Target ship direction estimation method based on differential evolution mechanism

Abstract

The invention discloses a target ship direction estimation method based on a differential evolution mechanism. The method includes the following steps that firstly, a multi-variation strategy is blended in a differential evolution optimization algorithm, so that the improved differential evolution mechanism is formed, wherein the multi-variation strategy comprises three processes of variation, hybridization and selection; secondly, the improved differential evolution mechanism acquired in the first step and a likelihood function are combined and used for estimating the DOA direction of a target ship. According to the method, the multi-variation strategy and a survival of the fittest mechanism are firstly blended in the differential evolution optimization algorithm and then the improved differential evolution mechanism and the likelihood function are combined and used for estimating the DOA direction of the target ship. Tests show that the reasonability of an improved differential evolution scheme is shown through the method and the method has better optimization performance than other algorithms; in addition, the improved differential evolution scheme is applied to the target ship direction estimation method, effectiveness is achieved, and the robustness of the method is better than that of other traditional methods.

Description

technical field [0001] The invention belongs to the field of signal processing, and in particular relates to a ship positioning method based on a differential evolution mechanism. Background technique [0002] Ships are an important carrier of maritime traffic. Due to the "complexity" of the marine environment and the "fickleness" of the climate, the safe operation of the ship will inevitably be affected, and even damage to the ship itself will cause average accidents. Once an accident occurs, the navigation The ship's orientation information will provide vital scientific support for the safety assurance department to make accurate maintenance or search and rescue decisions; not only that, in order to ensure the safe navigation of the ship, the ship's orientation is the basis for the automatic positioning and identification of maritime intelligent traffic and the ship collision avoidance system. important basis for decision-making. [0003] Direction of Arrival (DOA) estima...

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Problems solved by technology

Although numerous numerical optimization analysis examples have verified that DE has better optimization and convergence performance than genetic algorithm (genetic algorithm, GA) and particle swarm optimization (particle swarm optimization, PSO) algorithms (see literature: Wang R.J., Zhu Y .Nonlinear dynamic system identification based on FLANN[J].Journal of Jimei University(Natural Science),2011,16(2):128-134); but it still has slow convergence speed and convergence The "premature" deficiency

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