TY - GEN
T1 - Maximum likelihood direction of arrival estimator based on modified ant colony optimization
AU - Mao, Linlin
AU - Zhang, Qunfei
AU - Huang, Jianguo
AU - Han, Jing
PY - 2013
Y1 - 2013
N2 - A novel maximum likelihood direction of arrival estimator based on modified ant colony optimization is proposed to lighten the exponentially increasing computation burden introduced by multidimensional grid search. By integrating chaos initialization and local search, modified ant colony optimization can overcome the drawbacks of ant colony optimization, such as low convergence speed and being easily trapped in local optimum. It is shown via simulations that the proposed method can keep the excellent performance of the original maximum likelihood direction of arrival estimator and reduce the computation evidently. Due to the initialization via chaotic sequences and local search in the solution update procedure, the proposed method reduces the sensitivity of parameters, and thus outperforms the maximum likelihood estimator based on ant colony for its higher precision and less computation.
AB - A novel maximum likelihood direction of arrival estimator based on modified ant colony optimization is proposed to lighten the exponentially increasing computation burden introduced by multidimensional grid search. By integrating chaos initialization and local search, modified ant colony optimization can overcome the drawbacks of ant colony optimization, such as low convergence speed and being easily trapped in local optimum. It is shown via simulations that the proposed method can keep the excellent performance of the original maximum likelihood direction of arrival estimator and reduce the computation evidently. Due to the initialization via chaotic sequences and local search in the solution update procedure, the proposed method reduces the sensitivity of parameters, and thus outperforms the maximum likelihood estimator based on ant colony for its higher precision and less computation.
KW - ant colony optimization
KW - computational complexity
KW - direction of arrival
KW - Maximum likelihood
UR - https://www.scopus.com/pages/publications/84894294591
U2 - 10.1109/TENCON.2013.6719054
DO - 10.1109/TENCON.2013.6719054
M3 - 会议稿件
AN - SCOPUS:84894294591
SN - 9781479928262
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
T2 - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Y2 - 22 October 2013 through 25 October 2013
ER -