TY - GEN
T1 - Bearing-only multiple sources localization and the spatial spectrum
AU - Jia, Tianyi
AU - Wang, Haiyan
AU - Shen, Xiaohong
AU - Liu, Xingchen
AU - Jing, Haixia
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/25
Y1 - 2017/10/25
N2 - In this paper, a grid-based matching multiple sources localization (MUSOL) method is proposed and a spatial spectrum about multiple sources positions is obtained. The spatial spectrum obtained by MUSOL can provide a visualization results about the possible region of the multiple sources positions only if the AOA measurements have the right data association. This property permit the MUSOL not to perform an exhaustive search over all possible cases of AOA combinations, which may reduce the computational complexity in data association. Finally, numerical examples are implemented to validate the performance of the proposed grid-based matching MUSOL.
AB - In this paper, a grid-based matching multiple sources localization (MUSOL) method is proposed and a spatial spectrum about multiple sources positions is obtained. The spatial spectrum obtained by MUSOL can provide a visualization results about the possible region of the multiple sources positions only if the AOA measurements have the right data association. This property permit the MUSOL not to perform an exhaustive search over all possible cases of AOA combinations, which may reduce the computational complexity in data association. Finally, numerical examples are implemented to validate the performance of the proposed grid-based matching MUSOL.
UR - http://www.scopus.com/inward/record.url?scp=85029385177&partnerID=8YFLogxK
U2 - 10.1109/OCEANSE.2017.8084819
DO - 10.1109/OCEANSE.2017.8084819
M3 - 会议稿件
AN - SCOPUS:85029385177
T3 - OCEANS 2017 - Aberdeen
SP - 1
EP - 5
BT - OCEANS 2017 - Aberdeen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - OCEANS 2017 - Aberdeen
Y2 - 19 June 2017 through 22 June 2017
ER -