Asynchronous Periodic Interference Signals Cancellation in Frequency Domain

Research output: Contribution to journalArticlepeer-review


This paper proposes a novel interference cancellation technique that prevents radio receivers from degrading due to periodic interference signals caused by electromagnetic waves emitted from high power circuits. The proposed technique cancels periodic interference signals in the frequency domain, even if the periodic interference signals drift in the time domain. We propose a drift estimation based on a super resolution technique such as ESPRIT. Moreover, we propose a sequential drift estimation to enhance the drift estimation performance. The proposed technique employs a linear filter based on the minimum mean square error criterion with assistance of the estimated drifts for the interference cancellation. The performance of the proposed technique is confirmed by computer simulation. The proposed technique achieves a gain of more than 40 dB at the higher frequency part in the band. The proposed canceler achieves such superior performance, if the parameter sets are carefully selected. The proposed sequential drift estimation relaxes the parameter constraints, and enables the proposed cancellation to achieve the performance upper bound.

Original languageEnglish
Pages (from-to)1087-1096
Number of pages10
JournalIEICE Transactions on Communications
Issue number9
Publication statusPublished - Sep 2022


  • asynchronous interference signals
  • frequency domain
  • minimum mean square error (MMSE) estimation
  • periodic interference
  • super resolution estimation

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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