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Real-time ultrasonic distance measurements for autonomous mobile robots using cross correlation by single-bit signal processing

机译:使用单位信号处理使用互相关的自主移动机器人实时超声波距离测量

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Distance measurement using an ultrasonic wave is suitable for environment recognition in autonomous mobile robots. Ultrasonic distance measurement with the pulse-echo method is based on determining the time-of-flight (TOF) of the reflected echoes. The pulse-echo method with pulse compression, the cross-correlation method, can improve the distance resolution and the signal-to-noise ratio (SNR) of the reflected echo. However, cross correlation of the cross-correlation method requires the high-cost digital signal processing. A sensor signal processing method of cross correlation using a delta-sigma modulated single-bit digital signal has been proposed. Cross correlation by single-bit signal processing reduces the calculation cost of cross correlation. Furthermore, cross correlation by single-bit signal processing improves the time resolution of digital signal processing. In this paper, the distance resolution of cross correlation by single-bit signal processing is evaluated by computer simulations and experiments of ultrasonic distance measurement. Distance measurement from the high-time-resolution cross-correlation function obtained by single-bit signal processing realized high distance resolution from experimental results, despite the low calculation costs.
机译:使用超声波的距离测量适用于自主移动机器人中的环境识别。利用脉冲回波方法的超声波距离测量是基于确定反射回波的飞行时间(TOF)。具有脉冲压缩的脉冲回波方法,互相关方法,可以改善反射回波的距离分辨率和信噪比(SNR)。然而,互相关方法的互相关需要高成本的数字信号处理。已经提出了使用Delta-Sigma调制单位数字信号的互相关的传感器信号处理方法。单位信号处理的互相关降低了交叉相关的计算成本。此外,单位信号处理的互相关改善了数字信号处理的时间分辨率。在本文中,通过计算机仿真和超声波距离测量的计算机仿真评估单位信号处理互相关的距离分辨率。通过单比特信号处理获得的高度分辨率互相关函数的距离测量,尽管计算成本低,但是从实验结果中实现了高距离分辨率。

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