Maximum likelihood methods for bearings-only target localization

We develop four maximum likelihood (ML) methods to localize a moving target using a network of acoustical sensor arrays. Each array transmits a direction-of-arrival (DOA) estimate to a central processor, which employs one of the localization techniques. The four ML approaches use different target si...

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Bibliographic Details
Main Authors: Kaplan, L.M., Qiang Le, Molnar, N.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic sensors
Direction of arrival estimation
Geometry
Government
Least squares methods
Maximum likelihood estimation
Microphone arrays
Sensor arrays
Signal processing
Target tracking
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Description
Summary:We develop four maximum likelihood (ML) methods to localize a moving target using a network of acoustical sensor arrays. Each array transmits a direction-of-arrival (DOA) estimate to a central processor, which employs one of the localization techniques. The four ML approaches use different target signal models where the time retardation factor for the target position and the degradation of the target signal through the air may or may not be included in the model. We compare these methods along with a linear least squares approach through a number of simulations at various signal to noise levels.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2001.940281