  This paper presents a novel distributed algorithm for tracking a maneuvering
target using bearing or direction of arrival measurements collected by a
networked sensor array. The proposed approach is built on the dynamic
average-consensus algorithm, which allows a networked group of agents (nodes)
to reach consensus on the global average of a set of local time-varying signals
in a distributed fashion. Since the average-consensus error corresponding to
the presented dynamic average-consensus algorithm converges to zero in finite
time, the proposed distributed algorithm guarantees that the tracking error
converges to zero in finite time. Numerical simulations are provided to
illustrate the effectiveness of the proposed algorithm.
