Adaptive line enhancers with discriminated structures

Eiji Watanabe, Yukio Okamura, Akinori Nishihara

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The adaptive line enhancer eliminates noise from a sinusoidal signal with the unknown frequency buried in the noise and extracts the sinusoidal signal. The performance of the adaptive line enhancer is represented by the signal-to-noise improvement figure. The signal-to-noise improvement figure increases as the bandwidth of the adaptive line enhancer is made narrower. The conventional adaptive line enhancer, however, contains an incompatible problem in that the convergence of the adaptive coefficient is deteriorated when the signal-to-noise improvement figure is raised by narrowing the bandwidth. This paper proposes the adaptive line enhancer with the discriminated structure to solve this problem. The adaptive line enhancer with the discriminated structure is composed of two parts. One is the (frequency) estimator that estimates the frequency of the unknown sinusoidal signal, and the other is the (sinusoidal signal) discriminator that discriminates the unknown sinusoidal signal from the noise. The estimator is the conventional adaptive line enhancer, and the bandwidth is determined so that the convergence of the adaptive coefficient is the fastest. The discriminator is the narrowband bandpass filter where the center frequency is controlled by the adaptation coefficient. This paper presents the optimal design method for each of those parts, and the effectiveness of the method is verified by a computer simulation.

Original languageEnglish
Pages (from-to)57-68
Number of pages12
JournalElectronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)
Volume79
Issue number11
DOIs
Publication statusPublished - 1996 Nov

Keywords

  • Adaptive line enhancer
  • Adaptive notch filter
  • Adaptive signal processing
  • Digital filter

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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