Arrival direction estimation method combining matrix pencil and root extraction MUSIC

Abstract

The invention discloses an arrival direction estimation method combining a matrix pencil and root extraction MUSIC. The method comprises the following steps S1, a block Hankel matrix is constructed, aself-correlation data matrix is further obtained, a noise subspace and a signal subspace are obtained via singular value decomposition, and a matrix pencil equation is constructed; S2, a first dimension direction cosine is solved via the matrix pencil equation, and a repetition characteristic value is determined via actual value mapping; S3, an actual characteristic value is mapped to a revertingvalue space, an arithmetic average of repetition characteristic value parameters is obtained, and a one-dimensional guiding vector is constructed; S4, a polynomial is constructed via an orthogonalityequation, and a second dimension direction cosine parameter is solved via the polynomial. The method can be used for well solving a problem of multi-angle obscurity caused by the repetition characteristic value, automatic matching between space azimuths and elevation angles can be finished, solving of a repetition matrix pencil characteristic value and an extra pairing method can be prevented, method complexity can be lowered to a certain degree, method adjustment can be performed according to actual needs, and a space parameter estimation order can be changed.

Description

technical field [0001] The invention belongs to the field of radar and array signal processing, in particular to a direction-of-arrival estimation method combining matrix beam and root-finding MUSIC. Background technique [0002] Direction of Arrival (DOA) estimation refers to the estimation of parameters such as the azimuth angle of the space signal arriving at the antenna array element. In many scenarios such as mobile communication, radio navigation and positioning, radar detection, sonar, medical diagnosis, etc., the two-dimensional direction of arrival (2D-DOA) estimation of space sources has very important applications, especially in the military field, such as bidirectional In base radar, it is a research hotspot to accurately locate useful information and suppress interference information. [0003] The existing DOA estimation methods include beamforming algorithms and subspace algorithms. Beamforming algorithms are widely used, but due to the limitation of Rayleigh ...

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Problems solved by technology

[0003] The existing DOA estimation methods include beamforming algorithms and subspace algorithms. Beamforming algorithms are widely used, but due to the limitation of Rayleigh limit, their spatial angular resolution is low. Since Schmidt proposed MUSIC in 1979 After the algorithm, the DOA estimation method based on the subspace began to attract widespread attention. This type of method is based on the orthogonality of the signal subspace and the noise subspace, and performs spatial signal parameter estimation through space division. Typical representatives include multiple Signal classification (MUSIC), rotation invariant subspace (ESPRIT) and matrix bundle (MP), etc.

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