2019
DOI: 10.3390/sym11030362
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Low-Complexity Progressive MIMO-OFDM Receiver for Underwater Acoustic Communication

Abstract: Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) proves to be a better choice for high speed underwater acoustic (UWA) communication as it increases the data rate and solves the bandwidth limitation issue; however, at the same time, it increases the design challenges and complexity of the receivers. Inter-Symbol Interference (ISI) and Inter-Carrier Interference (ICI) are introduced in the received signal by the extended multipath and Doppler shifts along with different type… Show more

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Cited by 6 publications
(3 citation statements)
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“…The underwater channel degrades the signal adversely due to multipath arrivals, the Doppler shift, absorption, and attenuation losses [39]. To overcome these effects, the channel is estimated and the errors are minimized through channel equalization.…”
Section: Channel Estimation and Equalizationmentioning
confidence: 99%
“…The underwater channel degrades the signal adversely due to multipath arrivals, the Doppler shift, absorption, and attenuation losses [39]. To overcome these effects, the channel is estimated and the errors are minimized through channel equalization.…”
Section: Channel Estimation and Equalizationmentioning
confidence: 99%
“…Whereas in non-adaptive synchronization, null subcarriers are needed for achieving robustness to make the variations in channel rapidly [5]. By integrating it with estimation of a channel in the time domain or impulse response, the approach [6] is extended in this study. Performing the channel sparsing is the possibility for this motivation.…”
Section: Introductionmentioning
confidence: 99%
“…The BERs and data symbol error (DSE) rates of the proposed system are explored. Qiao et al [16] proposed a 2 × 2 MIMO OFDM-based high speed underwater acoustic transmission system, with low density parity check (LDPC) channel coding, orthogonal matching pursuit (OMP) channel estimation, and minimum mean-squared error (MMSE) equalization methods integrated into the underwater acoustic transceiver. The BERs of the transceiver were studied.…”
Section: Introductionmentioning
confidence: 99%