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Using discrete event simulation to assess obstacle location accuracy in the REMUS unmanned underwater vehicle
| Author: | Allen, Timothy E. |
| Title: | Using discrete event simulation to assess obstacle location accuracy in the REMUS unmanned underwater vehicle |
| Abstract: | Navy personnel use the REMUS unmanned underwater vehicle to search for submerged objects. Navigation inaccuracies lead to errors in predicting the location of objects and thus result in increased search times for EOD teams searching for the object post mission. This thesis explores contributions to navigation inaccuracy using Discrete Event Simulation to model the vehicle's navigation system and operational performance. The DES generates data used, in turn, to build three models. First, the probability of detection is modeled by a logit regression. Second, given that detection has occurred, the mean location offset is modeled by a linear regression. Third, the distribution of errors is shown to follow an exponential distribution. These three models enable operators to explore the impact of various inputs prior to programming the vehicle, thus allowing them to choose the best combination of vehicle parameters that minimize the offset error between the reported and actual locations. |
| Date: | June 2004 |
| Url: | http://handle.dtic.mil/10... |
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