Multipath Error Reduction for Underwater Acoustic Direction of Arrival Estimation
Keisaku Takada, Shingo Yoshizawa, Tomoya Tsukui, Takashi Saito
Abstract
Keisaku Takada, Shingo Yoshizawa, Tomoya Tsukui, Takashi Saito
Abstract
This paper presents underwater acoustic direction of arrival (DOA) estimation in highly reflective multipath environments. In ultra-short baseline (USBL), DOA is estimated from a time difference of arrival (TDOA). TDOA is detected by the peak position of cross-correlation values between two received signals. Strong reverberation causes outliers in DOA estimation. We focus on improvement of peak detection to reduce their outliers and propose a new method of IR-GCC-PHAT. The proposed method has been evaluated in both simulation and experiment and shown fewer outliers than the other methods.
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This paper presents underwater acoustic direction of arrival (DOA) estimation in highly reflective multipath environments. In ultra-short baseline (USBL), DOA is estimated from a time difference of arrival (TDOA). TDOA is detected by the peak position of cross-correlation values between two received signals. Strong reverberation causes outliers in DOA estimation. We focus on improvement of peak detection to reduce their outliers and propose a new method of IR-GCC-PHAT. The proposed method has been evaluated in both simulation and experiment and shown fewer outliers than the other methods.
Key concepts: Multilateration, Reverberation, Direction of arrival, Outlier, Multipath propagation, Computer science, Underwater, Arrival time