Super-resolution wave arrival angle estimation algorithm based on pseudo data reconstruction

Abstract

The invention provides a super-resolution wave arrival angle estimation algorithm based on pseudo data reconstruction. A covariance matrix with a non-diverged noise eigenvalue is constructed; when anarray guide vector meets an odd function, the constructed covariance matrix is subjected to complex conjugation operation, so that the covariance matrix contains DOA information in a symmetrical position of a target; and the constructed covariance matrix and the constructed covariance matrix subjected to the complex conjugation operation are added to obtain a new covariance matrix. A matching source is added to the new covariance matrix to obtain a matching covariance matrix. The double subtraction is performed on first eigenvalues corresponding to noise subspaces in the matching covariance matrix and first eigenvalues corresponding to noise subspaces of an original covariance matrix to construct a new spatial spectrum. According to the algorithm, the angle resolution is improved, so thatthe detection of the target is facilitated; and symmetric target information is fused, so that the spectrum searching range is halved, the algorithm complexity is effectively reduced, and the storageand transmission requirements of the algorithm on hardware are reduced.

Description

technical field [0001] The present invention relates to an array signal processing method, in particular to a spatial sound source angle of arrival (direction of arrival, DOA) estimation method. Background technique [0002] As the ocean is an important strategic link, countries will definitely pay more attention to ocean research. Sound waves are an essential part of ocean exploration. It is the most stable and continuous energy that can propagate in the ocean environment among the various forms of energy known so far. The use of sonar to collect sound waves in the ocean, and the development of high-resolution and efficient DOA algorithm research will provide a solid theoretical basis for underwater detection, sonar system development, shipwreck salvage, etc., which is of great practical significance. [0003] The rise of the DOA estimation algorithm can be traced back to conventional beamforming (Conventional Beamformer, CBF), but the spatial spectrum formed by this algor...

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Problems solved by technology

The literature "Stoica P, Sharman K C. Maximum likelihood methods for direction-of-arrival estimation.[J].IEEE Trans.acoust.speech Signal Process,1990,38(7):1132-1143." once proposed a maximum likelihood Likelihood algorithm (Maximum likelihood methods), this algorithm is a recognized optimal DOA estimator, its performance can approach the Cramer-Rao Lower Bound (CRLB) when the signal-to-noise ratio is large, but this The algorithm needs multi-dimensional nonlinear search to obtain the orientation information, so its complexity will increase exponentially with the increase of the number of parameters, so the algorithm cannot satisfy the increasingly complex actual engineering environment

The literature "Li J, Li D, Jiang D, etal.Extended-Aperture Unitary Root MUSIC-Based DOA Estimation for CoprimeArray[J].IEEE Communications Letters,2018,22(4):752-755." After further research, the unitary transformation Root MUSIC is proposed. This algorithm not only effectively reduces the complexity of the algorithm, but also shows that this algorithm has higher estimation accuracy than conventional MUSIC and Root MUSIC algorithms, but this method reduces the number of identifiable targets. Half, it is only suitable for uniform linear arrays, and the mutual information between arrays will also weaken the DOA estimation performance to a certain extent

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