Research On The Structure And Parameter Estimation Technology Of Compressed Sampling Array

In recent years,joint estimation of carrier frequency and direction of arrival(DOA)has become a hot research in array signal processing.However,with the technology development of the array signal processing,the requirements for parameter estimation accuracy are constantly increasing.The most direct and effective method to increase the estimation accuracy is to increase the number of antennas,which leads to the increase of the hardware implementation cost of the system.Moreover,the existing digital receivers have a large amount of sampling data,which makes the signal processing algorithms to process more and more data,and also increases the hardware implementation cost of the system.In order to solve these problems,there are two aspects of research growing up.One is the sparse array theory.It can increase the array aperture by sparsely placing the antennas,which improves the estimation accuracy without increasing the number of physical antennas.The other is using the compressed sampling(CS)theory.That can reduce the volume of the sampling data which reduce the burden of subsequent signal processing.It can be imagined that combining these two technologies can simultaneously acquire the advantages of sparse array and CS theory,which will further reduce the complexity of the array receiving system and the amount of computation of the subsequent signal processing algorithm,so as to reduce the cost of system implementation.This thesis is focus on this aspect of research and proposes a single channel CS uniform linear array(ULA)structure,a CS sparse array(SA)structure with one-stage delay and a doubly compressed sparse array(DCSA)structure respectively.This thesis further deduces the CS array signal model of each structure,and the multiple signal classification(MUSIC)algorithm is used to process the CS data directly to realize the joint estimation of carrier frequency and DOA without signal reconstruction,which can reduce the algorithm computation.The research of this thesis will provide a new idea for the further development of array receiving system.The main innovations of this paper are as follows:Firstly,in view of the complexity of the existing multi-channel CS ULA structure,the high cost of system implementation and the large amount of computation of the algorithm of using reconstructed signal to realize the signal carrier frequency and DOA estimation,a single channel CS ULA structure is proposed,which simplifies the system structure.A joint estimation algorithm of carrier frequency and DOA without signal reconstruction is further proposed to realize the joint estimation of carrier frequency and DOA by processing the CS data directly,which reduces the algorithm computation.Secondly,the CS technology is further applied to the sparse array.By using the advantages of layout flexibility and low redundancy of sparse array,a single channel CS SA structure is proposed which can effectively reduce the cost of system implementation.The single channel CS SA structure also has better joint estimation performance of carrier frequency and DOA than the single channel CS ULA structure under the same number of branches.In order to further improve the performance of the system,a CS SA structure of one-stage delay is proposed,and the delay CS output is used to construct the combining CS data to improve the performance of joint estimation of carrier frequency and DOA at the expense of algorithm computation,so as to further reduce the complexity of the structure.Finally,a DCSA structure is proposed.The compression SA structure based on the compressed sensing theory is used to compress the dimension of the array received signal,so as to reduce the number of the channels needed for CS.After that,the discrete modulation wide band converter(MWC)structure is used to complete the CS.By this way,both the structure and the sampling data are compressed in the system.In this thesis,the performance of joint estimation of carrier frequency and DOA is further analyzed.Then the simulation results show that the proposed structure can realize joint estimation of carrier frequency and DOA by using the number of signal processing channels less than the number of array elements,which further reduces the complexity and cost of array receiving system.