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Parameter Estimation of Multi Frequency-Hopping Signals Based on Atomic Norm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to the mismatch problem between the dictionary and signals in existing parameter estimation method of multi frequency-hopping signals, a method is proposed to estimate the time-frequency parameters based on atomic norm. Firstly, we define the infinite atom set with established atomic norm minimization model, and then use its dual problem to estimate the signal. Finally, the signal frequency is estimated based on the absolute value of the dual polynomial on the unit circle meanwhile transition moment of the signal is estimated by calculating number of the frequency components. The simulation results show that the algorithm can obtain higher estimation accuracy and performance than the existing algorithms under the condition of multiple frequency hopping signals.

Original languageEnglish
Title of host publication2018 10th International Conference on Communication Software and Networks, ICCSN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages391-395
Number of pages5
ISBN (Electronic)9781538672235
DOIs
StatePublished - 9 Oct 2018
Externally publishedYes
Event10th International Conference on Communication Software and Networks, ICCSN 2018 - Chengdu, China
Duration: 6 Jul 20189 Jul 2018

Publication series

Name2018 10th International Conference on Communication Software and Networks, ICCSN 2018

Conference

Conference10th International Conference on Communication Software and Networks, ICCSN 2018
Country/TerritoryChina
CityChengdu
Period6/07/189/07/18

Keywords

  • atomic norm
  • compressed sensing
  • frequency hopping
  • parameter estimation

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