Algorithmic approach for clandestine localisation and tracking in short-range environments

Target tracking applications have recently evolved becoming
essential intelligence and law enforcement tools. Traditionally, long-range
communications, such as cellular networks, have been used for this purpose.
Such conventional tracking approach, however, usually suffers from several
accuracy implications due to location measurement errors. This is exemplified
in densely cluttered and indoor environments where measurements are severely
affected by excessive environmental and physical noise. Additionally, most
localisation and tracking mechanisms today are based on active approach where
targets actively cooperate in the tracking process, or at least are aware of it.
Clearly, such approach is not suitable for law enforcement applications where
targets are suspects or criminals. In this paper, we adopt an algorithmic
approach to build an agent-based passive tracking system. We develop a
number of algorithms to initiate and maintain this tracking system while
consistently preserving passivity.