Adaptive cascaded equalizer for unmanned aerial vehicle data link

Wei Tian; Jian Liu; Shuai Wang

doi:10.1109/ICCSN.2017.8230196

Adaptive cascaded equalizer for unmanned aerial vehicle data link

Wei Tian^*
, Jian Liu
, Shuai Wang

^*Corresponding author for this work

School of Cyberspace Science and Technology

Beijing Institute of Technology
China Aerospace Science and Technology Corporation

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

2 Citations (Scopus)

Abstract

In order to solve the multipath effect and non-ideal channel characteristics for unmanned aerial vehicle data link, this paper introduces the design of adaptive cascaded equalizer and its FPGA implementation. By cascading constant modulus algorithm (CMA) equalizer, digital phase locked loop (PLL) and decision feedback equalizer (DFE), adaptive cascaded equalizer achieves convergence through two manageable and independent stages to optimize equalization. Test results show that compared to traditional equalizers, the adaptive cascaded equalizer can track channel variation rapidly and has high convergence speed, good stability and practicability.

Original language	English
Title of host publication	2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	669-673
Number of pages	5
ISBN (Electronic)	9781509038220
DOIs	https://doi.org/10.1109/ICCSN.2017.8230196
Publication status	Published - 19 Dec 2017
Event	9th IEEE International Conference on Communication Software and Networks, ICCSN 2017 - Guangzhou, China Duration: 6 May 2017 → 8 May 2017

Publication series

Name	2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Volume	2017-January

Conference

Conference	9th IEEE International Conference on Communication Software and Networks, ICCSN 2017
Country/Territory	China
City	Guangzhou
Period	6/05/17 → 8/05/17

Keywords

data link
equalizer
unmanned aerial vehicle

Access to Document

10.1109/ICCSN.2017.8230196

Cite this

Tian, W., Liu, J., & Wang, S. (2017). Adaptive cascaded equalizer for unmanned aerial vehicle data link. In 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017 (pp. 669-673). (2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSN.2017.8230196

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title = "Adaptive cascaded equalizer for unmanned aerial vehicle data link",

abstract = "In order to solve the multipath effect and non-ideal channel characteristics for unmanned aerial vehicle data link, this paper introduces the design of adaptive cascaded equalizer and its FPGA implementation. By cascading constant modulus algorithm (CMA) equalizer, digital phase locked loop (PLL) and decision feedback equalizer (DFE), adaptive cascaded equalizer achieves convergence through two manageable and independent stages to optimize equalization. Test results show that compared to traditional equalizers, the adaptive cascaded equalizer can track channel variation rapidly and has high convergence speed, good stability and practicability.",

keywords = "data link, equalizer, unmanned aerial vehicle",

author = "Wei Tian and Jian Liu and Shuai Wang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017 ; Conference date: 06-05-2017 Through 08-05-2017",

year = "2017",

month = dec,

day = "19",

doi = "10.1109/ICCSN.2017.8230196",

language = "English",

series = "2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017",

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

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Tian, W, Liu, J & Wang, S 2017, Adaptive cascaded equalizer for unmanned aerial vehicle data link. in 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017. 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 669-673, 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017, Guangzhou, China, 6/05/17. https://doi.org/10.1109/ICCSN.2017.8230196

Adaptive cascaded equalizer for unmanned aerial vehicle data link. / Tian, Wei; Liu, Jian; Wang, Shuai.
2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 669-673 (2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017; Vol. 2017-January).

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

TY - GEN

T1 - Adaptive cascaded equalizer for unmanned aerial vehicle data link

AU - Tian, Wei

AU - Liu, Jian

AU - Wang, Shuai

PY - 2017/12/19

Y1 - 2017/12/19

N2 - In order to solve the multipath effect and non-ideal channel characteristics for unmanned aerial vehicle data link, this paper introduces the design of adaptive cascaded equalizer and its FPGA implementation. By cascading constant modulus algorithm (CMA) equalizer, digital phase locked loop (PLL) and decision feedback equalizer (DFE), adaptive cascaded equalizer achieves convergence through two manageable and independent stages to optimize equalization. Test results show that compared to traditional equalizers, the adaptive cascaded equalizer can track channel variation rapidly and has high convergence speed, good stability and practicability.

AB - In order to solve the multipath effect and non-ideal channel characteristics for unmanned aerial vehicle data link, this paper introduces the design of adaptive cascaded equalizer and its FPGA implementation. By cascading constant modulus algorithm (CMA) equalizer, digital phase locked loop (PLL) and decision feedback equalizer (DFE), adaptive cascaded equalizer achieves convergence through two manageable and independent stages to optimize equalization. Test results show that compared to traditional equalizers, the adaptive cascaded equalizer can track channel variation rapidly and has high convergence speed, good stability and practicability.

KW - data link

KW - equalizer

KW - unmanned aerial vehicle

UR - https://www.scopus.com/pages/publications/85049225690

U2 - 10.1109/ICCSN.2017.8230196

DO - 10.1109/ICCSN.2017.8230196

M3 - Conference contribution

AN - SCOPUS:85049225690

T3 - 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017

SP - 669

EP - 673

BT - 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017

Y2 - 6 May 2017 through 8 May 2017

ER -

Tian W, Liu J, Wang S. Adaptive cascaded equalizer for unmanned aerial vehicle data link. In 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 669-673. (2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017). doi: 10.1109/ICCSN.2017.8230196

Adaptive cascaded equalizer for unmanned aerial vehicle data link

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