Novel maximum likelihood approach for passive detection and localisation of multiple emitters

Novel maximum likelihood approach for passive detection and localisation of multiple emitters

Abstract In this paper, a novel target acquisition and localisation algorithm (TALA) is introduced that offers a capability for detecting and localising multiple targets using the intermittent “signals-of-opportunity” (e.g. acoustic impulses or radio frequency transmissions) they generate. The TALA...

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Bibliographic Details
Main Author: Marcel Hernandez
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Passive detection and localisation
Multi-sensor/multi-target data association
Maximum likelihood estimation
Gauss-Newton gradient descent
Cramér-Rao lower bound
Time-of-arrival measurements
Online Access:http://link.springer.com/article/10.1186/s13634-017-0473-0

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http://link.springer.com/article/10.1186/s13634-017-0473-0

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