Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (8): 1718-1721.doi: 10.3969/j.issn.1001-506X.2011.08.08
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JIAO Ya-meng,HUANG Jian-guo,HOU Yun-shan
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Abstract:
A new maximum likelihood direction-of-arrival (DOA) estimator based on ant colony optimization (ACOML) is proposed to reduce the computational complexity of multidimensional nonlinear existing in maximum likelihood (ML) DOA estimator. By extending the pheromone remaining process in the traditional ant colony optimization into a pheromone Gaussian kernel probability distribution function in continuous space, ant colony optimization is combined with maximum likelihood method to lighten computation burden. The simulations show that ACOML provides a similar performance to that achieved by the original ML method, but its computational cost is only 1/15 of ML.
JIAO Ya-meng,HUANG Jian-guo,HOU Yun-shan. Fast maximum likelihood direction of arrival estimator based on ant colony optimization[J]. Journal of Systems Engineering and Electronics, 2011, 33(8): 1718-1721.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2011.08.08
https://www.sys-ele.com/EN/Y2011/V33/I8/1718