RT Journal Article
T1 Ciphered BCH Codes for PAPR Reduction in the OFDM in Underwater Acoustic Channels
A1 Murad, Mohsin
A1 Tasadduq, Imran A.
A1 Otero-Roth, Pablo
K1 Comunicaciones
AB We propose an effective, low complexity and multifaceted scheme for peak-to-average power ratio (PAPR) reduction in the orthogonal frequency division multiplexing (OFDM) system for underwater acoustic (UWA) channels. In UWA OFDM systems, PAPR reduction is a challenging task due to low bandwidth availability along with computational and power limitations. The proposed scheme takes advantage of XOR ciphering and generates ciphered Bose–Chaudhuri–Hocquenghem (BCH) codes that have low PAPR. This scheme is based upon an algorithm that computes several keys offline, such that when the BCH codes are XOR-ciphered with these keys, it lowers the PAPR of BCH-encoded signals. The subsequent low PAPR modified BCH codes produced using the chosen keys are used in transmission. This technique is ideal for UWA systems as it does not require additional computational power at the transceiver during live transmission. The advantage of the proposed scheme is threefold. First, it reduces the PAPR; second, since it uses BCH codes, the bit error rate (BER) of the system improves; and third, a level of encryption is introduced via XOR ciphering, enabling secure communication. Simulations were performed in a realistic UWA channel, and the results demonstrated that the proposed scheme could indeed achieve all three objectives with minimum computational power
PB IOAP-MDPI
YR 2022
FD 2022-01-10
LK https://hdl.handle.net/10630/26355
UL https://hdl.handle.net/10630/26355
LA eng
NO Murad M, Tasadduq IA, Otero P. Ciphered BCH Codes for PAPR Reduction in the OFDM in Underwater Acoustic Channels. Journal of Marine Science and Engineering. 2022; 10(1):91. https://doi.org/10.3390/jmse10010091
NO This research was funded by a grant from the Spanish Ministry of Science and Innovation in the framework of the project “NAUTILUS: Swarms of underwater autonomous vehicles guided by artificial intelligence: its time has come” (PID2020-112502RB / AEI / 10.13039/501100011033). Partial funding for open access charge: Universidad de Málaga
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026