Space projection-based pseudo source identification method

Abstract

The invention relates to a pseudo signal source identification method based on space projection, and belongs to the technical field of array signal processing. According to the method, under the condition that related information sources exist and the number of the information sources is unknown, when pseudo information source spectrum peaks exist in spatial spectrums of MUSIC, subspace fitting and other algorithms, the pseudo information sources can be identified, and therefore the accurate information source spatial distribution state is obtained. According to the method, an identification space and a confidence value calculation model are constructed by utilizing the uniqueness of a space complete base to vector description in a space, and a pseudo source spectrum peak is effectively identified by calculating a confidence value of each steering vector in the identification space, so that the method can be used as a post-processing means of spatial spectrum algorithms such as MUSIC and subspace fitting; high-precision direction finding under the condition that the number of information sources is unknown is achieved, and the engineering applicability of the algorithm is further improved.

Description

technical field [0001] The invention relates to a false information source identification method based on spatial projection in the technical field of array signal processing. Background technique [0002] Since the super-resolution direction finding technology has successfully broken through the Rayleigh limit, the spatial resolution has been significantly improved compared with the traditional direction finding method, and has unique technical advantages. The main technical means used in super-resolution direction finding are MUSIC algorithm, subspace fitting algorithm, etc., but the above algorithms need to predict or estimate the accurate number of signal sources to complete the angle of arrival estimation. However, in practical engineering applications, the number of sources is often unknown, which has a serious impact on the performance of algorithms such as MUSIC and subspace fitting, and limits the applicable environment of these algorithms. Traditional information ...

AI Technical Summary

Problems solved by technology

The main technical means used in super-resolution direction finding are MUSIC algorithm, subspace fitting algorithm, etc., but the above algorithms need to predict or estimate the accurate number of sources to complete the angle of arrival estimation.

However, in practical engineering applications, the number of sources is often unknown, which has a serious impact on the performance of algorithms such as MUSIC and subspace fitting, and limits the applicable environment of these algorithms.

Traditional information source estimation techniques, such as information theory method and Gay world method, etc., are proposed for the condition of non-coherent information sources. When there are related information sources, it is often impossible to provide accurate information on the number of information sources.

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