Doppler Shift Mitigation in Acoustic Positioning Based on Relative Speed of Base Station for Smartphones

To mitigate the tracking error of moving targets caused by the Doppler shift in acoustic indoor positioning system (AIPS), a novel mitigation method is proposed in this article. It first uses the audio arrival times (AATs) of two adjacent positioning cycles to estimate the relative speed of base sta...

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Vydáno v:IEEE transactions on instrumentation and measurement Ročník 71; s. 1 - 13
Hlavní autoři: Cao, Shuai, Chen, Xiang
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Accuracy
Acoustic indoor positioning system (AIPS)
Acoustics
Algorithms
audio arrival time (AAT)
Base stations
Doppler effect
Doppler shift
Doppler shift mitigation
Low noise
Moving targets
Noise levels
Onsite
Reference signals
relative speed of base station (RSoBS)
Smart phones
Smartphones
Target tracking
Time-frequency analysis
Tracking errors
Wireless fidelity
ISSN:0018-9456, 1557-9662
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Shrnutí:To mitigate the tracking error of moving targets caused by the Doppler shift in acoustic indoor positioning system (AIPS), a novel mitigation method is proposed in this article. It first uses the audio arrival times (AATs) of two adjacent positioning cycles to estimate the relative speed of base station (RSoBS), then uses the estimated RSoBS to update the parameters of the reference signal, reconstructs a new reference signal that matches the received signal, and, finally, substitutes the reconstructed reference signal into the audio detection algorithm to obtain a new AAT estimation, which is then fed back to update the RSoBS estimation. The above process is repeated until a stable RSoBS is obtained, and the AAT estimation corresponding to the final stable RSoBS is the final corrected AAT estimation, which is used to estimate the position of the moving target, thereby improving the tracking accuracy of AIPS. Both simulations and on-site experiments are used to verify the performance of the proposed method. The simulation results show that the ranging deviation caused by the Doppler shift is close to a linear relationship with RSoBS, and the errors of the estimated positions can be effectively mitigated by the proposed method under a low noise level. The on-site experiments show that about 90% of the RSoBS estimation errors are within 0.25 m/s, and the positioning accuracy is improved by about 0.26 m@90%. The proposed method has important application value in improving the tracking accuracy of AIPS for moving targets.
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ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2022.3179474