Augmented intensity vectors for direction of arrival estimation in the spherical harmonic domain. Hafezi, S., Moore, A. H., & Naylor, P. A. IEEE_ACM_J_ASLP, 25(10):1956–1968, October, 2017.
doi  abstract   bibtex   
Pseudointensity vectors (PIVs) provide a means of direction of arrival (DOA) estimation for spherical microphone arrays using only the zeroth and the first-order spherical harmonics. An augmented intensity vector (AIV) is proposed which improves the accuracy of PIVs by exploiting higher order spherical harmonics. We compared DOA estimation using our proposed AIVs against PIVs, steered response power (SRP) and subspace methods where the number of sources, their angular separation, the reverberation time of the room and the sensor noise level are varied. The results show that the proposed approach outperforms the baseline methods and performs at least as accurately as the state-of-theart method with strong robustness to reverberation, sensor noise, and number of sources. In the single and multiple source scenarios tested, which include realistic levels of reverberation and noise, the proposed method had average error of 1.5° and 2°, respectively.
@article{Hafezi2017b,
	title = {Augmented intensity vectors for direction of arrival estimation in the spherical harmonic domain},
	volume = {25},
	issn = {2329-9290},
	doi = {10.1109/TASLP.2017.2736067},
	abstract = {Pseudointensity vectors (PIVs) provide a means of direction of arrival (DOA) estimation for spherical microphone arrays using only the zeroth and the first-order spherical harmonics. An augmented intensity vector (AIV) is proposed which improves the accuracy of PIVs by exploiting higher order spherical harmonics. We compared DOA estimation using our proposed AIVs against PIVs, steered response power (SRP) and subspace methods where the number of sources, their angular separation, the reverberation time of the room and the sensor noise level are varied. The results show that the proposed approach outperforms the baseline methods and performs at least as accurately as the state-of-theart method with strong robustness to reverberation, sensor noise, and number of sources. In the single and multiple source scenarios tested, which include realistic levels of reverberation and noise, the proposed method had average error of 1.5° and 2°, respectively.},
	number = {10},
	journal = {IEEE\_ACM\_J\_ASLP},
	author = {Hafezi, S. and Moore, A. H. and Naylor, P. A.},
	month = oct,
	year = {2017},
	pages = {1956--1968},
}

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