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Assessing the Accuracy of Hyperbolic Multilateration Systems

机译:评估双曲多边系统的精度

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In this paper, we investigate a number of hyperbolicrnequation-solving techniques for signal of opportunityrn(SOOP)-based positioning. The Taylor series iterativernmethod begins with an initial guess and improves thernestimate per iteration by determining a local linear leastsquarern(LS) solution. With a set of time difference ofrnarrival (TDOA) estimates, the method estimates thernposition location deviations. In contrast, the closed formrnmethod is a non-iterative solution to the hyperbolicrnposition estimation problem, which is capable ofrnachieving optimum performance for arbitrarily placedrnreceivers. The height compensation method starts with arnthree-dimensional (3D) position fix using TDOArnmeasurements, computes two-dimensional (2D) rangesrnusing the estimated position, and re-solves the 2Drnsolution by eliminating the height component, which isrnmore susceptible to range errors. Last, we use heightrninformation from a digital terrain elevation databasern(DTED) to assist the conventional hyperbolic equationsolvingrnmethods, thus minimizing the position errors inrnheight. This paper compares the accuracy of thernaforementioned hyperbolic positioning techniques basedrnon simulation.
机译:在本文中,我们研究了许多基于机会信号(SOOP)定位的双曲方程求解技术。泰勒级数迭代方法从初始猜测开始,并通过确定局部线性最小二乘(LS)解决方案来提高每次迭代的迭代时间。利用一组到达时间差(TDOA)估计,该方法估计了位置位置偏差。相反,封闭式方法是双曲估计估计问题的非迭代解决方案,它能够为任意放置的接收器实现最佳性能。高度补偿方法从使用TDOArn测量值的三维(3D)位置定位开始,使用估计的位置计算二维(2D)范围,然后通过消除高度分量重新解析2Drnsolution,从而更容易受到范围误差的影响。最后,我们使用数字地形高程数据库(DTED)中的高度信息来辅助传统的双曲方程求解方法,从而最大程度地减小了位置误差。本文基于非仿真比较了上述双曲线定位技术的精度。

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