DOA (direction-of-arrival) estimation method employing co-prime array

Abstract

The invention provides a DOA (direction-of-arrival) estimation method employing a co-prime array, and relates to the field of array signal processing. Based on the sparse reconstruction idea in compressed sensing, the DOA estimation method for a co-prime construction based on an OMP algorithm solves a problem that an airspace smooth MUSIC algorithm causes the reduction of virtual array elements, and enables the number of detection targets to exceed MN. Because the co-prime array, a novel nest array, is employed, the DOA estimation performance is remarkably improved, and the number of estimated targets is increased. During the array multi-target estimation, the method is very good in estimation performance. During the use of the co-prime array, the number of estimated targets exceeds NM. The method further increases the number of estimated targets of the co-prime array under the same number of array elements. The method can carry out the reconstruction of a sparse signal simply and efficiently, finally gives a DOA estimation result quickly and efficiently. During a high SNR (Signal to Noise Ratio), the estimation precision of the method is higher than the precision of a spatial smooth MUSIC algorithm.

Description

technical field [0001] The invention relates to the field of array signal processing, in particular to a direction-of-arrival estimation method. Background technique [0002] Direction of arrival estimation is widely used in radar, sonar and wireless communication. However, the traditional direction of arrival estimation method can only solve the situation where the number of targets is less than the number of array elements. Therefore, how to use a small number of array elements to detect more Multi-objective is a problem worthy of study. In practice, the commonly used N-element uniform line array can only estimate the direction of arrival of N-1 targets at most. In recent years, a linear array with a new geometric structure—coprime array has been proposed, which makes the number of estimated targets far exceed the number of array elements N. In fact, a coprime array with N+M array elements can estimate The number of targets can reach O(MN), that is, the number of targets...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, the present invention is based on the idea of ​​sparse reconstruction in compressed sensing, and constructs a direction-of-arrival method based on the OMP algorithm for coprime array construction, which overcomes the problem of the reduction of virtual array elements caused by the spatial smoothing MUSIC algorithm, so that The number of detected targets exceeds MN, and the simulation proves that the method has good estimation accuracy at high signal-to-noise ratio

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