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Impact of the range and geometry estimation in the accuracy of the passive TDOA algorithm

机译:范围和几何估计对无源TDOA算法精度的影响

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The positioning ability is essential in mobile networks. Providing the position of entities is in general a complex task that becomes especially hard in ad hoc networks. In these networks, the topology cannot be planned and network nodes usually present restrictions in terms of computation capabilities and autonomy that constrain the network lifetime. Passive algorithms have been proposed for minimizing the impact of location services in the network, i.e. reducing the location traffic and extending the network life. However, the accuracy of passive algorithms tends to be worse than the accuracy for active approaches. This paper studies the impact of several proposals focused on improving the accuracy of the passive TDOA algorithm. Results indicate that weighing the ordinary least squares algorithm with the appropriate factors could be enough for improving the accuracy of the algorithm in some scenarios.
机译:定位能力在移动网络中至关重要。提供实体的位置通常是一项复杂的任务,在自组织网络中尤其困难。在这些网络中,无法规划拓扑,并且网络节点通常在计算能力和自主性方面会受到限制,从而限制了网络的寿命。已经提出了无源算法来最小化网络中位置服务的影响,即减少位置业务量并延长网络寿命。但是,被动算法的精度往往比主动方法的精度差。本文研究了一些旨在提高无源TDOA算法准确性的建议的影响。结果表明,在某些情况下用适当的因子加权普通最小二乘算法可能足以提高算法的准确性。

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