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Direct Localization Based on Motion Analysis of Single-Station Using TOA

机译:基于TOA的单站运动分析直接定位

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Single-station localization of a stationary target using TOA(time of arrival) is considered. Conventional methods locate the target by estimating TOA-rate of the received pulse sequences in that TOA-rate is equivalent to relative velocity, and the estimation of relative velocity is widely accepted to be necessary for improving location performance. In this paper, TOA sequences are divided into consecutive slices firstly as conventional methods. Based on the motion analysis of each slice, a direct TOA localization model involving the known observer velocities is established. By introducing the DPD (direct position determination) technique and using TOA rather than the TOA-rate., a new TOA-DPD method is proposed to accomplish the localization. Then Newton-iterative algorithm is adopted to estimate the unknown target position and other nuisance parameters jointly. GDOP(geometric dilution of precision) of TOA-DPD is also derived along with TOA-rate localization method, and the comparative analysis shows that the TOA-DPD method has lower bound than the TOA-rate method. The numerical simulations demonstrate that the Newton-iterative TOA-DPD algorithm can reach the CRLB(Cramer-Rao lower bound).
机译:考虑使用TOA(到达时间)对固定目标进行单站定位。常规方法通过估计接收到的脉冲序列的TOA率来定位目标,因为TOA率等于相对速度,并且相对速度的估计被广泛接受,对于改善定位性能是必要的。在本文中,TOA序列作为常规方法首先被分为连续的切片。基于每个切片的运动分析,建立了包含已知观察者速度的直接TOA定位模型。通过引入DPD(直接位置确定)技术并使用TOA而不是TOA-rate,提出了一种新的TOA-DPD方法来完成定位。然后采用牛顿迭代算法联合估计未知目标位置和其他有害参数。还与TOA-rate定位方法一起推导了TOA-DPD的GDOP(精度的几何稀释度),对比分析表明,TOA-DPD方法的边界比TOA-rate方法低。数值仿真表明,牛顿迭代TOA-DPD算法可以达到CRLB(Cramer-Rao下界)。

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