chapter  3
Strategies and Algorithms for Target Tracking and Data Fusion
Pages 94

The problem of tracking moving objects-including targets, mobile robots, and other vehicles-using measurements from sensors is of considerable interest in many military and civil applications that use radar, sonar systems, and electro-optical tracking systems (EOTs) for tracking fl ight testing of aircrafts, such as missiles, unmanned aerial vehicles, micro-or mini-air vehicles, and rotorcrafts. It is also useful in nonmilitary applications such as robotics, air traffi c control and management, air surveillance, and ground vehicle tracking. In practice, scenarios for target tracking could include maneuvering, crossing, and splitting (meeting and separating) targets. Various algorithms are available to achieve target tracking for such scenarios. The selection of the algorithms is generally application dependent and is also based on the merits of the algorithm, complexity of the problem (data corrupted by ground clutter, noise processes, and so on), and computational burden.