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System and method for detecting sea target by chaos optimizing radar

A target detection and radar technology, applied in radio wave measurement systems, special data processing applications, instruments, etc., can solve the problems of being easily affected by human factors and low accuracy

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

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the existing radar sea target detection method that is not high in accuracy and easily affected by human factors, the present invention provides a high-precision chaotic optimization radar sea target detection system and method that avoids the influence of human factors

Method used

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  • System and method for detecting sea target by chaos optimizing radar

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Embodiment 1

[0095] refer to figure 1 , figure 2 , a chaotic optimization radar sea target detection 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 1 irradiates the detected sea area, and the radar sea The clutter data is stored in the database 2, and the upper computer 3 includes:

[0096] The data preprocessing module 4 is used for radar sea clutter data preprocessing, which is completed by the following process:

[0097] 1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0098] 2) Normalize the training samples to obtain the normalized amplitude

[0099] x ‾ i = x i - min x max x - min ...

Embodiment 2

[0139] refer to figure 1 , figure 2 , a kind of chaotic optimization radar sea target detection method, described method comprises the following steps:

[0140] (1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0141] (2) Normalize the training samples to obtain the normalized amplitude

[0142] x ‾ i = x i - min x max x - min x

[0143] Among them, minx represents the minimum value in the training sample, and maxx represents the maximum value in the training sample;

[0144] (3) Reconstruct the normalized training samples to obtain the input matrix X and the corresponding output matrix Y respectively:

[0145] X = ...

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Abstract

The invention discloses a system for detecting a sea target by a chaos optimizing radar, 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 forecast model, a chaos optimization module, a sea clutter forecast model, a discriminative model updating module and a result displaying module. The invention also provides a method for detecting a sea target by a chaos optimizing radar. The invention provides the system and the method for detecting a sea target by a chaos optimizing radar, which have high precision 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 chaotic optimization radar sea target detection system and method. Background technique [0002] Sea clutter, that is, radar backscatter echoes from the sea surface. In recent decades, with the in-depth understanding of sea clutter, Germany, Norway and other countries have successively tried to use radar to observe sea clutter to obtain radar wave images to invert wave information, so as to obtain real-time information about the state of the ocean, such as the Wave height, direction and period, etc., so as to further detect small targets at sea, which is of great significance to maritime activities. [0003] Maritime target detection technology plays an important role, and providing accurate target judgment is one of the important tasks of marine radar. The radar automatic detection system makes a judgment under a given detection threshold according to the judgment criter...

Claims

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Application Information

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