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Electrolocation with an electric organ discharge waveform for biomimetic application

机译:具有仿生应用的带有电器官放电波形的电定位

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Weakly electric fish use electric organ discharge (EOD) and their electroreceptors to identify prey, explore their surroundings, and communicate with other members of the same species. They are specialized in active electro-location using a self-generated electric field, and they can sense distortion of their self-generated electric field caused by a target object. Electric fish have many electrosensors on the surface of their body, and the sensor readings from the electroreceptors form an electric image. A correlation exists between features of the electric images and characteristics of a target object. In estimating the location of a target object, the intensity, width, and slope of the electric image must be considered. In this article, we suggest that periodic EOD signals are helpful to extract localization features from noisy electrosensory signals. Cross-correlation between an efference copy signal and sensory signals in the waveform can produce filtered signals in the temporal domain. For a biomimetic fish robot, we can use two-phase filtering: noise-filtering with cross-correlation in the temporal axis and additional filtering in the rostrocaudal spatial axis. This spatiotemporal filtering can effectively remove noise, thus making it possible to obtain accurate localization features of a target object in an underwater environment.
机译:弱电鱼使用电子器官放电(EOD)及其电感受器来识别猎物,探索其周围环境并与同一物种的其他成员通信。他们专注于利用自生电场进行主动电定位,并且可以感知由目标物体引起的自生电场的畸变。电鱼的身体表面有许多电传感器,并且电受体的传感器读数形成电图像。电图像的特征与目标物体的特征之间存在相关性。在估计目标物体的位置时,必须考虑电子图像的强度,宽度和斜率。在本文中,我们建议定期EOD信号有助于从嘈杂的电传感信号中提取定位特征。有效复制信号与波形中的感官信号之间的互相关可在时域中产生滤波后的信号。对于仿生鱼机器人,我们可以使用两阶段过滤:在时间轴上具有互相关的噪声过滤,以及在后尾鳍空间轴上进行附加过滤。这种时空滤波可以有效地去除噪声,从而可以在水下环境中获得目标物体的精确定位特征。

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