Maximum Likelihood DOA Estimation Based On SOA And IASO Algorithm

Direction of arrival(DOA)estimation has a wide range of applications in underwater acoustic signal processing.In DOA estimation,the maximum likelihood DOA estimation is a method with simple thinking and superior estimation performance,but a multi-dimensional nonlinear optimization problem is involved in the maximum likelihood DOA estimation,which leads to a large amount of calculation and low estimation efficiency.In order to solve this problem,based on the seeker optimization algorithm(SOA)and the improved atomic search optimization(IASO)algorithm,this paper carried out related research on the MEMS vector hydrophone DOA estimation under the maximum likelihood estimation method.The main research results are as follows:In the first part,aiming at the multi-dimensional nonlinear problem of the spectral function in the maximum likelihood estimation method,using SOA’s characteristic of high convergence accuracy when solving extreme values,this article combines it with the ML-DOA estimation method and analyzes the results of the new algorithm in detail.The simulation results show that the ML-DOA estimation combined with the seeker optimization algorithm has better convergence and better estimation performance.In the second part,aiming at the problems of traditional atom search algorithm which is not high in accuracy and easy to fall into local optimum,an atom search algorithm based on the idea of speed update in particle swarm algorithm is proposed.Compared with the traditional atomic search algorithm,the improved atomic search algorithm has faster convergence speed and higher accuracy.The simulation results show that the ML-DOA estimation combined with this algorithm has better convergence performance,which greatly reduces the computational complexity of using ML-DOA to estimate multi-dimensional nonlinear problems.At the same time,in the second part of the simulation experiment,the SOA and IASO ML-DOA estimation methods were compared.The simulation results show that the improved atom search algorithm has the best effect.Compared with the crowd search algorithm,this method also has a faster convergence speed on the basis of ensuring the estimation accuracy,and at the same time the number of iterations is also less,and the root mean square error of this method is also lower.