2019
DOI: 10.1109/joe.2018.2855298
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Very-High-Frequency Single-Input–Multiple-Output Acoustic Communication in Shallow Water

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Cited by 8 publications
(4 citation statements)
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“…In the last twenty years, a vast literature has focused on underwater acoustic sensor networks and communication systems, but lately more and more solutions have focused on the adaptivity of the communication system and networking protocols based on the changing environment [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…In the last twenty years, a vast literature has focused on underwater acoustic sensor networks and communication systems, but lately more and more solutions have focused on the adaptivity of the communication system and networking protocols based on the changing environment [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Turbo equalization is derived from turbo decoder by employing a maximum a posteriori (MAP) equalizer as replacement of one standalone MAP docoder in the typical decoder processing [6,7]. In order to realize computational complexity in large time-delay channel, soft-input-soft-output (SISO) equalizer is introduced into the iteration structure based on minimum mean squared error (MMSE) criterion [8][9][10], least symbol error rate (LSER) criterion [11,12] and so on. The chief drawback of traditional DFEs is error propagation of the feedback filter (FBF) when extensive inaccurate hard-decision symbols occurred.…”
Section: Introductionmentioning
confidence: 99%
“…Turbo equalization is derived from turbo decoders by employing a maximum a posteriori (MAP) equalizer as a replacement of one stand-alone MAP decoder in typical decoder processing [13,14]. In order to realize computational complexity in large time-delay channels, a soft-input soft-output (SISO) equalizer is introduced into the iteration structure based on the minimum mean squared error (MMSE) criterion [15][16][17], least symbol error rate (LSER) criterion [18,19] and so on. In some scenarios of high SNR, the adaptive equalizers based on the LSER criterion achieve better BER performance than the MMSE.…”
Section: Introductionmentioning
confidence: 99%