TY - JOUR
T1 - Evaluation and comparison of three source direction-of-arrival estimators using relative harmonic coefficients
AU - Hu, Yonggang
AU - Samarasinghe, Prasanga N.
AU - Gannot, Sharon
AU - Abhayapala, Thushara D.
N1 - Publisher Copyright:
©2021 IEEE
PY - 2021
Y1 - 2021
N2 - A spherical harmonics domain source feature called relative harmonic coefficients (RHC) has recently been applied to address the source direction-of-arrival (DOA) estimation problem. This paper presents a compact evaluation and comparison between two existing RHC based DOA estimators: (i) a method using a full grid search over the two-dimensional (2-D) directional space, (ii) a decoupled estimator which uses one-dimensional (1-D) search to separately localize the source’s elevation and azimuth. We also propose a new estimator using a gradient descent search over the 2-D directional grid space. Extensive experiments in both simulated and real-life environments are conducted to examine and analyze the performance of all the underlying DOA estimators. Two objective metrics, including localization accuracy and algorithm complexity, are adopted for an evaluation and comparison between all estimators.
AB - A spherical harmonics domain source feature called relative harmonic coefficients (RHC) has recently been applied to address the source direction-of-arrival (DOA) estimation problem. This paper presents a compact evaluation and comparison between two existing RHC based DOA estimators: (i) a method using a full grid search over the two-dimensional (2-D) directional space, (ii) a decoupled estimator which uses one-dimensional (1-D) search to separately localize the source’s elevation and azimuth. We also propose a new estimator using a gradient descent search over the 2-D directional grid space. Extensive experiments in both simulated and real-life environments are conducted to examine and analyze the performance of all the underlying DOA estimators. Two objective metrics, including localization accuracy and algorithm complexity, are adopted for an evaluation and comparison between all estimators.
KW - DOA estimators
KW - Gradient descent search
KW - Relative harmonic coefficients
KW - Spherical harmonics domain
UR - http://www.scopus.com/inward/record.url?scp=85115188552&partnerID=8YFLogxK
U2 - 10.1109/ICASSP39728.2021.9414481
DO - 10.1109/ICASSP39728.2021.9414481
M3 - Conference article
AN - SCOPUS:85115188552
SN - 0736-7791
VL - 2021-June
SP - 815
EP - 819
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
T2 - 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
Y2 - 6 June 2021 through 11 June 2021
ER -