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Research on acoustic positioning system in robot audition

机译:机器人试听中的声学定位系统研究

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Robot auditory system was studied due to the advantages of non-line of sight and small data quantity, so the system was studied. Denoise background signal by EMD method, and then choose suitable IMF used for TDOA measured by GCC method. Substitute TDOA obtained into SI algorithm, then the position information of sound source could be get in near field. The influence factors on position error are TDOA errors and distance between robot and sound source. The maximum relative error is 6% with single channel contained TDOA error, and the maximum error is below 0.2m when all channels have TDOA error. The critical distance is 4m, and if it is less than 4m, the maximum error is below 0.2m, but it increases obviously when the distance more than 4m. EMD method can denoise background signal effectively, and the peak is obvious obtained by GCC method through EMD, the explicit boundary point on mobile robot by using different distance field was given, it can help the robot judge the sound source is in near field and far field. Robot auditory position system is feasible in simulation.
机译:由于视线不清晰,数据量小等优点,对机器人听觉系统进行了研究。通过EMD方法对背景信号进行降噪,然后选择适用于通过GCC方法测量的TDOA的IMF。将获得的TDOA代入SI算法,即可在近场获得声源的位置信息。影响位置误差的因素是TDOA误差和机器人与声源之间的距离。单通道包含TDOA误差时,最大相对误差为6%,而所有通道均具有TDOA误差时,最大相对误差在0.2m以下。临界距离为4m,如果小于4m,则最大误差在0.2m以下,但当距离大于4m时,最大误差会明显增加。 EMD方法可以有效地对背景信号进行去噪,通过GCC方法通过EMD可以得到明显的峰值,给出了使用不同距离场的移动机器人的显式边界点,可以帮助机器人判断声源在近场还是远场。场地。机器人听觉位置系统在仿真中是可行的。

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