Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-37855
Titel: | Complexity reduction for consumer device compressed sensing channel estimation |
VerfasserIn: | Chelli, Kelvin Sirsi, Praharsha Herfet, Thorsten |
Sprache: | Englisch |
Titel: | 2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) |
Seiten: | 189-194 |
Verlag/Plattform: | IEEE |
Erscheinungsjahr: | 2017 |
Erscheinungsort: | Piscataway, NJ |
Freie Schlagwörter: | OFDM V2I IoT Doubly-Selective Channels Channel Estimation Compressed Sensing High Mobility |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag) |
Abstract: | High mobility has become a mandatory consideration in the design and development of wireless communication systems today. It results in a doubly selective or a time-varying multipath channel that is arduous to estimate. Compressed Sensing (CS) schemes like the Rake Matching Pursuit (RMP) algorithm exploit the inherent sparsity in these channels and are often able to resolve the multipath environments into their respective sparse representations, even under the presence of large Doppler shifts. However, the complexity involved is substantial and might imperil practical implementation on resource limited consumer device hardware. We propose a novel low-complexity CS scheme, called as Gradient Rake MP (GRMP) that optimizes the search related to the multipath delays resulting in a complexity that is significantly lower than all CS based channel estimation schemes. Additionally, the results confirm that the Bit Error Rate (BER) performance of GRMP is comparable to that of the more complex RMP algorithm. The dictionary is an imperative requirement of CS schemes and plays a decisive role in the quality of the channel estimate. Often in literature, details regarding the generation of the dictionary and its complexity is ignored and instead a suitable dictionary is assumed to be available at the receiver. This paper investigates the complexity and memory demands associated with the dictionary and presents a novel scheme to build it using the concept of wavelets. The ideas proposed in this paper are targeted towards reducing the complexity associated with the estimation of a doubly selective channel with a goal to enable implementation on consumer hardware. Although implemented for the IEEE 802.11p standard, the proposed ideas are applicable to any Orthogonal Frequency-Division Multiplexing (OFDM) based wireless system that is expected to work in highly mobile environments. |
DOI der Erstveröffentlichung: | 10.1109/ICCE-Berlin.2017.8210625 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-378556 hdl:20.500.11880/34236 http://dx.doi.org/10.22028/D291-37855 |
ISBN: | 978-1-5090-4014-8 978-1-5090-4015-5 (ISBN der Printausgabe) |
Datum des Eintrags: | 7-Nov-2022 |
Fakultät: | MI - Fakultät für Mathematik und Informatik |
Fachrichtung: | MI - Informatik |
Professur: | MI - Prof. Dr. Thorsten Herfet |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Es gibt keine Dateien zu dieser Ressource.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.