Back to Search Start Over

Adaptive Line Enhancers with Discriminated Structures.

Authors :
Watanabe, Eiji
Okamura, Yukio
Nishihara, Akinori
Source :
Electronics & Communications in Japan, Part 3: Fundamental Electronic Science. Nov96, Vol. 79 Issue 11, p57-68. 12p.
Publication Year :
1996

Abstract

The adaptive line embracer 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 embracer is represented by the signal-to-noise improvement figure. The signal-to-noise improvement figure increases as the bandwidth of the adaptive line figure increases is made narrower. The convention 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 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 the optimal design method for each of those paths, and the effectiveness of the method us verified by a computer simulation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10420967
Volume :
79
Issue :
11
Database :
Academic Search Index
Journal :
Electronics & Communications in Japan, Part 3: Fundamental Electronic Science
Publication Type :
Academic Journal
Accession number :
13745120
Full Text :
https://doi.org/10.1002/ecjc.4430791106