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An Improved Source Localization Algorithm Based on Newton Iterative

机译：一种基于牛顿迭代的改进源定位算法

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摘要

In the use of search algorithms for vibration targets, Newton iteration method is strict in the selection of initial values, and when the time difference measurement error is larger or the gross error is presence, the part of the equation has no solution or fuzzy solution. Aiming at this shortcoming, this paper puts forward an improved source localization algorithm based on Newton iterative. The algorithm firstly eliminates the reliability lower sensor to reduce dimension of equations according to the theory of gross error, and then calculates iterative initial value for the high reliability sensor by Chan algorithm. Through geometric accuracy error to do the second initial value selection for chosen sensors, the final Newton iterative search method is used to locate the vibration source. The experimental results show that this method can effectively improve the positioning precision of the vibration source and anti-interference ability.
机译：在将搜索算法用于振动目标时，牛顿迭代法在初始值的选择上很严格，并且当时差测量误差较大或存在总误差时，方程的一部分没有解或模糊解。针对这一缺点，提出了一种基于牛顿迭代的改进源定位算法。该算法首先根据总误差理论消除可靠性较低的传感器，以减小方程的维数，然后通过Chan算法计算高可靠性传感器的迭代初始值。通过几何精度误差对所选传感器进行第二个初始值选择，最终的牛顿迭代搜索方法用于定位振动源。实验结果表明，该方法可以有效提高振动源的定位精度和抗干扰能力。

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