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Sky wave radar ionosphere correction coefficient extraction method

An ionospheric correction and extraction method technology is applied in the field of ionospheric correction coefficient extraction of TB radar, which can solve problems such as inconsistency of target parameters, and achieve the effects of accurate calculation, easy training and easy migration.

Active Publication Date: 2021-06-11
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0008] The technical problem solved by the present invention is: in order to overcome the defect that the ionospheric environment detection subsystem is inconsistent with the target parameters of the sky-wave main radar and improve the target positioning accuracy, the present invention relates to a method for extracting the ionospheric correction coefficient of the sky-wave radar

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[0068] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Orientation indicated by rear, left, right, vertical, horizontal, top, bottom, inside, outside, clockwise, counterclockwise, etc. The positional relationship is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, Therefore, it should not be construed as limiting the invention.

[0069] see Figure 1-Figure 3 , the present invention proposes a sky-wave radar ionospheric correction coefficient extraction method, the advantage of the present invention is to model the multi-scale phenomenon of the ground-sea clutter sp...

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Abstract

The invention provides aTB radar ionosphere correction coefficient extraction method. According to the method,modeling is performed on a multi-scale phenomenon of a ground-sea clutter spectrum, a transformation relation of convolution kernels among different scales is established based on a multi-grid idea, and a TB radar multi-scale ground-sea clutter classifier is constructed. A land / sea boundary or a terrain contour formed by land-sea clutter recognition results and shape information of prior geographic information are fully considered, the land-sea clutter recognition results of a target area and the prior geographic information are clustered; and the similarity of clustering results is calculated by using a shape context method; and after ground-sea clutter clustering results are matched with prior geographic information clustering results, distance and azimuth correction coefficients are calculated. The method provides a new thought for extraction of the TB radar ionosphere correction coefficients, and has practical engineering significance on how to correctly match the ground / sea boundary or terrain contour formed by the ground-sea clutter recognition results with the prior geographic information and how to calculate distance and azimuth correction coefficients.

Description

technical field [0001] The invention belongs to the field of radar data processing, in particular to a method for extracting TB radar ionospheric correction coefficients. Background technique [0002] Since the ionospheric environment detection subsystem is different from the sky-wave main radar in terms of working methods and detection channels, there are problems such as inaccurate coordinate registration parameters provided by the ionospheric detection subsystem and inconsistency with the main radar target parameters, resulting in The target positioning error of sky wave radar is relatively large. [0003] Most of the existing sea clutter recognition methods adopt the method of feature extraction and classification separation, that is, artificially extract the sea clutter features, and then input them into a classifier for recognition. However, in the actual working environment of radar, this method has problems such as insufficient feature utilization, low precision, an...

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Application Information

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IPC IPC(8): G01S7/41G06F17/15G06N3/02
CPCG01S7/417G06F17/15G06N3/02Y02A90/10
Inventor 王增福李灿张钰兰华卢琨陈志坚潘泉
Owner NORTHWESTERN POLYTECHNICAL UNIV
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