Super-resolution direction finding with an auxiliary-vector basis

Rohan Grover; Dimitris A. Pados; Michael J. Medley

doi:10.1117/12.606402

2 June 2005 Super-resolution direction finding with an auxiliary-vector basis

Rohan Grover, Dimitris A. Pados, Michael J. Medley

Proceedings Volume 5819, Digital Wireless Communications VII and Space Communication Technologies; (2005) https://doi.org/10.1117/12.606402
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Rohan Grover, Dimitris A. Pados, and Michael J. Medley "Super-resolution direction finding with an auxiliary-vector basis", Proc. SPIE 5819, Digital Wireless Communications VII and Space Communication Technologies, (2 June 2005); https://doi.org/10.1117/12.606402

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