Academic Journal

Filter Optimization for MFTN-OQAM Systems

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Filter Optimization for MFTN-OQAM Systems
Συγγραφείς: Nghia H. Nguyen, Ha H. Nguyen, Brian Berscheid
Πηγή: IEEE Access, Vol 10, Pp 89358-89366 (2022)
Στοιχεία εκδότη: IEEE, 2022.
Έτος έκδοσης: 2022
Συλλογή: LCC:Electrical engineering. Electronics. Nuclear engineering
Θεματικοί όροι: Faster-than-Nyquist signaling, FBMC, multicarrier faster-than-Nyquist (MFTN), OFDM, offset QAM (OQAM), Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Περιγραφή: In this paper, a novel and effective method for designing the pulse shaping filter for multicarrier faster-than-Nyquist with offset quadrature amplitude modulation (MFTN-OQAM) systems is proposed. The connection between the signal-to-interference ratio (SIR) and the filter coefficients is first established. Then, for a desired overall compression level taking into account compressions in both frequency and time domains, a simple convergence search is suggested to jointly find the optimal values of time and frequency compression factors as well as the filter coefficients to maximize the SIR under a spectrum localization constraint. The obtained results show that higher SIRs, and consequently better bit error rates, can be achieved by the proposed filters over the Martin filter that is commonly used in the filter-bank multicarrier OQAM (FBMC-OQAM) systems (i.e., without time or frequency compression). Moreover, when applying our method to FBMC-OQAM systems, the obtained results show that the original Martin filter is suboptimal as shorter filters are found having the same SIR, which translates to lower implementation cost and latency.
Τύπος εγγράφου: article
Περιγραφή αρχείου: electronic resource
Γλώσσα: English
ISSN: 2169-3536
Relation: https://ieeexplore.ieee.org/document/9861646/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2022.3199696
Σύνδεσμος πρόσβασης: https://doaj.org/article/3470286d199a499080647f9f460af3a8
Αριθμός Καταχώρησης: edsdoj.3470286d199a499080647f9f460af3a8
Βάση Δεδομένων: Directory of Open Access Journals
Περιγραφή
ISSN:21693536
DOI:10.1109/ACCESS.2022.3199696