
Image Transmission with Joint Time Reversal and OFDM in Underwater Acoustic Environment
Author(s) -
Yuning Widiarti,
Wirawan Wirawan,
Suwadi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1179/1/012154
Subject(s) - orthogonal frequency division multiplexing , multipath propagation , computer science , fading , underwater acoustic communication , channel (broadcasting) , electronic engineering , modulation (music) , distortion (music) , intersymbol interference , phase shift keying , bit error rate , transmission (telecommunications) , underwater , telecommunications , engineering , bandwidth (computing) , acoustics , physics , geography , amplifier , archaeology
The development of technology and applications in the underwater acoustic field are a challenge for researchers. The OFDM system is an interesting research topic to date because of its high-rate and high-quality wireless capabilities. In a multipath environment, OFDM can reduce the effect of multipath fading by converting frequency selective channel to a flat subchannels parallel collection of frequency. Time reversal with its spatial and temporal focal properties is a technique that can be relied upon in reducing channel fading and intersymbol interference which causes distortion in the received signal. In this paper, we present a study of transmitting images in underwater acoustic environments using a combined time reversal and OFDM (TR-OFDM) technique. The estimation technique based on the MMSE algorithm is used in the image restoration process. The simulation results show that transmitting image with the TR-OFDM system has superior performance compared to traditional OFDM system. With BPSK modulation and MMSE estimation technique, the BER obtained by TR-OFDM is 10 −3 at SNR 8.2 dB. Modulation schemes such as M-PSK and M-QAM are also presented in this paper. BPSK modulation is proven to have the best performance on SNR 20 dB with zero resulting error.