Research On Non-uniform Linear Array DOA Algorithm

Super-resolution spatial spectrum estimation of arrival estimation is a hot research. High-resolution DOA Estimation is widely used in electronic warfare, communications and submarine sonar precision fields. At first, this paper demonstrates the antialiasing performance of time-domain non-uniform sampling, and demonstrates the dual relationship of temporal and spatial sampling for the temporal and spatial non-uniform sampling dual problem. By the spatial non-uniform array DOA algorithm, this paper have done a large number of simulations to verify the advantages and good performance. In addition, the paper discussed the performance of different kind of arrays. This paper focuses on the following aspects:Firstly, through temporal segmentation superposition non-uniform sampling algorithm, the paper verified a good anti-aliasing performance of the method by experiment. From the physical model the paper summed up the similarity of temporal and spatial sampling. In addition, basing on the base decomposition, the paper argued the duality of temporal Fourier transform algorithm and spatial correlation matrix decomposition algorithm. In order to bed for the extension from temporal algorithm to spatial algorithm.Secondly,this paper focuses on the wide-band signal direction finding array design for uniform array. For the problem that the uniform array finding performance at high and low frequency is different. This paper use non-uniform array to solve the low frequency signal detected weak defects. Uniform array measured signal frequency on a narrow rang. On the other side, the non-uniform array having the same number of array element scan measure a wider range frequency with unambiguous measure menton high frequency signal and higher definition on low frequency signal. Through a lot of simulation, the conclusion is that non-uniform linear array have DOA advantages and it is worth researching.Finally, focusing on the physical structure for non-uniform array problems, the paper categorizes the non-uniform array by geometry and the distance of array elements. Using MUSIC algorithm and other algorithms to research the anti-aliasing of non-ULA from direction finding resolution, ambiguity, as well as to the accuracy of the measured three aspects. The paper analyzes the different non-uniform distribution of the arrays to the measured differences in performance and analyzes the performance difference. In this paper, different spectral estimation algorithm for non-uniform array to measure a broad analysis accuracy. In addition, it argues the relationship of measures performance and an array of non-uniform distribution discussion.