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doi:10.22028/D291-37860
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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