Wave beam forming method

Abstract

The invention relates to a wave beam forming method. The wave beam forming method is characterized in that Fourier transform analysis of data received by a receiving array can be carried out to realize phase compensation and accumulation; conjugate multiplication of the accumulated data can be carried out, and the energy of the orientation theta can be acquired; various array element receiving data covariance matrixes of the frequency f can be calculated, and the first covariance matrix can be recorded; the M order sensor cross-correlation processing of the first covariance matrix can be carried out to acquire the virtualized linear array; the routine wave beam forming of the virtualized linear array can be carried out, and the target orientation estimation can be carried out, and then the energies of various array elements of the virtualized linear array on the orientation theta can be acquired; various array element receiving data covariance matrixes of the virtualized linear array of the frequency f can be calculated; whether the main lobe width of the current M order sensor cross-correlation CBF on the 3dB reaches the resolving ability required by the user can be determined, when the requirement is not satisfied, the array element receiving data covariance matrixes of virtualized linear array of the frequency f can be used as the first covariance matrix, and the M order sensor cross-correlation can be repeated after the M is increased by 1, otherwise the operation is ended.

Description

technical field [0001] The invention relates to the field of target detection, in particular to a beam forming method. Background technique [0002] In target detection and azimuth estimation, beamforming (BF) plays an important role in dragging linear arrays. For conventional beamforming, the angular resolution cannot exceed the "Rayleigh limit". With the complexity and changes of the actual situation, the demand for estimating multiple target orientations at the same time is becoming more and more urgent. In order to obtain high-resolution beamforming technology, relevant scholars have proposed different methods, which can be roughly divided into two categories: [0003] 1. Subspace method, which is based on the eigendecomposition theory of covariance matrix, using signal subspace and noise subspace. Orthogonal characteristics significantly improve the target resolution ability, obtain asymptotically unbiased estimation of azimuth parameters, and make the azimuth estima...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the defect that the beamforming technology in the prior art cannot satisfy high resolution and tolerance at the same time, thereby providing a beamforming method with both high resolution and tolerance

Images