Doppler Shift-Compensated FMCW Algorithm for Centimeter-Level Acoustic Single-Anchor Positioning of Moving Targets in Narrow Spaces

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Weimeng Cui;Yuzhang Xi;Guangyao Liu;Naizheng Jia;Peixuan Hu;Shuyu Li;Zhi Wang
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引用次数: 0

Abstract

This article proposes a novel Doppler shift-compensated frequency-modulated continuous wave (DSC-FMCW) algorithm for achieving high-precision time-of-arrival (TOA) estimation of moving targets based on acoustics. In this algorithm, the stationary speaker transmits a mixed signal with upchirp and downchirp components, received by the moving microphone. Measurements are then compensated using the DSC-FMCW method. We then apply this algorithm to achieve 2-D positioning of moving targets in narrow spaces, using only one external speaker. In this method, a mirror-image speaker concept is introduced, where the primary reflection from the opposite wall is treated as coming from the mirror-image speaker, while reflections from the floor and ceiling are excluded as multipath signals. Additionally, considering the inability to synchronize the microphone and speaker, we leverage the characteristics of narrow spaces and the Doppler effect to achieve precise clock synchronization by estimating the absolute distance from a reference position to the speaker. Experiments show that the DSC-FMCW algorithm outperforms existing methods, achieving high accuracy in both open and multipath-affected scenarios at a target speed of 1.5 m/s, with mean errors of 0.0219 and 0.0418 m, respectively. Additionally, experiments in a $1.735\times 6.5$ m corridor demonstrate an average error of 0.0446 m and a 95th percentile error of 0.0872 m. The proposed algorithm shows strong accuracy and robustness.
窄空间厘米级运动目标单锚定位的多普勒频移补偿FMCW算法
本文提出了一种基于声学的多普勒频移补偿调频连续波(DSC-FMCW)算法,用于实现运动目标的高精度到达时间估计。在该算法中,静止扬声器发送一个带有上啁啾和下啁啾分量的混合信号,由移动麦克风接收。然后使用DSC-FMCW方法补偿测量值。然后,我们将该算法应用于仅使用一个外部扬声器在狭窄空间中实现移动目标的二维定位。在该方法中,引入了镜像扬声器的概念,其中来自对面墙壁的主反射被视为来自镜像扬声器,而来自地板和天花板的反射被排除为多径信号。此外,考虑到无法同步麦克风和扬声器,我们利用窄空间和多普勒效应的特性,通过估计从参考位置到扬声器的绝对距离来实现精确的时钟同步。实验表明,DSC-FMCW算法优于现有方法,在开放和多路径影响场景下,目标速度均为1.5 m/s,平均误差分别为0.0219 m和0.0418 m。此外,在$1.735\ × 6.5$ m的走廊中进行的实验表明,平均误差为0.0446 m,第95百分位误差为0.0872 m。该算法具有较强的精度和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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