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Intelligent Mobile Robots Localization System Combined ZigBee and Distributed Microphone Array

机译:ZigBee和分布式麦克风阵列相结合的智能移动机器人定位系统

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摘要

A mobile robot localization design scheme combined ZigBee and distributed microphone array is introduced. Firstly, the frame of localization system composed of eight-element microphones array, two ZigBee point to point communications modules are proposed. Secondly, generalized cross-correlation (GCC) function based on time delay of arrival (TDOA) is introduced to the system design. In order to improve the localization effect, the PHAT transform function is used synchronously in the system. Otherwise, to increase the distance between two microphones for improving space resolution and avoiding signal frequency aliasing, broadband frequency-continue-changed audio is selected as the sound source. Thirdly, ZigBee technology based on CC2430 chip is used in the design scheme, it is used to encrypt localization result and exchange data between microphone array and mobile robot. The data is transmitted conveniently and safely using the Zig-Bee technology. Finally, Experiments were performed. The experiment results show that the design can calculate the position of the sound source accurately, it takes less than 1.5 seconds to locate the position of the sound source for each data, it is faster than that based on high resolution spectral estimation.
机译:介绍了一种结合ZigBee和分布式麦克风阵列的移动机器人定位设计方案。首先,提出了由八单元麦克风阵列组成的定位系统框架,提出了两个ZigBee点对点通信模块。其次,将基于到达时间延迟(TDOA)的广义互相关(GCC)功能引入系统设计中。为了提高定位效果,系统中同步使用了PHAT变换功能。否则,为了增加两个麦克风之间的距离以提高空间分辨率并避免信号频率混叠,请选择宽带频率连续变化的音频作为声源。第三,在设计方案中采用基于CC2430芯片的ZigBee技术,用于加密定位结果并在麦克风阵列与移动机器人之间交换数据。使用Zig-Bee技术方便,安全地传输数据。最后,进行了实验。实验结果表明,该设计能够准确计算声源的位置,每个数据定位声源的位置不到1.5秒,比基于高分辨率频谱估计的速度要快。

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