Two-dimensional chaff distribution characteristic identification method based on support vector machine algorithm

Abstract

The invention belongs to the technical field of two-dimensional chaff cloud distribution characteristic identification, and discloses a two-dimensional chaff distribution characteristic identificationmethod based on a support vector machine algorithm. The method comprises the following steps: carrying out test preprocessing and library building operation, throwing chaffs with known types in a view-finding visual field range of a high-speed camera, properly shooting and storing a plurality of pictures diffused by the chaffs, and taking the pictures as a data source of a database; officially carrying out a test, and carrying out photo shooting and retention on the cloud diffusion process of the chaff containing the chaff of the unknown type; based on a support vector machine algorithm and an HOG feature extraction method, performing edge searching on the collected test picture, and segmenting the picture according to edge continuity; performing chaff length and posture recognition on each segmentation sub-object, regarding the length as the length of a chaff to be solved, and obtaining the posture angle of the chaff by calculating the slope of the connecting line of the upper end point and the lower end point. According to the method, the accuracy of establishing the chaff cloud diffusion model is effectively improved, and meanwhile, the data processing efficiency in a chaff test is improved.

Description

technical field [0001] The invention belongs to the technical field of two-dimensional chaff cloud distribution characteristic recognition, and in particular relates to a two-dimensional chaff distribution characteristic recognition method based on a support vector machine algorithm. Background technique [0002] At present, the closest existing technology: in electromagnetic warfare, the use of chaff cloud has a long history, simple production, obvious effect, and low cost, and has been widely used in the battlefield. As the electronic confrontation between the enemy and the enemy, the radar as the main reconnaissance equipment plays a vital role in the defense of countries all over the world. Therefore, in modern warfare, especially in future warfare, chaff jamming technology releases a large amount of chaff in space, resulting in a large difference between the echo obtained by the enemy radar and the real echo of the target, so that the enemy radar Cannot identify target...

AI Technical Summary

Problems solved by technology

[0004] To sum up, there are several significant deficiencies in the establishment of the chaff cloud diffusion model: First, the chaff cloud diffusion model based on the ideal model has no practical significance in the battlefield environment, the battlefield environment or the wake environment are intricate, and the chaff cloud The diffusion of chaff generally does not follow a uniform distribution, normal distribution or exponential distribution, and using these ideal distributions to establish a chaff cloud model will not be able to simulate the real environment; secondly, it is difficult to establish a complex and smooth chaff cloud diffusion model through theoretical means. The reason is that there are still some unresolved problems in the aerodynamics in the complex flow field. At the same time, using traditional numerical methods (such as using the finite time domain difference algorithm to solve the diffusion equation) to simulate the flow field and chaff displacement faces many difficulties. A large amount of calculation; again, in the existing chaff cloud movement and diffusion experiments, image recognition technology is rarely introduced into it, and the collected pictures are analyzed and chaff feature extraction is performed, and relevant data are processed manually (such as chaff Attitude analysis and chaff center point distribution characteristics analysis) will face a huge workload and consume unnecessary manpower and material resources

[0006] (1) The chaff cloud model based on the common distribution in the existing technology is quite different from the actual one, especially in the chaff diffusion modeling in the complex flow field, there is no unified theoretical method at present

[0007] (2) In the existing chaff cloud diffusion experiments, image recognition technology has not been used to extract the attitude and distribution characteristics of chaff, which makes the modeling of chaff cloud diffusion based on pictures inefficient

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