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

被引：0

作者：

Ali, Andreas M. ^{[1
]}

Hudson, Ralph E. ^{[1
]}

Lorenzelli, Flavio ^{[1
]}

Yao, Kung ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Los Angeles, CA 90095 USA

来源：

SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XIX | 2010年 / 7697卷

关键词：

Acoustic sensors; Multisensor systems; Set theory; Array signal processing; Estimation;

D O I：

10.1117/12.850372

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：8