Min-norm linear prediction for arbitrary sensor arrays

Authors

Fu Li, University of Rhode Island
Richard J. Vaccaro, University of Rhode Island
Donald W. Tufts, University of Rhode Island

Document Type

Conference Proceeding

Date of Original Version

12-1-1989

Abstract

The authors present a min-norm algorithm for estimating the directions of arrival of signals impinging on a sensor array of arbitrary geometry. The algorithm is an extension of the min-norm algorithm derived by R. Kumaresan and D. W. Tufts (1983) for the case of a uniform line array. A perturbation analysis for this arbitrary array min-norm method is also presented, and analytical formulas that predict the variance of the estimated directions are given. Simulations with a circular array demonstrate the algorithm as well as verify the performance analysis.

Publication Title, e.g., Journal

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volume

4

Citation/Publisher Attribution

Li, Fu, Richard J. Vaccaro, and Donald W. Tufts. "Min-norm linear prediction for arbitrary sensor arrays." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 4, (1989): 2613-2616. https://digitalcommons.uri.edu/ele_facpubs/1189