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Intelligent Mobile Robots Localization System Combined ZigBee and Distributed Microphone Array

机译:智能移动机器人定位系统组合ZigBee和分布式麦克风阵列

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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:介绍了一种移动机器人定位设计方案组合ZigBee和分布式麦克风阵列。首先,提出了由八元麦克风阵列组成的定位系统的帧,提出了两个ZigBee点到点通信模块。其次,基于到达时间延迟(TDOA)的广义互相关(GCC)功能被引入系统设计。为了提高本地化效果,PHAT变换功能在系统中同步使用。否则,为了提高两个麦克风之间的距离来改善空间分辨率并避免信号频率振荡,选择宽带频率继续改变的音频作为声源。第三,基于CC2430芯片的ZigBee技术在设计方案中使用,它用于加密定位结果并在麦克风阵列和移动机器人之间交换数据。使用Zig-BEE技术方便,安全地安全地传输数据。最后,进行实验。实验结果表明,该设计可以准确地计算声源的位置,所以要小于1.5秒才能定位每个数据的声源位置,这比基于高分辨率光谱估计更快。

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