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      A TDOA technique with Super-Resolution based on the Volume Cross-Correlation Function

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          Abstract

          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.

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          Author and article information

          Journal
          2015-02-10
          2015-11-09
          Article
          1502.02803
          db6f647f-d5a3-498e-ad10-7d514537eacc

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          13 pages, submitted and revised to IEEE Trans on Signal Processing
          cs.IT math.IT

          Numerical methods,Information systems & theory
          Numerical methods, Information systems & theory

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