Multitarget tracking using virtual measurement of binary sensor networks

Abstract

Networks of small low-cost sensors for target tracking are becoming increasingly important for many applications. A major problem is that these small sensors usually have limited observability due to power constraints and the transition between sensor observation and target states is nonlinear. As a consequence, nonlinear filtering techniques, such as particle filtering, are often chosen by researchers in this context. We focus on a network of sensors where each sensor provides binary data at each epoch: target present or target absent. At this point it is not clear that existing approaches can effectively handle the tracking of multiple targets using such networks. In addition, algorithmic ..