Title :
Min-norm linear prediction for arbitrary sensor arrays
Author :
Li, Fu ; Vaccaro, Richard J. ; Tufts, Donald W.
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
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
Keywords :
filtering and prediction theory; parameter estimation; perturbation techniques; signal detection; signal processing; arbitrary sensor arrays; array processing; circular array; direction of arrival estimation; linear prediction; min-norm algorithm; perturbation analysis; variance; Analysis of variance; Direction of arrival estimation; Geometry; Multiple signal classification; Performance analysis; Polynomials; Radar signal processing; Sensor arrays; Signal processing algorithms; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.267003
