Direction-of-Arrival Estimation Using Gaussian Process Interpolation
Document Type
Conference Proceeding
Publication Date
1-1-2023
Abstract
Gaussian processes (GP's) have been used to predict acoustic fields by interpolating under-sampled field observations. Using GP interpolation to predict fields is advantageous because of its ability to denoise measurements and for its prediction of likely field outcomes given a certain field coherence, or in GP terminology, a kernel. While there are many design options for a coherence function, in this study we focus on the radial basis function kernel for estimating the direction-of-arrival (DOA) of a plane wave impinging on a uniform linear array. We demonstrate that an array sampled with spacing larger than a half wavelength can benefit from GP interpolation, providing a smaller root mean squared error in comparison to the error of conventional beamforming for DOA estimation.
Identifier
85170829587 (Scopus)
ISBN
[9781728163277]
Publication Title
ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
External Full Text Location
https://doi.org/10.1109/ICASSP49357.2023.10094761
ISSN
15206149
Volume
2023-June
Recommended Citation
Khurjekar, Ishan D.; Gerstoft, Peter; Mecklenbräuker, Christoph F.; and Michalopoulou, Zoi Heleni, "Direction-of-Arrival Estimation Using Gaussian Process Interpolation" (2023). Faculty Publications. 2226.
https://digitalcommons.njit.edu/fac_pubs/2226
