Title

Experimental Evaluation of Turbo Receivers in Single-Input Single-Output Underwater Acoustic Channels

Abstract

This paper presents some experimental results on both the channel estimation based minimum mean square error Turbo equalizer (CE MMSE-TEQ) and the direct-adaptation turbo equalizer (DA-TEQ) in single-input single-output (SISO) underwater acoustic (UWA) channels. For CE MMSE-TEQ, we compare the soft-decision feedback Turbo equalizer (SDFE), the bidirectional soft-decision feedback Turbo equalizer (Bi-SDFE) and the classic linear Minimum Mean Square Error (MMSE) Turbo equalizer in terms of bit error rate (BER) performance. For DA-TEQ, the recently proposed soft-decision direct-adaptation TEQ (Soft DA-TEQ) is evaluated with the same set of experimental data. Both QPSK and multilevel modulations (8PSK and 16QAM) have been tested with the symbol rate of 9.77 ksymbols/s. Experimental results show that the CE-TEQs are more robust in SISO underwater acoustic transmission under harsh channel conditions. Especially, with low pilot overheads, the recently proposed Bi-SDFE achieved low BER performance in all cases.

Meeting Name

OCEANS '16 MTS/IEEE Shanghai (2016, Apr. 10-13, Shanghai, China)

Department(s)

Electrical and Computer Engineering

Sponsor(s)

National Science Foundation (U.S.)

Comments

This work is supported in part by the National Science Foundation grant ECCS1408316 of the United States.

Keywords and Phrases

Adaptive systems; Bit error rate; Channel estimation; Equalizers; Error statistics; Errors; Fading channels; Mean square error; Signal receivers; Telecommunication repeaters; Bit error rate (BER) performance; Experimental evaluation; Linear minimum mean square errors; Minimum mean square errors; Single input single output; Turbo equalizations; Underwater acoustic channels; Underwater acoustic communications; Underwater acoustics; Single-Input Single-Output; Turbo equalization

International Standard Book Number (ISBN)

978-1-4673-9725-4

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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