Research On Parameter Estimation Based On Improved Array MWC Structure

With the rapid development of modern information technology,the challenges faced by array reception systems in electronic reconnaissance environments have become increasingly severe.Combining compressed sampling technology with array signal processing technology has broad application prospects.It can reduce the sampling rate as much as possible and reduce the huge amount of sampling data generated by multi-channel array signal processing,while also completing array based spatial and frequency domain parameter estimation,which is of great research significance.Therefore,in order to further reduce the complexity of the array compression sampling system,reduce the computational complexity of parameter estimation,and improve parameter estimation performance,this article proposes a series of new array compression sampling systems based on the improved Modulated Broadband Converter(MWC)structure and parameter estimation schemes based on the proposed system.The specific content is as follows:1.In response to the large amount of data generated by traditional Nyquist sampling and the problems of complex structure and large parameter estimation computation in existing array compression sampling systems,a uniform linear array compression sampling system based on MR-MWC is proposed.This system designs the mixing function and improves the structure of the frequency measurement branch,resulting in a fixed phase difference between adjacent frequency measurement branches,the combination of subband index and baseband frequency can be used to achieve carrier frequency estimation,while eliminating the need for phase compensation in the direction of arrival(DOA)measurement branch.The high-resolution Multiple Signal Classification(MUSIC)algorithm can be directly used to perform onedimensional DOA estimation on the combined compressed sampling data,avoiding the introduction of errors in subband index estimation values,improving estimation accuracy,and the system structure is relatively simple,it also reduces the amount of data operations required for parameter estimation.2.In view of the fact that the two-dimensional DOA estimation can more accurately describe the target signal direction,and there are few array compressive sampling structures that can achieve carrier frequency and two-dimensional DOA estimation,and the existing structures have the defects of complex implementation and insufficient estimation performance,this paper subsequently proposes an L-shaped array compression sampling system based on improved MWC,which extends the MR-MWC structure in the x-axis and sets the MWC singlechannel structure in the y-axis array element.The combined method can still be used to estimate the carrier frequencies of multiple sources with the same carrier frequency based on this system.In order to achieve two-dimensional DOA estimation,the matrix enhancement and matrix pencil two-dimensional DOA estimation algorithm and the root MUSIC two-dimensional DOA estimation algorithm based on this system are further proposed.These two algorithms can directly use the combined compressed sampling data to achieve two-dimensional DOA estimation.The proposed system has low implementation complexity and is conducive to hardware engineering implementation,and the good estimation performance of the parameter estimation algorithm based on this system is demonstrated using simulation experiments.