An Improved Central Frequency Estimation Method for Frequency-Hopping Signal

Jining Xie; Shujuan Hou; Qin Zhang

doi:10.1109/ICPICS47731.2019.8942456

An Improved Central Frequency Estimation Method for Frequency-Hopping Signal

Jining Xie
, Shujuan Hou
, Qin Zhang

School of Information and Electronics

Beijing Institute of Technology

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

5 Citations (Scopus)

Abstract

Time-frequency analysis is the major method to estimate the central frequency of frequency hopping signals. There is always a trade-off between computational complexity and estimation precision. An approach based on frequency difference and one-dimensional non-linear filter has been proposed. Firstly, the frequency ridge line is extracted base on the phase difference of the adherent complex points. Then, aided by median filter, the robustness against white Gaussian noise has been enhanced. Simulation shows that, the proposed method is 5 dB better than current method in accuracy and precision when SNR is greater than 13 dB. Computational complexity be- tween different method has been analyzed.

Original language	English
Title of host publication	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	250-253
Number of pages	4
ISBN (Electronic)	9781728137209
DOIs	https://doi.org/10.1109/ICPICS47731.2019.8942456
Publication status	Published - Jul 2019
Event	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 - Shenyang, China Duration: 12 Jul 2019 → 14 Jul 2019

Publication series

Name	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

Conference

Conference	2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019
Country/Territory	China
City	Shenyang
Period	12/07/19 → 14/07/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

central frequency estimation
frequency hopping
median filter

Access to Document

10.1109/ICPICS47731.2019.8942456

Cite this

Xie, J., Hou, S., & Zhang, Q. (2019). An Improved Central Frequency Estimation Method for Frequency-Hopping Signal. In 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 (pp. 250-253). Article 8942456 (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPICS47731.2019.8942456

Xie, Jining ; Hou, Shujuan ; Zhang, Qin. / An Improved Central Frequency Estimation Method for Frequency-Hopping Signal. 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 250-253 (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019).

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title = "An Improved Central Frequency Estimation Method for Frequency-Hopping Signal",

abstract = "Time-frequency analysis is the major method to estimate the central frequency of frequency hopping signals. There is always a trade-off between computational complexity and estimation precision. An approach based on frequency difference and one-dimensional non-linear filter has been proposed. Firstly, the frequency ridge line is extracted base on the phase difference of the adherent complex points. Then, aided by median filter, the robustness against white Gaussian noise has been enhanced. Simulation shows that, the proposed method is 5 dB better than current method in accuracy and precision when SNR is greater than 13 dB. Computational complexity be- tween different method has been analyzed.",

keywords = "central frequency estimation, frequency hopping, median filter",

author = "Jining Xie and Shujuan Hou and Qin Zhang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 ; Conference date: 12-07-2019 Through 14-07-2019",

year = "2019",

month = jul,

doi = "10.1109/ICPICS47731.2019.8942456",

language = "English",

series = "2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019",

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

pages = "250--253",

booktitle = "2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019",

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}

Xie, J, Hou, S & Zhang, Q 2019, An Improved Central Frequency Estimation Method for Frequency-Hopping Signal. in 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019., 8942456, 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 250-253, 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019, Shenyang, China, 12/07/19. https://doi.org/10.1109/ICPICS47731.2019.8942456

An Improved Central Frequency Estimation Method for Frequency-Hopping Signal. / Xie, Jining; Hou, Shujuan ; Zhang, Qin.
2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 250-253 8942456 (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019).

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

TY - GEN

T1 - An Improved Central Frequency Estimation Method for Frequency-Hopping Signal

AU - Xie, Jining

AU - Hou, Shujuan

AU - Zhang, Qin

PY - 2019/7

Y1 - 2019/7

N2 - Time-frequency analysis is the major method to estimate the central frequency of frequency hopping signals. There is always a trade-off between computational complexity and estimation precision. An approach based on frequency difference and one-dimensional non-linear filter has been proposed. Firstly, the frequency ridge line is extracted base on the phase difference of the adherent complex points. Then, aided by median filter, the robustness against white Gaussian noise has been enhanced. Simulation shows that, the proposed method is 5 dB better than current method in accuracy and precision when SNR is greater than 13 dB. Computational complexity be- tween different method has been analyzed.

AB - Time-frequency analysis is the major method to estimate the central frequency of frequency hopping signals. There is always a trade-off between computational complexity and estimation precision. An approach based on frequency difference and one-dimensional non-linear filter has been proposed. Firstly, the frequency ridge line is extracted base on the phase difference of the adherent complex points. Then, aided by median filter, the robustness against white Gaussian noise has been enhanced. Simulation shows that, the proposed method is 5 dB better than current method in accuracy and precision when SNR is greater than 13 dB. Computational complexity be- tween different method has been analyzed.

KW - central frequency estimation

KW - frequency hopping

KW - median filter

UR - https://www.scopus.com/pages/publications/85077958921

U2 - 10.1109/ICPICS47731.2019.8942456

DO - 10.1109/ICPICS47731.2019.8942456

M3 - Conference contribution

AN - SCOPUS:85077958921

T3 - 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

SP - 250

EP - 253

BT - 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

Y2 - 12 July 2019 through 14 July 2019

ER -

Xie J, Hou S , Zhang Q. An Improved Central Frequency Estimation Method for Frequency-Hopping Signal. In 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 250-253. 8942456. (2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019). doi: 10.1109/ICPICS47731.2019.8942456

An Improved Central Frequency Estimation Method for Frequency-Hopping Signal

Abstract

Publication series

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UN SDGs

Keywords

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