基于体互相关函数的超分辨TDOA技术
A TDOA technique with Super-Resolution based on the Volume Cross-Correlation Function
摘要：
到达时间差（TDOA）在无线定位系统中有着广泛的应用。在众多的时差估计方法中，高分辨时差算法因其能够在多径环境下分辨密集信号时延而受到广泛关注。然而，现有的高分辨TDOA算法在多径效应密集的无线信道中仍存在时延分辨能力不足和计算复杂度高等问题。本文提出了一种新的基于多维互相关函数的超分辨时差算法：体积互相关函数（VCC）。该算法在多径环境下具有良好的时间分辨能力，同时具有较低的计算复杂性。由于该算法不需要已知发射信号的波形或功率谱，因此在各种无源无线定位系统中具有很大的应用潜力。数值模拟也证明了我们的结论的有效性。
英文摘要：
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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