High-resolution source localization algorithm based on the conjugate gradient
EURASIP Journal on Advances in Signal Processing
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Multiuser CDMA signal extraction
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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We develop a new subspace direction-of-arrival (DOA) estimation procedure that utilizes a noneigenvector basis. Computation of the basis is carried out by a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm. The procedure starts with the linear transformation of the array response scanning vector by the input autocorrelation matrix. Then, successive orthogonal maximum cross-correlation auxiliary vectors are calculated to form a basis for the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15 dB over MUSIC, 7 dB over ESPRIT, and 3 dB over the grid-search maximum likelihood DOA estimator at probability of resolution 0.9 with a ten-element array and reasonably small observation data records. Results for correlated sources are reported as well