Estimation of road vehicle speed using two omnidirectional microphones:: A maximum likelihood approach
Estimation of road vehicle speed using two omnidirectional microphones:: A maximum likelihood approach
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DOI：
10.1155/s1110865704311133
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发表时间：
2004-07-01
期刊：
影响因子：
--
通讯作者：
Pérez-González, F
中科院分区：
文献类型：
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作者：
López-Valcarce, R;Mosquera, C;Pérez-González, F
我们解决的问题，估计速度的道路车辆从其声学签名，记录由一对全向麦克风位于旁边的道路。这种传感器的选择是基于其非侵入性以及低安装和维护成本。提出了一种基于最大似然原理的估计方法。它直接估计汽车速度，而无需对车辆发出的声学信号进行任何假设。这具有绕过麻烦的中间延迟估计步骤以及消除对准确但足够通用的声学业务模型的需要的优点。窄带和宽带源的估计的分析和验证，与计算机模拟。该估计算法使用了一组修改后的交叉校正器，因此非常适合DSP实现，并在初步现场数据中表现良好。
We address the problem of estimating the speed of a road vehicle from its acoustic signature, recorded by a pair of omnidirectional microphones located next to the road. This choice of sensors is motivated by their nonintrusive nature as well as low installation and maintenance costs. A novel estimation technique is proposed, which is based on the maximum likelihood principle. It directly estimates car speed without any assumptions on the acoustic signal emitted by the vehicle. This has the advantages of bypassing troublesome intermediate delay estimation steps as well as eliminating the need for an accurate yet general enough acoustic traffic model. An analysis of the estimate for narrowband and broadband sources is provided and verified, with computer simulations. The estimation algorithm uses a bank of modified crosscorrelators and therefore it is well suited to DSP implementation, performing well with preliminary field data.