Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications

Xin Lu; Shefeng Yan; Lijun Xu

doi:10.1109/ICSPCC.2017.8242545

Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications

Xin Lu, Shefeng Yan, Lijun Xu

CAS - Institute of Acoustics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

A direct spread spectrum (DSS) communication system is presented, which uses optimized spread spectrum sequence (SSS) and adaptive soft-iteration (Turbo) equalization (ASIE). The scheme using multiple receiver is similar to MIMO systems. The average cross-correlation of SSS is regarded as a critical factor to search optimized sequences used in under water acoustic (UWA) multi-access burst communication. The comparison of performance between optimized sequence and Gold sequence is presented. More importantly, a low-complexity Turbo equalization is used to eliminate severe inter-symbol interference (ISI) and multi-access interference (MAI). By combing with DSS system, the enhanced system is able to realize communications with higher transmitting speed in highly dispersive channels. The presented equalization utilizes least mean square (LMS) algorithm to decrease the computational complexity and isolates embedded phase-locked loop (PLL) to track the changing phase caused by Doppler. The performance of enhanced Turbo equalization has been verified through both simulation and experimental data.

Original language	English
Title of host publication	2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538631409
DOIs	https://doi.org/10.1109/ICSPCC.2017.8242545
Publication status	Published - 29 Dec 2017
Externally published	Yes
Event	7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017 - Xiamen, Fujian, China Duration: 22 Oct 2017 → 25 Oct 2017

Publication series

Name	2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
Volume	2017-January

Conference

Conference	7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
Country/Territory	China
City	Xiamen, Fujian
Period	22/10/17 → 25/10/17

Keywords

MIMO
Turbo equalization
direct spread spectrum
underwater acoustic communication

Access to Document

10.1109/ICSPCC.2017.8242545

Cite this

Lu, X., Yan, S., & Xu, L. (2017). Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications. In 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017 (pp. 1-6). (2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCC.2017.8242545

Lu, Xin ; Yan, Shefeng ; Xu, Lijun. / Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications. 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-6 (2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017).

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title = "Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications",

abstract = "A direct spread spectrum (DSS) communication system is presented, which uses optimized spread spectrum sequence (SSS) and adaptive soft-iteration (Turbo) equalization (ASIE). The scheme using multiple receiver is similar to MIMO systems. The average cross-correlation of SSS is regarded as a critical factor to search optimized sequences used in under water acoustic (UWA) multi-access burst communication. The comparison of performance between optimized sequence and Gold sequence is presented. More importantly, a low-complexity Turbo equalization is used to eliminate severe inter-symbol interference (ISI) and multi-access interference (MAI). By combing with DSS system, the enhanced system is able to realize communications with higher transmitting speed in highly dispersive channels. The presented equalization utilizes least mean square (LMS) algorithm to decrease the computational complexity and isolates embedded phase-locked loop (PLL) to track the changing phase caused by Doppler. The performance of enhanced Turbo equalization has been verified through both simulation and experimental data.",

keywords = "MIMO, Turbo equalization, direct spread spectrum, underwater acoustic communication",

author = "Xin Lu and Shefeng Yan and Lijun Xu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017 ; Conference date: 22-10-2017 Through 25-10-2017",

year = "2017",

month = dec,

day = "29",

doi = "10.1109/ICSPCC.2017.8242545",

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series = "2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017",

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Lu, X, Yan, S & Xu, L 2017, Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications. in 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017. 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017, Xiamen, Fujian, China, 22/10/17. https://doi.org/10.1109/ICSPCC.2017.8242545

Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications. / Lu, Xin; Yan, Shefeng ; Xu, Lijun.
2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications

AU - Lu, Xin

AU - Yan, Shefeng

AU - Xu, Lijun

PY - 2017/12/29

Y1 - 2017/12/29

N2 - A direct spread spectrum (DSS) communication system is presented, which uses optimized spread spectrum sequence (SSS) and adaptive soft-iteration (Turbo) equalization (ASIE). The scheme using multiple receiver is similar to MIMO systems. The average cross-correlation of SSS is regarded as a critical factor to search optimized sequences used in under water acoustic (UWA) multi-access burst communication. The comparison of performance between optimized sequence and Gold sequence is presented. More importantly, a low-complexity Turbo equalization is used to eliminate severe inter-symbol interference (ISI) and multi-access interference (MAI). By combing with DSS system, the enhanced system is able to realize communications with higher transmitting speed in highly dispersive channels. The presented equalization utilizes least mean square (LMS) algorithm to decrease the computational complexity and isolates embedded phase-locked loop (PLL) to track the changing phase caused by Doppler. The performance of enhanced Turbo equalization has been verified through both simulation and experimental data.

AB - A direct spread spectrum (DSS) communication system is presented, which uses optimized spread spectrum sequence (SSS) and adaptive soft-iteration (Turbo) equalization (ASIE). The scheme using multiple receiver is similar to MIMO systems. The average cross-correlation of SSS is regarded as a critical factor to search optimized sequences used in under water acoustic (UWA) multi-access burst communication. The comparison of performance between optimized sequence and Gold sequence is presented. More importantly, a low-complexity Turbo equalization is used to eliminate severe inter-symbol interference (ISI) and multi-access interference (MAI). By combing with DSS system, the enhanced system is able to realize communications with higher transmitting speed in highly dispersive channels. The presented equalization utilizes least mean square (LMS) algorithm to decrease the computational complexity and isolates embedded phase-locked loop (PLL) to track the changing phase caused by Doppler. The performance of enhanced Turbo equalization has been verified through both simulation and experimental data.

KW - MIMO

KW - Turbo equalization

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ER -

Lu X, Yan S , Xu L. Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications. In 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6. (2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017). doi: 10.1109/ICSPCC.2017.8242545

Adaptive soft-iteration equalization for multi-access underwater acoustic spread spectrum communications

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