Research On Coherent Signal DOA Estimation Based On Improved MUSIC Algorithm

In the array signal processing,the DOA estimation(also known as DOA estimation)is a commonly used and extremely important method.This paper mainly based on the existing DOA algorithm technology,to a deeper study.Firstly,this paper makes a simple analysis and explanation of the principle of the classical DOA estimation algorithm.The simplest and most effective algorithm for DOA estimation is the MUSIC algorithm.The subsequent algorithms of this paper are based on the algorithm;of course,the article also introduces other DOA.Estimation algorithms,including the Capon algorithm and the delay addition method.The simulation experiment is carried out by setting different simulation parameters using MATLAB software.The results show that the estimation accuracy of MUSIC algorithm is significantly higher than other algorithms for DOA estimation of non-coherent signals.The only shortcoming is that it cannot be more accurately correlated.The source is estimated.Secondly,for the inability of MUSIC algorithm to accurately distinguish the coherent signal,the paper proposes an improved MUSIC algorithm(IMUSIC algorithm)based on the principle of estimating the signal DOA.And the modified MUSIC algorithm(MMUSIC algorithm),combined with MATLAB simulation,confirms that both algorithms can better distinguish the signal source when dealing with coherent signals.For DOA estimation of coherent signal sources,in addition to the above improved MUSIC algorithm,several other algorithms are also listed in this paper: spatial smoothing algorithm,matrix decomposition method,vector singular value method(SVD algorithm)and subspace fitting algorithm.The principle of several algorithms is briefly introduced,and their estimation accuracy is compared and analyzed through experimental simulation.However,these algorithms also face the lack of array elements,the inability to accurately estimate coherent sources,and computational complexity.This requires us to do more research and optimization of these algorithms according to different practical problems.Finally,a windowed function filtering scheme is proposed to process the coherent signal.The simulation results show that the method can estimate the direction of arrival of the coherent signal.Finally,an improved algorithm,I-MMUSIC algorithm,is proposed in combination with the improved MUSIC algorithm and spatial smoothing algorithm.Through the experimental simulation under multiple parameters and the estimation accuracy of other algorithms,the effectiveness of the algorithm for coherent signals and the high DOA estimation accuracy are verified.