Title :
Adaptive structures for multiple-input noise cancelling applications
Author :
Griffiths, Lloyd J.
Author_Institution :
University of Colorado, Boulder, Colorado
Abstract :
This paper is concerned with problems in which the interference present in a primary signal is reduced using a sum of M linearly-filtered reference signals. These latter signals contain interference components which are correlated with that present in the primary. Examples occur in antenna array processing and in multiple-axis seismometer recordings of geophysical data. In the structures of interest, the linear filters are adaptive and employ a lattice configuration. Previous work in this area has been restricted to the case of a single reference signal. The multiple-reference case is shown to have unique characteristics which do not appear in the single-dimensional case. Examples illustrating this difference are presented.
Keywords :
Adaptive filters; Array signal processing; Convergence; Filtering; Interference; Lattices; Noise cancellation; Nonlinear filters; Signal to noise ratio; Symmetric matrices;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
DOI :
10.1109/ICASSP.1979.1170645