Receding horizon controller using particle swarm optimization for closed-loop ground target surveillance and tracking

Andrew J. Newman; Sean R. Martin; Jonathan T. DeSena; Jesse C. Clarke; Jeromy W. McDerment; Walter O. Preissler; Cameron K. Peterson

doi:10.1117/12.818535

11 May 2009 Receding horizon controller using particle swarm optimization for closed-loop ground target surveillance and tracking

Andrew J. Newman, Sean R. Martin, Jonathan T. DeSena, Jesse C. Clarke, Jeromy W. McDerment, Walter O. Preissler, Cameron K. Peterson

Author Affiliations +

Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 73360M (2009) https://doi.org/10.1117/12.818535
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

This paper investigates the problem of non-myopic multiple platform trajectory control in a multiple target search and track setting. It presents a centralized receding discrete time horizon controller (RHC) with variable-step look-ahead for motion planning of a heterogeneous ensemble of airborne sensor platforms. The controller operates in a closed feedback loop with a Multiple Hypothesis Tracker (MHT) that fuses the disparate sensor data to produce target declarations and state estimates. The RHC action space for each air vehicle is represented via maneuver automaton with simple motion primitives. The reward function is based on expected Fisher information gain and priority scaling of target tracks and ground regions. A customized Particle Swarm Optimizer (PSO) is developed to handle the resulting non-Markovian, time-varying, multi-modal, and discontinuous reward function. The algorithms were evaluated by simulating ground surveillance scenarios using representative sensors with varying fields of view and typical target densities and motion profiles. Simulation results show improved aggregate target detection, track accuracy, and track maintenance for closed-loop operation as compared with typical open-loop surveillance plans.

Citation Download Citation

Andrew J. Newman, Sean R. Martin, Jonathan T. DeSena, Jesse C. Clarke, Jeromy W. McDerment, Walter O. Preissler, and Cameron K. Peterson "Receding horizon controller using particle swarm optimization for closed-loop ground target surveillance and tracking", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360M (11 May 2009); https://doi.org/10.1117/12.818535

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available