Planar array multiple-target angle high-resolution realizing method

Abstract

The invention discloses a planar array multiple-target angle high-resolution realizing method. The planar array multiple-target angle high-resolution realizing method comprises the steps of S1, conducting beam domain FFT on received data of arrays in the pitching direction and the azimuth direction with the method for simplifying two dimensions into one dimension, so that the rough directions of targets in the pitching direction and the azimuth direction are obtained; S2, conducting two-dimension angle traversal pairing according to the obtained azimuth angle and pitching angle, and determining an angle searching region; S3, estimating the two-dimension angles of the multiple targets and determining the number and angle of the targets. By the adoption of the planar array multiple-target angle high-resolution realizing method, the angle of the multiple targets can be effectively estimated, algorithm calculation is far smaller than that of the traditional planar array angle resolution algorithm, and engineering realization is facilitated.

Description

technical field [0001] The invention relates to the field of phased array radar, in particular to a method for realizing high resolution of multi-target angles in a plane array. Background technique [0002] Direction of Arrival (DOA) estimation has always been one of the important research contents of array signal processing, and plays a very important role in communication, sonar, radar, ocean development, biomedical engineering and other application fields. [0003] The spatial spectrum estimation algorithm can break through the "Rayleigh limit" limitation of the angular resolution of the array, and improve the spatial angular resolution capability. The subspace algorithm represented by the MUSIC algorithm has attracted extensive attention of researchers due to its good resolution performance, and is the most commonly used method in DOA estimation. [0004] In actual engineering, limited by conditions, the small number of snapshots and the existence of array errors will ...

AI Technical Summary

Problems solved by technology

In the literature, projective transformation is used to project the received data of the array to the general direction interval of the signal source. On the one hand, the preprocessing of the received data is used to suppress the model error and enhance the robustness of the algorithm; In this method, constructing the projection transformation matrix and calculating the projection matrix in the direction interval will bring a new large amount of calculation, and the real-time performance of the algorithm is worse in the case of a two-dimensional array and multiple targets.

Using pre-stored methods to improve real-time performance requires traversing all two-dimensional angles, which will put a lot of pressure on the hardware storage of the system

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