Beam space direction finding method based on quantum meme evolution mechanism

Abstract

The invention discloses a beam space direction finding method based on a quantum meme evolution mechanism, and belongs to the field of array signal processing. The method comprises the main steps thatbeam space processing is carried out on signal sampling data, and a maximum likelihood target equation of a beam space is obtained; population of a quantum meme method is initialized; the adaption degree is constructed and calculated, and high-quality quantum individuals are recorded; the quantum individuals are evolved to generate new quantum individuals; a new population obtained after evolution is merged with the original population, and the new population is selected; the high-quality quantum individuals are searched locally to search for a high-quality solution; and the globally optimalquantum individual is mapped to an angular space of the DOA and output as a direction finding result. The method has the advantages of low computational complexity and high stability, the direction ofa coherent source can be measured, and the technical problems that an existing maximum likelihood type range finding method is high in computational complexity and complex in system and a characteristic decomposition type range finding method cannot measure the direction of the coherent signal source effectively are solved.

Description

technical field [0001] The invention belongs to the field of array signal processing, in particular to a beam space direction finding method based on quantum meme evolution mechanism. Background technique [0002] The research on the spatial spectrum estimation method of the beam space mainly focuses on the following directions, one is to reduce the amount of calculation, the other is to improve the robustness, and the third is to reduce the complexity of the system. The existing eigendecomposition type direction finding method, because the steering vector of some coherent sources is not completely orthogonal to the noise subspace. Without special processing, it is impossible to solve the problem when the signal source is a coherent source. Although the spatial smoothing technology solves the problem of direction finding of a coherent source, it requires the array to have translation invariance, and because this method has a loss on the effective aperture of the array, the ...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a solution to the existing maximum likelihood direction finding method, which has the disadvantages of large amount of calculation and high system complexity and the problem that the eigendecomposition-like beam space direction finding method cannot solve the problem of coherent sources, which can be obtained in a relatively short period of time. A Beam Space Direction Finding Method Based on Quantum Memetic Evolution Mechanism for More Accurate Direction Finding Results

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