Tracking with distributed sets of proximity sensors using geometric invariants

Abstract

We propose a new approach to forming an estimate of a target track in a distributed sensor system using very limited sensor information. This approach uses a central fusion system that collects only the peak energy information from each sensor and assumes that the energy attenuates as a power law in range from the source. A geometrical invariance property of the proximity of the distributed sensors relative to a target track is used to generate potential target track paths. Numerical simulation examples are presented to illustrate the practicality of the technique.

Target motion analysis and track association with a network of proximity sensors

“…The scopes of this paper and of the recent paper of Wettergren et al [23] are rather similar. However, the information which is considered at the sensor level in [23] is only reduced to a CPA information. Authors then developed an original method for target tracking via geometric invariants.…”

“…Important contributions include the works of Mucci et al and of La Scala and Farina [17]. The scopes of this paper and of the recent paper of Wettergren et al [23] are rather similar. However, the information which is considered at the sensor level in [23] is only reduced to a CPA information.…”

“…(2.2) and [4]) with the same threshold. Since this preliminary state is a fundamental prerequisite before associating and testing, it deserves some interest, exemplified by recent publications on this subject [14,23]. First, let us precise the objective we have in mind.…”

Track coverage in sensor networks

“…In proximity networks the measurements are very limited and may be collected by the sensors at different times, while the target moves across the sensor network. In this case, the event-based algorithm developed in [8] can be used to determine the potential track of a single target based on multiple reports on its location. The target is assumed to move at constant speed and heading through the sensor field maintaining a constant source amplitude.…”

“…In addition, the track-forming algorithm in [8] assumes that the received signal is isotropic energy attenuated by the environment according to the following power law,…”