A Factor-Graph-Based TOA Location Estimator
A Factor-Graph-Based TOA Location Estimator
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DOI：
10.1109/twc.2012.040412.110520
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发表时间：
2012-04
影响因子：
10.4
通讯作者：
Hwa-Lu Jhi;Jung-Chieh Chen;Chih-Hung Lin;Chin-tseng Huang
中科院分区：
文献类型：
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作者：
Hwa-Lu Jhi;Jung-Chieh Chen;Chih-Hung Lin;Chin-tseng Huang
提出了一种基于TOA的高精度、低复杂度的移动台位置估计算法。首先，使用了一种基于因子图的分布方法，该方法也可以在多状态系统中工作。通过有效地交换变量的软信息或随机性质，这种分布式方法可以在计算量小得多的情况下执行几乎与传统算法相同的性能。其次，采用数据筛选的方法，降低了复杂度，提高了准确率。仿真结果表明，该方法在保持较高精度的同时，实现了较低的复杂度。由于该方法准确且易于实现，将更好地满足实际应用的需求。
A high-accuracy and low-complexity TOA-based algorithm is proposed to estimate mobile station (MS) location. First, a factor-graph-based distributive approach is used, which can work in a multi-state system as well. By effectively exchanging the available soft-information or stochastic property of the variables, this distributive approach can perform almost as well as conventional algorithm while requiring much less computational workload. Second, data screening method was applied to reduce complexity and data discrimination to improve accuracy. Simulation results demonstrate that this approach can maintain good accuracy while achieving low complexity. Since this approach is accurate and easy to implement, it will better satisfy the demands of real applications.