半象限空间内基于粒子滤波的双曲线跟踪算法用于信号源定位

Iwan Awaludin, A. Prihatmanto, E. Hidayat, C. Machbub
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引用次数: 0

摘要

信号源定位由于其广泛的应用而成为一个有趣的研究问题。到达时差是多传感器估计信号源位置的常用模型之一。通过线性化过程求解模型中的非线性距离方程,通常采用闭式和精确解算法。作为一种替代方法,本文提出了双曲线跟踪算法来寻找双曲线之间的交点。该算法首先将二维问题的可能解空间缩减到象限的一半。它是通过比较信号到达各传感器的时间来实现的。然后选择两对传感器来构建两个双曲线。第二步包括基于粒子滤波的方法来寻找这两个非线性函数的交集。最后通过仿真验证了该算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hyperbola tracing algorithm based on particle filter approach within a half-quadrant space for signal source localization
Signal source localization has become an interesting research problem due to its wide applications. Time Difference of Arrival is one of the popular models to estimate the location of signal source using multiple sensors. Closed-form and exact-solution algorithms are commonly utilized to solve non-linear distance equations in the model through linearization process. As an alternative, hyperbola-tracing algorithm to find intersection point between two hyperbolas is proposed in this paper. This algorithm starts with reduction of possible solution space into half of a quadrant in 2D problem. It is carried out through comparison of time of signal arrival at each sensor. Two pairs of sensors are then selected to build two hyperbolas. The second step consists of particle-filter-based approach to seek the intersection of these two non-linear functions. A simulation is presented to show the performance of this algorithm.
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