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Titel: Performance Analysis of OMP-Based Channel Estimations in Mobile OFDM Systems
VerfasserIn: Tan, Guoping
Wu, Bingyang
Herfet, Thorsten
Geith, Uwe
Sprache: Englisch
Titel: IEEE Transactions on Wireless Communications
Bandnummer: 17
Heft: 5
Seiten: 3459-3473
Verlag/Plattform: IEEE
Erscheinungsjahr: 2018
Freie Schlagwörter: Orthogonal frequency division multiplexing (OFDM)
compressed sensing
orthogonal matching pursuit (OMP)
channel estimation
mean square error (MSE)
DDC-Sachgruppe: 004 Informatik
621.3 Elektrotechnik, Elektronik
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: To analyze the performance of orthogonal matching pursuit (OMP)-based compressed channel estimation (CCE) with deterministic pilot patterns, we propose a mathematical framework by defining four normalized mean square errors (NMSEs): the total NMSE (NMSET), the NMSE on dominant channel components (NMSED), the NMSE caused by “lost errors” (NMSEL), and the NMSE caused by “false alarms” (NMSEF). Then, we derive a formula with a closed form for evaluating the upper bound of NMSED in the ideal case (NMSED,UB). Using the proposed analytical framework, the main findings include: 1) the NMSED,UB is determined by the following four parameters: the deterministic pilot pattern, the maximum Doppler shift, the number of dominant multipath components, and the SNR; 2) the NMSED,UB can be viewed as an approximation of practical NMSET in the case that the probability of the successes of OMP exceeds a certain threshold, in which both NMSEL and NMSEF are neglectable; and 3) using linear regression models, the practical bit-error-rate performance also can be predicted well based on the proposed NMSED,UB. We believe that the proposed framework provides a useful tool for adaptively optimizing pilot parameters according to rapidly time-varying channel conditions when using OMP-based CCEs in mobile OFDM systems.
DOI der Erstveröffentlichung: 10.1109/TWC.2018.2813380
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-378602
hdl:20.500.11880/34238
http://dx.doi.org/10.22028/D291-37860
ISSN: 1536-1276
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

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