TY - GEN
T1 - Maximum likelihood DOA estimator based on importance sampling
AU - Huang, Jianguo
AU - Xie, Da
AU - Li, Xiong
AU - Zhang, Qunfei
PY - 2006
Y1 - 2006
N2 - DOA estimation is an important research area in array signal processing. Maximum Likelihood Estimator (MLE) has been shown to perform best among all the methods. However, the MLE requires a multidimensional grid search and the computational burden increases exponentially with the dimension. So it is difficult to be used in realtime applications. In order to reduce the computation, Monte Carlo methods are combined with MLE. A novel Maximum Likelihood DOA Estimator based on Importance Sampling (ISMLE) is proposed. ISMLE not only reduces the computational complexity of the original MLE from O(LK) to O(KXH), but also keeps the perfect original performance of the MLE. Simulation results show that ISMLE keeps the excellent performance of MLE, and simultaneously it reduces the computation obviously. Also ISMLE performs better than MUSIC and MiniNorm, especially in low SNRs.
AB - DOA estimation is an important research area in array signal processing. Maximum Likelihood Estimator (MLE) has been shown to perform best among all the methods. However, the MLE requires a multidimensional grid search and the computational burden increases exponentially with the dimension. So it is difficult to be used in realtime applications. In order to reduce the computation, Monte Carlo methods are combined with MLE. A novel Maximum Likelihood DOA Estimator based on Importance Sampling (ISMLE) is proposed. ISMLE not only reduces the computational complexity of the original MLE from O(LK) to O(KXH), but also keeps the perfect original performance of the MLE. Simulation results show that ISMLE keeps the excellent performance of MLE, and simultaneously it reduces the computation obviously. Also ISMLE performs better than MUSIC and MiniNorm, especially in low SNRs.
UR - http://www.scopus.com/inward/record.url?scp=34547596051&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2006.344051
DO - 10.1109/TENCON.2006.344051
M3 - 会议稿件
AN - SCOPUS:34547596051
SN - 1424405491
SN - 9781424405497
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2006 IEEE Region 10 Conference, TENCON 2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE Region 10 Conference, TENCON 2006
Y2 - 14 November 2006 through 17 November 2006
ER -