Direction finding method via acoustic vector sensor array with fluctuating misorientation

In this paper, we consider the direction-of-arrival (DOA) estimation problem under fluctuating misorientation via acoustic vector sensor array (AVSA). A covariance matrix focusing fitting (CMFF) method is proposed to tackle this issue. Firstly, a new AVSA data model is created by incorporating the fluctuation parameter into different time segments. Then, to overcome the deterioration of DOA estimation performance under fluctuating misorientation in the total observation time, a covariance matrix focusing technique is formulated. By using the covariance matrix focusing technique, different time segments with fluctuating misorientation are converted into the desired data sets. Finally, to obtain more accurate DOA estimation performance, an iterative weighted covariance matrix fitting method is presented. Simulation and experimental results are carried out to demonstrate the superiority and robustness of our proposed method in the case of fluctuating misorientation for an AVSA.& COPY; 2023 Elsevier Ltd. All rights reserved.

Automated summary

This paper addresses the problem of direction-of-arrival (DOA) estimation under fluctuating misorientation in an acoustic vector sensor array (AVSA). A covariance matrix focusing fitting (CMFF) method is proposed to handle this issue. The proposed method incorporates a fluctuation parameter into different time segments to create a new AVSA data model. The deteriorated DOA estimation performance under fluctuating misorientation is mitigated by formulating a covariance matrix focusing technique. An iterative weighted covariance matrix fitting method is presented to achieve more accurate DOA estimation performance. Simulation and experimental results demonstrate the superiority and robustness of the proposed method in the case of fluctuating misorientation for an AVSA.