### 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 language | English |
---|---|

Pages (from-to) | 57-68 |

Number of pages | 12 |

Journal | Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi) |

Volume | 79 |

Issue number | 11 |

Publication status | Published - 1996 Nov |

### Fingerprint

### Keywords

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

### ASJC Scopus subject areas

- Electrical and Electronic Engineering

### Cite this

*Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)*,

*79*(11), 57-68.

**Adaptive line enhancers with discriminated structures.** / Watanabe, Eiji; Okamura, Yukio; Nishihara, Akinori.

Research output: Contribution to journal › Article

*Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)*, vol. 79, no. 11, pp. 57-68.

}

TY - JOUR

T1 - Adaptive line enhancers with discriminated structures

AU - Watanabe, Eiji

AU - Okamura, Yukio

AU - Nishihara, Akinori

PY - 1996/11

Y1 - 1996/11

N2 - 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.

AB - 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.

KW - Adaptive line enhancer

KW - Adaptive notch filter

KW - Adaptive signal processing

KW - Digital filter

UR - http://www.scopus.com/inward/record.url?scp=0030290637&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030290637&partnerID=8YFLogxK

M3 - Article

VL - 79

SP - 57

EP - 68

JO - Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)

JF - Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)

SN - 1042-0967

IS - 11

ER -