A 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, which belongs to the field of array signal processing. The main steps are: perform beam space processing on the signal sampling data to obtain the maximum likelihood target equation of the beam space; initialize the population of quantum meme methods; construct and calculate the fitness, and record high-quality quantum individuals; evolve the quantum individuals to generate New quantum individual; merge the new population obtained after evolution with the original population, and select a new population; perform local search on high-quality quantum individuals to find high-quality solutions; map the global optimal quantum individual to the angle space of the direction of arrival, Output as the direction finding result. The invention has the advantages of small calculation amount and high stability, and can perform direction finding on the coherent source, and solves the problem that the existing maximum likelihood-type direction-finding method has large calculation amount and complicated system, and the feature decomposition-type direction-finding method cannot The theoretical and technical problems of effective direction finding from coherent signal sources.

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 a quantum meme evolution mechanism. Background technique [0002] The research on the spatial spectrum estimation method in 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. In the existing eigendecomposition-like direction finding methods, the steering vectors of some coherent sources are not completely orthogonal to the noise subspace. Without special processing, the problem when the signal source is a coherent source cannot be solved. Although the spatial smoothing technology solves the problem of direction finding of the coherent source, it requires the array to have translation invariance. Its resolution is reduced. While the maximum likelihood estimation is a kind of best esti...

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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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