An overall methodology is described for the application of a multiple hypothesis tracking (MHT) algorithm to the infrared (IR) surveillance system problem of establishing tracks on dim targets in a heavy clutter or false alarm background. The authors discuss the manner in which the detection and tracking systems are jointly designed to optimize performance. They present approximate methods that can conveniently be used for preliminary system design and performance prediction. They discuss the use of a detailed Monte Carlo simulation for final system evaluation and present results illustrating the proposed methods and comparing predicted and simulation performance.<>
Multiple hypothesis track confirmation for infrared surveillance systems
IEEE Transactions on Aerospace and Electronic Systems ; 29 , 3 ; 810-824
1993-07-01
1147222 byte
Article (Journal)
Electronic Resource
English
Multiple Hypothesis Track Confirmation for Infrared Surveillance Systems
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