超宽带定位系统的压缩感知TDOA

Depeng Yang, Husheng Li, G. D. Peterson, A. Fathy
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引用次数: 21

摘要

将压缩感知(CS)理论应用于超宽带(UWB)定位系统中,以获得高分辨率的超宽带脉冲并实现高性能。提出了一种快速正交匹配追踪(FOMP)算法,并将其嵌入到到达时间差(TDOA)算法中,实现了快速目标定位。本文提出的流水线式OMP TDOA算法优于传统的串行OMP TDOA方法。仿真结果表明,采用FOMP TDOA算法的基于cs的超宽带定位系统在使用极低采样率adc的情况下,具有实现亚毫米定位精度的潜力。此外,结果对相对于基站的标签位置不敏感,这是顺序采样方法中不可避免的精度几何稀释的缺点。
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Compressive sensing TDOA for UWB positioning systems
The theory of Compressed Sensing (CS) is applied to Ultra-Wideband (UWB) positioning systems to obtain high resolution UWB pulses and achieve high performance. A Fast Orthogonal Matching Pursuit (FOMP) algorithm is proposed and embedded in the Time Difference Of Arrival (TDOA) algorithm for fast object positioning. Our pipelined FOMP TDOA algorithm outperforms the traditional serial OMP TDOA method. Simulation results have demonstrated that the CS-based UWB positioning system using the FOMP TDOA algorithm has the potential to achieve sub-mm positioning accuracy while still using very low sampling rate ADCs. Additionally, results are not sensitive to the tag location relative to base stations which is unavoidable drawback of geometrical dilution of accuracy in the sequential sampling method.
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