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Intelligent system and method for forecasting robust radar sea clutter

A forecasting system, sea clutter technology, applied in radio wave measurement systems, special data processing applications, instruments, etc., can solve the problems of insufficient, easy to be affected by human factors, low intelligence, and low robustness

Inactive Publication Date: 2011-08-10
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of the existing radar sea clutter forecasting methods, such as low robustness and insufficient intelligence, which are easily affected by human factors, the present invention provides an intelligent radar sea clutter forecasting system with good robustness and avoiding the influence of human factors. method

Method used

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  • Intelligent system and method for forecasting robust radar sea clutter

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Embodiment 1

[0084] refer to figure 1 , figure 2 , a robust intelligent radar sea clutter forecasting system, including a radar 1, a database 2 and a host computer 3, the radar 1, database 2 and the host computer 3 are connected in sequence, the radar irradiates the detected sea area, and the radar sea The clutter data is stored in the database, and the upper computer 3 includes:

[0085] The data preprocessing module 4 is used for radar sea clutter data preprocessing, which is completed by the following process:

[0086] 1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0087] 2) Normalize the training samples to obtain the normalized amplitude

[0088] x ‾ i = x i - min x max x - min ...

Embodiment 2

[0122] refer to figure 1 , figure 2 , a method for forecasting robust intelligent radar sea clutter, said method comprising the following steps:

[0123] (1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0124] (2) Normalize the training samples to obtain the normalized amplitude

[0125] x ‾ i = x i - min x max x - min x

[0126] Among them, minx represents the minimum value in the training sample, and maxx represents the maximum value in the training sample;

[0127] (3) Reconstruct the normalized training samples to obtain the input matrix X and the corresponding output matrix Y respectively:

[0128] X = ...

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Abstract

The invention discloses an intelligent system for forecasting robust radar sea clutter, comprising a radar, a database and an upper computer, wherein the radar, the database and the upper computer are successively connected; the radar irradiates a detected sea area; radar sea clutter data are stored in the database; the upper computer comprises a data preprocessing module, a modeling module of a robust forecast model, an improved intelligent optimization module, a sea clutter forecast model, a discriminative model updating module and a result displaying module. The invention also provides an intelligent method for forecasting the robust radar sea clutter. The invention provides the intelligent method and system for forecasting the robust radar sea clutter, which have good robustness and avoid the influence of the manual factor.

Description

technical field [0001] The invention relates to the field of radar data processing, in particular to a robust intelligent radar sea clutter forecasting system and method. Background technique [0002] Sea clutter, that is, backscattered echoes from a patch of sea illuminated by radar transmissions. Because sea clutter severely restricts the detectability of radar echoes from "point" targets on or near the sea surface, such as navigational buoys and ice blocks floating on the sea, the study of sea clutter has a great impact on the ocean background. The detection performance of ships and other targets has a very important impact, so it has important theoretical significance and practical value. [0003] Habitual Shanghai clutter is regarded as a single random process, such as lognormal distribution, K distribution, etc. However, these models have their specific limitations in practical applications. One of the important reasons is that the seemingly random waveforms of sea c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S7/48G01S7/539G06F19/00
Inventor 刘兴高闫正兵
Owner ZHEJIANG UNIV
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