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Active beacon system with the fast processing architecture for indoor localization

机译:具有用于室内定位的快速处理架构的有源信标系统

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In this paper, we propose to improve an existing active beacon system, having the ultrasonic media type, which can be used for indoor localization; moreover, it utilizes pan-tilt mechanism for targeting the object. But it has the low sampling rate (time) and the normal accuracy (resolution) because the pan/tilt mechanism is operating and its processor is scheduling. What is more, it includes shortcoming such as limited arrival distance of ultrasonic signal and its high sensitivity to noises. In order to overcome these problems, we applied the multi modulation of ultra-sonic sensors, using two ultrasonic sensors with different frequencies, to considerable improve not only the sampling rate of this system but also the performance of indoor localization systems using a ultra-sonic sensor. In addition, such problems mentioned above were ameliorated using a more sophisticated microprocessor like `DSP驴 and applying the non-linear amplifier board, developed in KIST (Korea Institute of Science and Technology, Seoul, KOREA), in the signal detection part. And our system has become to estimate better because of using the estimation algorithm to the Unscented Kalman filter; consequently the positioning accuracy of this system has been increased highly through the redesigned system.
机译:在本文中,我们建议改进现有的活性信标系统,具有超声介质类型,可用于室内定位;此外,它利用泛倾斜机制来瞄准物体。但它具有低采样率(时间)和正常精度(分辨率),因为PAN /倾斜机制运行,其处理器正在调度。更多,它包括缺点,如超声信号的有限到达距离及其对噪声的高灵敏度。为了克服这些问题,我们应用了超声传感器的多调制,使用两个具有不同频率的超声波传感器,不仅可以相当好转地改善该系统的采样率,还可以使用超声波的室内定位系统的性能。传感器。此外,使用更复杂的微处理器如“DSP”和应用非线性放大器板,在信号检测部件中使用更复杂的微处理器和应用非线性放大器板,使用更复杂的微处理器和应用非线性放大器板进行了改善。由于使用估计算法到Unspented Kalman滤波器,我们的系统已成为更好的估计;因此,该系统的定位精度通过重新设计的系统高度增加。

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