Title :
Adaptive nulling and spatial spectral estimation using an iterated principal components decomposition
Author :
Carhoun, Dean O.
Author_Institution :
Mitre Corp., Bedford, MA, USA
Abstract :
An iterative algorithm for computing a reduced-rank principal component least squares estimate of the adaptive weight vector to be used for spatially nulling interference received in the sidelobes of the formed beams of an array of antenna elements is described. Based on a power/deflation method for extraction estimates of the dominant eigenstructure components, the algorithm is used to approximate the subspace spanned by the sample covariance eigenvectors associated with the directions of arrival of spatially coherent interference. Side information that can aid the discrimination between interference and noise subspaces is also produced. Performance is illustrated by the results of processing signals recorded from the individual elements of a linear antenna array operating in the HF band
Keywords :
antenna phased arrays; eigenvalues and eigenfunctions; interference suppression; iterative methods; spectral analysis; HF band; adaptive antenna array; adaptive nulling; adaptive weight vector; covariance eigenvectors; directions of arrival; eigenstructure components; interference nulling; iterated principal components decomposition; iterative algorithm; least squares estimate; linear antenna array; noise subspaces; power/deflation method; side information; sidelobes; signal processing; spatial spectral estimation; spatially coherent interference; Adaptive arrays; Antenna accessories; Antenna arrays; Data mining; Direction of arrival estimation; Interference; Iterative algorithms; Least squares approximation; Linear antenna arrays; Receiving antennas;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150161