An Improved Squirrel Search Algorithm for Maximum Likelihood DOA Estimation and Application for MEMS Vector Hydrophone Array

An Improved Squirrel Search Algorithm for Maximum Likelihood DOA Estimation and Application for MEMS Vector Hydrophone Array

Maximum likelihood (ML) method for direction of arrival (DOA) estimation achieves an excellent performance in array signal processing, but the complexity and computational load of searching the multidimensional nonlinear function prevented it from practical application. Based on squirrel search algo...

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Bibliographic Details
Main Authors: Peng Wang, Yujun Kong, Xuefang He, Mingxing Zhang, Xiuhui Tan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Direction of arrival (DOA) estimation
maximum likelihood (ML)
squirrel search algorithm (SSA)
invasive weed optimization (IWO)
micro electronic mechanical systems (MEMS) vector hydrophone
Online Access:https://ieeexplore.ieee.org/document/8809740/

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