Quantum universal gravitation searching dynamic DOA estimation method under impulsive noise environment

Abstract

The invention relates to a quantum universal gravitation searching dynamic DOA estimation method under an impulsive noise environment. The quantum universal gravitation searching dynamic DOA estimation method is implemented together through a quantum universal gravitation searching mechanism and dynamic updating of a weighted signal covariance maximum likelihood equation, wherein the fact that robust tracking is conducted on the direction of arrival of a dynamic target is considered. The method comprises the steps that snapshot sampling and weighted processing are conducted on D source signals of space; the initial sates of all objects of the quantum universal gravitation searching mechanism are determined; a best objective function value and a worst objective function value are determined; the weight of each object in a tth iteration is calculated; an objective function value is calculated, whether the biggest number of iteration times is reached or not is judged; weighted processing is conducted on sampled data; the maximum tracking times are judged; a dynamic tracking result is output. The quantum universal gravitation searching dynamic DOA estimation method under the impulsive noise environment solves the problem of dynamic objective direction tracking under the impulsive noise environment, the designed quantum universal gravitation searching mechanism is used as a searching strategy, and the designed method has the advantages of being quick and high in robustness.

Description

technical field [0001] The present invention relates to a search mechanism of quantum gravitation and the dynamic update of the weighted signal covariance maximum likelihood equation, which considers the robust tracking of the direction of arrival of the dynamic target in the impact noise environment. Quantum gravitational search dynamic DOA estimation method. Background technique [0002] As the key technology of wireless communication system, radar and missile guidance, dynamic DOA estimation technology is the key to determine whether the source signal can be quickly tracked and the precise positioning can be realized. Subspace update algorithm is the focus of research in the field of dynamic DOA estimation. Among them, the subspace update algorithm can be divided into three categories according to its principles: the first category is the direct extension of the static DOA estimation method, such as the power iteration algorithm and other subspace update algorithms based...

AI Technical Summary

Problems solved by technology

However, another disadvantage of maximum likelihood algorithm angle estimation is that the search process is a complex and time-consuming process with a huge amount of computation.

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