The authors propose a computationally efficient scheme for estimating the spatial (location) and spectral parameters of multiple-source signals using passive array data. The source signals are modeled as possibly correlated narrowband/wideband Gaussian random processes. The authors also allow sensor-to-sensor noise correlation. The proposed algorithm is optimal in the sense that it converges monotonically to the maximum-likelihood (ML) estimates (or, at least, to a stationary point of the likelihood function) of the unknown spatial and spectral parameters.
|Number of pages||4|
|Journal||Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing|
|State||Published - 1989|
|Event||1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland|
Duration: 23 May 1989 → 26 May 1989