Abstract:
This paper deals with the design of an active/passive tracking system that is adaptive to the changing ambient noise and target maneuvers. It employs a soft tracking algorithm vis-a-vis noise rejection and targets rates. Linear prediction and Global Nearest Neighborhood (GNN) algorithms for data association are selectively applied to handle crossing tracks in Multiple Target Tracking environment. The algorithm allows user input and automatic tracking for track initiation and track maintenance. The design has been verified through simulation. Performance has been tested for slow, medium and extreme maneuvers with constantly, gradually and rapidly changing rates. Adaptability has been tested by continuously changing signal to noise ratio and randomly changing target bearing and range rates. The analysis portion highlights design constraints of active and passive trackers vis-a-vis performance.
Page(s):
424-433
DOI:
DOI not available
Published:
Journal: Proceedings 6th International Bhurban Conference on Applied Sciences and Technology , Volume: 1, Issue: 0, Year: 2009