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Hybrid PAPR Reduction Algorithm Using Low Complexity Dispersive Selective Mapping with Clipping and Filtering for FBMC/OQAM

Release Time:2020-09-06  Hits:

Indexed by: Conference Paper

Date of Publication: 2019-01-01

Included Journals: CPCI-S

Page Number: 532-537

Key Words: FBMC/OQAM; PAPR; Selective mapping; Clipping and filtering

Abstract: This paper provides a low complexity dispersive selective mapping (LDSLM) algorithm to the problem of high peak-to-average power ratio (PAPR) problem in filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) system. The proposed algorithm considers the overlapping characteristics of signals, and employs the average power distribution of the signals to shorten search range and reduces the system complexity. Compared with the existing clipping and filtering (CAF) algorithm, the LDSLM algorithm ensures the non-distortion property, while the PAPR is not be significantly reduced. Furthermore, considering the advantages of LDSLM and CAF algorithms, a hybrid algorithm combining CAF and LDSLM is proposed to effectively improve the PAPR performance of the system without affecting the bit error rate (BER).

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