Monte Carlo algorithms for tracking a maneuvering target using a network of mobile sensors

Abstract

We address the problem of tracking a maneuvering target that moves over a two-dimensional region using a network of mobile binary sensors. The transmission of binary decisions (presence or absence of the target within the sensor range) is advantageous because it reduces energy consumption considerably. Also, the use of mobile sensors allows tracking the target over a large area with only a limited number of devices. We introduce two algorithms, based on the sequential Monte Carlo methodology, that track the target and the sensors (whose position is also unknown) jointly. The performance of the trackers is illustrated by means of computer simulations.