Multisource passive acoustic tracking: an application of random finite set data fusion

Andreas M. Ali; Ralph E. Hudson; Flavio Lorenzelli; Kung Yao

doi:10.1117/12.850372

27 April 2010 Multisource passive acoustic tracking: an application of random finite set data fusion

Andreas M. Ali, Ralph E. Hudson, Flavio Lorenzelli, Kung Yao

Proceedings Volume 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX; 76970J (2010) https://doi.org/10.1117/12.850372
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Multisource passive acoustic tracking is useful in animal bio-behavioral study by replacing or enhancing human involvement during and after field data collection. Multiple simultaneous vocalizations are a common occurrence in a forest or a jungle, where many species are encountered. Given a set of nodes that are capable of producing multiple direction-of-arrivals (DOAs), such data needs to be combined into meaningful estimates. Random Finite Set provides the mathematical probabilistic model, which is suitable for analysis and optimal estimation algorithm synthesis. Then the proposed algorithm has been verified using a simulation and a controlled test experiment.

Citation Download Citation

Andreas M. Ali, Ralph E. Hudson, Flavio Lorenzelli, and Kung Yao "Multisource passive acoustic tracking: an application of random finite set data fusion", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970J (27 April 2010); https://doi.org/10.1117/12.850372

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