TY - GEN
T1 - Direction of arrival estimation using nested vector-sensor arrays via tensor modeling
AU - Han, Keyong
AU - Nehorai, Arye
PY - 2014
Y1 - 2014
N2 - We propose a new class of nested vector-sensor arrays, via tensor modeling, which is capable of increasing the number of degrees of freedom (DOFs) for direction-of-arrival (DOA) estimation, compared with the uniform linear array (ULA). By using one component's information of the interspectral tensor, the proposed nested vector-sensor array can provide O(N2) DOFs with only N physical sensors. To utilize the increased DOFs, a novel spatial smoothing approach is proposed, which preserves the data structure and avoids reorganization via tensor modeling. Further, we propose corresponding direction of arrival (DOA) estimation strategies. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector sensors and acoustic vector sensors. We show that the DOA estimation performance is greatly improved due to the combination of the nested-array strategy and tensor modeling. The effectiveness of the proposed methods is verified through numerical examples.
AB - We propose a new class of nested vector-sensor arrays, via tensor modeling, which is capable of increasing the number of degrees of freedom (DOFs) for direction-of-arrival (DOA) estimation, compared with the uniform linear array (ULA). By using one component's information of the interspectral tensor, the proposed nested vector-sensor array can provide O(N2) DOFs with only N physical sensors. To utilize the increased DOFs, a novel spatial smoothing approach is proposed, which preserves the data structure and avoids reorganization via tensor modeling. Further, we propose corresponding direction of arrival (DOA) estimation strategies. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector sensors and acoustic vector sensors. We show that the DOA estimation performance is greatly improved due to the combination of the nested-array strategy and tensor modeling. The effectiveness of the proposed methods is verified through numerical examples.
KW - Direction of arrival estimation
KW - acoustic vector sensors
KW - electromagnetic vector sensors
KW - nested array
KW - tensor
UR - http://www.scopus.com/inward/record.url?scp=84907417780&partnerID=8YFLogxK
U2 - 10.1109/SAM.2014.6882434
DO - 10.1109/SAM.2014.6882434
M3 - Conference contribution
AN - SCOPUS:84907417780
SN - 9781479914814
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 429
EP - 432
BT - 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
PB - IEEE Computer Society
T2 - 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Y2 - 22 June 2014 through 25 June 2014
ER -