Doppler Estimation of Multicarrier Acoustic Signals Based on the Accordance of Complex Amplitude Estimates

In positioning and communication systems utilizing multicarrier acoustic signals composed of multiple sinusoidal waves, performance degradation arises due to Doppler shifts caused by receiver motion. Consequently, it is essential to estimate the magnitude of the Doppler shift while simultaneously mitigating the influence of multipath propagation. To address this challenge, the proposed method extracts the segment of the received signal prior to the arrival of multipath components and identifies the concordance point of two sets of complex amplitude groups obtained using the extracted signal and two sets of reference signal groups. This approach reduces the computational burden by minimizing the number of multiplications required during the search process, enabling efficient estimation with lower complexity compared to conventional methods that search through reference signals. Evaluation experiments demonstrated that, when moving a microphone at velocities ranging from -2.0 to 2.0 m/s, the proposed method achieved Doppler shift estimation with a standard deviation of less than 0.064 m/s at signal-to-noise ratios of 21.2 dB or higher.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-07-14
DOI
https://doi.org/10.1109/jsen.2025.3586867
Citations
1
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
4.99

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article

Doppler Estimation of Multicarrier Acoustic Signals Based on the Accordance of Complex Amplitude Estimates

Masanori Sugimoto, M. Nakamura, Hiromichi Hashizume, Yuta Toyooka
1 citations
IEEE Sensors Journal
Advanced SAR Imaging Techniques
4.99
article

Doppler Estimation of Multicarrier Acoustic Signals Based on the Accordance of Complex Amplitude Estimates

Masanori Sugimoto, M. Nakamura, Hiromichi Hashizume, Yuta Toyooka
article en
1 citations

Abstract

In positioning and communication systems utilizing multicarrier acoustic signals composed of multiple sinusoidal waves, performance degradation arises due to Doppler shifts caused by receiver motion. Consequently, it is essential to estimate the magnitude of the Doppler shift while simultaneously mitigating the influence of multipath propagation. To address this challenge, the proposed method extracts the segment of the received signal prior to the arrival of multipath components and identifies the concordance point of two sets of complex amplitude groups obtained using the extracted signal and two sets of reference signal groups. This approach reduces the computational burden by minimizing the number of multiplications required during the search process, enabling efficient estimation with lower complexity compared to conventional methods that search through reference signals. Evaluation experiments demonstrated that, when moving a microphone at velocities ranging from -2.0 to 2.0 m/s, the proposed method achieved Doppler shift estimation with a standard deviation of less than 0.064 m/s at signal-to-noise ratios of 21.2 dB or higher.

IEEE Sensors JournalVol. 25(16)
Hokkaido University of Science (JP), Sapporo City University (JP), Sapporo University (JP), Hokkaido University (JP), National Institution for Academic Degrees and Quality Enhancement of Higher Education (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 5%
Advanced SAR Imaging Techniques
4.99
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Doppler Estimation of Multicarrier Acoustic Signals Based on the Accordance of Complex Amplitude Estimates — Masanori Sugimoto, M. Nakamura, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS