Super-resolution direction finding with an auxiliary-vector basis
Rohan Grover, Dimitris A. Pados, Michael J. Medley · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
We develop a new direction-of-arrival (DOA) estimation procedure that utilizes 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 of the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15dB over MUSIC, 7dB over ESPRIT, and 3dB 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. A reduced complexity version of the proposed DOA estimation algorithm is also suggested. Results for correlated sources are reported as well.