  Time Difference of Arrival (TDOA) is widely used in wireless localization
systems. Among the enormous approaches of TDOA, high resolution TDOA algorithms
have drawn much attention for its ability to resolve closely spaced signal
delays in multipath environment. However, the state-of-art high resolution TDOA
algorithms still have performance weakness on resolving time delays in a
wireless channel with dense multipath effect, as well as difficulties in
implementation for their high computation complexity. In this paper, we propose
a novel TDOA algorithm with super resolution based on a multi-dimensional
cross-correlation function: the Volume Cross-Correlation Function (VCC). The
proposed TDOA algorithm has excellent time resolution capability in multipath
environment, and it also has a much lower computational complexity. Because our
algorithm does not require priori knowledge about the waveform or power
spectrum of transmitted signals, it has great potential of usage in various
passive wireless localization systems. Numerical simulations is also provided
to demonstrate the validity of our conclusion.
