Compressed time difference of arrival based emitter localization
Compressed time difference of arrival based emitter localization
复制标题
基于压缩到达时间差的发射源定位
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
D. Dorsch
中科院分区：
文献类型：
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作者：
Johannes Schmitz;R. Mathar;D. Dorsch
利用信号到达的时间差，撞击分布式传感器网络，是一种广为人知的无线电波辐射源位置估计方法。精确定位所需的高采样率意味着传感器节点之间需要进行大量的数据交换。相反，连接节点的启用高数据速率的主干链路的缺失限制了系统性能，甚至在某些情况下可能使其功能失调。针对这一问题，我们提出了一种新的基于压缩到达时间差的定位方法。由于潜在问题的联合空间稀疏性，可以通过应用压缩感知方法来减少交换样本的数量。此外，我们的算法提供了一种直接估计位置的方法，避免了求解非线性双曲方程组的需要。通过仿真对该方法的性能及其对估计精度的影响进行了评估。
Utilizing the time differences of arrival of a signal, impinging on a distributed sensor network, is a well known approach for the location estimation of a radio wave emitter. The high sampling rate necessary for a precise positioning implies a huge amount of data exchange between the sensor nodes. Contrary, the absence of high data rate enabled backbone links, connecting the nodes, restricts the system performance or may even render it dysfunctional in some cases. In order to tackle the problem we propose a novel method for compressed time difference of arrival based localization. Due to the joint spatial sparsity of the underlying problem the amount of exchanged samples can be reduced by applying the compressed sensing methodology. Furthermore, our algorithm provides a direct way of estimating the location, avoiding the necessity of solving a system of nonlinear hyperbolic equations. The performance of the proposed method and the impact on the estimation accuracy are evaluated based on simulations.