Direction finding using spatial smoothing with interpolated arrays

The problem of estimating the directions of arrival (DOAs) of signals, some of which may be perfectly correlated, is considered. A computationally efficient estimation algorithm which combines the ideas of spatial smoothing and array interpolation is derived. In one of its forms the proposed algorithm uses the root-MUSIC (root multiple signal classification) technique to compute the DOA estimates, thus avoiding the search procedure associated with the conventional MUSIC algorithm. The proposed technique can be applied to arbitrary array geometries and a general signal covariance matrix. The performance of the algorithm was evaluated by extensive simulations, and compared with the Cramer-Rao lower bound for the DOA estimates. >

[1]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[2]  James E. Evans,et al.  Application of Advanced Signal Processing Techniques to Angle of Arrival Estimation in ATC Navigation and Surveillance Systems , 1982 .

[3]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.

[4]  Thomas Kailath,et al.  On spatial smoothing for direction-of-arrival estimation of coherent signals , 1985, IEEE Trans. Acoust. Speech Signal Process..

[5]  T. P. Bronez Sector interpolation of non-uniform arrays for efficient high resolution bearing estimation , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[6]  S. Unnikrishna Pillai,et al.  Forward/backward spatial smoothing techniques for coherent signal identification , 1989, IEEE Trans. Acoust. Speech Signal Process..

[7]  Bhaskar D. Rao,et al.  Performance analysis of Root-Music , 1989, IEEE Trans. Acoust. Speech Signal Process..

[8]  S. Unnikrishna Pillai,et al.  Performance analysis of MUSIC-type high resolution estimators for direction finding in correlated and coherent scenes , 1989, IEEE Trans. Acoust. Speech Signal Process..

[9]  James A. Cadzow,et al.  General direction-of-arrival estimation: a signal subspace approach , 1989 .

[10]  J.M.F. Moura,et al.  Resolving narrowband coherent paths with non-uniform arrays , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[11]  Anthony J. Weiss,et al.  Performance analysis of spatial smoothing with interpolated arrays , 1993, IEEE Trans. Signal Process..