Technical Program

Paper Detail

Paper:SS-9.2
Session:Advances in Signal Processing for Positioning, Tracking, and Navigation
Time:Thursday, May 20, 15:50 - 16:10
Presentation: Special Session Lecture
Topic: Special Sessions: Advances in signal processing for positioning, tracking, and navigation
Title: TRACKING OF MULTIPLE MANEUVERING TARGETS USING MULTISCAN JPDA AND IMM SMOOTHING
Authors: Sumedh Puranik; Auburn University 
 Jitendra Tugnait; Auburn University 
Abstract: We consider the problem of tracking multiple maneuvering targets in the presence of clutter using switching multiple target motion models. A novel suboptimal fixed-lag smoothing algorithm is developed by applying the basic interacting multiple model (IMM) approach and joint probabilistic data association (JPDA) technique to a state augmented system. But unlike the standard single scan JPDA approach, we exploit a multiscan JPDA (Mscan-JPDA) approach to solve the data association problem. The algorithm is illustrated via a simulation example.
 
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