定位系统调查：抽样方法
Survey on Positioning System: Sampling methods
摘要：
利用到达时间差（TDOA）算法的毫米级超宽带（UWB）定位系统能够在军事和许多其他重要应用中得到利用。以往的超宽带定位系统研究已经达到毫米级或亚毫米级的精度。然而，UWB系统的一个瓶颈是高分辨率UWB信号的采样，以及高分辨率的定时信息。在本文中，UWB定位系统进行了调查，我们专注于处理UWB信号的采样方法。在各种采样方法中，传统的顺序采样方法是一种实时的性差的采样方法，阻碍了UWB定位系统获得更高的精度。另一种方法是将压缩感知（CS）应用于UWB系统，以实现亚毫米级的定位精度。在本文中，我们比较了不同的基于TDOA的UWB系统与不同的采样方法。特别是，几个CS-UWB算法的UWB信号重建的定位精度进行了比较。在二维和三维实验中的仿真结果表明，不同的算法，包括典型的BCS，OMP和BP算法的性能。并将CS-UWB定位系统与基于序贯采样的UWB定位系统进行了比较。
英文摘要：
Millimeter-accuracy Ultra-Wideband (UWB) positioning systems using the Time Difference Of Arrival (TDOA) algorithm are able to be utilized in military and many other important applications. Previous research on UWB positioning system has achieved up to mm or sub-mm accuracy. However, one bottleneck in UWB system is at sampling high resolution UWB signals, as well as high resolution timing information. In this paper, UWB positioning systems are surveyed and we focus on sampling methods for handling UWB signals. Among different sampling methods, one traditional way is the sequential sampling method, which is not a real time sampling method and blocks UWB positioning system to achieve higher precision. Another way is by applying Compressed Sensing (CS) to UWB system for achieving sub-mm positioning accuracy. In this paper, we compare different TDOA-based UWB systems with different sampling methods. In particular, several CS-UWB algorithms for UWB signal reconstruction are compared in terms of positioning accuracy. Simulation results in 2D and 3D experiments demonstrate performance of different algorithms including typical BCS, OMP and BP algorithms. CS-UWB is also compared with UWB positioning system based on the sequential sampling method.
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