Title :
A low-complexity implementation of adaptive Wiener filters
Author :
Goldstein, J.Scott ; Reed, Irving S. ; Schar, Louis L. ; Tague, John A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Wiener filters of arbitrary order can be implemented by a nested structure of one-dimensional filters. The multistage processor is simple to implement, and covariance matrix estimation and inversion are not required to calculate the filter weights. The nested structure provides a new framework for designing and implementing reduced complexity filters. When applied to a typical array processing problem, it provides close to optimum performance, even when its degrees of freedom are less than the rank of the interference subspace.
Keywords :
Wiener filters; adaptive filters; array signal processing; band-pass filters; computational complexity; digital filters; direction-of-arrival estimation; filtering theory; interference (signal); adaptive Wiener filters; array processing; degrees of freedom; filter weights; filterbanks; interference subspace rank; low-complexity implementation; multistage processor; nested structure; one-dimensional filters; optimum performance; reduced complexity filters; Array signal processing; Covariance matrix; Eigenvalues and eigenfunctions; Equations; Interference; Matrix decomposition; Radar; Sensor arrays; Sonar; Wiener filter;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680548
