Coherent signal doa estimation method based on single snapshot data

Abstract

The invention discloses a single-snapshot data-based coherent signal DOA estimating method and relates to the technical field of array antenna systems or methods capable of indicating different signal directions. The method comprises rearranging the single-snapshot received data of an array to obtain two pseudo-covariance matrixes, and then through two pseudo-covariance matrixes, expanding the covariance matrix of a subspace restructuring algorithm; performing singular value decomposition on the new pseudo-covariance matrixes to obtain a signal subspace and a noise subspace, and performing DOA estimation on incoming coherent wave signals through a MUSIC spectrum estimating method. The single-snapshot data-based coherent signal DOA estimating method can eliminate coherence among source signals under single-snapshot conditions and meanwhile further improve the DOA estimating precision. The single-snapshot data-based coherent signal DOA estimating method is mainly applied to rapid estimation of incoming directions of coherent signals under the single-snapshot conditions.

Description

technical field [0001] The present invention relates to the technical field of an array antenna system or method capable of simultaneously indicating different signal directions, in particular to a method for estimating DOA of a coherent signal based on single snapshot data. Background technique [0002] The super-resolution direction of arrival (DOA) technology represented by classic algorithms such as multiple signal classification algorithm (MUSIC, multiple signal classification) and signal parameter estimation algorithm based on rotation invariant technology (ESPRIT, estimation of signal parameter via rotational inviance techniques) is An important research point of modern spatial spectrum estimation. Its accuracy and real-time performance in estimating the signal space angle of arrival and its wide application prospects have aroused great concern of people. In the classic DOA estimation algorithm, the implementation of the MUSIC algorithm and the ESPRIT algorithm both ...

AI Technical Summary

Problems solved by technology

Algorithms based on data cross-correlation preprocessing can obtain better DOA estimation performance, but additional calculations are added in data preprocessing, and DOA estimation performance is affected by the data received at reference points

At present, most of the pseudo-covariance matrices constructed in the DOA estimation algorithm under the condition of a single snapshot are square matrices, and other forms of pseudo-covariance matrices have not been fully applied.

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