Direction finding using interpolated arrays in unknown noise fields

Abstract In this paper, an extended UN-ESPRIT (Wu and Reilly, 1991) method is proposed to estimate the direction of arrival (DOA) in unknown noise fields. Compared with the UN-ESPRIT approach, the new method can be used to perform high resolution DOA estimation with simpler structure of arrays and less sensors by using virtual interpolated arrays. On the assumption that the noise correlation is spatially limited, the effects of unknown noise are eliminated through canonical correlation analysis of the data received from two spatially separated real arrays, and DOA estimation is carried out from the outputs of two interpolated arrays, which are translationally equivalent and have arbitrary array geometries.

[1]  W. Burdic Underwater Acoustic System Analysis , 1984 .

[2]  Anthony J. Weiss,et al.  Direction finding using ESPRIT with interpolated arrays , 1991, IEEE Trans. Signal Process..

[3]  Benjamin Friedlander,et al.  The root-MUSIC algorithm for direction finding with interpolated arrays , 1993, Signal Process..

[4]  James P. Reilly,et al.  Maximum likelihood estimation for array processing in unknown noise environments , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  Anthony J. Weiss,et al.  Performance analysis of the VIA-ESPRIT algorithm , 1993 .

[6]  James P. Reilly,et al.  Extension of ESPRIT method to unknown noise environments , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.