Direction-of-arrival Estimation Using Thinned Array In The Context Of Both Circular And Non-circular Source

The direction of arrival estimation is an important common scientific problem in the field of signal processing.It has a wide range of applications in mobile communications,radar target positioning and tracking and other engineering technology fields.In this article,we have carried out research on the related technology of direction of arrival estimation.From the perspective of signal characteristics,we have improved the direction of arrival estimation algorithm of nested arrays and coprime arrays,and provided a new direction of arrival estimation scheme.We carried out analysis and induction and computer simulation experiments.The main work and contributions of this paper are as follows:Firstly,the basic ideas and main processes of several traditional MUSIC(Multiple Signal Classification)algorithms are introduced,and the advantages and disadvantages of each algorithm are summarized through theoretical analysis.Secondly,several sparse array structures with special array element placement rules are introduced,including nested arrays and coprime arrays,and the corresponding signal models are described.Besides,this article introduced the virtual domain signal processing technology introduced by the differential array,and applied the spatial smoothing technology to the virtual domain signal processing.Thirdly,an improved algorithm for estimation of the direction of arrival of non-circular incident signals based on nested arrays and coprime arrays is proposed.In non-circular signal application scenarios,the improved algorithm uses the conjugate information of the received signal of the array to expand the dimension of the signal model and increase the dimension of the covariance matrix,thereby obtaining more phases and differences,and mapping more virtual array elements.After induction,the non-circular signal Do A(Direction of Arrival)based on nested array and coprime array is estimated to estimate the maximum number of sources that can be resolved by the improved algorithm.At the same time,through further derivation of the original theorem in the coprime array,it provides support for the induction and summary.Finally,an improved Do A estimation algorithm based on a coprime array signal in a mixed environment of circular and non-circular signals is proposed.Based on the improved algorithm for non-circular signals proposed in this paper,this method uses the characteristics of the signal to realize the stepwise Do A estimation of non-circular signals and circular signals.Through experimental simulation,we comprehensively compared the performance difference between the classic algorithm and the proposed algorithm.The computer simulation results confirmed the advantages of the newly proposed algorithm over the existing algorithms.Under the same conditions,the improved algorithm proposed in this paper greatly increases the maximum number of recognizable signals.