New calibration methods are presented for bearing estimation with sens
or location uncertainties, which are based on eigenvalue decomposition
of the sample covariance matrix and three or more nondisjoint sources
in known bearings. The methods can be applied to arbitrary arrays, in
cluding linear arrays, require fewer computations, and are suitable fo
r low signal-to-noise ratio (SNR) cases. Computer simulations are give
n to illustrate the performance of the proposed methods.