Maximum likelihood estimation for array processing in unknown noise environments
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5 (15206149) , 241-244 vol.5
- https://doi.org/10.1109/icassp.1992.226525
Abstract
In array signal processing, the spatially white noise model is most commonly used, and most of the high-resolution methods are established on such a noise model. However, in real environments, the noise model is often either unknown or undeterminable. This may cause the high-resolution methods to suffer severe performance degradation. An approach for consistent and parametric direction of arrival (DOA) estimation in unknown noise environments using two separated arrays is proposed under the assumption that noise correlation is spatially limited. This new method can be also applied in radar or sonar tracking and time series analysis.Keywords
This publication has 9 references indexed in Scilit:
- Direction of arrival estimation in the presence of noise with unknown, arbitrary covariance matricesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Signal subspace algorithms for direction of arrival estimation in the presence of a class of unknown noise fieldsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Optimal array signal processing in unknown noise environments via parametric approachesPublished by SPIE-Intl Soc Optical Eng ,1992
- Sensor array processing based on subspace fittingIEEE Transactions on Signal Processing, 1991
- Extension of ESPRIT method to unknown noise environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Maximum likelihood methods for direction-of-arrival estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Maximum-likelihood narrow-band direction finding and the EM algorithmIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Parametric methods for spatial signal processing in the presence of unknown colored noise fieldsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Eigenstructure methods for direction of arrival estimation in the presence of unknown noise fieldsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986