dahkki), Zhai, Weitong (Dahkki), Cai, Kaiquan (Dahkki)
Searvvušdahkki: SpringerLink (Online service)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Preanttus:1st ed. 2024.
Fáttát:
Liŋkkat:https://doi.org/10.1007/978-981-99-9558-5
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245 1 0 |a Sparse Sensing and Sparsity Sensed in Multi-sensor Array Applications  |h [electronic resource] /  |c by Xiangrong Wang, Xianghua Wang, Weitong Zhai, Kaiquan Cai. 
250 |a 1st ed. 2024. 
264 1 |a Singapore :  |b Springer Nature Singapore :  |b Imprint: Springer,  |c 2024. 
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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. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
532 8 |a No reading system accessibility options actively disabled 
532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
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700 1 |a Zhai, Weitong.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Cai, Kaiquan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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