Frequency offset estimation for index modulation-based cognitive underwater acoustic communications

Junfeng Wang; Yue Cui; Lanjun Liu; Shexiang Ma; Gaofeng Pan

doi:10.1109/ICSPCC.2017.8242614

Frequency offset estimation for index modulation-based cognitive underwater acoustic communications

Junfeng Wang
, Yue Cui
, Lanjun Liu
, Shexiang Ma
, Gaofeng Pan

Tianjin University of Technology
Tianjin Normal University
Ocean University of China
Southwest University
Lancaster University

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

10 Citations (Scopus)

Abstract

As a manner of communications with the high spectral and energy efficiency, cognitive underwater acoustic communications based on index modulation (CUAC-IM) have been investigating by us in more recent years. Like other communication system, estimation algorithm on frequency offset (FO) caused by the relative motion of mobile station is crucial to CUAC-IM system. In this paper, system model, especially for applications of index modulation in cognitive underwater acoustic communications, will be presented firstly. Then, an estimation method on the FO over the above model will be proposed, which employs the high order statistics. Finally, computer simulation will be performed to verify the aforementioned solution of the FO. Simulation results demonstrate that the suggested algorithm is accurate and efficient.

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	1-5
Number of pages	5
ISBN (Electronic)	9781538631409
DOIs	https://doi.org/10.1109/ICSPCC.2017.8242614
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Cognitive underwater acoustic communications
Rician fading
frequency offset estimation
high order statistic
index modulation

Access to Document

10.1109/ICSPCC.2017.8242614

Cite this

Wang, J., Cui, Y., Liu, L., Ma, S., & Pan, G. (2017). Frequency offset estimation for index modulation-based cognitive underwater acoustic communications. In 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017 (pp. 1-5). Article 8242614 (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.2017.8242614

Wang, Junfeng ; Cui, Yue ; Liu, Lanjun et al. / Frequency offset estimation for index modulation-based cognitive underwater acoustic communications. 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-5 (2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017).

@inproceedings{a720ea1dddb544ae8be338fcdb2fa738,

title = "Frequency offset estimation for index modulation-based cognitive underwater acoustic communications",

abstract = "As a manner of communications with the high spectral and energy efficiency, cognitive underwater acoustic communications based on index modulation (CUAC-IM) have been investigating by us in more recent years. Like other communication system, estimation algorithm on frequency offset (FO) caused by the relative motion of mobile station is crucial to CUAC-IM system. In this paper, system model, especially for applications of index modulation in cognitive underwater acoustic communications, will be presented firstly. Then, an estimation method on the FO over the above model will be proposed, which employs the high order statistics. Finally, computer simulation will be performed to verify the aforementioned solution of the FO. Simulation results demonstrate that the suggested algorithm is accurate and efficient.",

keywords = "Cognitive underwater acoustic communications, Rician fading, frequency offset estimation, high order statistic, index modulation",

author = "Junfeng Wang and Yue Cui and Lanjun Liu and Shexiang Ma and Gaofeng Pan",

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,

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doi = "10.1109/ICSPCC.2017.8242614",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--5",

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

address = "United States",

}

Wang, J, Cui, Y, Liu, L, Ma, S & Pan, G 2017, Frequency offset estimation for index modulation-based cognitive underwater acoustic communications. in 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017., 8242614, 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017, Xiamen, Fujian, China, 22/10/17. https://doi.org/10.1109/ICSPCC.2017.8242614

Frequency offset estimation for index modulation-based cognitive underwater acoustic communications. / Wang, Junfeng; Cui, Yue; Liu, Lanjun et al.
2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 8242614 (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 - Frequency offset estimation for index modulation-based cognitive underwater acoustic communications

AU - Wang, Junfeng

AU - Cui, Yue

AU - Liu, Lanjun

AU - Ma, Shexiang

AU - Pan, Gaofeng

PY - 2017/12/29

Y1 - 2017/12/29

N2 - As a manner of communications with the high spectral and energy efficiency, cognitive underwater acoustic communications based on index modulation (CUAC-IM) have been investigating by us in more recent years. Like other communication system, estimation algorithm on frequency offset (FO) caused by the relative motion of mobile station is crucial to CUAC-IM system. In this paper, system model, especially for applications of index modulation in cognitive underwater acoustic communications, will be presented firstly. Then, an estimation method on the FO over the above model will be proposed, which employs the high order statistics. Finally, computer simulation will be performed to verify the aforementioned solution of the FO. Simulation results demonstrate that the suggested algorithm is accurate and efficient.

AB - As a manner of communications with the high spectral and energy efficiency, cognitive underwater acoustic communications based on index modulation (CUAC-IM) have been investigating by us in more recent years. Like other communication system, estimation algorithm on frequency offset (FO) caused by the relative motion of mobile station is crucial to CUAC-IM system. In this paper, system model, especially for applications of index modulation in cognitive underwater acoustic communications, will be presented firstly. Then, an estimation method on the FO over the above model will be proposed, which employs the high order statistics. Finally, computer simulation will be performed to verify the aforementioned solution of the FO. Simulation results demonstrate that the suggested algorithm is accurate and efficient.

KW - Cognitive underwater acoustic communications

KW - Rician fading

KW - frequency offset estimation

KW - high order statistic

KW - index modulation

UR - https://www.scopus.com/pages/publications/85049202842

U2 - 10.1109/ICSPCC.2017.8242614

DO - 10.1109/ICSPCC.2017.8242614

M3 - Conference contribution

AN - SCOPUS:85049202842

T3 - 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017

SP - 1

EP - 5

BT - 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017

Y2 - 22 October 2017 through 25 October 2017

ER -

Wang J, Cui Y, Liu L, Ma S, Pan G. Frequency offset estimation for index modulation-based cognitive underwater acoustic communications. In 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-5. 8242614. (2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017). doi: 10.1109/ICSPCC.2017.8242614

Frequency offset estimation for index modulation-based cognitive underwater acoustic communications

Abstract

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UN SDGs

Keywords

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