Modeling the search for a randomly moving target by a patrolling searcher.

View/ Open
Author
Lohr, William J.
Date
1992-09Advisor
Eagle, James N.
Bailey, Michael P.
Second Reader
Washburn, Alan R.
Metadata
Show full item recordAbstract
This thesis develops a model, called Area Motion Search (AMS), that determines the detection probability for a patrolling sensor searching for a randomly moving target in a fixed area. The AMS model reduces to exhaustive search when the target is stationary and to random search when the searcher is stationary. Thus, AMS is a bridge between these two often used models in search theory, and provides a unified treatment of both.
Description
Approved for public release; distribution is unlimited.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Coordinated inland area Search and Rescue (SAR) planning and execution tool
Castle, Timothy S. (Monterey, California. Naval Postgraduate School, 1998-09);This thesis designs and implements the Coordinated Inland Area Search and Rescue (SAR) System (COINSS). This n provides several important features not provided by current inland SAR computer systems. First is the ability ... -
Optimized graph topologies for probabilistic search
Klaus, Christian; Chung, Timothy H. (IEEE, 2011-12);This paper investigates the effect on the performance of a mobile sensor search caused by the search environment. We model the search environment as a simple connected undirected graph. By adding non-existing edges to ... -
Modeling and Analysis of Exhaustive Probabilistic Search
Chung, Timothy H.; Silvestrini, Rachel T. (2014);This article explores a probabilistic formulation for exhaustive search of a bounded area by a single searcher for a single static target. The searcher maintains an aggregate belief of the target’s presence or absence in ...