Zobrazeno 1 - 10
of 18
pro vyhledávání: '"David W. Krout"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 11, Iss 12, Pp 1776-1781 (2017)
The authors develop a framework to select a subset of sensors from a field in which the sensors have an ingrained independence structure. Given an arbitrary independence pattern, the authors construct a graph that denotes pairwise independence betwee
Externí odkaz:
https://doaj.org/article/25939da913a9416981881acaee0ceaa7
Publikováno v:
IET Radar, Sonar & Navigation. 11:1776-1781
The authors develop a framework to select a subset of sensors from a field in which the sensors have an ingrained independence structure. Given an arbitrary independence pattern, the authors construct a graph that denotes pairwise independence betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa269ee16f060d388264610030a2680c
https://doi.org/10.1049/iet-rsn.2017.0075
https://doi.org/10.1049/iet-rsn.2017.0075
Autor:
David W. Krout
Publikováno v:
FUSION
Recent developments in Deep Learning have revitalized previous work in emulating acoustic propagation using Neural Networks. This paper will present results incorporating a Neural Network (NN) acoustic emulator into a PDAFAI tracking algorithm. The N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aff7e65b7fd91f9f5b74c2d8b4783cfe
https://doi.org/10.23919/icif.2018.8455799
https://doi.org/10.23919/icif.2018.8455799
Autor:
David W. Krout, Thomas Powers
Publikováno v:
FUSION
High-fidelity acoustic models are crucial to the performance of sonar systems since they identify where there is signal excess in the surrounding environment. Sonar operators use these models to optimize sonar parameters in applications like target d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76c8b1560335a171e1117343c29d80a5
https://doi.org/10.23919/icif.2018.8455375
https://doi.org/10.23919/icif.2018.8455375
Publikováno v:
IEEE Journal of Oceanic Engineering. 34:603-609
In this communication, the problem of determining effective pinging strategies in multistatic sonar systems with multiple transmitters is addressed. New algorithms are presented to determine effective pinging strategies for generalized search scenari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a45bc7f697fb32d4fa9c385b2ea5db0
https://doi.org/10.1109/joe.2009.2025155
https://doi.org/10.1109/joe.2009.2025155
Autor:
Evan Hanusa, David W. Krout
Publikováno v:
ACSSC
This paper presents results of augmenting the track state with an amplitude offset to predict the probability of detection for a target moving through a multistatic field. The amplitude offset in the state allows for the local modeling of the environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd1aa56c2310cf09dbc11454bdb1438f
https://doi.org/10.1109/acssc.2013.6810598
https://doi.org/10.1109/acssc.2013.6810598
Publikováno v:
ACSSC
This work presents the results of a multistage tracking framework on two types of passive radar data. The framework consists of three stages: range/range rate tracking to reject clutter, a posterior distribution transmitter fusion step, and a JPDA-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d5c965edaf78b98b370b5dccb609b55
https://doi.org/10.1109/acssc.2013.6810683
https://doi.org/10.1109/acssc.2013.6810683
Publikováno v:
2012 Oceans.
This paper presents the results of using a likelihood-based clustering step before tracking on a multistatic sonar step. The likelihood-based clustering appropriately models the measurement noise and allows for the incorporation of features. The clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c630054938c34f19fa8371710c7e91d
https://doi.org/10.1109/oceans.2012.6404928
https://doi.org/10.1109/oceans.2012.6404928
Publikováno v:
2012 Oceans.
Recently, researchers at the Applied Physics Laboratory at the University of Washington collected a unique dataset by suspending two cameras, one infrared and one electro-optical, from a balloon. This apparatus was then used to image objects drifting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1df31eb9c13a458ffd7ea4c70e56f3e0
https://doi.org/10.1109/oceans.2012.6404804
https://doi.org/10.1109/oceans.2012.6404804
Autor:
David W. Krout, Evan Hanusa
Publikováno v:
OCEANS'11 MTS/IEEE KONA.
This paper presents a method for using information from tracking to improve the results of contact classification. An Extended Kalman Filter is used to predict the target's state (position and velocity) at the current time. The predicted state is use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0592d299b2c3e00cea5c97c9c2df9922
https://doi.org/10.23919/oceans.2011.6107126
https://doi.org/10.23919/oceans.2011.6107126