TY - JOUR
T1 - Fast DOA estimation algorithm for MIMO sonar based on ant colony optimization
AU - Shi, Wentao
AU - Huang, Jianguo
AU - Hou, Yunshan
PY - 2012/4
Y1 - 2012/4
N2 - The maximum likelihood (ML) estimator demonstrates remarkable performance in direction of arrival (DOA) estimation for the multiple input multiple output (MIMO) sonar. However, this advantage comes with prohibitive computational complexity. In order to solve this problem, an ant colony optimization (ACO) is incorporated into the MIMO ML DOA estimator. Based on the ACO, a novel MIMO ML DOA estimator named the MIMO ACO ML (ML DOA estimator based on ACO for MIMO sonar) with even lower computational complexity is proposed. By extending the pheromone remaining process to the pheromone Gaussian kernel probability distribution function in the continuous space, the proposed algorithm achieves the global optimum value of the MIMO ML DOA estimator. Simulations and experimental results show that the computational cost of MIMO ACO ML is only 1/6 of the MIMO ML algorithm, while maintaining similar performance with the MIMO ML method.
AB - The maximum likelihood (ML) estimator demonstrates remarkable performance in direction of arrival (DOA) estimation for the multiple input multiple output (MIMO) sonar. However, this advantage comes with prohibitive computational complexity. In order to solve this problem, an ant colony optimization (ACO) is incorporated into the MIMO ML DOA estimator. Based on the ACO, a novel MIMO ML DOA estimator named the MIMO ACO ML (ML DOA estimator based on ACO for MIMO sonar) with even lower computational complexity is proposed. By extending the pheromone remaining process to the pheromone Gaussian kernel probability distribution function in the continuous space, the proposed algorithm achieves the global optimum value of the MIMO ML DOA estimator. Simulations and experimental results show that the computational cost of MIMO ACO ML is only 1/6 of the MIMO ML algorithm, while maintaining similar performance with the MIMO ML method.
KW - Ant colony optimization (ACO)
KW - Computational complexity
KW - Direction of arrival (DOA)
KW - Maximum likelihood (ML)
KW - Multiple input multiple output (MIMO) sonar
UR - http://www.scopus.com/inward/record.url?scp=84863663513&partnerID=8YFLogxK
U2 - 10.1109/JSEE.2012.00022
DO - 10.1109/JSEE.2012.00022
M3 - 文章
AN - SCOPUS:84863663513
SN - 1671-1793
VL - 23
SP - 173
EP - 178
JO - Journal of Systems Engineering and Electronics
JF - Journal of Systems Engineering and Electronics
IS - 2
M1 - 6190865
ER -