  We propose a distributed (single) target tracking scheme based on networked
estimation and consensus algorithms over static sensor networks. The tracking
part is based on linear time-difference-of-arrival (TDOA) measurement proposed
in our previous works. This paper, in particular, develops delay-tolerant
distributed filtering solutions over sparse data-transmission networks. We
assume general arbitrary heterogeneous delays at different links. This may
occur in many realistic large-scale applications where the data-sharing between
different nodes is subject to latency due to communication-resource constraints
or large spatially distributed sensor networks. The solution we propose in this
work shows improved performance (verified by both theory and simulations) in
such scenarios. Another privilege of such distributed schemes is the
possibility to add localized fault-detection and isolation (FDI) strategies
along with survivable graph-theoretic design, which opens many follow-up venues
to this research. To our best knowledge no such delay-tolerant distributed
linear algorithm is given in the existing distributed tracking literature.
