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Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

6. Sparse Recovery Based IN Cancelation

verfasst von : Sicong Liu

Erschienen in: Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation

Verlag: Springer Singapore

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Abstract

In this chapter, the second key techn ology on the third scientific problem of this book, i.e. the sparse recovery theory based impulsive noise (IN) reconstruction and cancelation, is investigated. The highly efficient new technique of accurate IN recovery and cancelation based on compressed sensing and structured compressed sensing theories is proposed to overcome the limitation of the conventional “passive” anti-IN methods and reach the research target of actively and accurately recover and completely eliminate the IN in broadband communication systems. In this chapter, first, to address the issue of the state-of-the-art methods, the IN recovery and cancelation method based on prior aided compressed sensing is proposed. Second, for the MIMO system, a structured compressed sensing based IN recovery algorithm exploiting spatial correlation is proposed. Finally, the method of combined NBI and IN recovery and cancelation based on the time-frequency combined compressed sensing framework is proposed to overcome the impacts from the NBI and IN on broadband communication systems.

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Vorheriges Kapitel Sparse Recovery Based NBI Cancelation
Nächstes Kapitel Conclusions
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Metadaten
Titel
Sparse Recovery Based IN Cancelation
verfasst von
Sicong Liu
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation

Print ISBN: 978-981-15-4723-2

Electronic ISBN: 978-981-15-4724-9

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-15-4724-9_6

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