Barbosa, Patricia de Rezende, authorLi, Yun, authorChong, Edwin Kah Pin, author2007-01-032007-01-032006http://hdl.handle.net/10217/530When compared to tracking airborne targets, tracking ground targets on urban terrain brings a new set of challenges. Target mobility is constrained by road networks, and the quality of measurements is affected by dense clutter, multipath, limited line-of-sight, and other interferers. In order to improve the accuracy of track estimates under such complex scenarios, it is important to use prior knowledge of the environment. We investigate the integration of detection, signal processing, tracking, and scheduling by exploiting distinct levels of diversity. This poster is approved by DARPA (Defense Advanced Research Projects Agency) for public release, distibution unlimited.born digitalStudent workspostersengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.filteringtarget trackingdetectiondata associationText